Literature DB >> 32180546

Chemoptogenetic ablation of neuronal mitochondria in vivo with spatiotemporal precision and controllable severity.

Wenting Xie1,2,3, Binxuan Jiao1,2,3, Qing Bai1,2, Vladimir A Ilin1,2, Ming Sun4, Charles E Burton5, Dmytro Kolodieznyi6, Michael J Calderon4,7, Donna B Stolz4,7, Patricia L Opresko8,9, Claudette M St Croix4,7, Simon Watkins4,7, Bennett Van Houten9,10, Marcel P Bruchez6,11, Edward A Burton1,2,12.   

Abstract

Mitochondrial dysfunction is implicated in the pathogenesis of multiple neurological diseases, but elucidation of underlying mechanisms is limited experimentally by the inability to damage specific mitochondria in defined neuronal groups. We developed a precision chemoptogenetic approach to target neuronal mitochondria in the intact nervous system in vivo. MG2I, a chemical fluorogen, produces singlet oxygen when bound to the fluorogen-activating protein dL5** and exposed to far-red light. Transgenic zebrafish expressing dL5** within neuronal mitochondria showed dramatic MG2I- and light-dependent neurobehavioral deficits, caused by neuronal bioenergetic crisis and acute neuronal depolarization. These abnormalities resulted from loss of neuronal respiration, associated with mitochondrial fragmentation, swelling and elimination of cristae. Remaining cellular ultrastructure was preserved initially, but cellular pathology downstream of mitochondrial damage eventually culminated in neuronal death. Our work provides powerful new chemoptogenetic tools for investigating mitochondrial homeostasis and pathophysiology and shows a direct relationship between mitochondrial function, neuronal biogenetics and whole-animal behavior.

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Keywords:  biochemistry; cell death; chemical biology; chemoptogenetics; mitochondria; motor function; neuroscience; respiration; zebrafish

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Year:  2020        PMID: 32180546      PMCID: PMC7077989          DOI: 10.7554/eLife.51845

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


Introduction

High-resolution intravital imaging, coupled with transgenic expression of fluorescent reporters, provides opportunities to analyze the biology of the intact nervous system. This approach has been particularly successful in larval zebrafish, which combine optical transparency (White et al., 2008) with vertebrate CNS structure and genetics (Burton, 2014), allowing advances in understanding whole-brain activity patterns at cellular resolution (Portugues et al., 2014; Ahrens et al., 2013), the formation of neural circuits (Tay et al., 2011), neuronal mitochondrial trafficking (Dukes et al., 2016) and neuronal autophagy (Khuansuwan et al., 2019). Recent developments in light-sensitive channel proteins (Cosentino et al., 2015) and genetically-encoded photosensitizers (Buckley et al., 2017; He et al., 2016) provide new opportunities to extend these studies from observations to experimental manipulation of the CNS in vivo, by light-induced activation (Ljunggren et al., 2014), inhibition (Bergeron et al., 2015) or ablation (Del Bene et al., 2010) of genetically-defined neuronal populations. In particular, genetically-encoded photosensitizers should offer the means to analyze neuronal biology with stringent spatial resolution, by damaging or ablating defined neuronal populations, cellular subcompartments, organelles or even specific molecules precisely, to determine their roles in nervous system function and pathophysiology. Genetically-encoded photosensitizers often show limited photostability, decreasing the amount of oxidative damage that can be induced by light exposure (He et al., 2016). In addition, they are typically excited by blue or green light, which shows limited penetration through living tissues and can cause direct, untargeted, phototoxicity (He et al., 2016). Furthermore, constitutively-active photosensitizers allow chronic phototoxicity from passive absorption of ambient light. Chemogenetic systems enable selective targeting of genetically-defined cells by expression of a designer receptor that is only activated after administration of a small molecule ligand that binds the receptor specifically (Roth, 2016). Far-red light-sensitive channel proteins enable activation in deep tissues – even through the intact skull (Chuong et al., 2014). For optogenetic applications in vivo, it would be highly advantageous to combine on-demand chemical activation of genetically-targeted cells with photoactivation using far-red light. dL5** is a modified single-chain antibody that can function as a fluorogen-activating protein (FAP) by binding malachite green (MG) fluorogens with picomolar affinity and activating their fluorescence thousands-fold (Szent-Gyorgyi et al., 2008; Szent-Gyorgyi et al., 2013). It was recently reported that a di-iodine substituted MG derivative, MG2I, becomes a potent photosensitizer on binding to dL5** (He et al., 2016). The dL5**-MG2I complex showed maximal excitation in the highly tissue-penetrant far-red light range, and produced singlet oxygen (1O2, molecular dioxygen in its first electronically excited state) through inter-system crossing, with high quantum yield and with little photobleaching (He et al., 2016). Importantly, neither dL5** nor MG2I alone produced detectable 1O2 under far-red illumination, and the dL5**-MG2I complex did not produce 1O2 in the absence of light. This system offers several key advantages as a photosensitizer for use in neuroscience applications in vivo. 1O2 is highly reactive with organic molecules and thus reacts within a short radius (<20 nm) of its site of formation in living systems (its lifetime is approximately 4μs in water [Wilkinson et al., 1995], but may be as low as 100ns in cells [Moan and Berg, 1991]). Consequently, oxidative damage can be provoked with a high degree of spatial precision by fusing dL5** to an appropriate protein or targeting sequence, to direct its expression to a specific sub-cellular region, organelle or protein complex (He et al., 2016). For example, dL5** fused to TRF1, a component of the shelterin complex, was employed recently to induce 8-oxoguanine formation specifically in the telomeric DNA of cultured cells (Fouquerel et al., 2019). Furthermore, as 1O2 is generated only during far-red illumination, the onset of oxidative damage from dL5**-MG2I is temporally well-defined, and its severity and rate of induction can be regulated by adjusting light exposure time and power. Finally, dependence of chemoptogenetic production of 1O2 on the presence of MG2I means that dL5**-expressing transgenic animals and cell lines can be generated, bred, handled and shipped in the absence of MG2I, without having to house them in darkness; this is a significant advantage over constitutively active genetic photosensitizers. Alterations in neuronal mitochondrial function have been strongly linked to several neurodegenerative diseases (Nguyen et al., 2019; Swerdlow, 2018; Carmo et al., 2018) and there is significant interest in understanding how mitochondrial homeostasis and bioenergetics are maintained in neurons under physiological conditions and following mitochondrial damage. Prior work showed that dL5** could be expressed within the mitochondria of cultured HEK293 cells in vitro when fused to an appropriate targeting signal (Qian et al., 2019). Treatment of these cells with MG2I and exposure to far-red light resulted in decreased oxygen consumption, loss of respiratory chain activity, mitochondrial depolarization, compensatory glycolysis, and secondary ROS generation that was sufficient to cause oxidative telomere damage and cell cycle arrest (Qian et al., 2019). Unlike transformed cells in culture, however, neurons are generally dependent on mitochondrial function for ATP generation (reviewed in Van Laar and Berman, 2013) and this is known to influence the responses of neuronal mitochondria to perturbing stimuli (Van Laar et al., 2011). To investigate the consequences of mitochondrial damage in neurons in vivo, we expressed dL5** in the neuronal mitochondria of transgenic zebrafish. In the presence of MG2I, far red light provoked specific disruption of mitochondrial structure, respiration and ATP synthesis, resulting in dramatic neurophysiological and neurobehavioral abnormalities. This highly innovative approach has numerous applications as a tool for understanding neuronal bioenergetics and mitochondrial homeostasis, investigating mitochondrial mechanisms in disease pathogenesis, and manipulating neural circuitry to understand the biological basis of behavior.

Results

Construction of transgenic NeuMitoFAP zebrafish expressing dL5** in neuronal mitochondria

We generated transgenic zebrafish expressing the fluorogen-activating protein (FAP) dL5** (Figure 1A; Szent-Gyorgyi et al., 2008; Szent-Gyorgyi et al., 2013) fused to mitochondrial targeting sequences from human COX4 and COX8 (Telmer et al., 2015), and a fluorescent reporter, mCerulean3, to allow visualization of transgene expression in vivo (Figure 1B; dL5** and mCerulean3 are separated by a flexible GGGGSGGGGS linker to allow correct folding of each domain of the fusion protein). Transgenic lines were made using the bipartite Gal4/UAS system (Asakawa et al., 2008), so that mitochondrially-targeted dL5**-mCerulean3 could be expressed in any tissue or cell population of interest by crossing Tg(UAS:COX4-COX8-dL5**-mCer3) zebrafish with an appropriate tissue-specific Gal4 driver line, thereby enhancing the utility of this line for multiple future applications. For the present study, we generated a new Tg(eno2:gal4FF) line that expresses Gal4FF (an engineered Gal4-VP16 fusion protein with attenuated toxicity; Asakawa et al., 2008) widely in neurons, using a 12 kb eno2 regulatory element that we reported previously (Bai et al., 2007). Double transgenic Tg(eno2:gal4FF)pt425; Tg(UAS:COX4-COX8-dL5**-mCer3)pt427 zebrafish (referred to as ‘NeuMitoFAP’ zebrafish for brevity) showed strong mCerulean3 expression throughout the nervous system (Figure 1C). At high magnification, punctate mCerulean3-labeled structures corresponding to individual mitochondria were visible within axons of live NeuMitoFAP larval neurons (Figure 1D). Tissue sections revealed extensive co-localization of mCerulean3 with TOM20 (a mitochondrial marker) in CNS neurons of NeuMitoFAP zebrafish (Figure 1E). Pixel-by-pixel analysis of single confocal planes showed that the mCerulean3 signal correlated strongly with the mitochondrial TOM20 signal, but not with the nuclear DAPI signal (Figure 1F,G). These data show that dL5**-mCerulean3 is expressed in the neuronal mitochondria of NeuMitoFAP zebrafish.
Figure 1.

Generation of NeuMitoFAP zebrafish.

(A) When the fluorogen MG2I (chemical structure shown on left) is bound to the fluorogen-activating protein (FAP) dL5** (right), excitation by far-red light causes generation of singlet oxygen. (B) Diagrams of transgene constructs eno2:gal4FF (above) and UAS:COX4-COX8-dL5**-mCer3 (below). Transactivation of the UAS enhancer by Gal4 in the neurons of double transgenic Tg(eno2:gal4ff); Tg(UAS:COX4-COX8-dL5**-mCer3) ‘NeuMitoFAP’ zebrafish results in expression of the dL5**-mCerulean3 fusion protein in the mitochondrial matrix. (C) Merged phase contrast and mCerulean3 epifluorescence images, showing live Tg(UAS:COX4-COX8-dL5**-mCer3) (above) and Tg(eno2:gal4ff); Tg(UAS:COX4-COX8-dL5**-mCer3) (NeuMitoFAP; below) zebrafish larvae at 5 days post-fertilization. mCerulean3-expressing structures are labeled (Tel, telencephalon; MB, midbrain; HB, hindbrain; SC, spinal cord; R, retina, ENS enteric nervous system). (D) Confocal z-plane projection showing mCerulean3 expression in the posterior lateral line ganglion (PLLG) and lateral line nerve (LLN) of a NeuMitoFAP zebrafish. Individual axonal mitochondria are indicated (arrows). (E) Brain sections from NeuMitoFAP zebrafish were labeled for nuclei (DAPI; magenta), dL5**-mCerulean3 (cyan) and mitochondria (TOM20; yellow). Single confocal planes of the individual channels are shown in the upper row. The lower row shows: the three channels overlaid; the output of a Boolean (mCerulean3 AND TOM20) map; and representative regions of interest that were analyzed in panels F and G. (F) Scatter plot of TOM20 signal (y-axis) versus mCerulean3 signal (x-axis) in each pixel within regions of interest. (G) Pearson correlation coefficient of signal intensity for mCerulean3 versus TOM20 (left) compared with mCerulean3 versus DAPI (right). Each data point shows a region of interest corresponding to an individual mCerulean3-expressing cell, bars show mean ± SE; ****p<0.0001, 2-tailed t-test. (H) Normalized excitation and emission spectra of the fluorophores and light sources used in this study.

(A) A LED light source (100W, 660 nm; Chanzon, Amazon.com) was mounted on a CPU heatsink and fan for cooling. The LED/fan assembly was suspended beneath an optical glass window on a custom stand, so that samples placed on the glass could be exposed to high-intensity light without significant heating through conduction or convection from the LED array. Clips on the platform support a shade that covers specimens during light exposure for operator comfort. (B) The LED was controlled using an Arduino Uno ATmega328P microcontroller board. The digital output signal from the board switches the gate voltage of a MOSFET that controls the LED power circuit. This allows: (i) precise automated exposure timing, to control the amount of light energy delivered; and (ii) LED dimming, using pulse width modulation, to control the power at which light energy is delivered. The control box also contains a voltage step-down to allow the LED (20V) and the fan (12V) to be operated from the same 20V power source, and two buttons providing digital logic inputs to the board that are used to trigger functions in the software. (C) The microcontroller board was programmed using the Arduino integrated development environment. The control box was connected to a PC via a USB connection and the Arduino serial monitor was employed as an interactive interface for light calibration, and control of exposure time and power.

The dL5**-MG2I excitation spectrum (Figure 1H) was multiplied by emission spectra from the green and red LEDs (Figure 1H) to generate energy transfer spectra. Quantitative properties of the energy transfer spectra are shown in Table 2. In the context of the low power emitted from the green lights used for handling the NeuMitoFAP zebrafish and eliciting neurobehavioral responses, the small amount of overlap between the green light emission spectrum and the dL5**-MG2I excitation spectrum caused negligible energy transfer during the time course of the experiments.

(A) A waterproof resin-coated negative temperature coefficient thermistor was used to provide continuous monitoring of bath temperature. The resistance of the thermistor was determined in a voltage divider circuit as shown. The potential difference across the thermistor was measured through the analog input to an ATmega328P microcontroller board. The temperature was determined by first calculating the thermistor resistance as , where A is the 10-bit digital value converted from the input voltage at the analog input pin. The temperature was then calculated as , where R = 10kΩ at T = 25°C, and B = 3950, the coefficient of the thermistor. Since the thermistor was coated in black resin, it was wrapped in reflective aluminum foil to prevent direct warming by radiation from the LED source, thereby allowing specific and sensitive measurement of bath water temperature during light exposure. The thermistor circuit in this configuration provided accurate water temperature measurements within ± 0.5°C compared with a digital thermometer. (B) Continuous monitoring of bath temperature over 60 min is shown at a sampling rate of 1 Hz. The room temperature was 20°C and the starting bath temperature was 21°C. Regardless of whether the LED light source was on at full power (160 mW/cm2; solid red line) throughout the measurement period, or off (solid blue line), the bath temperature did not change significantly over 60 min. Controls with no light and starting water temperatures of 80°C (dotted orange line) and 4°C (dotted green line) showed that the foil-wrapped thermistor detected bath temperature changes rapidly and accurately. Together these data show that heat transfer from the LED light source was not sufficient to cause water temperature changes during zebrafish light exposure.

Generation of NeuMitoFAP zebrafish.

(A) When the fluorogen MG2I (chemical structure shown on left) is bound to the fluorogen-activating protein (FAP) dL5** (right), excitation by far-red light causes generation of singlet oxygen. (B) Diagrams of transgene constructs eno2:gal4FF (above) and UAS:COX4-COX8-dL5**-mCer3 (below). Transactivation of the UAS enhancer by Gal4 in the neurons of double transgenic Tg(eno2:gal4ff); Tg(UAS:COX4-COX8-dL5**-mCer3) ‘NeuMitoFAP’ zebrafish results in expression of the dL5**-mCerulean3 fusion protein in the mitochondrial matrix. (C) Merged phase contrast and mCerulean3 epifluorescence images, showing live Tg(UAS:COX4-COX8-dL5**-mCer3) (above) and Tg(eno2:gal4ff); Tg(UAS:COX4-COX8-dL5**-mCer3) (NeuMitoFAP; below) zebrafish larvae at 5 days post-fertilization. mCerulean3-expressing structures are labeled (Tel, telencephalon; MB, midbrain; HB, hindbrain; SC, spinal cord; R, retina, ENS enteric nervous system). (D) Confocal z-plane projection showing mCerulean3 expression in the posterior lateral line ganglion (PLLG) and lateral line nerve (LLN) of a NeuMitoFAP zebrafish. Individual axonal mitochondria are indicated (arrows). (E) Brain sections from NeuMitoFAP zebrafish were labeled for nuclei (DAPI; magenta), dL5**-mCerulean3 (cyan) and mitochondria (TOM20; yellow). Single confocal planes of the individual channels are shown in the upper row. The lower row shows: the three channels overlaid; the output of a Boolean (mCerulean3 AND TOM20) map; and representative regions of interest that were analyzed in panels F and G. (F) Scatter plot of TOM20 signal (y-axis) versus mCerulean3 signal (x-axis) in each pixel within regions of interest. (G) Pearson correlation coefficient of signal intensity for mCerulean3 versus TOM20 (left) compared with mCerulean3 versus DAPI (right). Each data point shows a region of interest corresponding to an individual mCerulean3-expressing cell, bars show mean ± SE; ****p<0.0001, 2-tailed t-test. (H) Normalized excitation and emission spectra of the fluorophores and light sources used in this study.

High-power LED light source to deliver far-red light to larval zebrafish.

(A) A LED light source (100W, 660 nm; Chanzon, Amazon.com) was mounted on a CPU heatsink and fan for cooling. The LED/fan assembly was suspended beneath an optical glass window on a custom stand, so that samples placed on the glass could be exposed to high-intensity light without significant heating through conduction or convection from the LED array. Clips on the platform support a shade that covers specimens during light exposure for operator comfort. (B) The LED was controlled using an Arduino Uno ATmega328P microcontroller board. The digital output signal from the board switches the gate voltage of a MOSFET that controls the LED power circuit. This allows: (i) precise automated exposure timing, to control the amount of light energy delivered; and (ii) LED dimming, using pulse width modulation, to control the power at which light energy is delivered. The control box also contains a voltage step-down to allow the LED (20V) and the fan (12V) to be operated from the same 20V power source, and two buttons providing digital logic inputs to the board that are used to trigger functions in the software. (C) The microcontroller board was programmed using the Arduino integrated development environment. The control box was connected to a PC via a USB connection and the Arduino serial monitor was employed as an interactive interface for light calibration, and control of exposure time and power.

Energy transfer spectra between LED sources and dL5**-MG2I.

The dL5**-MG2I excitation spectrum (Figure 1H) was multiplied by emission spectra from the green and red LEDs (Figure 1H) to generate energy transfer spectra. Quantitative properties of the energy transfer spectra are shown in Table 2. In the context of the low power emitted from the green lights used for handling the NeuMitoFAP zebrafish and eliciting neurobehavioral responses, the small amount of overlap between the green light emission spectrum and the dL5**-MG2I excitation spectrum caused negligible energy transfer during the time course of the experiments.
Table 2.

Peak wavelength, peak height and area under the curve are shown for normalized energy transfer spectra between the 661 nm LED and the dL5**-MG2I complex (‘Red x dL5**-MG2I’) and between the 516 nm LED and the dL5**-MG2I complex (‘Green x dL5**-MG2I’; see Figure 1—figure supplement 2).

Red x dL5**-MG2IGreen x dL5**-MG2I
Peak λ (nm)661524
Height0.980.013
Area19.101.15

LED light source did not cause appreciable heating of water bath.

(A) A waterproof resin-coated negative temperature coefficient thermistor was used to provide continuous monitoring of bath temperature. The resistance of the thermistor was determined in a voltage divider circuit as shown. The potential difference across the thermistor was measured through the analog input to an ATmega328P microcontroller board. The temperature was determined by first calculating the thermistor resistance as , where A is the 10-bit digital value converted from the input voltage at the analog input pin. The temperature was then calculated as , where R = 10kΩ at T = 25°C, and B = 3950, the coefficient of the thermistor. Since the thermistor was coated in black resin, it was wrapped in reflective aluminum foil to prevent direct warming by radiation from the LED source, thereby allowing specific and sensitive measurement of bath water temperature during light exposure. The thermistor circuit in this configuration provided accurate water temperature measurements within ± 0.5°C compared with a digital thermometer. (B) Continuous monitoring of bath temperature over 60 min is shown at a sampling rate of 1 Hz. The room temperature was 20°C and the starting bath temperature was 21°C. Regardless of whether the LED light source was on at full power (160 mW/cm2; solid red line) throughout the measurement period, or off (solid blue line), the bath temperature did not change significantly over 60 min. Controls with no light and starting water temperatures of 80°C (dotted orange line) and 4°C (dotted green line) showed that the foil-wrapped thermistor detected bath temperature changes rapidly and accurately. Together these data show that heat transfer from the LED light source was not sufficient to cause water temperature changes during zebrafish light exposure. The excitation spectrum of the FAP-MG2I complex (He et al., 2016) is shown in Figure 1H, and summarized in Table 1, in comparison with emission spectra of the light sources employed in this study. A light stand was constructed (Figure 1—figure supplement 1) to expose zebrafish larvae to far-red light (λ = 661 ± 9 nm, peak ±half width at half height; Table 1) near the major FAP-MG2I excitation peak (λ = 666 ± 30 nm; Figure 1—figure supplement 2; Table 2), with adjustable power up to ≈160 mW/cm2, and without transferring heat to the water bath (Figure 1—figure supplement 3). Green LED safe lights (λ = 516 ± 18 nm) allowed MG2I-exposed NeuMitoFAP zebrafish to be handled, and behavioral responses provoked (Burton et al., 2017), without activating 1O2 production from the FAP-MG2I complex (Figure 1H; Figure 1—figure supplement 2; Tables 1 and 2). Infrared light sources that did not activate FAP-MG2I provided illumination for videography, while quantifying zebrafish motor function (Zhou et al., 2014) (λ = 877 ± 25 nm) and during electrophysiological recordings (λ = 775 ± 32 nm).
Table 1.

Peak wavelength, centroid and full width at half height (FWHH) are shown for the red, green, and infrared LED sources used in the study, in comparison with the major and minor excitation peaks of the dL5**-MG2I complex (see Figure 1H).

RedGreenIRdL5**-MG2I (minor)dL5**-MG2I (major)
Peak λ (nm)661516877456666
Centroid λ (nm)656520880452649
FWHH (nm)1836515561
Figure 1—figure supplement 1.

High-power LED light source to deliver far-red light to larval zebrafish.

(A) A LED light source (100W, 660 nm; Chanzon, Amazon.com) was mounted on a CPU heatsink and fan for cooling. The LED/fan assembly was suspended beneath an optical glass window on a custom stand, so that samples placed on the glass could be exposed to high-intensity light without significant heating through conduction or convection from the LED array. Clips on the platform support a shade that covers specimens during light exposure for operator comfort. (B) The LED was controlled using an Arduino Uno ATmega328P microcontroller board. The digital output signal from the board switches the gate voltage of a MOSFET that controls the LED power circuit. This allows: (i) precise automated exposure timing, to control the amount of light energy delivered; and (ii) LED dimming, using pulse width modulation, to control the power at which light energy is delivered. The control box also contains a voltage step-down to allow the LED (20V) and the fan (12V) to be operated from the same 20V power source, and two buttons providing digital logic inputs to the board that are used to trigger functions in the software. (C) The microcontroller board was programmed using the Arduino integrated development environment. The control box was connected to a PC via a USB connection and the Arduino serial monitor was employed as an interactive interface for light calibration, and control of exposure time and power.

Figure 1—figure supplement 2.

Energy transfer spectra between LED sources and dL5**-MG2I.

The dL5**-MG2I excitation spectrum (Figure 1H) was multiplied by emission spectra from the green and red LEDs (Figure 1H) to generate energy transfer spectra. Quantitative properties of the energy transfer spectra are shown in Table 2. In the context of the low power emitted from the green lights used for handling the NeuMitoFAP zebrafish and eliciting neurobehavioral responses, the small amount of overlap between the green light emission spectrum and the dL5**-MG2I excitation spectrum caused negligible energy transfer during the time course of the experiments.

Figure 1—figure supplement 3.

LED light source did not cause appreciable heating of water bath.

(A) A waterproof resin-coated negative temperature coefficient thermistor was used to provide continuous monitoring of bath temperature. The resistance of the thermistor was determined in a voltage divider circuit as shown. The potential difference across the thermistor was measured through the analog input to an ATmega328P microcontroller board. The temperature was determined by first calculating the thermistor resistance as , where A is the 10-bit digital value converted from the input voltage at the analog input pin. The temperature was then calculated as , where R = 10kΩ at T = 25°C, and B = 3950, the coefficient of the thermistor. Since the thermistor was coated in black resin, it was wrapped in reflective aluminum foil to prevent direct warming by radiation from the LED source, thereby allowing specific and sensitive measurement of bath water temperature during light exposure. The thermistor circuit in this configuration provided accurate water temperature measurements within ± 0.5°C compared with a digital thermometer. (B) Continuous monitoring of bath temperature over 60 min is shown at a sampling rate of 1 Hz. The room temperature was 20°C and the starting bath temperature was 21°C. Regardless of whether the LED light source was on at full power (160 mW/cm2; solid red line) throughout the measurement period, or off (solid blue line), the bath temperature did not change significantly over 60 min. Controls with no light and starting water temperatures of 80°C (dotted orange line) and 4°C (dotted green line) showed that the foil-wrapped thermistor detected bath temperature changes rapidly and accurately. Together these data show that heat transfer from the LED light source was not sufficient to cause water temperature changes during zebrafish light exposure.

Acute neurological deficits in NeuMitoFAP zebrafish exposed to MG2I and far-red light

By 5 days post-fertilization (dpf), zebrafish larvae show spontaneous locomotor activity and evoked behavioral responses that are easily quantified by video tracking in 96-well plates (Figure 2; Zhou et al., 2014). We previously demonstrated that the visual motor response (VMR), a series of stereotyped changes in motor activity provoked by abrupt alterations in ambient illumination (Burgess and Granato, 2007), can be elicited by green light at a wavelength that does not excite FAP-MG2I (Burton et al., 2017). Four experimental groups (WT, WT-MG2I, NeuMitoFAP, NeuMitoFAP-MG2I) were generated by growing non-transgenic and NeuMitoFAP zebrafish in embryo water containing MG2I or no additive under green light illumination from 3 dpf (Figure 2). Zebrafish from all four experimental groups showed normal motor activity (Figure 2B) and morphology (Figure 2—figure supplement 1) at 5dpf. Robust responses to abrupt green light – dark transitions were apparent in all four experimental groups (Figure 2B, left panel; Figure 2C, upper graphs) prior to far-red light exposure. However, motor responses were eliminated acutely in NeuMitoFAP-MG2I zebrafish, but not controls, following exposure to 60 J/cm2 far-red light (mean ± SE swimming speed in dark phase of VMR, pre- versus post-exposure: WT, 1.80 ± 0.10 vs. 1.70 ± 0.08 mm/s; WT-MG2I, 1.69 ± 0.09 vs. 1.60 ± 0.10 mm/s; NeuMitoFAP, 2.02 ± 0.10 vs. 2.13 ± 0.08 mm/s; NeuMitoFAP-MG2I 2.36 ± 0.09 vs. 0.08 ± 0.02 mm/s, p<10−15, 2-way ANOVA with Šidák multiple comparisons test; Figure 2B-D; Video 1). Loss of motor function in NeuMitoFAP-MG2I zebrafish was dependent on the amount of light energy delivered (Figure 2—figure supplement 1), but independent of the rate of delivery between 16–160 mW/cm2 at a fixed total exposure of 60 J/cm2 (Figure 2—figure supplement 2). Motor function during FAP-MG2I activation was examined by using far-red light to both elicit the VMR and excite FAP-MG2I simultaneously (Figure 2—figure supplement 3). In NeuMitoFAP-MG2I zebrafish, far-red light initially caused transient hyperkinesia, which was followed by progressive loss of motor function with cumulative light exposure; these abnormalities were not observed in controls. Although NeuMitoFAP-MG2I zebrafish exposed to far-red light lost spontaneous and evoked motor function, their heart rate and circulation were preserved (Figure 2E; Video 2) and there were no gross morphological changes (Figure 2—figure supplement 4), showing that the larvae remained alive and that abnormalities were restricted to the nervous system. Together, these data show a dramatic neurological phenotype that was dependent on all three components of the chemoptogenetic system (far-red light exposure in the presence of both dL5** and MG2I), and therefore attributable to 1O2 formation at the site of dL5** expression in neuronal mitochondria. Furthermore, the severity of the abnormalities was determined by the amount of far-red light energy delivered.
Figure 2.

Acute loss of neurological function in NeuMitoFAP zebrafish exposed to MG2I and far-red light.

(A) Design of experiments shown in panels (B - D). Experimental groups: WT zebrafish (black); WT zebrafish exposed to MG2I (green); NeuMitoFAP zebrafish (blue); NeuMitoFAP zebrafish exposed to MG2I (red). (B) 1 min swimming vectors of zebrafish in a 96-well plate, before (left) and after (right) exposure to 60 J/cm2 far-red light (160 mW, λpeak=661nm). Each group includes 24 zebrafish, occupying two rows of the 96-well plate as indicated. (C) The visual motor response (VMR) was elicited by alternating 10 min periods of green light illumination (250 Lux, λpeak=516 nm; does not activate dL5**-MG2I) and darkness (0 Lux). The graphs show mean instantaneous group swimming speed (y-axis) against time (x-axis). Responses were averaged over three cycles of dark/light stimuli (solid colored lines; illumination cycle shown above each graph); responses of individual zebrafish were further averaged into 1 min time bins (white markers, error bars show ±95% CI). Responses of the same zebrafish are shown before (top row) and after (bottom row) exposure to 60 J/cm2 far-red light. n = 24 zebrafish/group. (D) Mean swimming speed during the dark phase of the VMR (y-axis) was quantified before and after exposure to 60 J/cm2 far-red light. Data points show responses of individual zebrafish (n = 96/group from four combined replicate experiments, bars show mean ± 95% CI). ****p<10−15, pre- versus post-light exposure swimming speed, 2-way ANOVA with Šidák multiple comparisons test. (E) Heart rate (y-axis) was quantified before and after exposure to 60 J/cm2 far-red light (data points show individual zebrafish, bars show mean ± 95% CI).

Transmitted light micrographs of NeuMitoFAP zebrafish: tThe right column shows larvae that were exposed to MG2I from 3 dpf; the left column shows untreated zebrafish. The first row shows larvae at 5dpf prior to light exposure. The second row shows larvae at 5dpf immediately after exposure to 60 J/cm2 light at λpeak=661nm. The subsequent rows show larvae at daily intervals (6–9 dpf) following light exposure at 5dpf. Although the MG2I-treated, light-exposed larvae showed loss of motor responses that did not recover during the time course of the experiment (see text), there were no major morphological abnormalities at any time point.

(A) Visual motor responses were evaluated in Tg(eno2:gal4FF); Tg(UAS:COX4-COX8-dL5-mCer3) (‘NeuMitoFAP’) zebrafish treated with MG2I. Motor response to cycles of green light (200 Lux; 10 min) and abrupt darkness (10 min) were measured in 96-well plates, using an infrared machine vision/automated tracking system (Zhou et al., 2014; Cario et al., 2011). In each graph, the y-axis shows swimming speed (mm/s) and the x-axis time (minutes). The light-colored trace shows the mean instantaneous swimming speed for 12 zebrafish at each frame transition (4 Hz), averaged over 3 cycles of light-dark responses; data for each minute of the response were binned and averaged, allowing calculation of the mean ± SE (round markers and error bars) swimming speed for the 12 zebrafish during each minute of the stimulus cycle. The timing of the light and dark segments of the stimulus cycle are shown above the graphs. Each group of 12 zebrafish was analyzed both before (upper row of graphs) and after (lower row) exposure to far-red light at the incremental total energy doses shown. Each pair of graphs shows analysis of the same animals under basal and post-exposure conditions. (B) Mean swimming speed during the dark phase of the visual motor response was calculated. The scatter plot shows values for individual zebrafish (gray data points) with group mean ± SE superimposed (red bars). Basal dark swimming speed did not differ between the groups, which are combined here for clarity. Swimming speed post-exposure was progressively reduced in the 30, 60 and 120 J/cm2 groups (****p<0.00001, compared with baseline, 1-way ANOVA, with Dunnett’s post hoc test; comparison of pre- and post-exposure data for each group yielded identical results). Together, these data show that the severity of the motility phenotype during the dark phase of the visual motor response in NeuMitoFAP zebrafish treated with MG2I is determined by the amount of light energy delivered.

(A) Visual motor responses were evaluated in NeuMitoFAP (red) and non-transgenic (green) zebrafish treated with MG2I, identically to Figure 2—figure supplement 1. Each group of 12 zebrafish was analyzed both before (upper row of graphs) and after (lower row) exposure to red light at the same total energy dose of 60 J/cm2, delivered at incremental power densities between 16 mW/cm2 and 160 mW/cm2 as shown. Each pair of graphs shows analysis of the same animals under basal and post-exposure conditions. (B, C) Mean swimming speed during the dark phase of the visual motor response was calculated. The scatter plot shows values for individual zebrafish (gray data points) with group mean ± 95% CI superimposed (red bars). Basal dark swimming speed was identical in all groups, which have been combined for clarity. (B) Motility was almost completely abolished in NeuMitoFAP zebrafish exposed to MG2I after 60 J/cm2 red light exposure, regardless of exposure power. (C) In contrast, swimming was unaffected at any exposure power in non-transgenic animals exposed to MG2I. (****p<0.00001, compared with baseline, 1-way ANOVA, with Dunnett’s post hoc test; comparing pre- and post-exposure data for each group yielded identical results). (D) The graphs show the linear relationship between the light power output and the full range of the pulse width modulation output from the digital output pin of the controller board, allowing the use of PWM to control power for this experiment. Together, these data show that the severity of the neurological phenotype in NeuMitoFAP zebrafish treated with MG2I and exposed to 60 J/cm2 light is not dependent on the rate at which light energy is delivered.

24 zebrafish from each experimental group (non-transgenic and NeuMitoFAP zebrafish, not exposed to chemical or treated with MG2I; same color key as Figure 2B) were placed in a 96 well plate at 5dpf. Motor function was measured by infrared videography and automated tracking during 5 hr of repeated cycles of 10 min ambient illumination and 2 min darkness (gray bands) to elicit the visual motor response (VMR). The first three cycles used green light illumination @516 nm to elicit the VMR without exciting production of 1O2. The remaining 20 cycles were illuminated with far-red light at λpeak=661nm (≈5 mW/cm2) to both (i) elicit the VMR and (ii) excite production of 1O2 in neuronal mitochondria simultaneously. At the conclusion of the experiment zebrafish had been exposed to a cumulative dose of approximately 60 J/cm2 far-red light (top panel; 5 mW/cm2 × 600 s/cycle = 3 J/cm2/cycle). The movement traces show the instantaneous mean swimming speed for each group of 24 zebrafish (gray); mean ± SE for 1 min time bins are superimposed in color. (A) At the start of the experiment, all four groups showed normal motor function. (B) The first cycle of far-red light also elicited a normal VMR in all four groups. (C) By the third cycle of far-red light, NeuMitoFAP-MG2I zebrafish, but not controls, became hypkinetic during light and showed an attenuated response to the light-dark transition. (D) During later cycles of far-red light, NeuMitoFAP-MG2I zebrafish, but not controls, became progressively hypkinetic. (E) After a cumulative far-red light dose approximating that shown in Figure 2, NeuMitoFAP-MG2I zebrafish, but not controls, showed severely diminished swimming speed in the dark. These data show that motor function in NeuMitoFAP-MG2I zebrafish worsened progressively with cumulative far-red light exposure, and that a transient phase of hyperkinesia preceded the loss of motility.

Figure 2—figure supplement 1.

Normal morphology of NeuMitoFAP zebrafish exposed to MG2I and light.

Transmitted light micrographs of NeuMitoFAP zebrafish: tThe right column shows larvae that were exposed to MG2I from 3 dpf; the left column shows untreated zebrafish. The first row shows larvae at 5dpf prior to light exposure. The second row shows larvae at 5dpf immediately after exposure to 60 J/cm2 light at λpeak=661nm. The subsequent rows show larvae at daily intervals (6–9 dpf) following light exposure at 5dpf. Although the MG2I-treated, light-exposed larvae showed loss of motor responses that did not recover during the time course of the experiment (see text), there were no major morphological abnormalities at any time point.

Video 1.

Loss of motor function in NeuMitoFAP-MG2I zebrafish following far-red light exposure.

5dpf zebrafish swimming in the wells of an agarose-filled plate were illuminated from above by an infrared light, and video was recorded from below at 30 frame/s, during the dark phase of the visual motor response (VMR). Each well contains 5 zebrafish from the experimental groups indicated: top left – NeuMitoFAP zebrafish exposed to MG2I and 60 J/cm2 far-red light; top right – NeuMitoFAP zebrafish exposed to 60 J/cm2 far-red light in the absence of MG2I; bottom left – NeuMitoFAP zebrafish treated with MG2I but not exposed to far-red light; bottom right – WT zebrafish exposed to MG2I and 60 J/cm2 far-red light. Dramatic abnormalities of motor function are clearly visible in the NeuMitoFAP-MG2I-light group, but not in any of the controls.

Figure 2—figure supplement 2.

The motor phenotype of NeuMitoFAP-MG2I zebrafish is dependent on far-red light exposure energy.

(A) Visual motor responses were evaluated in Tg(eno2:gal4FF); Tg(UAS:COX4-COX8-dL5-mCer3) (‘NeuMitoFAP’) zebrafish treated with MG2I. Motor response to cycles of green light (200 Lux; 10 min) and abrupt darkness (10 min) were measured in 96-well plates, using an infrared machine vision/automated tracking system (Zhou et al., 2014; Cario et al., 2011). In each graph, the y-axis shows swimming speed (mm/s) and the x-axis time (minutes). The light-colored trace shows the mean instantaneous swimming speed for 12 zebrafish at each frame transition (4 Hz), averaged over 3 cycles of light-dark responses; data for each minute of the response were binned and averaged, allowing calculation of the mean ± SE (round markers and error bars) swimming speed for the 12 zebrafish during each minute of the stimulus cycle. The timing of the light and dark segments of the stimulus cycle are shown above the graphs. Each group of 12 zebrafish was analyzed both before (upper row of graphs) and after (lower row) exposure to far-red light at the incremental total energy doses shown. Each pair of graphs shows analysis of the same animals under basal and post-exposure conditions. (B) Mean swimming speed during the dark phase of the visual motor response was calculated. The scatter plot shows values for individual zebrafish (gray data points) with group mean ± SE superimposed (red bars). Basal dark swimming speed did not differ between the groups, which are combined here for clarity. Swimming speed post-exposure was progressively reduced in the 30, 60 and 120 J/cm2 groups (****p<0.00001, compared with baseline, 1-way ANOVA, with Dunnett’s post hoc test; comparison of pre- and post-exposure data for each group yielded identical results). Together, these data show that the severity of the motility phenotype during the dark phase of the visual motor response in NeuMitoFAP zebrafish treated with MG2I is determined by the amount of light energy delivered.

Figure 2—figure supplement 3.

The motor phenotype of NeuMitoFAP-MG2I zebrafish exposed to 60 J/cm2 far-red light is not dependent on light power.

(A) Visual motor responses were evaluated in NeuMitoFAP (red) and non-transgenic (green) zebrafish treated with MG2I, identically to Figure 2—figure supplement 1. Each group of 12 zebrafish was analyzed both before (upper row of graphs) and after (lower row) exposure to red light at the same total energy dose of 60 J/cm2, delivered at incremental power densities between 16 mW/cm2 and 160 mW/cm2 as shown. Each pair of graphs shows analysis of the same animals under basal and post-exposure conditions. (B, C) Mean swimming speed during the dark phase of the visual motor response was calculated. The scatter plot shows values for individual zebrafish (gray data points) with group mean ± 95% CI superimposed (red bars). Basal dark swimming speed was identical in all groups, which have been combined for clarity. (B) Motility was almost completely abolished in NeuMitoFAP zebrafish exposed to MG2I after 60 J/cm2 red light exposure, regardless of exposure power. (C) In contrast, swimming was unaffected at any exposure power in non-transgenic animals exposed to MG2I. (****p<0.00001, compared with baseline, 1-way ANOVA, with Dunnett’s post hoc test; comparing pre- and post-exposure data for each group yielded identical results). (D) The graphs show the linear relationship between the light power output and the full range of the pulse width modulation output from the digital output pin of the controller board, allowing the use of PWM to control power for this experiment. Together, these data show that the severity of the neurological phenotype in NeuMitoFAP zebrafish treated with MG2I and exposed to 60 J/cm2 light is not dependent on the rate at which light energy is delivered.

Video 2.

Normal circulation and heartbeat in NeuMitoFAP-MG2I zebrafish following far-red light exposure.

(i) Phase contrast videomicrography of 5dpf zebrafish from the same experimental groups as Video 1, illustrating identical circulation of blood cells in the vascular system from all experimental groups (zebrafish oriented rostral towards left); (ii) high-power videomicrography from a zebrafish in the NeuMitoFAP-MG2I-light group that showed profound loss of neurological function. Anatomical landmarks are labeled for orientation (rostral left). (iii) The heart is shown from zebrafish in all four experimental groups, illustrating normal contraction and heart rate. These data show that abnormalities in NeuMitoFAP zebrafish exposed to MG2I and far-red light are confined to the nervous system and that the zebrafish remain alive and viable despite profound neurological disruption.

Figure 2—figure supplement 4.

Real-time changes in motor function of NeuMitoFAP-MG2I zebrafish during far-red light exposure.

24 zebrafish from each experimental group (non-transgenic and NeuMitoFAP zebrafish, not exposed to chemical or treated with MG2I; same color key as Figure 2B) were placed in a 96 well plate at 5dpf. Motor function was measured by infrared videography and automated tracking during 5 hr of repeated cycles of 10 min ambient illumination and 2 min darkness (gray bands) to elicit the visual motor response (VMR). The first three cycles used green light illumination @516 nm to elicit the VMR without exciting production of 1O2. The remaining 20 cycles were illuminated with far-red light at λpeak=661nm (≈5 mW/cm2) to both (i) elicit the VMR and (ii) excite production of 1O2 in neuronal mitochondria simultaneously. At the conclusion of the experiment zebrafish had been exposed to a cumulative dose of approximately 60 J/cm2 far-red light (top panel; 5 mW/cm2 × 600 s/cycle = 3 J/cm2/cycle). The movement traces show the instantaneous mean swimming speed for each group of 24 zebrafish (gray); mean ± SE for 1 min time bins are superimposed in color. (A) At the start of the experiment, all four groups showed normal motor function. (B) The first cycle of far-red light also elicited a normal VMR in all four groups. (C) By the third cycle of far-red light, NeuMitoFAP-MG2I zebrafish, but not controls, became hypkinetic during light and showed an attenuated response to the light-dark transition. (D) During later cycles of far-red light, NeuMitoFAP-MG2I zebrafish, but not controls, became progressively hypkinetic. (E) After a cumulative far-red light dose approximating that shown in Figure 2, NeuMitoFAP-MG2I zebrafish, but not controls, showed severely diminished swimming speed in the dark. These data show that motor function in NeuMitoFAP-MG2I zebrafish worsened progressively with cumulative far-red light exposure, and that a transient phase of hyperkinesia preceded the loss of motility.

Acute loss of neurological function in NeuMitoFAP zebrafish exposed to MG2I and far-red light.

(A) Design of experiments shown in panels (B - D). Experimental groups: WT zebrafish (black); WT zebrafish exposed to MG2I (green); NeuMitoFAP zebrafish (blue); NeuMitoFAP zebrafish exposed to MG2I (red). (B) 1 min swimming vectors of zebrafish in a 96-well plate, before (left) and after (right) exposure to 60 J/cm2 far-red light (160 mW, λpeak=661nm). Each group includes 24 zebrafish, occupying two rows of the 96-well plate as indicated. (C) The visual motor response (VMR) was elicited by alternating 10 min periods of green light illumination (250 Lux, λpeak=516 nm; does not activate dL5**-MG2I) and darkness (0 Lux). The graphs show mean instantaneous group swimming speed (y-axis) against time (x-axis). Responses were averaged over three cycles of dark/light stimuli (solid colored lines; illumination cycle shown above each graph); responses of individual zebrafish were further averaged into 1 min time bins (white markers, error bars show ±95% CI). Responses of the same zebrafish are shown before (top row) and after (bottom row) exposure to 60 J/cm2 far-red light. n = 24 zebrafish/group. (D) Mean swimming speed during the dark phase of the VMR (y-axis) was quantified before and after exposure to 60 J/cm2 far-red light. Data points show responses of individual zebrafish (n = 96/group from four combined replicate experiments, bars show mean ± 95% CI). ****p<10−15, pre- versus post-light exposure swimming speed, 2-way ANOVA with Šidák multiple comparisons test. (E) Heart rate (y-axis) was quantified before and after exposure to 60 J/cm2 far-red light (data points show individual zebrafish, bars show mean ± 95% CI).

Normal morphology of NeuMitoFAP zebrafish exposed to MG2I and light.

Transmitted light micrographs of NeuMitoFAP zebrafish: tThe right column shows larvae that were exposed to MG2I from 3 dpf; the left column shows untreated zebrafish. The first row shows larvae at 5dpf prior to light exposure. The second row shows larvae at 5dpf immediately after exposure to 60 J/cm2 light at λpeak=661nm. The subsequent rows show larvae at daily intervals (6–9 dpf) following light exposure at 5dpf. Although the MG2I-treated, light-exposed larvae showed loss of motor responses that did not recover during the time course of the experiment (see text), there were no major morphological abnormalities at any time point.

The motor phenotype of NeuMitoFAP-MG2I zebrafish is dependent on far-red light exposure energy.

(A) Visual motor responses were evaluated in Tg(eno2:gal4FF); Tg(UAS:COX4-COX8-dL5-mCer3) (‘NeuMitoFAP’) zebrafish treated with MG2I. Motor response to cycles of green light (200 Lux; 10 min) and abrupt darkness (10 min) were measured in 96-well plates, using an infrared machine vision/automated tracking system (Zhou et al., 2014; Cario et al., 2011). In each graph, the y-axis shows swimming speed (mm/s) and the x-axis time (minutes). The light-colored trace shows the mean instantaneous swimming speed for 12 zebrafish at each frame transition (4 Hz), averaged over 3 cycles of light-dark responses; data for each minute of the response were binned and averaged, allowing calculation of the mean ± SE (round markers and error bars) swimming speed for the 12 zebrafish during each minute of the stimulus cycle. The timing of the light and dark segments of the stimulus cycle are shown above the graphs. Each group of 12 zebrafish was analyzed both before (upper row of graphs) and after (lower row) exposure to far-red light at the incremental total energy doses shown. Each pair of graphs shows analysis of the same animals under basal and post-exposure conditions. (B) Mean swimming speed during the dark phase of the visual motor response was calculated. The scatter plot shows values for individual zebrafish (gray data points) with group mean ± SE superimposed (red bars). Basal dark swimming speed did not differ between the groups, which are combined here for clarity. Swimming speed post-exposure was progressively reduced in the 30, 60 and 120 J/cm2 groups (****p<0.00001, compared with baseline, 1-way ANOVA, with Dunnett’s post hoc test; comparison of pre- and post-exposure data for each group yielded identical results). Together, these data show that the severity of the motility phenotype during the dark phase of the visual motor response in NeuMitoFAP zebrafish treated with MG2I is determined by the amount of light energy delivered.

The motor phenotype of NeuMitoFAP-MG2I zebrafish exposed to 60 J/cm2 far-red light is not dependent on light power.

(A) Visual motor responses were evaluated in NeuMitoFAP (red) and non-transgenic (green) zebrafish treated with MG2I, identically to Figure 2—figure supplement 1. Each group of 12 zebrafish was analyzed both before (upper row of graphs) and after (lower row) exposure to red light at the same total energy dose of 60 J/cm2, delivered at incremental power densities between 16 mW/cm2 and 160 mW/cm2 as shown. Each pair of graphs shows analysis of the same animals under basal and post-exposure conditions. (B, C) Mean swimming speed during the dark phase of the visual motor response was calculated. The scatter plot shows values for individual zebrafish (gray data points) with group mean ± 95% CI superimposed (red bars). Basal dark swimming speed was identical in all groups, which have been combined for clarity. (B) Motility was almost completely abolished in NeuMitoFAP zebrafish exposed to MG2I after 60 J/cm2 red light exposure, regardless of exposure power. (C) In contrast, swimming was unaffected at any exposure power in non-transgenic animals exposed to MG2I. (****p<0.00001, compared with baseline, 1-way ANOVA, with Dunnett’s post hoc test; comparing pre- and post-exposure data for each group yielded identical results). (D) The graphs show the linear relationship between the light power output and the full range of the pulse width modulation output from the digital output pin of the controller board, allowing the use of PWM to control power for this experiment. Together, these data show that the severity of the neurological phenotype in NeuMitoFAP zebrafish treated with MG2I and exposed to 60 J/cm2 light is not dependent on the rate at which light energy is delivered.

Real-time changes in motor function of NeuMitoFAP-MG2I zebrafish during far-red light exposure.

24 zebrafish from each experimental group (non-transgenic and NeuMitoFAP zebrafish, not exposed to chemical or treated with MG2I; same color key as Figure 2B) were placed in a 96 well plate at 5dpf. Motor function was measured by infrared videography and automated tracking during 5 hr of repeated cycles of 10 min ambient illumination and 2 min darkness (gray bands) to elicit the visual motor response (VMR). The first three cycles used green light illumination @516 nm to elicit the VMR without exciting production of 1O2. The remaining 20 cycles were illuminated with far-red light at λpeak=661nm (≈5 mW/cm2) to both (i) elicit the VMR and (ii) excite production of 1O2 in neuronal mitochondria simultaneously. At the conclusion of the experiment zebrafish had been exposed to a cumulative dose of approximately 60 J/cm2 far-red light (top panel; 5 mW/cm2 × 600 s/cycle = 3 J/cm2/cycle). The movement traces show the instantaneous mean swimming speed for each group of 24 zebrafish (gray); mean ± SE for 1 min time bins are superimposed in color. (A) At the start of the experiment, all four groups showed normal motor function. (B) The first cycle of far-red light also elicited a normal VMR in all four groups. (C) By the third cycle of far-red light, NeuMitoFAP-MG2I zebrafish, but not controls, became hypkinetic during light and showed an attenuated response to the light-dark transition. (D) During later cycles of far-red light, NeuMitoFAP-MG2I zebrafish, but not controls, became progressively hypkinetic. (E) After a cumulative far-red light dose approximating that shown in Figure 2, NeuMitoFAP-MG2I zebrafish, but not controls, showed severely diminished swimming speed in the dark. These data show that motor function in NeuMitoFAP-MG2I zebrafish worsened progressively with cumulative far-red light exposure, and that a transient phase of hyperkinesia preceded the loss of motility.

Loss of motor function in NeuMitoFAP-MG2I zebrafish following far-red light exposure.

5dpf zebrafish swimming in the wells of an agarose-filled plate were illuminated from above by an infrared light, and video was recorded from below at 30 frame/s, during the dark phase of the visual motor response (VMR). Each well contains 5 zebrafish from the experimental groups indicated: top left – NeuMitoFAP zebrafish exposed to MG2I and 60 J/cm2 far-red light; top right – NeuMitoFAP zebrafish exposed to 60 J/cm2 far-red light in the absence of MG2I; bottom left – NeuMitoFAP zebrafish treated with MG2I but not exposed to far-red light; bottom right – WT zebrafish exposed to MG2I and 60 J/cm2 far-red light. Dramatic abnormalities of motor function are clearly visible in the NeuMitoFAP-MG2I-light group, but not in any of the controls.

Normal circulation and heartbeat in NeuMitoFAP-MG2I zebrafish following far-red light exposure.

(i) Phase contrast videomicrography of 5dpf zebrafish from the same experimental groups as Video 1, illustrating identical circulation of blood cells in the vascular system from all experimental groups (zebrafish oriented rostral towards left); (ii) high-power videomicrography from a zebrafish in the NeuMitoFAP-MG2I-light group that showed profound loss of neurological function. Anatomical landmarks are labeled for orientation (rostral left). (iii) The heart is shown from zebrafish in all four experimental groups, illustrating normal contraction and heart rate. These data show that abnormalities in NeuMitoFAP zebrafish exposed to MG2I and far-red light are confined to the nervous system and that the zebrafish remain alive and viable despite profound neurological disruption.

Acute neuronal depolarization caused by rapid loss of ATP in NeuMitoFAP zebrafish exposed to MG2I and far-red light

Electrophysiological recordings were carried out to elucidate the basis for the abrupt loss of neurological function in NeuMitoFAP-MG2I zebrafish exposed to far-red light (Figure 3; Figure 3—figure supplement 1). Large sensory neurons of the posterior lateral line ganglion express the eno2 driver strongly and are located superficially, allowing continuous whole-cell patch clamp recordings in intact zebrafish larvae during light exposure. In control zebrafish, lateral line sensory neurons showed similar stable baseline membrane potentials that changed minimally during 20–30 min of far-red light exposure (baseline versus final membrane potential: WT-MG2I, −66.9 ± 1.4 vs. −63.2 ± 1.2 mV; NeuMitoFAP, −64.4 ± 1.2 vs. −60.8 ± 2.5 mV; mean ± SE; Figure 3A-C). Sensory neurons in NeuMitoFAP-MG2I larvae showed similar baseline membrane potential to controls but depolarized progressively during exposure to far-red light, initially reaching threshold potential and firing high-frequency trains of action potentials, then depolarizing further to become refractory (baseline versus final membrane potential −60.8 ± 2.4 mV vs. −29.4 ± 4.5 mV, p<0.0001, 2-way ANOVA with Tukey multiple comparison test; Figure 3A-C). To determine whether bioenergetic depletion could account for these findings, identical recordings were obtained from NeuMitoFAP-MG2I neurons, but with the addition of phosphocreatine to the patch pipette solution. Phosphocreatine is a substrate for cytoplasmic creatine kinase, allowing the regeneration of ATP from ADP and thereby providing a non-mitochondrial source of ATP. The baseline resting membrane potential was unaltered by phosphocreatine, but its presence prevented depolarization of NeuMitoFAP-MG2I neurons during far-red light exposure (baseline versus final membrane potential: −62.7 ± 1.4 vs. −59.6 ± 2.8 mV; Figure 3A-C). Overall, 10/10 NeuMitoFAP-MG2I neurons depolarized by ≥20% of their baseline membrane potential following a mean exposure of 44.3 ± 6.3 J/cm2 far-red light, whereas in the presence of phosphocreatine, only 1/6 neurons depolarized after exposure to >80 J/cm2 (p=0.0014, Fisher’s exact test). Transient exposures to smaller amounts of far-red light energy caused slower and more modest levels of depolarization (Figure 3—figure supplement 2). Together, these data show that the acute neurological deficits provoked in NeuMitoFAP-MG2I zebrafish by exposure to far-red light were caused by neuronal depolarization, resulting from depletion of ATP that is necessary to drive the active ionic transporters that maintain transmembrane ionic gradients underlying the resting membrane potential.
Figure 3.

Acute neuronal depolarization in NeuMitoFAP zebrafish exposed to MG2I and far-red light.

(A) Whole-cell patch clamp recordings were made from posterior lateral line ganglion (PLLG) sensory neurons. The inset figure shows the preparation and experimental design (the arrow shows a patch-clamp pipette in contact with a mitoFAP-expressing neuron). Recordings were made for 30–40 min (10 min in darkness and then a further 20–30 min under illumination in far-red light at λpeak=661 nm). The graphs show example traces of membrane potential (y-axis) against time (x-axis), for the full 30 min recording (upper graph) and for three 500 ms sweeps after cumulative far-red light doses of 0, 20 or 40 J/cm2 as indicated. Experimental groups: WT zebrafish exposed to MG2I (green); NeuMitoFAP zebrafish (blue); NeuMitoFAP zebrafish exposed to MG2I (red); NeuMitoFAP zebrafish exposed to MG2I, recordings made with phosphocreatine (pCr) added to pipette solution (black). (B) Mean ± SE membrane potential (y-axis; 5–10 neurons per group) in each 5 min time bin (x-axis) during recording. *p<0.05, ****p<0.0001, NeuMitoFAP-MG2I versus other groups at same time point, 2-way repeated measures ANOVA with Tukey multiple comparisons test. (C) Membrane potential of lateral line ganglion neurons (y-axis) at baseline and final potential after far-red light exposure. Data points show individual neurons, bars show mean ± SE. ****p<0.0001, 1-way ANOVA with Tukey multiple comparison test. (D) Amount of far-red light energy necessary to decrease membrane potential by >20% from baseline value (y-axis). Data points show individual neurons. Neurons that did not depolarize during the recording period are shown above the graph. **p<0.01, Fisher’s exact test.

The graphs show membrane potential values (y-axis) of lateral line ganglion sensory neurons over time (x-axis) in whole cell patch clamp recordings from multiple zebrafish in each experimental group. Continuous recordings were analyzed by calculating the mean membrane potential in 60 s time bins. Exposure to far-red light was started 10 min after the establishment of stable recordings. There was no significant baseline membrane depolarization in any experimental group. During exposure to far-red light, multiple neurons from NeuMitoFAP zebrafish treated with MG2I showed dramatic membrane depolarization at varying time points after the onset of light exposure (bottom left). There was no significant membrane depolarization in either non-transgenic zebrafish treated with MG2I (top left) or in NeuMitoFAP zebrafish in the absence of MG2I (top right). The presence of phosphocreatine in the recording pipette prevented depolarization in NeuMitoFAP zebrafish treated with MG2I, showing that depolarization is caused by ATP depletion. Example recordings at high and low temporal resolution are shown in Figure 4A. A summary of these data with statistical analysis is shown in Figure 4B-D.

Whole-cell patch clamp recordings from lateral line ganglion neurons were made exactly as in Figure 4, with the exception that illumination at λpeak=661nm was stopped after 5 min (black; 13.5 J/cm2) or 2 min (red; 6.4 J/cm2) of exposure (the timings of far-red light exposures are shown as black or red bars in each panel). Recordings were made for 30 min (10 min in darkness, 2 or 5 min under illumination in far-red light as indicated, and the remainder in darkness). (A) The graphs show example traces of membrane potential (y-axis) against time (x-axis), for the full 30 min recording (upper graph) and for three 500 ms sweeps at the time points indicated. The neuron exposed to 13.5 J/cm2 far-red light (black) started to depolarize as illumination was discontinued and replicated the stages of depolarization seen during continuous far-red light exposure in Figure 4 – including firing trains of action potentials at high frequency during depolarization before becoming refractory. The neuron exposed to 6.4 J/cm2 far-red light depolarized later and to a more modest extent. (B) Mean ± SE membrane potential is shown for neurons exposed to 13.4 J/cm2 (black circles, n = 4) or 6.4 J/cm2 (red triangles, n = 6) in 1 min time bins before, during and after light exposure. ***p<0.001, **p<0.01, *p<0.05, 13.5 J/cm2 versus 6.4 J/cm2, 2-way repeated measures ANOVA with Šidák multiple comparisons test. (C) Mean membrane potential in each 1-minute time bin for each individual neuron analyzed in panel B. These data show that the severity and rapidity of neuronal depolarization were dependent on the amount of far-red light energy delivered.

Figure 3—figure supplement 1.

Far-red light-induced depolarization of lateral line ganglion neurons in NeuMitoFAP zebrafish treated with MG2I.

The graphs show membrane potential values (y-axis) of lateral line ganglion sensory neurons over time (x-axis) in whole cell patch clamp recordings from multiple zebrafish in each experimental group. Continuous recordings were analyzed by calculating the mean membrane potential in 60 s time bins. Exposure to far-red light was started 10 min after the establishment of stable recordings. There was no significant baseline membrane depolarization in any experimental group. During exposure to far-red light, multiple neurons from NeuMitoFAP zebrafish treated with MG2I showed dramatic membrane depolarization at varying time points after the onset of light exposure (bottom left). There was no significant membrane depolarization in either non-transgenic zebrafish treated with MG2I (top left) or in NeuMitoFAP zebrafish in the absence of MG2I (top right). The presence of phosphocreatine in the recording pipette prevented depolarization in NeuMitoFAP zebrafish treated with MG2I, showing that depolarization is caused by ATP depletion. Example recordings at high and low temporal resolution are shown in Figure 4A. A summary of these data with statistical analysis is shown in Figure 4B-D.

Figure 3—figure supplement 2.

Severity of lateral line ganglion neuron depolarization in NeuMitoFAP-MG2I zebrafish is dependent on far-red light dose.

Whole-cell patch clamp recordings from lateral line ganglion neurons were made exactly as in Figure 4, with the exception that illumination at λpeak=661nm was stopped after 5 min (black; 13.5 J/cm2) or 2 min (red; 6.4 J/cm2) of exposure (the timings of far-red light exposures are shown as black or red bars in each panel). Recordings were made for 30 min (10 min in darkness, 2 or 5 min under illumination in far-red light as indicated, and the remainder in darkness). (A) The graphs show example traces of membrane potential (y-axis) against time (x-axis), for the full 30 min recording (upper graph) and for three 500 ms sweeps at the time points indicated. The neuron exposed to 13.5 J/cm2 far-red light (black) started to depolarize as illumination was discontinued and replicated the stages of depolarization seen during continuous far-red light exposure in Figure 4 – including firing trains of action potentials at high frequency during depolarization before becoming refractory. The neuron exposed to 6.4 J/cm2 far-red light depolarized later and to a more modest extent. (B) Mean ± SE membrane potential is shown for neurons exposed to 13.4 J/cm2 (black circles, n = 4) or 6.4 J/cm2 (red triangles, n = 6) in 1 min time bins before, during and after light exposure. ***p<0.001, **p<0.01, *p<0.05, 13.5 J/cm2 versus 6.4 J/cm2, 2-way repeated measures ANOVA with Šidák multiple comparisons test. (C) Mean membrane potential in each 1-minute time bin for each individual neuron analyzed in panel B. These data show that the severity and rapidity of neuronal depolarization were dependent on the amount of far-red light energy delivered.

Acute neuronal depolarization in NeuMitoFAP zebrafish exposed to MG2I and far-red light.

(A) Whole-cell patch clamp recordings were made from posterior lateral line ganglion (PLLG) sensory neurons. The inset figure shows the preparation and experimental design (the arrow shows a patch-clamp pipette in contact with a mitoFAP-expressing neuron). Recordings were made for 30–40 min (10 min in darkness and then a further 20–30 min under illumination in far-red light at λpeak=661 nm). The graphs show example traces of membrane potential (y-axis) against time (x-axis), for the full 30 min recording (upper graph) and for three 500 ms sweeps after cumulative far-red light doses of 0, 20 or 40 J/cm2 as indicated. Experimental groups: WT zebrafish exposed to MG2I (green); NeuMitoFAP zebrafish (blue); NeuMitoFAP zebrafish exposed to MG2I (red); NeuMitoFAP zebrafish exposed to MG2I, recordings made with phosphocreatine (pCr) added to pipette solution (black). (B) Mean ± SE membrane potential (y-axis; 5–10 neurons per group) in each 5 min time bin (x-axis) during recording. *p<0.05, ****p<0.0001, NeuMitoFAP-MG2I versus other groups at same time point, 2-way repeated measures ANOVA with Tukey multiple comparisons test. (C) Membrane potential of lateral line ganglion neurons (y-axis) at baseline and final potential after far-red light exposure. Data points show individual neurons, bars show mean ± SE. ****p<0.0001, 1-way ANOVA with Tukey multiple comparison test. (D) Amount of far-red light energy necessary to decrease membrane potential by >20% from baseline value (y-axis). Data points show individual neurons. Neurons that did not depolarize during the recording period are shown above the graph. **p<0.01, Fisher’s exact test.

Far-red light-induced depolarization of lateral line ganglion neurons in NeuMitoFAP zebrafish treated with MG2I.

The graphs show membrane potential values (y-axis) of lateral line ganglion sensory neurons over time (x-axis) in whole cell patch clamp recordings from multiple zebrafish in each experimental group. Continuous recordings were analyzed by calculating the mean membrane potential in 60 s time bins. Exposure to far-red light was started 10 min after the establishment of stable recordings. There was no significant baseline membrane depolarization in any experimental group. During exposure to far-red light, multiple neurons from NeuMitoFAP zebrafish treated with MG2I showed dramatic membrane depolarization at varying time points after the onset of light exposure (bottom left). There was no significant membrane depolarization in either non-transgenic zebrafish treated with MG2I (top left) or in NeuMitoFAP zebrafish in the absence of MG2I (top right). The presence of phosphocreatine in the recording pipette prevented depolarization in NeuMitoFAP zebrafish treated with MG2I, showing that depolarization is caused by ATP depletion. Example recordings at high and low temporal resolution are shown in Figure 4A. A summary of these data with statistical analysis is shown in Figure 4B-D.
Figure 4.

Disruption of mitochondrial function in NeuMitoFAP zebrafish exposed to MG2I and far-red light.

(A) ATP concentration was measured in lysates (each containing 5 whole zebrafish larvae) using a bioluminescent assay and normalized to protein content. Data points show ATP/protein in individual lysates, bars show group mean ± 95% CI. Experimental groups: NeuMitoFAP zebrafish treated with MG2I (black); NeuMitoFAP zebrafish treated with MG2I and exposed to 60 J/cm2 far-red light (red). **p<0.006, unpaired 2-tailed t-test. Graphs show results from four combined replicate experiments (n = 32 per group). (B) Design of experiments shown in panels C – E and Figure 4—figure supplement 2. (C) Oxygen consumption rate (OCR; y-axis) against time (x-axis) for NeuMitoFAP zebrafish exposed to far-red light in the presence (red) or absence (blue) of MG2I. Points show mean ± SE (n = 8 zebrafish larvae per group) in a single experiment. The period of stable OCR analyzed in panels D and E is indicated. (D, E) Stable OCR for (D) NeuMitoFAP and (E) WT zebrafish exposed to far-red light in the presence (+) or absence (−) of MG2I. Data points show values for individual zebrafish larvae. Bars show mean ± SE for 24 zebrafish per group, combined from 3 replicate experiments. ***p=0.00053, 2-tailed unpaired t-test. (F) OCR measurements for dissociated brain cells derived from NeuMitoFAP zebrafish. Cells were exposed to MG2I and far-red light (filled circles) or no light (open circles) after dissociation; OCR was measured dynamically at baseline and after exposure to oligomycin (ATP synthase inhibitor; shows proportion of OCR linked to ATP synthesis), FCCP (mitochondrial uncoupler; allows calculation of maximal respiration) and rotenone + antimycin-A (complex I and III inhibitors; shows proportion of measured OCR attributable to mitochondrial respiration). The calculation for maximal respiratory rate = OCR(FCCP) – OCR(rotenone + antimycin-A) is shown schematically to the right of the graph. Data points show mean ± SE for five samples per group. ***p<0.001, no light versus 30 J/cm2, 2-way repeated measures ANOVA with Šidák multiple comparisons test. (G) Dose-response curve for maximal respiration versus far-red light dose in NeuMitoFAP dissociated brain cells in the presence (right, red) or absence (left, blue) of MG2I. Bars show mean ± 95% CI, data points show replicate assays n = 5 per point. ****p<0.0001 versus no chemical control, 1-way ANOVA with Dunnett’s post hoc test.

It was necessary to prevent swimming movements during oximetry measurements (Figure 4) because: (i) movements of larvae could disrupt measurement of dissolved O2 in the water; and (ii) the large difference in motor activity between paralyzed NeuMitoFAP-MG2I animals and controls could cause secondary differences in O2 consumption attributable to muscle O2 consumption and unrelated to changes in neuronal respiration. (A) Larval zebrafish were paralyzed using d-tubocurarine at increasing concentrations as shown above the graphs. Visual motor responses were evaluated identically to Figure 2—figure supplement 1 in groups of 12 zebrafish at each concentration. The dark and light phases of the stimulus is show above each graph. The light tracing shows instantaneous swimming speed at each frame transition. The dark circles show mean ± SE swimming speed for all 12 zebrafish in each minute of the recording. Swimming movements in both light and dark phases of the response were abolished at higher concentrations of d-tubocurarine. (B) Mean swimming speed during the dark phase of the visual motor response was calculated. The scatter plot shows values for individual zebrafish (gray data points) with group mean ± SE superimposed (black bars). Motility was completely abolished in zebrafish exposed to 80 μM d-tubocurarine (****p<0.00001, compared with 0 μM, 1-way ANOVA, with Dunnett’s post hoc test). (C) Regardless of neuromuscular paralysis, zebrafish at all concentrations of d-tubocurarine were viable and showed normal heart rate, indicating that 80 μM tubocurarine was adequate to immobilize zebrafish in the Seahorse instrument for O2 consumption measurements without altering viability.

Bath acidification rate (BAR) was quantified at the same time as the oxygen consumption rate measurements shown in Figure 4, using a Seahorse XF24 flux analyzer. (A) In the first 30 min of measurement, bath acidification rapidly increased, reaching its peak at 25–45 min. This phasic response was identical in all four experimental groups. For quantification and statistical comparison in panels B and C, we analyzed the peak BAR between 25–45 min. (B, C) Peak BAR for (B) NeuMitoFAP and (C) WT zebrafish exposed to far-red light in the presence (+) or absence (−) of MG2I. Data points show values for individual zebrafish larvae. Bars show mean ± SE for 24 zebrafish per group, combined from 3 replicate experiments.

Severity of lateral line ganglion neuron depolarization in NeuMitoFAP-MG2I zebrafish is dependent on far-red light dose.

Whole-cell patch clamp recordings from lateral line ganglion neurons were made exactly as in Figure 4, with the exception that illumination at λpeak=661nm was stopped after 5 min (black; 13.5 J/cm2) or 2 min (red; 6.4 J/cm2) of exposure (the timings of far-red light exposures are shown as black or red bars in each panel). Recordings were made for 30 min (10 min in darkness, 2 or 5 min under illumination in far-red light as indicated, and the remainder in darkness). (A) The graphs show example traces of membrane potential (y-axis) against time (x-axis), for the full 30 min recording (upper graph) and for three 500 ms sweeps at the time points indicated. The neuron exposed to 13.5 J/cm2 far-red light (black) started to depolarize as illumination was discontinued and replicated the stages of depolarization seen during continuous far-red light exposure in Figure 4 – including firing trains of action potentials at high frequency during depolarization before becoming refractory. The neuron exposed to 6.4 J/cm2 far-red light depolarized later and to a more modest extent. (B) Mean ± SE membrane potential is shown for neurons exposed to 13.4 J/cm2 (black circles, n = 4) or 6.4 J/cm2 (red triangles, n = 6) in 1 min time bins before, during and after light exposure. ***p<0.001, **p<0.01, *p<0.05, 13.5 J/cm2 versus 6.4 J/cm2, 2-way repeated measures ANOVA with Šidák multiple comparisons test. (C) Mean membrane potential in each 1-minute time bin for each individual neuron analyzed in panel B. These data show that the severity and rapidity of neuronal depolarization were dependent on the amount of far-red light energy delivered.

Loss of neuronal mitochondrial function in NeuMitoFAP zebrafish exposed to MG2I and far-red light

We next evaluated mitochondrial function in NeuMitoFAP-MG2I zebrafish. A bioluminescence assay was used to measure ATP concentration in lysates from NeuMitoFAP-MG2I larvae. Far-red light exposure caused a ≈10% decrease in whole animal ATP content (pre-light 4.12 ± 0.10 vs. post-light 3.69 ± 0.11 μMol ATP/g protein; mean ± SE; p=0.0060, 2-tailed t-test; Figure 4A). Mitochondrial respiration was analyzed using a flux analyzer to measure whole larval O2 consumption rate (OCR). In order to allow stable recordings, and to prevent changes in muscle O2 consumption secondary to altered motor activity from obscuring differences between experimental groups, larvae were anesthetized with tricaine and paralyzed with d-tubocurarine prior to OCR quantification (Figure 4B; Figure 4—figure supplement 1). NeuMitoFAP zebrafish exposed to far-red light in the presence of MG2I showed a ≈24% decrease in whole larval OCR compared with controls that were not treated with MG2I (NeuMitoFAP 170.7 ± 8.9 vs. NeuMitoFAP-MG2I 129.2 ± 7.0 pMol/min; mean ±SE; p=0.00053, unpaired t-test; Figure 4C,D). In contrast, WT controls exposed to far-red light showed similar stable OCRs regardless of MG2I treatment (WT, 194.8 ± 11.4; WT-MG2I, 189.1 ± 14.1 pMol/min; mean ± SE; Figure 4E). Bath acidification rate was unaltered in NeuMitoFAP-MG2I zebrafish exposed to far-red light (Figure 4—figure supplement 2), providing no evidence of compensatory glycolysis following abrogation of neuronal mitochondrial function. Cultured cells, unlike whole zebrafish, can be treated with chemical inhibitors to evaluate specific aspects of mitochondrial function. Consequently, we next evaluated dissociated brain cells derived from NeuMitoFAP zebrafish. Cells were treated with MG2I and exposed to far-red light after dissociation (Figure 4F). Under these conditions, NeuMitoFAP-MG2I cells, but not controls, showed a dramatic, far-red light dose-dependent, decrease in maximal respiration (measured by comparing OCR following exposure to the uncoupling agent FCCP with OCR following exposure to the complex I and III inhibitors rotenone and antimycin-A; Figure 4F,G). Together, these data show that the combination of MG2I and far-red light caused significant disruption of mitochondrial bioenergetic and respiratory functions in NeuMitoFAP zebrafish.
Figure 4—figure supplement 1.

Viability of zebrafish larvae following neuromuscular paralysis with curare.

It was necessary to prevent swimming movements during oximetry measurements (Figure 4) because: (i) movements of larvae could disrupt measurement of dissolved O2 in the water; and (ii) the large difference in motor activity between paralyzed NeuMitoFAP-MG2I animals and controls could cause secondary differences in O2 consumption attributable to muscle O2 consumption and unrelated to changes in neuronal respiration. (A) Larval zebrafish were paralyzed using d-tubocurarine at increasing concentrations as shown above the graphs. Visual motor responses were evaluated identically to Figure 2—figure supplement 1 in groups of 12 zebrafish at each concentration. The dark and light phases of the stimulus is show above each graph. The light tracing shows instantaneous swimming speed at each frame transition. The dark circles show mean ± SE swimming speed for all 12 zebrafish in each minute of the recording. Swimming movements in both light and dark phases of the response were abolished at higher concentrations of d-tubocurarine. (B) Mean swimming speed during the dark phase of the visual motor response was calculated. The scatter plot shows values for individual zebrafish (gray data points) with group mean ± SE superimposed (black bars). Motility was completely abolished in zebrafish exposed to 80 μM d-tubocurarine (****p<0.00001, compared with 0 μM, 1-way ANOVA, with Dunnett’s post hoc test). (C) Regardless of neuromuscular paralysis, zebrafish at all concentrations of d-tubocurarine were viable and showed normal heart rate, indicating that 80 μM tubocurarine was adequate to immobilize zebrafish in the Seahorse instrument for O2 consumption measurements without altering viability.

Figure 4—figure supplement 2.

No compensatory increase in glycolysis after mitochondrial targeting in NeuMitoFAP zebrafish.

Bath acidification rate (BAR) was quantified at the same time as the oxygen consumption rate measurements shown in Figure 4, using a Seahorse XF24 flux analyzer. (A) In the first 30 min of measurement, bath acidification rapidly increased, reaching its peak at 25–45 min. This phasic response was identical in all four experimental groups. For quantification and statistical comparison in panels B and C, we analyzed the peak BAR between 25–45 min. (B, C) Peak BAR for (B) NeuMitoFAP and (C) WT zebrafish exposed to far-red light in the presence (+) or absence (−) of MG2I. Data points show values for individual zebrafish larvae. Bars show mean ± SE for 24 zebrafish per group, combined from 3 replicate experiments.

Disruption of mitochondrial function in NeuMitoFAP zebrafish exposed to MG2I and far-red light.

(A) ATP concentration was measured in lysates (each containing 5 whole zebrafish larvae) using a bioluminescent assay and normalized to protein content. Data points show ATP/protein in individual lysates, bars show group mean ± 95% CI. Experimental groups: NeuMitoFAP zebrafish treated with MG2I (black); NeuMitoFAP zebrafish treated with MG2I and exposed to 60 J/cm2 far-red light (red). **p<0.006, unpaired 2-tailed t-test. Graphs show results from four combined replicate experiments (n = 32 per group). (B) Design of experiments shown in panels C – E and Figure 4—figure supplement 2. (C) Oxygen consumption rate (OCR; y-axis) against time (x-axis) for NeuMitoFAP zebrafish exposed to far-red light in the presence (red) or absence (blue) of MG2I. Points show mean ± SE (n = 8 zebrafish larvae per group) in a single experiment. The period of stable OCR analyzed in panels D and E is indicated. (D, E) Stable OCR for (D) NeuMitoFAP and (E) WT zebrafish exposed to far-red light in the presence (+) or absence (−) of MG2I. Data points show values for individual zebrafish larvae. Bars show mean ± SE for 24 zebrafish per group, combined from 3 replicate experiments. ***p=0.00053, 2-tailed unpaired t-test. (F) OCR measurements for dissociated brain cells derived from NeuMitoFAP zebrafish. Cells were exposed to MG2I and far-red light (filled circles) or no light (open circles) after dissociation; OCR was measured dynamically at baseline and after exposure to oligomycin (ATP synthase inhibitor; shows proportion of OCR linked to ATP synthesis), FCCP (mitochondrial uncoupler; allows calculation of maximal respiration) and rotenone + antimycin-A (complex I and III inhibitors; shows proportion of measured OCR attributable to mitochondrial respiration). The calculation for maximal respiratory rate = OCR(FCCP) – OCR(rotenone + antimycin-A) is shown schematically to the right of the graph. Data points show mean ± SE for five samples per group. ***p<0.001, no light versus 30 J/cm2, 2-way repeated measures ANOVA with Šidák multiple comparisons test. (G) Dose-response curve for maximal respiration versus far-red light dose in NeuMitoFAP dissociated brain cells in the presence (right, red) or absence (left, blue) of MG2I. Bars show mean ± 95% CI, data points show replicate assays n = 5 per point. ****p<0.0001 versus no chemical control, 1-way ANOVA with Dunnett’s post hoc test.

Viability of zebrafish larvae following neuromuscular paralysis with curare.

It was necessary to prevent swimming movements during oximetry measurements (Figure 4) because: (i) movements of larvae could disrupt measurement of dissolved O2 in the water; and (ii) the large difference in motor activity between paralyzed NeuMitoFAP-MG2I animals and controls could cause secondary differences in O2 consumption attributable to muscle O2 consumption and unrelated to changes in neuronal respiration. (A) Larval zebrafish were paralyzed using d-tubocurarine at increasing concentrations as shown above the graphs. Visual motor responses were evaluated identically to Figure 2—figure supplement 1 in groups of 12 zebrafish at each concentration. The dark and light phases of the stimulus is show above each graph. The light tracing shows instantaneous swimming speed at each frame transition. The dark circles show mean ± SE swimming speed for all 12 zebrafish in each minute of the recording. Swimming movements in both light and dark phases of the response were abolished at higher concentrations of d-tubocurarine. (B) Mean swimming speed during the dark phase of the visual motor response was calculated. The scatter plot shows values for individual zebrafish (gray data points) with group mean ± SE superimposed (black bars). Motility was completely abolished in zebrafish exposed to 80 μM d-tubocurarine (****p<0.00001, compared with 0 μM, 1-way ANOVA, with Dunnett’s post hoc test). (C) Regardless of neuromuscular paralysis, zebrafish at all concentrations of d-tubocurarine were viable and showed normal heart rate, indicating that 80 μM tubocurarine was adequate to immobilize zebrafish in the Seahorse instrument for O2 consumption measurements without altering viability.

No compensatory increase in glycolysis after mitochondrial targeting in NeuMitoFAP zebrafish.

Bath acidification rate (BAR) was quantified at the same time as the oxygen consumption rate measurements shown in Figure 4, using a Seahorse XF24 flux analyzer. (A) In the first 30 min of measurement, bath acidification rapidly increased, reaching its peak at 25–45 min. This phasic response was identical in all four experimental groups. For quantification and statistical comparison in panels B and C, we analyzed the peak BAR between 25–45 min. (B, C) Peak BAR for (B) NeuMitoFAP and (C) WT zebrafish exposed to far-red light in the presence (+) or absence (−) of MG2I. Data points show values for individual zebrafish larvae. Bars show mean ± SE for 24 zebrafish per group, combined from 3 replicate experiments.

Disruption of neuronal mitochondrial structure in NeuMitoFAP zebrafish exposed to MG2I and far-red light

We next investigated mitochondrial morphology by intravital microscopy. The lateral line nerve runs superficially along the larval body axis in a rostro-caudal direction, allowing confocal imaging at sufficiently high magnification to visualize the morphology of mCerulean3-labeled mitochondria within the axons of live, intact NeuMitoFAP zebrafish (Figure 5A). Image stacks were acquired through the entire medio-lateral extent of the nerve and mitochondrial features analyzed quantitatively. At baseline, mitochondria were elongated in shape and distributed regularly along axons (length 4.89 ± 0.34 μm; circularity 0.29 ± 0.017; number of mitochondria per field of view 75.50 ± 6.84; mean ± SE; Figure 5A-D). Length, shape and distribution were unaffected by either far-red light or MG2I alone (Figure 5A–D). However, in the presence of MG2I, an increased number of small, rounded mitochondria were seen in NeuMitoFAP axons immediately following far-red light exposure (length 2.00 ± 0.12 μm, p<0.0001; circularity 0.60 ± 0.014, p<0.0001; number 131.70 ± 10.57, p<0.001; NeuMitoFAP-MG2I post-light compared indivdually with each control group, 1-way ANOVA with Tukey multiple comparisons test; Figure 5A-D). These data suggest that the combination of NeuMitoFAP, MG2I and far-red light caused fragmentation of axonal mitochondria through mitochondrial 1O2 production.
Figure 5.

Disruption of mitochondrial structure in NeuMitoFAP zebrafish exposed to MG2I and far-red light.

(A) Confocal Z-plane projections showing mCerulean-labeled mitochondria in the lateral line nerves of live NeuMitoFAP zebrafish in the absence (upper images) or presence (lower images) of MG2I, before (upper image of each pair) or after (lower image of each pair) exposure to 60 J/cm2 light at λpeak=661 nm. (B - D) The (B) number of mitochondria per field, (C) mitochondrial length, and (D) mitochondrial circularity were quantified in z-plane projections of the entire medio-lateral extent of the lateral line nerve in 6 zebrafish per group. Bars show mean ± 95% CI for NeuMitoFAP zebrafish in the absence (blue) or presence (red) of MG2I, before or after exposure to far-red light. Data points show individual zebrafish (panel B) or individual mitochondria (panels C, D). ***p<0.001, ****p<0.0001, NeuMitoFAP-MG2I post-light versus each other group individually, 1-way ANOVA with Tukey multiple comparisons test. (E, F) Transmission electron micrographs of sections from the telencephalon of NeuMitoFAP zebrafish immediately after exposure to far-red light in the (F) presence or (E) absence of MG2I. The left image of each pair shows a low-magnification view, and the right image shows a high-magnification view illustrating the ultrastructure of individual neuronal mitochondria. Arrows in panel F show swollen, damaged mitochondria. (G) The proportion of abnormal mitochondria was quantified by a blinded observer in 12 electron micrographs each from 6 experimental groups (NeuMitoFAP with or without MG2I, before, 0 or 24 hr after 60 J/cm2 far-red light exposure). Bars show mean ± SE% abnormal mitochondria per section in each group. Numbers of total and abnormal mitochondria in each group are shown. ***p<0.001, compared individually with each control (pre-light and no chemical) group, 1-way ANOVA with Tukey multiple comparisons test.

NeuMitoFAP zebrafish larvae were treated with MG2I or no chemical from 3 to 5 dpf and then exposed to 60 J/cm2 light at λpeak=661 nm, following which they were fixed immediately for electron microscopy. (A) Toluidine Blue-labeled thin sections of the telencephalon, showing the widespread appearance of lucent areas in the cytoplasm of NeuMitoFAP-MG2I neurons following light exposure (right panel; examples of lucent areas are indicated with arrows). These abnormalities were not present in controls that were not treated with MG2I (left panel). (B) Transmission electron microscopy images showing that the lucent areas correspond to severely damaged mitochondria that were swollen and lacked cristae. Multiple abnormal mitochondria were frequently seen within the same cell (left). Severely damaged mitochondria were also apparent within axons and terminals (right) corresponding to the fragmented and swollen axonal mitochondria seen in Figure 5A.

Disruption of mitochondrial structure in NeuMitoFAP zebrafish exposed to MG2I and far-red light.

(A) Confocal Z-plane projections showing mCerulean-labeled mitochondria in the lateral line nerves of live NeuMitoFAP zebrafish in the absence (upper images) or presence (lower images) of MG2I, before (upper image of each pair) or after (lower image of each pair) exposure to 60 J/cm2 light at λpeak=661 nm. (B - D) The (B) number of mitochondria per field, (C) mitochondrial length, and (D) mitochondrial circularity were quantified in z-plane projections of the entire medio-lateral extent of the lateral line nerve in 6 zebrafish per group. Bars show mean ± 95% CI for NeuMitoFAP zebrafish in the absence (blue) or presence (red) of MG2I, before or after exposure to far-red light. Data points show individual zebrafish (panel B) or individual mitochondria (panels C, D). ***p<0.001, ****p<0.0001, NeuMitoFAP-MG2I post-light versus each other group individually, 1-way ANOVA with Tukey multiple comparisons test. (E, F) Transmission electron micrographs of sections from the telencephalon of NeuMitoFAP zebrafish immediately after exposure to far-red light in the (F) presence or (E) absence of MG2I. The left image of each pair shows a low-magnification view, and the right image shows a high-magnification view illustrating the ultrastructure of individual neuronal mitochondria. Arrows in panel F show swollen, damaged mitochondria. (G) The proportion of abnormal mitochondria was quantified by a blinded observer in 12 electron micrographs each from 6 experimental groups (NeuMitoFAP with or without MG2I, before, 0 or 24 hr after 60 J/cm2 far-red light exposure). Bars show mean ± SE% abnormal mitochondria per section in each group. Numbers of total and abnormal mitochondria in each group are shown. ***p<0.001, compared individually with each control (pre-light and no chemical) group, 1-way ANOVA with Tukey multiple comparisons test.

Widespread disruption of mitochondrial morphology in NeuMitoFAP zebrafish exposed to MG2I and far-red light.

NeuMitoFAP zebrafish larvae were treated with MG2I or no chemical from 3 to 5 dpf and then exposed to 60 J/cm2 light at λpeak=661 nm, following which they were fixed immediately for electron microscopy. (A) Toluidine Blue-labeled thin sections of the telencephalon, showing the widespread appearance of lucent areas in the cytoplasm of NeuMitoFAP-MG2I neurons following light exposure (right panel; examples of lucent areas are indicated with arrows). These abnormalities were not present in controls that were not treated with MG2I (left panel). (B) Transmission electron microscopy images showing that the lucent areas correspond to severely damaged mitochondria that were swollen and lacked cristae. Multiple abnormal mitochondria were frequently seen within the same cell (left). Severely damaged mitochondria were also apparent within axons and terminals (right) corresponding to the fragmented and swollen axonal mitochondria seen in Figure 5A. Transmission electron microscopy was employed to investigate mitochondrial ultrastructure in the brains of NeuMitoFAP zebrafish, immediately following far-red light exposure. In the absence of MG2I, neurons showed normal morphology; their mitochondria were elongated in shape and filled with densely-stacked tubular and lamellar cristae (Figure 5E). In the presence of MG2I, far-red light exposure caused the widespread appearance of lucent areas in neuronal cytoplasm at low magnification (Figure 5F, left panel, arrows). These areas corresponded to swollen, rounded mitochondria with nearly complete elimination of cristae (Figure 5F; Figure 5—figure supplement 1). The proportion of abnormal mitochondria showing rounded shape and absent or reduced cristae was determined in 12 fields of view per experimental group by a blinded observer (6.14 ± 2.84 mitochondria per field, mean ± SD). No abnormal mitochondria were observed in NeuMitoFAP zebrafish prior to far-red light exposure. In the absence of MG2I, a single abnormal mitochondrion was seen immediately following far-red light exposure. In contrast, in the presence of MG2I, far-red light caused extensive disruption to neuronal mitochondrial ultrastructure. NeuMitoFAP-MG2I zebrafish showed 93.3 ± 3.5% abnormal mitochondria immediately post-exposure, and 97.0 ± 3.0% abnormal mitochondria at 24 hr post-exposure (p<10−15 compared with no chemical control group at same time point; 2-way ANOVA with Šidák multiple comparisons test; Figure 5G). Together, these data show that far-red light exposure in the presence of MG2I caused severe structural deficits in the neuronal mitochondria of NeuMitoFAP zebrafish that were attributable to damage caused by mitochondrial chemoptogenetic 1O2 production.
Figure 5—figure supplement 1.

Widespread disruption of mitochondrial morphology in NeuMitoFAP zebrafish exposed to MG2I and far-red light.

NeuMitoFAP zebrafish larvae were treated with MG2I or no chemical from 3 to 5 dpf and then exposed to 60 J/cm2 light at λpeak=661 nm, following which they were fixed immediately for electron microscopy. (A) Toluidine Blue-labeled thin sections of the telencephalon, showing the widespread appearance of lucent areas in the cytoplasm of NeuMitoFAP-MG2I neurons following light exposure (right panel; examples of lucent areas are indicated with arrows). These abnormalities were not present in controls that were not treated with MG2I (left panel). (B) Transmission electron microscopy images showing that the lucent areas correspond to severely damaged mitochondria that were swollen and lacked cristae. Multiple abnormal mitochondria were frequently seen within the same cell (left). Severely damaged mitochondria were also apparent within axons and terminals (right) corresponding to the fragmented and swollen axonal mitochondria seen in Figure 5A.

Mitochondrial damage causes delayed neuronal death

Finally, we determined the downstream consequences of neuronal mitochondrial damage. The immediate loss of motor function observed in NeuMitoFAP-MG2I larvae following far-red light exposure did not recover over the subsequent 4 days, even though the zebrafish appeared morphologically unremarkable (Figure 2—figure supplement 4), underwent normal somatic, cardiac and vascular development and showed similar heartbeat and circulation to controls (Figure 6A, B; Videos 3 and 4). In order to clarify the basis for this persistent neurological deficit, we employed acridine orange (AO, a DNA intercalating agent that labels degenerating cells in which the plasma membrane has become permeable), in combination with intravital microscopy, to quantify cell death in live, intact larvae (Figure 6C, D; Figure 6—figure supplement 1). Baseline developmental cell death was observed in the spinal cords of all zebrafish (WT-MG2I, 9.5 ± 0.7; NeuMitoFAP, 10.1 ± 0.6; NeuMitoFAP-MG2I, 18.5 ± 2.1 AO-labeled cells/spinal cord; mean ± SE). Immediately following far-red light exposure, cell death started to increase steadily in NeuMitoFAP-MG2I larvae but not controls, peaking at 24 hr post-exposure. At this time point, over 30-fold more AO-labeled cells were found in NeuMitoFAP-MG2I larvae than controls (WT-MG2I, 9.7 ± 0.8; NeuMitoFAP, 9.7 ± 1.1; NeuMitoFAP-MG2I, 311.7 ± 14.8 AO cells/spinal cord; p<10−15 NeuMitoFAP-MG2I vs. NeuMitoFAP, p<10−15 NeuMitoFAP-MG2I vs. MG2I, p<10−15 NeuMitoFAP-MG2I at 24 hr vs. baseline, 2-way ANOVA with Tukey multiple comparisons test; Figure 6C, D). Transmission electron microscopy was employed to examine the underlying ultrastructural changes (Figure 6E). Prior to far-red light exposure, NeuMitoFAP-MG2I neurons showed normal morphology with homogenous nuclei, prominent nucleoli and elongated mitochondria with densely packed cristae. Immediately after far-red light exposure, severe and widepread mitochondrial abnormalities were observed in neurons, as described above. Remarkably, however, despite these dramatic mitochondrial changes, the adjacent nuclear membrane, Golgi apparatus and endoplasmic reticulum appeared normal at this time point. By 2 hr post-exposure, scattered neurons started to show nuclear chromatin condensation and other morphological changes, including nuclear membrane separation. At 24 hr post-exposure, numerous apoptotic bodies were visible, along with neurons showing morphological features suggesting ongoing apoptosis, and other neurons showing signs suggestive of necrosis.
Figure 6.

Persistent neurological deficits and cell death in NeuMitoFAP zebrafish exposed to MG2I and far-red light.

(A) Mean swimming speed of NeuMitoFAP zebrafish treated with MG2I was quantified during the dark phase of the visual motor response (y-axis) after exposure to 60 J/cm2 far-red light (red) or no exposure (black). Data points show responses of individual zebrafish before light exposure and afterwards at the time points indicated (x-axis). Bars show group mean ± 95% CI. ****p<0.0001, 2-way ANOVA with Šidák multiple comparisons test. (B) Heart rate (y-axis) was quantified in the same experimental groups and time points as panel A. Data points show heart rates of individual zebrafish, bars show group mean ± 95% CI. (C) Degenerating cells in MG2I-treated NeuMitoFAP zebrafish were labeled with acridine orange, before, and 2 and 24 hr after exposure to 60 J/cm2 far-red light. The images show confocal z-plane projections through the spinal cord of immobilized live zebrafish larvae. dL5**-mCerulean3 is pseudocolored blue and acridine orange-labeled cells yellow. (D) Acridine orange-labeled cells in the spinal cord of live zebrafish were counted (y-axis), before far-red light exposure and at the indicated time points afterwards (x-axis). Experimental groups: WT zebrafish treated with MG2I (green), NeuMitoFAP zebrafish (blue), NeuMitoFAP zebrafish treated with MG2I (red). Data points show individual zebrafish, bars show mean ± SE. *p<0.05, ****p<0.0001, NeuMitoFAP-MG2I zebrafish versus other groups at the same time point; #p<0.05, ####p<0.0001, NeuMitoFAP-MG2I zebrafish at the indicated time point versus pre-exposure value; 2-way ANOVA with Tukey multiple comparisons test. (E) Transmission electron micrographs of sections from the telencephalon of NeuMitoFAP zebrafish treated with MG2I before, and at the indicated time points after, far-red light exposure. The upper image of each pair shows a low-magnification view, and the lower image shows a high-magnification view illustrating ultrastructural features.

Similar micrographs are shown as in Figure 6C, and quantified in Figure 6D, but including the control groups in comparison with NeuMitoFAP-MG2I larvae, before exposure, 2 hr after, and 24 hr after exposure to 60 J/cm2 far-red light at λpeak=661 nm. Segments of the spinal cord of live anesthetized zebrafish larvae were imaged using confocal microscopy for mCerulean3 (pseudocolored blue) and Acridine Orange (pseudocolored yellow). Under the zebrafish eno2 promoter element (Bai et al., 2007), the dL5**-mCerulean3 fusion protein is expressed in the mitochondria of most neurons in NeuMitoFAP zebrafish, so the spinal cord is outlined by the mCerulean3 fluorescence signal, providing a convenient anatomical landmark. There is no mCerulean3 signal in non-transgenic zebrafish (top row). The number of Acridine Orange-labeled cells in the spinal cord increased dramatically in NeuMitoFAP-MG2I zebrafish, but not controls, following exposure to far-red light (see Figure 6D for quantification and statistical analysis).

Video 3.

Persistent motor deficits in NeuMitoFAP-MG2I zebrafish following far-red light exposure.

7dpf zebrafish are shown 48 hr after far-red light exposure at 5dpf. Methods and experimental groups are identical to Video 1. The severe neurological abnormalities seen immediately after far-red light exposure at 5dpf persist in the NeuMitoFAP-MG2I-light group after two days of recovery.

Video 4.

Normal circulatory and cardiac development in NeuMitoFAP-MG2I zebrafish following far-red light exposure.

Phase contrast videomicrography of 7dpf zebrafish 48 hr after far-red light exposure at 5dpf. Methods and experimental groups are identical to Video 2. Despite the persistence of severe neurological abnormalities two days after light exposure, circulation and heartbeat in the NeuMitoFAP-MG2I-light group remain normal, showing that irreversible abnormalities are restricted to the nervous system.

Figure 6—figure supplement 1.

Delayed CNS cell death in NeuMitoFAP zebrafish exposed to MG2I and far-red light.

Similar micrographs are shown as in Figure 6C, and quantified in Figure 6D, but including the control groups in comparison with NeuMitoFAP-MG2I larvae, before exposure, 2 hr after, and 24 hr after exposure to 60 J/cm2 far-red light at λpeak=661 nm. Segments of the spinal cord of live anesthetized zebrafish larvae were imaged using confocal microscopy for mCerulean3 (pseudocolored blue) and Acridine Orange (pseudocolored yellow). Under the zebrafish eno2 promoter element (Bai et al., 2007), the dL5**-mCerulean3 fusion protein is expressed in the mitochondria of most neurons in NeuMitoFAP zebrafish, so the spinal cord is outlined by the mCerulean3 fluorescence signal, providing a convenient anatomical landmark. There is no mCerulean3 signal in non-transgenic zebrafish (top row). The number of Acridine Orange-labeled cells in the spinal cord increased dramatically in NeuMitoFAP-MG2I zebrafish, but not controls, following exposure to far-red light (see Figure 6D for quantification and statistical analysis).

Persistent neurological deficits and cell death in NeuMitoFAP zebrafish exposed to MG2I and far-red light.

(A) Mean swimming speed of NeuMitoFAP zebrafish treated with MG2I was quantified during the dark phase of the visual motor response (y-axis) after exposure to 60 J/cm2 far-red light (red) or no exposure (black). Data points show responses of individual zebrafish before light exposure and afterwards at the time points indicated (x-axis). Bars show group mean ± 95% CI. ****p<0.0001, 2-way ANOVA with Šidák multiple comparisons test. (B) Heart rate (y-axis) was quantified in the same experimental groups and time points as panel A. Data points show heart rates of individual zebrafish, bars show group mean ± 95% CI. (C) Degenerating cells in MG2I-treated NeuMitoFAP zebrafish were labeled with acridine orange, before, and 2 and 24 hr after exposure to 60 J/cm2 far-red light. The images show confocal z-plane projections through the spinal cord of immobilized live zebrafish larvae. dL5**-mCerulean3 is pseudocolored blue and acridine orange-labeled cells yellow. (D) Acridine orange-labeled cells in the spinal cord of live zebrafish were counted (y-axis), before far-red light exposure and at the indicated time points afterwards (x-axis). Experimental groups: WT zebrafish treated with MG2I (green), NeuMitoFAP zebrafish (blue), NeuMitoFAP zebrafish treated with MG2I (red). Data points show individual zebrafish, bars show mean ± SE. *p<0.05, ****p<0.0001, NeuMitoFAP-MG2I zebrafish versus other groups at the same time point; #p<0.05, ####p<0.0001, NeuMitoFAP-MG2I zebrafish at the indicated time point versus pre-exposure value; 2-way ANOVA with Tukey multiple comparisons test. (E) Transmission electron micrographs of sections from the telencephalon of NeuMitoFAP zebrafish treated with MG2I before, and at the indicated time points after, far-red light exposure. The upper image of each pair shows a low-magnification view, and the lower image shows a high-magnification view illustrating ultrastructural features.

Delayed CNS cell death in NeuMitoFAP zebrafish exposed to MG2I and far-red light.

Similar micrographs are shown as in Figure 6C, and quantified in Figure 6D, but including the control groups in comparison with NeuMitoFAP-MG2I larvae, before exposure, 2 hr after, and 24 hr after exposure to 60 J/cm2 far-red light at λpeak=661 nm. Segments of the spinal cord of live anesthetized zebrafish larvae were imaged using confocal microscopy for mCerulean3 (pseudocolored blue) and Acridine Orange (pseudocolored yellow). Under the zebrafish eno2 promoter element (Bai et al., 2007), the dL5**-mCerulean3 fusion protein is expressed in the mitochondria of most neurons in NeuMitoFAP zebrafish, so the spinal cord is outlined by the mCerulean3 fluorescence signal, providing a convenient anatomical landmark. There is no mCerulean3 signal in non-transgenic zebrafish (top row). The number of Acridine Orange-labeled cells in the spinal cord increased dramatically in NeuMitoFAP-MG2I zebrafish, but not controls, following exposure to far-red light (see Figure 6D for quantification and statistical analysis).

Persistent motor deficits in NeuMitoFAP-MG2I zebrafish following far-red light exposure.

7dpf zebrafish are shown 48 hr after far-red light exposure at 5dpf. Methods and experimental groups are identical to Video 1. The severe neurological abnormalities seen immediately after far-red light exposure at 5dpf persist in the NeuMitoFAP-MG2I-light group after two days of recovery.

Normal circulatory and cardiac development in NeuMitoFAP-MG2I zebrafish following far-red light exposure.

Phase contrast videomicrography of 7dpf zebrafish 48 hr after far-red light exposure at 5dpf. Methods and experimental groups are identical to Video 2. Despite the persistence of severe neurological abnormalities two days after light exposure, circulation and heartbeat in the NeuMitoFAP-MG2I-light group remain normal, showing that irreversible abnormalities are restricted to the nervous system.

Discussion

We have demonstrated dramatic changes in the neurological function of an intact living vertebrate organism following chemoptogenetic targeting of mitochondrial function with organelle-level spatial precision. Our data show a direct link between neuronal respiration, bioenergetics and physiology; quantify neuronal respiration and its bioenergetic contributions in vivo; and demonstrate that neuronal death following mitochondrial damage is delayed and presumably dependent on secondary mechanisms. The new transgenic lines and methods we report will provide powerful tools for investigating mitochondrial homeostasis and pathophysiology, and for understanding the neural basis of behavior. The requirement of all three components of the chemoptogenetic system (dL5**, MG2I and far-red light) shows that the observed phenotypes were caused by singlet oxygen. The subcellular localization of the dL5**-mCerulean3 fusion protein in NeuMitoFAP zebrafish resulted in spatially-restricted 1O2 production within neuronal mitochondria. Correspondingly, initial damage was confined to mitochondria, as evidenced by preservation of cellular ultrastructure immediately adjacent to severely damaged mitochondria directly after light exposure. Potentially, 1O2 can react with all mitochondrial macromolecules and the biochemical targets of this reactive oxygen species in the mitochondrion are not yet fully resolved. In cultured HEK293 cells expressing mitochondrially-targeted dL5**-mCerulean3, exposure to MG2I and far-red light decreased the activity of mitochondrial respiratory chain complexes I, III and IV (Qian et al., 2019). COX4 and COX8 encode subunits of complex IV (CIV, cytochrome C oxidase), and it is possible that the fusion protein is directed to CIV by the COX8 sequence remaining after cleavage of the signal peptide. In this case, localized 1O2 damage to the CI-CIII2-CIV super-complex (‘respirasome’) (Letts and Sazanov, 2017) is predicted to decrease electron transport and thereby dissipate the inner membrane proton gradient, resulting in loss of ATP production and mitochondrial swelling. Although this would account for the loss of respiration and bioenergetic collapse we observed, it is unclear whether respiratory chain function is disrupted by 1O2 directly. In HEK293 cells expressing mitochondrially-targeted dL5**-mCerulean3, electron transport and respiration following light exposure were more severely disrupted by a secondary wave of ROS produced by damaged mitochondria (Qian et al., 2019). Consequently, the presence of oxidative damage does not necessarily imply that a molecule is a primary target of 1O2. Furthermore, the severe ultrastructural changes we observed immediately after light exposure raise the possibility that changes in mitochondrial function could occur as a consequence of disrupted mitochondrial architecture. Mitochondrial cristae are dynamic structures whose organization strongly influences assembly of respiratory chain super-complexes and electron transport function (Cogliati et al., 2016). Primary 1O2-induced damage to proteins involved in forming or regulating cristae, for example OPA1 (Frezza et al., 2006; Patten et al., 2014) or components of the MICOS complex (Kozjak-Pavlovic, 2017), or direct damage to inner membrane lipids, could cause indirect changes in respiratory function by disrupting the topological organization of electron transport chain complexes in the inner mitochondrial membrane (Cogliati et al., 2013). Additional studies will be necessary to determine the initial, direct targets of 1O2 in this model. FAP-MG2I zebrafish showed a large decrease in whole-animal respiration following exposure to far-red light. The 12 kb eno2 regulatory element is expressed in the majority of CNS and PNS neurons, most strongly in large projection neurons such as retinal ganglion cells, reticulospinal neurons and motor neurons, that are predicted to be most metabolically active (Bai et al., 2007; Bai et al., 2009). If it is presumed that light exposure fully disrupted cellular respiration in NeuMitoFAP-MG2I cells, it can be inferred that eno2-expressing neurons account for nearly 25% of the baseline O2 consumption in an immobilized zebrafish larva. The dramatic loss of respiratory activity following light exposure resulted in profound bioenergetic consequences. The overall 10% decrease in whole-animal ATP levels suggests a much larger ATP deficit in eno2-expressing neurons that comprise a relatively small fraction of the total cells in a larval zebrafish. It has been estimated that up to 50% energy expenditure in neurons is devoted to maintaining the transmembrane ionic gradients underlying the resting membrane potential (Howarth et al., 2012). Progressive depolarization of NeuMitoFAP-MG2I neurons during light exposure was rescued by phosphocreatine, a substrate for creatine kinase (CK) that allows ATP generation from ADP, independent of oxidative phosphorylation. This observation formally establishes that loss of neural function in this model was attributable to bioenergetic crisis and highlights the importance of mitochondrial respiration for providing the ATP necessary for physiological functions such as active ion transport in neurons. In addition, these findings provide further support to the specificity of the initial oxidative insult. A cysteine residue within the active site of CK is necessary for enzymatic activity, which has been shown in other experimental systems to be readily inactivated by oxidants including dopamine (Van Laar et al., 2008), superoxide (Yuan et al., 1992) and peroxynitrite (Konorev et al., 1998). The preservation of CK function in NeuMitoFAP zebrafish neurons sufficient to allow rescue of cellular bioenergetics by phosphocreatine suggests that 1O2-mediated damage did not inactivate cytoplasmic CK isoforms, even in the presence of severe mitochondrial disruption. The persistence of acute neurobehavioral deficits in the days following light exposure was attributable to cell death. This was maximal 24 hr after light exposure, well after acute neurobehavioral changes were first observed. We predict that the initial mitochondrial damage provoked delayed loss of cellular viability through secondary mechanisms, several of which may be involved. First, ATP depletion is a well-recognized cause of cellular necrosis. In this regard, the reliance of neuronal ATP synthesis on oxidative phosphorylation may be a critical factor distinguishing neurons from cultured cells, which showed compensatory glycolysis and cell cycle arrest, but not loss of viability, following dL5**-MG2I-induced mitochondrial damage (Qian et al., 2019). Second, it is likely that cellular Ca2+ homeostasis was disrupted in NeuMitoFAP-MG2I neurons following far-red light exposure. Cytosolic Ca2+ levels are maintained by ATP-dependent transport of Ca2+ into the endoplasmic reticulum and extracellular space, and by mitochondrial Ca2+ buffering that is dependent on the inner mitochondrial membrane electrochemical potential and its structural integrity. Each of these processes is likely to have been impaired in NeuMitoFAP-MG2I neurons following light exposure. Depending on severity and subcellular distribution, elevated cytosolic Ca2+ can trigger either necrotic or apoptotic cell death (Pinton et al., 2008). Finally, compromised mitochondrial structure may allow release of pro-apoptotic mediators. For example, cytochrome c is retained physiologically within cristae folds; consequently, the obliteration of mitochondrial cristae observed in this model is predicted to allow cytochrome c efflux into the cytoplasm, where it can initiate Apaf-1-dependent apoptosome assembly and activation of the intrinsic apoptotic pathway (Kroemer et al., 2007). Since morphological markers of both apoptosis and necrosis were visible, it seems unlikely that a single downstream mechanism was responsible for the observed cell death. The bioenergetic requirements of individual neurons vary according to their morphology and activity. Further, dL5** expression varies between different neuronal populations in NeuMitoFAP zebrafish, because the eno2 regulatory element is expressed differentially in discrete cell types (Bai et al., 2007; Bai et al., 2009). We predict that the mechanisms by which neurons die in this model depend on the relationship between bioenergetic demand and loss of ATP, similar to other cell types (Lieberthal et al., 1998). For example, a cell with high ATP requirements that sustains a severe mitochondrial injury might undergo necrotic cell death rapidly, whereas less prominent damage in a cell with more modest ATP demands might trigger signaling events culminating in delayed programmed cell death. Targeting neuronal mitochondrial function with dL5**-MG2I provides new experimental opportunities in vivo, and the tools reported here will be useful for multiple downstream applications. Use of Gal4-UAS genetics will greatly expand the utility of the approach, because the dL5**-mCerulean3 fusion protein can be expressed in the mitochondria of any cell type in vivo, by crossing Tg(UAS:COX4-COX8-dL5**-mCer3)pt427 zebrafish to a tissue-specific Gal4 driver line. Many relevant transgenic driver lines are available that express Gal4 in dopaminergic neurons (Fujimoto et al., 2011) or glial cells (Frøyset et al., 2018) of interest to disease pathogenesis, in addition to larger libraries of enhancer trap Gal4 insertions useful for functional neuroanatomy studies (Bergeron et al., 2015; Kawakami et al., 2010; Marquart et al., 2015). Furthermore, by exploiting the dependence of neurons on oxidative phosphorylation, our approach provides several improvements on current technology for targeted cell ablation to analyze neural circuits underlying behavior (Bergeron et al., 2015; Godoy et al., 2015) The most widely applied method for chemogenetic ablation in zebrafish models relies on metronidazole-induced DNA crosslinking in transgenic animals expressing the bacterial enzyme nitroreductase (Curado et al., 2007). DNA damage in this model takes many hours, and sometimes days, to accumulate to a level sufficient to ablate the targeted cell groups. In contrast, the rapid light-induced neuronal depolarization caused by mitochondrially-targeted dL5**-MG2I provides temporal certainty regarding lesion onset, avoids pharmacokinetic uncertainties inherent in chemical approaches, and occurs with sufficient rapidity to prevent compensatory changes in circuity that may obscure the resulting neurobehavioral consequences. Furthermore, spatial specificity can be enhanced by directing the activating light to particular neurons or subcellular regions of interest, for example by using a far-red laser beam rather than a diffused light source to excite dL5**-MG2I. This will be of value for future investigations into the compartmentalization of bioenergetics and maintenance of functional mitochondrial biomass in neurons in vivo. Illuminating individual topological domains of NeuMitoFAP neurons may allow direct exploration of how mitochondrial spatial distribution contributes to maintaining bioenergetic requirements and ionic gradients throughout the dendritic arborization, cell body and axonal projection. In addition, mitochondrial quality control has been implicated in the pathophysiology of neurological diseases including Parkinson’s disease, but the use of chemicals that non-selectively depolarize all mitochondria simultaneously precludes investigation of the underlying mechanisms in specific neurons. dL5**-MG2I provides several advantages over other genetically-encoded photosensitizers such as KillerRed (Bulina et al., 2006) for these applications, including minimal photobleaching, high quantal yield of 1O2, and excitation by tissue-penetrant far-red light (He et al., 2016). In addition, the necessity for addition of a chemical fluorogen to photosensitize FAP transgenic animals circumvents the practical challenges inherent in generating and propagating transgenic animals expressing constitutively active photosensitizers, which must be raised and handled in the dark. Precision subcellular ablation is likely to have broad applications in neuroscience beyond investigation of mitochondrial function and zebrafish models. Future development of this approach will include generation of constructs that direct dL5** to other cellular components, such as nuclear subdomains, lysosomal proteins or key components of pre- or post-synaptic terminals, allowing resolution of their specific contributions to cellular physiology and pathophysiology. In addition, the system is fully portable to other experimental systems, including mammalian models.

Materials and methods

DNA constructs

pT2KSAGFF (Asakawa et al., 2008) and pT2-5UASMCS (Asakawa et al., 2008) were gifts from Dr. Koichi Kawakami, National Institute of Genetics, Tokyo, Japan. To generate the driver construct, a 325 bp EcoRI/BglII restriction fragment encoding Gal4FF was released from pT2KSAGFF and, after Klenow blunting the BglII overhang, ligated into the EcoRI and Klenow-blunted PacI sites of pBS-I-Sce1-GFP-eno2-5’−3’-arm (Bai et al., 2007). The resulting plasmid was linearized with HindIII, and the 12 kb eno2 regulatory sequence, encompassing exons 1 and 2 and genomic flanking region, was captured from BAC zC51M24 by gap repair recombination, as described in our prior work (Bai et al., 2007) to yield pBS-I-Sce1-eno2:Gal4FF. To generate the responder construct, a 1.74 kb PmeI/XhoI restriction fragment was released from pcDNA3.1-cox4-cox8-dL5-2xG4S-mCerulean3 (Qian et al., 2019; Telmer et al., 2015) (Addgene 73208) and ligated into the XhoI and Klenow-blunted EcoR1 sites of pT2-5UASMCS to yield pTol2-5UAS:cox4-cox8-dL5-2xG4S-mCerulean3 (2xG4S encodes a flexible GGGGSGGGGS linker between dL5** and mCerulean3 to allow correct folding of both protein domains). Both plasmids were verified by DNA sequencing and restriction digest.

Zebrafish

Zebrafish embryos were raised in E3 buffer (5 mM NaCl, 0.17 mM KCl, 0.33 mM CaCl2, 0.33 mM MgSO4; unless otherwise stated, all chemicals were supplied by Sigma, St. Louis, MO) at 28.5°C, under cyclic illumination comprising 14 hr green light:10 hr dark. Transgenic zebrafish were generated as described in our previous work, using the I-Sce1 meganuclease method (Bai et al., 2007) for Tg(eno2:gal4ff) and the Tol2 transposon method (Dukes et al., 2016) for Tg(UAS:COX4-COX8-dL5**-mCer3). Multiple transgenic F1 founders were identified by PCR genotyping (primer sequences: eno2-GFF-F, 5’-GTCTTCTATCGAACAAGCATGC-3’; eno2-GFF-R, 5’-CATGTCAAGGTCTTCTCGAGG-3’; mitoFAP-F, 5’-CCGTCGTTACCCAAGAACC-3’; mitoFAP-R, 5’-TCCTGAGTCACCACAGCC-3’) and lines were selected for analysis based on robust transgene expression and minimal variegation. The lines reported here show Mendelian inheritance of single transgene insertions and have been assigned allele designations Tg(eno2:gal4ff)pt425 and Tg(UAS:COX4-COX8-dL5**-mCer3)pt427. Analyses were carried out using F3 and later generations after backcrosses to WT zebrafish. A minimum of three independent biological replicates were completed for all experiments.

Microscopy

Double transgenic NeuMitoFAP animals were identified by epifluorescence microscopy for the mCerulean3 reporter. Tricaine-anesthetized larvae were positioned in 3% methylcellulose for acquisition of live epifluorescence images using an Olympus MVX-10 stereo zoom microscope and SPOT camera (Olympus, Center Valley, PA). Confocal images of tricaine-anesthetized larvae, mounted in low melting point agarose in contact with the coverslip glass of a MatTek dish (MatTek Corporation, Ashland, MA), were acquired using an Olympus IX-81 inverted microscope and Fluoview confocal system (Olympus). Acridine Orange-labeled neurons were visualized using an inverted epifluorescence microscope (Olympus IX-71) and counted manually or imaged by confocal microscopy as above. For intravital imaging of mitochondria, zebrafish larvae were anesthetized in tricaine, exposed to far-red light if appropriate and then mounted on their sides in low melting point agarose at the bottom of a Mattek dish, so that the skin was in contact with the glass coverslip allowing visualization of the lateral line nerve. Images were acquired using a Leica SP8 confocal microscope with HC PL APO 1.30 NA 93x glycerol-immersion objective (Leica Microsystems, Buffalo Grove, IL). mCer3 was excited at 405 nm and emitted light collected from 447 to 699 nm with temporal gating between 0.6–6 ns using a Leica Acousto-Optical Beam Splitter. Images were taken with a 0.600 ms dwell time and 4x line averaging. Images were analyzed using NIS-Elements (Nikon Instruments, Melville, NY), by reducing Z-stacks to 2D images using extended depth focus, then binarizing the resulting images to show regions of CFP fluorescence, allowing automated measurements of circularity, size and number.

Immunofluorescence

Larvae were fixed in 4% paraformaldehyde in PBS at 4°C for 4 hr. 14μm-thick cryosections were incubated with primary antibody (chicken anti-GFP #ab13970, 1:5000, Abcam, Cambridge, MA; rabbit anti-TOM20 sc-11415, 1:1000, Santa Cruz, Dallas, TX) at 4°C for 16 hr, washed three times in PBS and incubated in secondary antibody (Alexa 488 goat anti-chicken A11039, 1:10000, and Alexa 555 goat anti-rabbit A11034, 1:10000, Thermo Fisher, Waltham, MA). After three further washes, sections were incubated in DAPI (200 ng/mL in PBS) and mounted in Gelmount (Electron Microscopy Sciences, Hatfield, PA) for confocal imaging as detailed above. Colocalization analysis was carried out using Olympus FluoView software.

Chemoptogenetic ablation

500 nM MG2I (synthesized as described previously He et al., 2016) was added to larval E3 buffer at 72hpf (hours post fertilization). After treatment with MG2I, NeuMitoFAP zebrafish were housed and handled under green LED safelight illumination (LSM-G3 × 3, SuperBrightLEDs, St. Louis, MO). Tricaine-anesthetized zebrafish were exposed to far-red light in 35 mm Mat-Tek dishes at 5dpf. A Chanzon 100W Deep Red LED array (Amazon, Seattle, WA) was mounted on a heatsink and fan and suspended from a custom-built light stand (Figure 1—figure supplement 1), allowing the 35 mm dish to be illuminated from below without heat transfer to the water (Figure 3—figure supplement 1). The LED power circuit was controlled using a microcontroller board (Arduino Uno, Amazon, Seattle, WA) for precise timing of exposure and adjustable power up to 160 mW/cm2 (Figure 1—figure supplement 1). The emission spectra of all light sources were verified using a spectrometer (BLK-CXR, Stellarnet, Tampa, FL).

Neurobehavioral analysis

Locomotor function was analyzed as reported in our prior work (Zhou et al., 2014). Larvae were transferred to 96 well plates at 5dpf under green LED illumination using a large-bore Pasteur pipette with a flame-polished aperture, then acclimatized to the recording chamber for 30 min at 28.5°C. The visual motor response was elicited using green light (Burton et al., 2017) and recorded with a USB 3.0 camera (#FL3-U3-13Y3M-C, Point Gray Research, Richmond, BC, Canada) under infrared illumination (#BL812-880, Spectrum Illumination, Montague, MI). Video recordings were analyzed offline using our published open-source MATLAB applications LSRtrack and LSRanalyze (Cario et al., 2011). All data were derived from recordings with <5% total tracking errors. Heart rates of tricaine-anesthetized zebrafish were counted manually by direct visualization of cardiac contractions through a dissecting microscope.

Electrophysiology

Larvae were anesthetized in 0.02% tricaine, paralyzed by exposure to 1 mg/mL α-bungarotoxin for 10 min, then secured through the notochord to a layer of silicone (Sylguard, Corning) in the bottom of a 35 mm culture dish, using 0.025 mm tungsten pins. The preparation was continuously superfused with extracellular solution (NaCl 131 mM, KCl 2 mM, KH2PO4 1.25 mM, NaHCO3 20 mM, MgCl2 2 mM, CaCl2 2.5 mM, Glucose 10 mM, bubbled with 95% oxygen/5% CO2, pH 7.4) at rate of 2 mL/min throughout recording. A flap of skin was reflected using a fine tungsten probe to expose the posterior lateral line ganglion. The region was imaged during recording using an Olympus BX51WI microscope with 40x water immersion objective and infrared DIC optics, illuminated with an Olympus U-LH100 IR halogen light source with 32BP775 IR bandpass filter (Olympus, Center Valley, PA), and visualized using a USB 3.0 video camera (#FL3-U3-20E4M-C, Point Gray Research, Richmond, BC, Canada). Glass microelectrodes with resistance of 6–10 MΩ were filled with intracellular solution (KGlu 126 mM, KCl 15 mM, NaCl 10 mM, HEPES 10 mM, MgCl2 2 mM, pH 7.2; phosphocreatine 10 mM was added for one experimental group) and connected to a headstage (HS-9A × 0.1 U, Molecular Devices, San Jose, CA) mounted on a motorized micromanipulator (MP-225, Sutter Instrument, Novato, CA). Patch clamp recordings were made from posterior lateral line ganglion neurons in a whole-cell configuration, using a microelectrode amplifier (Axoclamp 900A, Molecular Devices, San Jose, CA) in current clamp mode. Signals were digitized at 4 kHz sampling rate (Digidata 1440A, Molecular Devices). A far-red LED light source (Chanzon 100W Deep Red LED array, Amazon, Seattle, WA) was mounted on a heatsink under the recording chamber. Baseline membrane potential was recorded for 10 min, following which the LED was activated and recording continued for a further 20–30 min. Data were analyzed offline (Clampfit 10.7 module of pCLAMP, Molecular Devices).

Respiration

Oxygen consumption rate (OCR) and bath acidification rate (BAR) were measured using a Seahorse XF24 Extracellular Flux Analyzer (Agilent, Santa Clara, CA). Zebrafish larvae were anesthetized in 0.015% tricaine and then a small cut made in the distal caudal fin to facilitate absorption of drugs from the bath. After incubation in 40 μM d-tubocurarine for 5–10 min until spontaneous and touch-evoked muscle contractions were lost, larvae were transferred into the wells of a Seahorse XF24 Islet microplate (Agilent, Santa Clara, CA) containing 800 μL of E3 buffer, positioned in the center of each well using an eyelash, and then secured by islet plate capture screens. Four buffer-only wells on each plate served as negative controls. After sensor calibration, basal OCR and BAR were quantified over 24 cycles, each consisting of 1.5 min mixing and 4 min measurement. For measurements on dissociated cells, freshly-dissected adult NeuMitoFAP zebrafish brains were incubated with 0.25% trypsin/EDTA (Thermo Fisher, Waltham, MA) at 37°C for 20 min, which was inactivated by adding 5 volumes of 10% fetal bovine serum (FBS) in PBS. Samples were pipetted to dissociate cells, centrifuged at 2000 rpm, washed with 2% FBS in PBS and passed through a 40 μm cell strainer (BD Falcon, Corning, NY), following which cells were incubated with 100 nm MG2I in the dark for 20 min at 20°C then washed and exposed to far-red light using the same apparatus as used for zebrafish. 3 × 105 cells in DMEM (# D7777, Sigma, St, Louis, MO) were plated into each well of a 96-well Seahorse Xfe96 FluxPak plate (Agilent, Santa Clara, CA) and equilibrated at 28°C for one hour prior to running the Seahorse assay. Inhibitors and final concentrations were: Oligomycin (1 μg/mL; Sigma, #O4876), FCCP (300 nM; Sigma, #C2920), rotenone (1 μM; Sigma, R8875), antimycin-A (1μM; Sigma, A8674).

ATP quantification

2 hr after exposure to far-red light, groups of 5 larvae were collected and homogenized in 50 µL lysis buffer (tris 30 mM, urea 9M, CHAPS 2% w/v, pH 7.4) on ice, then centrifuged at 10,000 g for 15 min. ATP concentration was measured in the supernatant using a bioluminescence assay (ATP Determination Kit, Invitrogen, Carlsbad, CA) and a luminometer (LMax II, Molecular Devices, San Jose, CA), in comparison with a reference curve of known ATP concentrations. Values for each sample were then normalized to protein concentration, measured using a Bradford assay (BioRad, Hercules, CA) and microplate reader (SPECTRAmax PLUS384, Molecular Devices, San Jose, CA) in comparison with a reference curve of known bovine albumin concentrations.

Acridine Orange labeling

A 100 mg/mL stock solution of AO in ethanol was stored at 4°C and diluted in E3 buffer immediately before use to a final concentration of 5 μg/mL. Zebrafish larvae were incubated in the resulting solution at 28°C for 30 min in the dark, washed twice for 10 min each in E3 buffer, anesthetized in 0.015% tricaine, and mounted in low melting point agarose against the coverslip glass of a MatTek dish for imaging.

Electron microscopy

Zebrafish larvae were fixed in Karnovsky fixative at 4°C for 16 hr, the skull and surrounding tissues dissected to expose the brain, then fixed for a further 24 hr. Samples were then rinsed in PBS, post-fixed in 1% osmium tetroxide with 1% potassium ferricyanide, rinsed in PBS, dehydrated through a graded series of ethanol and propylene oxide and embedded in Poly/Bed 812 (Polysciences, Warrington, PA). 300nm-thick sections were stained with 0.5% Toluidine Blue in 1% sodium borate and examined under a light microscope to identify regions of interest. 65 nm-thick sections were stained with uranyl acetate and Reynold’s lead citrate, then imaged using a JEOL 1011 transmission electron microscope with a side mount AMT 2K digital camera (Advanced Microscopy Techniques, Danvers, MA).

Experimental design and data analysis

All experiments were repeated in at least three independent biological replicates (different cohorts of larval zebrafish bred on different days). Data from replicate experiments whose results did not differ significantly were combined for clarity of presentation, as indicted in individual figure legends. Experimental groups were defined firstly by genotype, then larvae allocated randomly to receive MG2I or no chemical. In the interests of transparency, eLife publishes the most substantive revision requests and the accompanying author responses. Acceptance summary: This manuscript provides a thorough characterization of a new, powerful, tool to assess the impact of impaired mitochondrial function on neurons and in an accessible in vivo vertebrate model system. The ability to use light to damage organelles in a tissue-specific manner will be useful for all interested in mitochondrial biology. Decision letter after peer review: Thank you for submitting your article "Chemoptogenetic ablation of neuronal mitochondria in vivo with spatiotemporal precision and controllable severity" for consideration by eLife. Your article has been reviewed by three peer reviewers, including Stephen C Ekker as the Reviewing Editor and Reviewer #1, and the evaluation has been overseen by Didier Stainier as the Senior Editor. The following individual involved in review of your submission has agreed to reveal their identity: Jeff S Mumm (Reviewer #2). The reviewers have discussed the reviews with one another and the Reviewing Editor has drafted this decision to help you prepare a revised submission. Summary: The authors describe an innovative chemoptogenetic approach for disrupting mitochondrial function in targeted neurons in vivo. Xie et al. have used transgenesis combined with novel chemoptogenetic techniques to create a zebrafish line that can be used to systematically induce oxidative stress in mitochondria of various cell types using tissue specific Gal4 drivers. This line will be incredibly useful to the mitochondrial biology community as it will enable researchers to test the role of mitochondrial oxidative stress in disease etiology, a major open question in the field. The authors have gone to great lengths to show the basic system and the complex effects they see are not due to some side-effects or other technical artifacts. There are some concerns, however, about the true mediators of their highly localized induction of activated oxygen. This is appropriate as a resource paper for eLife. Essential revisions: 1) Adjustable damage: The authors state, "severity and rate of induction can be regulated by adjusting light exposure time and power", which was demonstrated for locomotor activity inhibition. Given the potential for providing insight into mechanisms regulating reparative responses to mitochondrial damage and ATP depletion in neurons, an example of sub-lethal induction, i.e., sufficient for a quantifiable change without incurring cell ablation, would provide a valuable demonstration of this property that would further support the adjustable nature of the tool and substantially enhance the impact of the manuscript. 2) It is unclear if defects to the mitochondria are the cause of the neuronal activity alterations and cell death. Clearly the organelles do not look healthy by TEM but the effect of singlet oxygen on mitochondrial health and function are not tested. Since the mitochondria are already labeled with a fluorescent protein, it would be relatively simple to assess mitochondrial localization and shape after the insult. 3) The EM analyses were not well described. Such work – even with the extreme dysmorphology reported here – needs to be assessed in a blinded fashion. The authors could take the assembled scans, encode them, and have a blinded assessment to increase rigor of this work. 4) Statistical analysis: The 1-way and/or 2-way ANOVA used to evaluate data in Figures 2D, 3B-C, 5A, 5C-D, and Figure 2—figure supplement 2B is not sufficient to assess differences between groups. A post hoc analysis with correction for multiple comparisons is required, as per Figure 2—figure supplement 2B, Figure 2—figure supplement 3B-C and Figure 4—figure supplement 1B. Figure legends should indicate if dots in scatter plots represent individual fish of a single exemplary experiment or across all replicates. Essential revisions: 1) Adjustable damage: The authors state, "severity and rate of induction can be regulated by adjusting light exposure time and power", which was demonstrated for locomotor activity inhibition. Given the potential for providing insight into mechanisms regulating reparative responses to mitochondrial damage and ATP depletion in neurons, an example of sub-lethal induction, i.e., sufficient for a quantifiable change without incurring cell ablation, would provide a valuable demonstration of this property that would further support the adjustable nature of the tool and substantially enhance the impact of the manuscript. We previously showed that the severity of the acute neurological phenotype was dependent on the amount of far-red light energy to which the zebrafish were exposed (Figure 2—figure supplement 2). We now show further evidence of the adjustable nature of our approach and the potential for induction of sub-lethal damage: (i) we have measured motor function during far-red light exposure, showing that the earliest abnormality is hyperkinesia, which advances to progressive hypokinesia as far-red light illumination is continued and cumulative energy exposure increases (new Figure 2—figure supplement 4); (ii) we show evidence of a dose-response relationship between far-red light exposure and electrophysiological abnormalities, including non-lethal partial depolarization after transient far-red light exposure (new Figure 3—figure supplement 2); (iii) we show a dose-response relationship between far-red light exposure and mitochondrial respiratory function in dissociated brain cells by Seahorse assay (new Figure 4F and G). Together these data show unequivocally that the severity of mitochondrial damage and the resulting phenotypes are adjustable by far-red light dose. 2) It is unclear if defects to the mitochondria are the cause of the neuronal activity alterations and cell death. Clearly the organelles do not look healthy by TEM but the effect of singlet oxygen on mitochondrial health and function are not tested. Since the mitochondria are already labeled with a fluorescent protein, it would be relatively simple to assess mitochondrial localization and shape after the insult. Rescue of electrophysiological abnormalities by phosphocreatine (Figure 3) formally proves that neuronal depolarization was caused by bioenergetic collapse, which is supported by the decreased ATP levels we measured in larvae after light exposure (Figure 4A). In neurons, bioenergetic crisis characteristically results from loss of mitochondrial function. The involvement of singlet oxygen in causing these abnormalities is strongly supported by the absolute requirement of all three components of the chemoptogenetic system (FAP, MG2I and far-red light) to provoke relevant phenotypic changes (Figures 2-6); formal proof that the deleterious cellular effects of FAP/MG2I/far-red light are attributable to singlet oxygen was shown in prior publications1, 2. The effect of singlet oxygen on mitochondrial health is shown as (i) loss of mitochondrial respiratory activity in NeuMitoFAP zebrafish exposed to MG2I and far-red light (Figures 4C-E), and (ii) ultrastructural changes in their mitochondria (Figure 5E, F). As suggested, further evidence that the chemoptogenetic system targets mitochondria is now provided by new intravital imaging studies, showing mitochondrial fragmentation in lateral line nerve axons of live NeuMitoFAP-MG2I zebrafish immediately after far-red light exposure (new Figure 5A-D). Together, these data (along with data in Figure 1 showing localization of the fluorogen activating protein dL5** within mitochondria) provide unambiguous evidence that the phenotypic changes we observed in FAP transgenic animals exposed to MG2I and far-red light are caused by singlet-oxygen induced deficits in mitochondrial structure and function. 3) The EM analyses were not well described. Such work – even with the extreme dysmorphology reported here – needs to be assessed in a blinded fashion. The authors could take the assembled scans, encode them, and have a blinded assessment to increase rigor of this work. For each of 6 experimental groups (NeuMitoFAP-no chemical and NeuMitFAP-MG2I, prior to, immediately after, and 24 hours after light exposure), 12 identically-sized fields of view were re-imaged by electron microscopy. The resulting 72 images (containing a total of 69-83 mitochondria per group) were analyzed by an observer not involved in image acquisition and blinded to the identity of the sections (new Figure 5G). The number of mitochondria in each field was counted and each mitochondrion scored as ‘normal’ (multiple tubular or lamellar cristae, elongated shape) or ‘abnormal’ (absent or severely attenuated cristae, rounded shape). NeuMitoFAP-MG2I zebrafish exposed to far-red light showed 90.4 ± 3.5% (immediate post-light) and 95.0 ± 3.0% (24 hours post-light) abnormal mitochondria per section compared with 0 – 1.4% abnormal mitochondria in the control groups. These large differences were statistically significant, showing explicitly that the dramatic abnormalities observed in mitochondrial ultrastructure were specific to transgenic zebrafish exposed to MG2I and far-red light – and therefore attributable to chemoptogenetic damage. 4) Statistical analysis: The 1-way and/or 2-way ANOVA used to evaluate data in Figures 2D, 3B-C, 5A, 5C-D, and Figure 2—figure supplement 2B is not sufficient to assess differences between groups. A post hoc analysis with correction for multiple comparisons is required, as per Figure 2—figure supplement 2B, Figure 2—figure supplement 3B-C and Figure 4—figure supplement 1B. Figure legends should indicate if dots in scatter plots represent individual fish of a single exemplary experiment or across all replicates. The appropriate post hoc tests were completed previously, but this information was unintentionally omitted from some of the figure legends. Missing details of post hoc tests and the source of data shown in scatterplots have now been added to the figure legends. References: 1) He, J., et al. A genetically targetable near-infrared photosensitizer. Nat Methods 13, 263-268 (2016). 2) Qian, W., et al. Chemoptogenetic damage to mitochondria causes rapid telomere dysfunction. Proc Natl Acad Sci U S A 116, 18435-18444 (2019).
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