Literature DB >> 31821369

INT reduction is a valid proxy for eukaryotic plankton respiration despite the inherent toxicity of INT and differences in cell wall structure.

E Elena García-Martín1, Isabel Seguro1, Carol Robinson1.   

Abstract

The reduction of 2-para (iodophenyl)-3(nitrophenyl)-5(phenyl) tetrazolium chloride (INT) is increasingly being used as an indirect method to measure plankton respiration. Its greater sensitivity and shorter incubation time compared to the standard method of measuring the decrease in dissolved oxygen concentration, allows the determination of total and size-fractionated plankton respiration with higher precision and temporal resolution. However, there are still concerns as to the method's applicability due to the toxicity of INT and the potential differential effect of plankton cell wall composition on the diffusion of INT into the cell, and therefore on the rate of INT reduction. Working with cultures of 5 marine plankton (Thalassiosira pseudonana CCMP1080/5, Emiliania huxleyi RCC1217, Pleurochrysis carterae PLY-406, Scrippsiella sp. RCC1720 and Oxyrrhis marina CCMP1133/5) which have different cell wall compositions (silica frustule, presence/absence of calcite and cellulose plates), we demonstrate that INT does not have a toxic effect on oxygen consumption at short incubation times. There was no difference in the oxygen consumption of a culture to which INT had been added and that of a replicate culture without INT, for periods of time ranging from 1 to 7 hours. For four of the cultures (T. pseudonana CCMP1080/5, P. carterae PLY-406, E. huxleyi RCC1217, and O. marina CCMP1133/5) the log of the rates of dissolved oxygen consumption were linearly related to the log of the rates of INT reduction, and there was no significant difference between the regression lines for each culture (ANCOVA test, F = 1.696, df = 3, p = 0.18). Thus, INT reduction is not affected by the structure of the plankton cell wall and a single INT reduction to oxygen consumption conversion equation is appropriate for this range of eukaryotic plankton. These results further support the use of the INT technique as a valid proxy for marine plankton respiration.

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Year:  2019        PMID: 31821369      PMCID: PMC6903736          DOI: 10.1371/journal.pone.0225954

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

The reduction of tetrazolium salts has been widely applied to indicate the viability of prokaryotic and eukaryotic cells [1, 2], as well as in assays to measure cellular electron transport system activity [3-5]. Several studies have proposed that the reduction of the 2-para (iodophenyl)-3(nitrophenyl)-5(phenyl) tetrazolium chloride (INT) to its reduced form, formazan (INTf), could be used as a proxy for the respiratory activity of plankton cells [6, 7]. The increased sensitivity of this measurement, allowing less disruption of the sample and shorter incubation times (from minutes to hours) compared to the traditional Winkler titration method (usually 24 hours), has enabled improved understanding of the spatial and temporal variability of plankton respiration [8] as well as the apportionment of total plankton respiration to different size classes [8-10]. However, despite validation of INT reduction (INTR) as a proxy for plankton respiration [6], the method remains controversial [11, 12]. Several researchers have shown that the reduction of soluble tetrazolium salts can have a toxic effect on cells, potentially due to formazan production inhibiting the electron transport system [13], leading to a reduction in metabolic activity [5, 12]. However, this reduction in metabolism is not immediate, and therefore there is a period of time when the toxic effects are not measurable [12, 14]. As far as we are aware, there are only three studies that have determined the effect of INT on cellular oxygen consumption, one with groundwater isolates [5], one with soil samples [14], and one with cultures of a marine haptophyte and a marine bacterium [12]. Results from these studies showed similar oxygen consumption in samples amended with INT compared to controls for periods of time ranging from 1 to 4 hours [12, 14], and noted a toxic effect thereafter. However, it is difficult to extrapolate the observations of toxicity in a single marine haptophyte [12] to all marine eukaryotes. Therefore, more information on any toxic effect of INT on oxygen consumption in a range of cultured marine eukaryotes would indicate any possible bias of the INT reduction method in natural plankton samples. INT is a positively charged and cell permeable cation [15] which, in theory, freely passes through the cell walls of eukaryotes, and once inside the cell, is reduced to its formazan salt in the mitochondria [15, 16]. Plankton encompass a diverse group of organisms with a range of different cell wall compositions. Eukaryotic plankton cell walls can be made of silica frustules (diatoms), plates of calcite (coccolithophorids) or cellulose thecal plates (dinoflagellates). One of the assumptions of the INT reduction method is that the rate of reduction is consistent between organisms, independent of the cell wall structure. However, cell walls can act as a physical barrier to the diffusion of several molecules and metals into the cell [17, 18].Therefore, in order to continue to use a single relationship to convert INT reduction to oxygen consumption (CRO2) [6] for all eukaryotic plankton it is important to test this assumption with representative organisms covering the range of cell wall compositions. In this study, we tested the hypothesis that not all eukaryotic plankton cells take up and reduce INT at the same rate, and therefore there is not only one relationship between INT reduction and oxygen consumption, but several, depending on the cell wall structure of the organism (Fig 1).
Fig 1

Schematic diagram of the working hypothesis.

Oxygen consumption (CRO2), oxygen concentration [O2], INT reduction (INTR) and formazan (INTf).

Schematic diagram of the working hypothesis.

Oxygen consumption (CRO2), oxygen concentration [O2], INT reduction (INTR) and formazan (INTf).

Material and methods

Cultures and growth conditions

We chose 5 species from four dominant marine plankton groups with different cell wall characteristics: one diatom Thalassiosira pseudonana CCMP1080/5, with a silica cell wall; two coccolithophorides: Pleurochrysis carterae PLY-406 that produces calcite scales, and Emiliania huxleyi RCC1217 a non-calcifying strain; and two dinoflagellates: Scrippsiella sp. RCC1720 which has a cell wall composed of vesicles with cellulose thecal plates, and Oxyrrhis marina CCMP1133/5 a non-thecate heterotrophic dinoflagellate. Thalassiosira pseudonana CCMP1080/5 and Oxyrrhis marina CCMP1133/5 cultures were obtained from the Culture Collection of Marine Phytoplankton, currently the National Center for Marine Algae and Microbiota (NCMA, USA). Emiliania huxleyi RCC1217 and Scrippsiella sp. RCC1720 cultures were obtained from The Roscoff Culture Collection (RCC, France) and Pleurochrysis carterae PLY-406 from the Marine Biological Association (MBA Collection, UK). Cultures were maintained in the laboratory by regular subculturing. All eukaryotic cultures were grown in borosilicate glass flasks in 1 L of media (f/2-Si or K/2-Si [19-21]). The different media were prepared with autoclaved filtered (0.2 μm, Nucleopore polycarbonate membrane) seawater collected from the continuous filtered seawater supply system available in the laboratories of the Centre for Environment Fisheries and Aquaculture Science (Lowestoft, UK) pumped from the North Sea. The media used for the experiments were prepared at least 3–5 days in advance, stored in the dark at 4°C and acclimatized to the experimental temperature for at least 24 hours. Cultures were grown under 140–190 μmol m-2 s-1 cool-white illumination in a 14:10 light:dark cycle at 12°C for O. marina CCMP1133/5 and at 20°C for the other cultures. O. marina CCMP1133/5 was fed on 0.02% (volume:volume) of Chlorella vulgaris CCAP211/11B. Cultures were grown for 4–8 days prior to experiments. Cell numbers and photosynthetic efficiency of PSII (Fv/Fm ratio) were measured daily to determine the growth and the health of the cultures. Cell numbers were determined by hemocytometer counts or with a Multisizer 4e Coulter Counter with a 100 μm aperture tube (Coulter Electronics, Ltd., Luton, UK.). The Fv/Fm ratio of the cultures was measured with a Walz PHYTO-PAM Phytoplankton Analyzer fluorometer (Walz, Effelrich, Germany) after cultures were kept for 10 minutes in the dark. The pulse amplitude modulated fluorescence measurements were completed at high repetition rates at four excitation wavelengths (470, 520, 645 and 665 nm). The intensity of the measuring light was 64 μmol quanta m-2 s-1, and the saturating pulse was supplied at the maximum level specified by the Phyto-PAM (intensity level 10) at a pulse of 500 ms. All experiments were performed with cultures growing in exponential phase.

Experimental design

The experiments ran for two consecutive days. The cultures were subsampled for the experiments at the end of the dark cycle on both days and dark conditions were maintained during the manipulation of the samples. On the first day a time series incubation was performed in order to determine the time at which the rate of formazan production began to decrease (see below), which is considered the maximum INT incubation time. INT incubation times equal to or shorter than this maximum were used on the second day during experiments to determine the relationship between oxygen consumption (CRO2) and INT reduction (INTR).

Day 1: INT maximum incubation time experiment

The cell abundance of the stock culture was measured one hour before starting the experiment (Table 1). A specific volume from the culture stock was harvested and resuspended in 1–2 L of fresh medium to obtain the desired final cell density (Table 1), and left for ~30 minutes in the dark prior to the time series experiment. Thirty mL samples were then pipetted from this sub-culture into 27–33 50 mL dark borosilicate glass bottles. The samples in three of these bottles were fixed with formaldehyde (2% w/v final concentration) and used as controls. Twenty minutes later all samples were inoculated with 0.75 mL of a 7.9 mM INT stock solution to achieve a final INT concentration of 0.2 mM. The bottles were then placed into temperature-controlled water baths, and maintained at the culturing temperature (temperature variability ± 0.4 ˚C of the culturing temperature) (Table 1) for up to 22 hours depending on the cultured organism and the expected INT reduction rate. At each of 8 to 10 time points during this incubation, triplicate samples were fixed with formaldehyde as in the controls described above. The INT reduced at each time point was determined as described below. The maximum incubation time was considered to be the time at which the rate of formazan production began to decrease. Up until this point, the relationship between the concentration of formazan and time remained linear. Due to the complexity of the experiments and the time necessary to perform a single maximum incubation time experiment (12–14 h), these experiments had no biological replication.
Table 1

Summary of the temperature, cell abundance, maximum incubation time and the estimated oxygen consumed at the maximum incubation time for the different cultures during the INT time series incubations.

SpeciesDateTemperatureCell abundanceMaximum incubation timeO2 consumed by the maximum incubation time
(°C)(cells mL-1)(h)(μmol L-1)
T. pseudonana04/12/201718.8180001.821.01
T. pseudonana23/10/201819.5430001.380.97
T. pseudonana23/10/201819.5660001.081.20
T. pseudonana13/11/201821.1690000.260.44
E. huxleyi05/02/201818.0160002.730.63
E. huxleyi26/02/201817.9132000.970.02
E. huxleyi12/03/201819.4120002.920.69
Scrippsiella sp.27/03/201819.82000.920.88
Scrippsiella sp.09/04/201819.82500.40.50
O. marina16/12/201812.518003.81.04
O. marina12/01/201911.810003.91.34
P. carterae11/03/201918.245000.380.37
P. carterae19/03/201919.317000.480.35
Formazan concentration undergoes an exponential increase that can be fitted to a 3-parameter ‘exponential increase to a limit’ function (INTf = yo +a *(1- e(-b*t)), where yo, a and b are the parameters of the equation, and t is the incubation time). The approach used to estimate the time when the rate of formazan production began to decrease was as follows. We compared the INTf concentration estimated applying the ‘exponential increase to a limit’ function with the INTf concentration estimated from the linear regression equation obtained with the first three values of the relationship between the INTf concentration and incubation time. When the linear regression had a coefficient of determination smaller than 0.95, we used the first four data points in order to improve the prediction of the regression. As the linear regression with the first 3 or 4 data points is subject to error, we calculated a confidence region delimited by the slope ± one third of the standard error of the slope. This confidence region was chosen instead of the 95% confidence interval of the linear regression, as the 95% confidence interval was unacceptably wide due to the low number of datapoints (n = 3 or 4). The confidence region proposed here is 5 times more conservative than the 95% confidence interval of the linear regression. The time at which the INTf concentration estimated applying the ‘exponential increase to a limit’ function diverged from the confidence region of the INTf concentration calculated by linear regression was taken as the time when the rate of formazan production decreased with time (Fig 2).
Fig 2

Example of the procedure used to calculate the maximum incubation time for the INT reduction method.

A) INT formazan (INTf) concentration at the incubation times (black dots), the fitted ‘exponential increase to a limit’ line (black line), the linear regression calculated with the first three data points (red line) and the confidence region (area within ± one third of the standard error of the linear slope, red shaded area). B) Zoom-in of the dashed rectangle in A). The arrow indicates the time when the fitted ‘exponential increase to a limit’ function diverges from the confidence region of the linear regression.

Example of the procedure used to calculate the maximum incubation time for the INT reduction method.

A) INT formazan (INTf) concentration at the incubation times (black dots), the fitted ‘exponential increase to a limit’ line (black line), the linear regression calculated with the first three data points (red line) and the confidence region (area within ± one third of the standard error of the linear slope, red shaded area). B) Zoom-in of the dashed rectangle in A). The arrow indicates the time when the fitted ‘exponential increase to a limit’ function diverges from the confidence region of the linear regression. Concurrent changes in oxygen concentration in cultures with and without INT addition were determined by continuously monitoring the oxygen concentration using optical probe sensors (FOSPOR-R probe, Ocean Optics) in 5 INT time series experiments (2 with T. pseudonana CCMP1080/5, 2 with P. carterae PLY-406 and 1 with O. marina CCMP1133/5). Unfortunately, there are no oxygen optode data available for the E. huxleyi RCC1217 experiments, as a chemical reaction between the metallic optode needle and the medium precluded accurate measurements. The optodes were re-coated with a non-reactive film for further experiments. Fospor-R optodes have an integrated multipoint calibration performed by the manufacturer. Prior to the experiments, the appropriate isothermal calibration curve was selected followed by a single point calibration with air-saturated and temperature equilibrated media, following the manufacturer’s instructions. Three ~50 mL borosilicate bottles, each containing an optical probe, were used. The first bottle was filled with medium and used as a control to quantify the changes in oxygen concentration due to changes in the temperature of the water bath (< ±0.4 ˚C). The second bottle was filled with culture and used to measure the respiration rate of the culture, and the third bottle was filled with culture to which INT was added in order to measure any change in oxygen consumption due to the addition of INT. The medium, culture and culture+INT samples were incubated in darkness in a water bath at the culturing temperature. The optical probes were tightly inserted into the bottles such that there was no interchange of oxygen between the medium/culture inside the bottle and the water from the incubator bath. Oxygen concentration and temperature were semi-continuously recorded under an on:off cycle of 20:40 seconds for at least 4 hours.

Day 2: Oxygen consumption–INT reduction relationship experiments

For each CRO2-INTR experiment, we set up 3–4 containers (5 L borosilicate glass flask or a 10 L Thermo Scientific I-Che LDPE Cubitainer). One of the containers was filled with medium which was used as a control to check if there was any oxygen consumption or INT reduction by the medium. The cell abundance of the stock culture was measured before adding a specific volume to medium in the remaining 2–3 containers in order to achieve the required cell density (see Table 2 for final cell concentration). In 4 experiments the culture containers were duplicate or triplicate cultures with similar cell abundance (1 experiment with T. pseudonana CCMP1080/5, 2 with E. huxleyi RCC1217, and 1 with Scrippsiella sp. RCC1720), while in 8 experiments the culture containers had different cell abundances of the same culture (2 experiments with T. pseudonana CCMP1080/5, 2 with P. carterae PLY-406, 1 with E. huxleyi RCC1217, 1 with Scrippsiella sp. RCC1720, and 2 with O. marina CCMP1133/5). All containers (medium control and cultures) were stirred (250 rpm) while incubated in a temperature controlled water bath (temperature controlled room for O. marina CCMP1133/5) in the dark. The incubation temperatures were within ± 0.4°C of the culturing temperature (Table 2). The containers were sampled at two time points, first at 30 minutes after the addition of the stock culture, and then again after 3–4 hours.
Table 2

Summary of the species, date, number of culture containers, temperature (T), cell abundance and incubation time for the INT reduction (INTR) and dissolved oxygen consumption (CRO2) techniques for the different cultures during the CRO2-INTR experiments.

SpeciesDateTCell abundanceIncubation time
INTRCRO2
(°C)(cells mL-1)(h)(h)
T. pseudonana05/12/201718.813000–180000.105.5
T. pseudonana24/10/201819.535000–430000.633.1
T. pseudonana14/11/201821.127000–400000.305.7
E. huxleyi07/02/201818.010000–130001.5024.0
E. huxleyi27/02/201817.910000–120001.5024.0
E. huxleyi13/03/201819.4120000.8723.2
Scrippsiella sp.28/03/201819.8213.001.003.0
Scrippsiella sp.10/04/201819.8140–2500.23–0.272.5
O. marina17/12/201812.51500–17503.1824.4
O. marina14/01/201911.8500–10001.9822.3
P. carterae12/03/201918.23200–60000.255.3
P. carterae20/03/201919.31000–17000.23–0.304.0
P. carterae23/03/201919.36670.333.7
P. carterae26/03/201916.83300–45800.254.5

INT reduction

From each treatment (medium control or culture), at each of these two sampling time points, five 30 mL samples were collected into 50 mL dark borosilicate glass bottles. Two of these samples were fixed by adding formaldehyde (2% w/v final concentration) and used as controls. The 2 controls and 3 samples were then inoculated with a sterile solution of 7.9 mM INT solution to give a final concentration of 0.2 mM and incubated in the same temperature controlled water bath as the dissolved oxygen samples (see below) for a time equal to or shorter than the maximum incubation time determined the previous day. Incubations were terminated by adding formaldehyde to the remaining three samples, and together with the 2 controls, they were filtered onto 0.2 μm pore size polycarbonate filters, air‐dried, and stored frozen. The INT reduced formazan was extracted with propanol following García-Martín et al. [6] and the absorbance at 485 nm determined using a Perkin Lambda 25 spectrophotometer. Hourly INT reduction for each treatment was calculated as the average INT formazan in the incubated samples (n = 3) minus the average INT formazan in the controls (n = 2) divided by the incubation time.

Dissolved oxygen consumption

Respiration was determined as the decrease in dissolved oxygen after a dark incubation. The incubation time was as short as possible, and therefore varied from experiment to experiment, depending on the density of the culture. At each of the two sampling time points, samples from each medium control or culture were carefully siphoned into ten gravimetrically calibrated 60 mL borosilicate glass bottles. Five bottles were fixed at the start of the incubation (“zero”) with 0.5 mL of 3 M manganese sulphate and 0.5mL of 4 M sodium iodide/8 M sodium hydroxide solution [22]. The other five bottles were placed underwater in darkened temperature-controlled incubators for a specific incubation time (“dark”, see Table 2 for the incubation time). “Dark” bottles were fixed as described for the “zero” bottles after the incubation time. Dissolved oxygen concentration was measured by automated Winkler titration performed with a Metrohm 765 burette to a photometric end point [22]. Hourly respiration was calculated from the difference in oxygen concentration between the mean of the replicate “zero” measurements (n = 5) and the mean of the replicate “dark” measurements (n = 5) divided by the incubation time. The respiration per cell (CRO2_cell) was calculated as the respiration of the culture divided by the cell abundance of that culture. The estimation of respiration from a two point (‘start’ and ‘final’) incubation relies on the assumption of a linear decrease in dissolved oxygen. In order to confirm this assumption, we measured the oxygen concentration semi-continuously by means of optical oxygen probes in one of the culture containers in 8 CRO2-INTR experiments (2 with T. pseudonana CCMP1080/5, 2 with Scrippsiella sp. RCC1720, 2 with O. marina CCMP1133/5 and 2 with P. carterae PLY-406). Oxygen consumption was calculated as the slope of oxygen concentration measured with the optical sensors versus time. The incubations for oxygen consumption measured with optodes (<24 h) were typically much longer than those for oxygen consumption measured with Winkler titrations (usually ~ 5 h), so that although oxygen consumption varied over the full length of the optode incubation, linearity was achieved for the length of time that the oxygen bottles were incubated (S1 Fig). In fact, oxygen consumption measured semi-continuously (optodes) and discretely (Winkler titration) were significantly correlated (r = 0.57, p = 0.048, n = 8) and not significantly different (paired t-test, t = 0.6.86, df = 7, p = 0.515). Thus, we have assumed that the decrease in oxygen was linear in all incubated samples and that the oxygen consumption derived from the two point Winkler titration method was not biased.

Data analysis

To ascertain whether cell number, the respiration per cell, or the oxygen consumption of the sample (a combination of cell number and respiration per cell, see below) had the greatest influence on the maximum INT incubation time, we performed a Tau-Kendall non-parametric correlation between them. The oxygen consumed at the maximum incubation time (O2[MIT]) on the Day 1 experiment was calculated according to the following formula: where CRO2_cell is the respiration per cell from the Day 2 experiment, A1 is the cell abundance from the Day 1 experiment and MIT is the maximum incubation time from the Day 1 experiment. The correlation between oxygen consumption measured with optical sensors and by Winkler titration was analysed by Tau-Kendall non-parametric correlation, and the possible differences were analysed by paired t-test analysis. The CRO2-INTR relationships were determined with a type I ordinary least squares model regression after the data were log-transformed. The implicit assumption of our hypothesis (Fig 1) is that INTR must be significantly related to CRO2. If this assumption was not met for an organism (an insignificant CRO2-INTR relationship), the data were not included in the analysis. An analysis of covariance (ANCOVA) was used to compare the CRO2-INTR regression lines obtained from each plankton culture. The combined CRO2-INTR relationship of the cultures was compared with the published relationship derived from natural plankton populations [6] using a Clarke test [23].

Results

Maximum incubation time for the INT

The maximum incubation time (considered as the maximum time that the rate of formazan production remained constant) was different depending on the species tested and there were differences within species (Table 1). This ranged from 0.26 h for T. pseudonana CCMP1080/5 (cell density 69000 cells mL-1) to 3.9 h for O. marina CCMP1133/5 (cell density 1000 cells mL-1) (Table 1). There was a significant correlation between the maximum incubation time and the calculated O2[MIT] (r = 0.49, p = 0.02, n = 13), but not with the cell abundance (r = -0.12, p = 0.542, n = 13) or the respiration per cell (r = -0.09, p = 0.669, n = 13). These results suggest that the INT maximum incubation time is influenced by the respiration of the sample, which is a combination of cell abundance and respiration per cell.

Effect of INT on the oxygen consumption rates

The continuous monitoring of oxygen concentration with optical sensors allowed us to test the effect of INT on oxygen consumption. Despite the different oxygen consumption trends and rates, our results showed that in all of our experiments, there was no difference in the oxygen consumption of a culture to which INT had been added compared to a control culture without addition of INT during the time when the formation of formazan remained linear (Fig 3). At longer incubation times the effect of the INT on oxygen consumption followed a similar pattern: the rate of oxygen consumption was lower in samples to which INT had been added compared to the samples without INT (Figs 3 and S1). The time at which the respiration rate of samples with and without INT began to differ, varied between experiments. The toxicity (or difference in the oxygen consumption of the two samples) was evident at incubation times shorter than one hour in a T. pseudonana CCMP1080/5 experiment, which had the highest measured respiration rates (~2.5 μmol O2 L-1 h-1, Fig 3A), while the toxicity was not detectable until >7 hours in the INT treated sample in four experiments (O. marina CCMP1133/5 Fig 3C; T. pseudonana CCMP1080/5, Figure B in S1 Fig; P. carterae PLY-406, Figure E-F in S1 Fig), which had much lower respiration rates (<1 μmol O2 L-1 h-1). These results support our previous results that formazan production, and subsequent accumulation and toxicity, are related to the respiration of the sample.
Fig 3

Effect of INT on the oxygen consumption of Thalassiosira pseudonana CCMP1080/5 (A, B), Oxyrrhis marina CCMP1133/5 (C) and Pleurochrysis carterae PLY-406 (D, E) during time series incubations in the dark. The oxygen concentration (left hand y axis) of samples without INT (controls) is shown in black, and that of samples after addition of INT (final concentration 0.2 mM) in grey. The concentration of formazan is shown as open circles ± standard error on the right-hand y axis with the fitted exponential curve (dashed brown line). The time at which the decline in oxygen diverges between the INT treated samples and the controls is shown as a thick black arrow, and the time during which the formazan formation is linear is shown as a pale brown shaded area. Note that oxygen concentration, incubation time and formazan concentration axes are different for each experiment.

Effect of INT on the oxygen consumption of Thalassiosira pseudonana CCMP1080/5 (A, B), Oxyrrhis marina CCMP1133/5 (C) and Pleurochrysis carterae PLY-406 (D, E) during time series incubations in the dark. The oxygen concentration (left hand y axis) of samples without INT (controls) is shown in black, and that of samples after addition of INT (final concentration 0.2 mM) in grey. The concentration of formazan is shown as open circles ± standard error on the right-hand y axis with the fitted exponential curve (dashed brown line). The time at which the decline in oxygen diverges between the INT treated samples and the controls is shown as a thick black arrow, and the time during which the formazan formation is linear is shown as a pale brown shaded area. Note that oxygen concentration, incubation time and formazan concentration axes are different for each experiment.

Effect of the cell wall on the oxygen consumption-INT reduction relationship

Overall, there was no oxygen consumption or INT reduction in the media controls as the 95% confidence interval included the null value (data available from the British Oceanographic Data Centre repository, www.bodc.ac.uk, short DOI doi:10/dd6z). This reassured us that the media were free of respiring organisms, and did not have the capacity to reduce INT, and therefore that the media did not contribute to the CRO2-INTR relationship. All cultures tested showed a significant relationship (p <0.05) between the oxygen consumed and the INT reduced, except Scrippsiella sp. RCC1720 (p >0.05) (Fig 4). Excluding Scrippsiella sp. RCC1720 from the analysis, there was no difference in the CRO2-INTR regression lines between the different species (ANCOVA test, F = 1.696, df = 3, p = 0.18). As there was no significant difference between the different cultures, we grouped all the culture data (except Scrippsiella sp. RCC1720) and calculated a single INTR to CRO2 conversion equation. The calculated conversion equation with data from the four organisms is: logCRO2 = 0.61logINTR + 0.62, R2 = 0.87, n = 49, p <0.001. Despite the lack of relationship between the CRO2-INTR paired data from Scrippsiella sp. RCC1720, 4 out of 9 of the data points from Scrippsiella sp. RCC1720 are within the 95% confidence interval of the regression line from the grouped culture data (Fig 4).
Fig 4

Log-log relationship between dissolved oxygen consumption (CRO2) and INT reduction (INTR) for the different cultures tested.

Thalassiosira pseudonana CCMP1080/5 in orange (n = 12), Emiliania huxleyi RCC1217 in blue (n = 13), Pleurochrysis carterae PLY-406 in cyan (n = 15), Scrippsiella sp. RCC1720 in green (n = 9) and Oxyrrhis marina CCMP1133/5 in purple (n = 10). The coloured dashed lines represent the Type I linear regression line for each culture. Note that Scrippsiella sp. RCC1720 does not have a regression line as the relationship between CRO2 and INTR was not significant (p >0.05). The grey shaded area represents the 95% confidence interval for the linear regression (black line) obtained with all the data except Scrippsiella sp. RCC1720.

Log-log relationship between dissolved oxygen consumption (CRO2) and INT reduction (INTR) for the different cultures tested.

Thalassiosira pseudonana CCMP1080/5 in orange (n = 12), Emiliania huxleyi RCC1217 in blue (n = 13), Pleurochrysis carterae PLY-406 in cyan (n = 15), Scrippsiella sp. RCC1720 in green (n = 9) and Oxyrrhis marina CCMP1133/5 in purple (n = 10). The coloured dashed lines represent the Type I linear regression line for each culture. Note that Scrippsiella sp. RCC1720 does not have a regression line as the relationship between CRO2 and INTR was not significant (p >0.05). The grey shaded area represents the 95% confidence interval for the linear regression (black line) obtained with all the data except Scrippsiella sp. RCC1720. In order to test the applicability of the results from our culture experiments to natural populations, we compared the results from the analysis performed in the previous section with the most recently published CRO2-INTR database for natural plankton populations [6]. There are differences in the methodology used between culture experiments and natural populations including the incubation time for the oxygen consumption technique. While for natural populations, oxygen consumption was measured over 24 hours, in the culture experiments the incubation time for oxygen consumption was usually shorter than 24 hours due to the higher respiration rates of the cultures (see Table 2 for incubation times). The rates of INT reduction measured in the culture experiments were within the range of variability measured in natural populations (0.0003–0.021 μmol INTf L-1 h-1). In addition, the rates of oxygen consumption in the cultures were generally within the upper limit of the range of variability measured in natural populations (0.004–0.94 μmol O2 L-1 h-1), except the oxygen consumption rates of Scrippsiella sp. RCC1720 which were 2-fold greater than the maximum rate of oxygen consumption measured in natural populations (Fig 5). All data obtained in the culture experiments lay above the regression line reported for the natural database (logCRO2 = 0.72logINTR + 0.44, R2 = 0.69, n = 249, p <0.001, [6], Fig 5). In addition, the conversion equation obtained from the culture experiments is significantly different to that of the natural database (Clarke test, t = 2.65, df = 444, p = 0.008). Our results indicate that oxygen consumption would be overestimated, by 1.5 to 3.5 fold, if the INTR to CRO2 conversion equation derived from the culture experiments was used to estimate oxygen consumption from INT reduction of a natural population instead of the INTR to CRO2 conversion equation derived from natural plankton.
Fig 5

Log-log linear regressions between dissolved oxygen consumption (CRO2) and INT reduction (INTR).

Coloured circles correspond to the cultured data and white circles correspond to the natural plankton database from [6]. Black solid and dashed lines represent the type I linear regressions for the cultured eukaryotes and natural database (logCRO2 = 0.72logINTR + 0.44 [6]), respectively. The grey shaded area represents the 95% confidence interval for the linear regression obtained with all the culture data except Scrippsiella sp. RCC1720.

Log-log linear regressions between dissolved oxygen consumption (CRO2) and INT reduction (INTR).

Coloured circles correspond to the cultured data and white circles correspond to the natural plankton database from [6]. Black solid and dashed lines represent the type I linear regressions for the cultured eukaryotes and natural database (logCRO2 = 0.72logINTR + 0.44 [6]), respectively. The grey shaded area represents the 95% confidence interval for the linear regression obtained with all the culture data except Scrippsiella sp. RCC1720.

Discussion

Exposure to INT is ultimately toxic [12] as the formation of the insoluble formazan deposits can lead to a reduction in the metabolic activity, and thus in oxygen consumption [12]. Our results confirm the toxic effects of INT, but as previously shown [6], the toxicity is not evident at short incubation times. The results from our culture experiments show, for the first time in several marine eukaryotes, that there was no difference between the oxygen consumption of a culture to which INT had been added and one without addition of INT during the time when the production of formazan remained linear. This observation was consistent for four different planktonic eukaryotic organisms (Thalassiosira pseudonana CCMP1080/5, Pleurochrysis carterae PLY-406, Scrippsiella sp. RCC1720 and Oxyrrhis marina CCMP1133/5) in the 11 experiments undertaken. The lack of difference in oxygen consumption between samples with and without addition of INT has only previously been reported for cultures of a marine haptophyte and a marine bacterium during ~1 hour of incubation [12] and in soil bacteria for ~4 hours [14]. Our results indicate that the incubation times used in our experiments, which were determined from time series incubations, were appropriate and that INT was not inhibiting the respiratory activity of the cells. Therefore, reinforcing previous work [6], the results show that INT reduction can be used as a proxy for plankton respiration when incubated for specifically determined short time periods. However, we cannot recommend a particular maximum incubation time and do not support the idea of a constant incubation time for the INT reduction method with natural plankton or eukaryotic cultures as other authors have suggested for prokaryotes [11]. The maximum incubation time (determined as the time after which INT had a negative effect on oxygen consumption) was not related to cell abundance or by implication to biomass alone. It was related to the respiratory activity of the sample (the combined effect of cell abundance and respiration per cell), being longer for samples with low respiration rates and shorter for samples with higher respiration rates. Eukaryotic plankton encompass a diverse range of organisms with distinctly different cell wall structures. Some organisms possess a silica frustule (diatoms), others plates composed of calcite (coccolithophorids) or cellulose thecae (dinoflagellates). One of the main assumptions of the INT reduction technique is that INT penetrates the cell wall and is reduced at the mitochondria at the same rate for all organisms whatever the cell wall composition. There is no systematic study of the reduction of INT by marine eukaryotes, but the evidence from prokaryotic studies [24, 25], and from the permeability of eukaryotic cell walls to different chemical compounds [18], and metals [17] challenge this assumption. However, we found no evidence to suggest that the characteristics of eukaryotic plankton cell walls have any effect on the capacity of INT to penetrate inside the cells. Experiments performed with four planktonic eukaryotic organisms characterized by different cell wall types showed similar oxygen consumption-INT reduction relationships. The only culture which did not show a significant relationship between INT reduction and oxygen consumption was Scrippsiella sp. RCC1720. This lack of relationship may simply be due to the small range of INT reduction and oxygen consumption rates measured in these culture experiments. However, ~50% of the paired CRO2-INTR Scrippsiella sp. RCC1720 data are within the 95% confidence interval of the linear regression calculated for the rest of the cultures. Therefore, although we have shown its ability to reduce INT and the lack of any toxic effects at short incubation times, we recommend caution in using this eukaryote CRO2-INTR conversion equation when working with thecate dinoflagellate cultures. The CRO2-INTR conversion equation obtained with the culture experiments differs from the most recent CRO2-INTR conversion equation derived from natural plankton populations [6]. However, it may be inappropriate to compare these two CRO2-INTR relationships as they are derived from different plankton populations: one is obtained from cultured planktonic eukaryotes growing exponentially in an enriched medium and the other is from natural plankton communities composed of a mixture of eukaryotes and prokaryotes at different stages of growth often under nutrient deplete conditions. In addition, differences could be due to biases in the INT reduction or oxygen consumption in the cultured experiments. On the one hand, INT reduction could have been influenced by the composition of the medium (f/2 or K/2). INT reduction of bacterial cultures is inhibited by metal ions (i.e. cobalt) [24], and can also be affected by pH and phosphate concentration [26, 27]. Our media contain trace metals, which may have interfered with the reduction of INT, resulting in a lower INT reduction rate in the cultured samples. On the other hand, the oxygen consumption of the cultures could be enhanced compared to natural plankton communities, as physiological rates (i.e. primary production and respiration) tend to be higher in cultured organisms than in natural populations [28, 29]. Such decreased INT reduction and/or increased oxygen consumption under culture conditions would result in the different culture versus natural population CRO2-INTR relationships seen here. Studies on the relationship between plankton respiration (R), measured by oxygen consumption, and the activity of the electron transport system (ETS), report analogous differences in the cultured versus natural R/ETS ratio, with an even greater offset than the 1.5 to 3.5 fold differences observed in this study [30], and references therein]. Whatever the causes of the differences in the CRO2-INTR conversion equation found in the culture experiments compared to natural populations, the future use of the INT reduction method to estimate plankton respiration should include whichever CRO2:INTR conversion equation is most relevant to the community being studied. Many phytoplankton organisms produce reactive oxygen species (ROS, e.g. O2-, H2O2), during aerobic metabolism [31]. These highly reactive compounds can act as reducing agents of tetrazolium salts [32]. The amount of ROS concentration inside the cells has been reported to increase in cultures under stress situations or nutrient deprivation conditions [32]. We did not measure the presence or the concentration of ROS in our experiments, and therefore we cannot infer whether there was any INT reduction by ROS species. The healthy and exponential growing conditions of our cultures suggest that the presence of ROS species inside the cells might have been low. We acknowledge that, to some degree, our INT reduction rates presented in this study and in García-Martín et al. [6] might be overestimated and we suggest caution in interpreting the results. However, due to the similar oxygen to INT relationships of the different organisms tested, we consider that the effect of ROS species in our experiments and during the maximum INT incubation time might have been minimal or constant. Future studies should test the influence of reactive oxygen species on the reduction of INT to quantify this potential bias.

Conclusions

This study validates our approach to determine the maximum incubation time as the time when the formazan formation ceases to be linear, confirms that the cells are not poisoned during our INT incubation times and contradicts the claim that INT toxicity invalidates the INT reduction method [12]. In addition, it demonstrates that the oxygen consumption–INT reduction relationship for eukaryotic plankton is not systematically affected by cell wall composition, and therefore, a single conversion equation between the moles of formazan produced and the moles of oxygen consumed can be used to estimate the respiration of natural populations of plankton. Oxygen concentration over time measured in dark incubations of Thalassiosira pseudonana CCMP1080/5 (A, B), Scrippsiella sp. RCC1720 (C, D), Pleurochrysis carterae PLY-406 (E, F) and Oxyrrhis marina CCMP1133/5 (G, H) cultures during the CRO2-INTR experiments. The oxygen concentration of samples without INT (controls) is shown in black, and that of samples after addition of 0.2 mM INT in grey. Plots D and G do not have samples with INT added due to optode sensor failure. The incubation time for the oxygen incubations measured with Winkler titrations is shown as a light blue shaded area and the incubation time for the INT reduction method as a blue dashed box. Note the linear trend in the oxygen consumption during the incubation time for the Winkler discrete samples, and the lack of any difference between the oxygen consumption with and without addition of INT. Note that the oxygen concentrations and time intervals are different for each culture experiment. (TIF) Click here for additional data file. 16 Oct 2019 PONE-D-19-27198 INT reduction is a valid proxy for eukaryotic plankton respiration despite the inherent toxicity of INT and differences in cell wall structure PLOS ONE Dear Dr Garcia-Martin, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. We would appreciate receiving your revised manuscript by Nov 30 2019 11:59PM. When you are ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. 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Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: No ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The work described in this manuscript addresses the important issue of the validity of the INT method to estimate respiration. The experiments were well planned, well conducted and well interpreted. However, a number of points need attention. Lines 32-33. A quantitative comparison is required of the times needed to get an estimate of respiration for the two methods. Lines 37-40. Does this toxic effect include alteration to the function of the plasma membrane? Line 44. ‘a marine bacterium’ (‘bacteria’ is the plural). Line 51. A salt is, by definition, composed of a cation and an anion. Replace by ‘INT is a cell permeable cation [15]…..’. Line 54. Prokaryotic plankton organisms, e.g. cyanobacteria, do have a cell wall, defined as structure outside the plasma membrane that can resist turgor (e.g. Walsby 1973 Limnology and Oceanography 18: 653-658; Ladas and Papageorgiou 2000 Photosynthesis Research 65: 155-164) Lines 58-59. Clarify ‘intracellular diffusion’. To me, intracellular means ‘within the cell’. The implication here seems to be the diffusion into, not within, the cell. Line 71. See my comment on Line 54. Are the cell coverings of the two coccolithophores and the two dinoflagellates turgor resistant? See Sikes and Wilbur 1982 Limnology and Oceanography 27: 18-26. Line 80. ‘were’, not ‘was’; ‘media’ is plural. Line 394. These references do not adequately distinguishing adsorptionon extracellular structures and entry into the cell. For the uptake of essential trace metal uptake into eukaryotic marine microalgal cells, there is a large body of information from the laboratory of F M M Morel in Princeton NJ. For the organic compound NADH, the permeability of the cell wall of chlorophytan freshwater microalgae depends on the presence or absence of a sporopollenin layer in the cell wall (Syrett and Thomas 1973 New Phytologist 72: 1307-1310). Lines 396-398. Is there any mechanistic basis for the allocation of electrons between the reduction of INT and the reduction of oxygen? Reviewer #2: In this paper the authors report on the use of the tetrazolium salt INT to determine respiration rates in microalgal cultures. The use of INT is well established as a mechanism to estimate electron transport activity but the present paper has the novelty of careful attention to the effects of time of incubation and potential toxicity on apparent rates of respiratory activity. As such it does represent a useful contribution to the literature. However there are a number of issues that require attention before the manuscript is suitable for publication. line 29: I would hardly call use of INT 'recent' as its use as a measure of respiratory electron transport goes back a long way (Ted Packard proposed this in his 1971 paper as did Kenner, R.A. & Ahmed, S.I. Marine Biology (1975) 33: 119 for microalgae and Owens, T.G. & King, F.D. Mar. Biol. (1975) 30: 27. for zooplankton). line 58: I am not convinced about the arguments that different cell wall structures represent a major barrier to the entry of INT. For metals at least the cell wall components act less as a permeability barrier than a binding site for ions . The plasmalemma would be more of a barrier to transport of a changed molecule such as INT into the cell. line 79: Here and elsewhere 'media' is the plural of medium, so only use this (with 'were' ) if you used more than one type of medium line 85: At what stage of growth were these cultures at the time of the experiments?This is important if experiments were done over 2 days as physiological characteristics can change rapidly in batch cultures. There is a brief reference to exponential stage cultures in the Discussion but this needs to be better defined early on. lines 89/90: which type of PAM? Walz make lots of different forms of the instrument. More details such as saturating pulse intensity are needed line 102-105: this looks like pseudoreplication rather than the use of independent biological replicates. Please clarify. lines 122-123: Consider showing the equation for the 3-parameter ‘exponential increase to a limit’ function lines 208-9: This is fair enough as an estimate of steady state dark respiration, but how does this relate to the fact that respiration rates immediately after a light exposure can be up to x10 those at steady state in the dark? See e.g. Beardall et al a994 Journal of Plankton Research Vol.16 no.10 pp. 1401 -1410. This is also relevant to the Discussion. line 366: Stating this is 'for the first time' is not strictly accurate given the mention to reference 12 cited below (line 374) line 386: choice of incubation time is further complicated by the enhanced post illumination respiration shown by many phytoplankton species (see comment above) Reviewer #3: The manuscript "INT reduction is a valid proxy for eukaryotic plankton respiration despite the inherent toxicity of INT and differences in cell wall structure" focuses on an alternate method for measuring plankton respiration with the help of INT. Overall the manuscript is well written and has applicable objective, however the authors would need to address the following concerns: 1. Tetrazolium salts can also be reduced by reactive oxygen species in the cell, therefore if the plankton is under oxidative stress, use of this technique can lead to over-estimation of the respiratory rates. The authors need to either compare the reduction of INT in the presence and absence of oxidative stress or at least discuss the possibility of interference by ROS and advise caution with the interpretation. 2. Fig. 3 shows extreme variation in results even within the same species, for example the oxygen consumption patterns are very different between the two figures of T. pseudonana. This suggest extreme variability in this method, not just between species but within the same species. Can the authors provide an explanation for this? Also, it looks like E. huxleyi and Scrippsella sp. were excluded from this measurement, is there a particular reason? 3. Measurement of respiration with the help of Clark-type oxygen electrode usually takes about 10-15 mins? How does the authors just the use of INT as a better way to measure respiration? Moreover, the authors themselves have used optodes to compare the INT measurements. What advantages does INT measurements have over clark type electrodes and optodes? Consider discussing this in terms of cost, time, and sample volume? ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No Reviewer #3: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files to be viewed.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org. Please note that Supporting Information files do not need this step. 31 Oct 2019 Journal Requirements: 1. When submitting your revision, we need you to address these additional requirements. The manuscript meets PLOS ONE’s requirements 2. In order to enhance reproducibility, please clarify the origin of the strains used, and provide any further details available on the origin and composition of the seawater used. More information on the origin of the strains and seawater are provided (lines 75-81 and lines 84-86). 3. Our internal editors have looked over your manuscript and determined that it may be within the scope of our Life in Extreme Environments Call for Papers. The Collection will encompass a diverse range of research articles to better understand life and biogeochemistry in extreme environments. Additional information can be found on our announcement page: https://collections.plos.org/s/extreme-environments. If you would like your manuscript to be considered for this collection, please let us know in your cover letter and we will ensure that your paper is treated as if you were responding to this call. If you would prefer to remove your manuscript from collection consideration, please specify this in the cover letter. Thank you for the offer to include the manuscript in the “Life in Extreme Environments” Call. We consider that this study does not address any of the topics proposed in the call. Our study deals with eukaryotic plankton grown in healthy, nutrient rich, non hostile conditions. 4. We note that you have stated that you will provide repository information for your data at acceptance. Should your manuscript be accepted for publication, we will hold it until you provide the relevant accession numbers or DOIs necessary to access your data. If you wish to make changes to your Data Availability statement, please describe these changes in your cover letter and we will update your Data Availability statement to reflect the information you provide. All data have been sent to BODC on the 28th October 2019. I have been notified that they will need two weeks to process the data and provide a DOI for it. I will forward it to the journal as soon as I have it. 5. We note that you have included the phrase “data not shown” in your manuscript. Unfortunately, this does not meet our data sharing requirements. PLOS does not permit references to inaccessible data. We require that authors provide all relevant data within the paper, Supporting Information files, or in an acceptable, public repository. Please add a citation to support this phrase or upload the data that corresponds with these findings to a stable repository (such as Figshare or Dryad) and provide and URLs, DOIs, or accession numbers that may be used to access these data. Or, if the data are not a core part of the research being presented in your study, we ask that you remove the phrase that refers to these data. All data have been sent to BODC repository and a DOI number will be inserted upon reception ___________ Response to Reviewers We are happy to read that the reviewers share our opinion that the manuscript contributes to the existing literature. We would like to thank the three reviewers for their comments and suggestions for additional references, which has helped to improve the manuscript. All the points have been dealt with in the text and new references have been included. These changes are indicated in our responses below specifying the lines in the latest submitted manuscript (after track changes). We have also addressed additional journal requirements. Reviewer #1: The work described in this manuscript addresses the important issue of the validity of the INT method to estimate respiration. The experiments were well planned, well conducted and well interpreted. However, a number of points need attention. Lines 32-33. A quantitative comparison is required of the times needed to get an estimate of respiration for the two methods. We have indicated (lines 32-33) that the incubation time for the INT method is from minutes to hours, while for the Winkler titration method is usually 24 h. Lines 37-40. Does this toxic effect include alteration to the function of the plasma membrane? As far as we are aware, reports of the toxicity of INT and other tetrazolium salts, are based on the inhibition of bacterial growth (Coallier et al. 1994 Can J Microbiol 40:830-836, Hatzinger et al. 2003 J Microbiol Meth 52: 47– 58, Ullrich et al. 1996 Appl Environ Microbiol, 62: 4587–4593), inhibition of oxygen consumption (Villegas-Mendoza et al. 2015, Ullrich et el. 1996), and inhibition of other metabolic activities (Ullrich et al. 1996). There is no mention in the literature of any alteration to the function of the plasma membrane. Line 44. ‘a marine bacterium’ (‘bacteria’ is the plural). Corrected (line 43). Line 51. A salt is, by definition, composed of a cation and an anion. Replace by ‘INT is a cell permeable cation [15]…..’. Corrected (line 50). Line 54. Prokaryotic plankton organisms, e.g. cyanobacteria, do have a cell wall, defined as structure outside the plasma membrane that can resist turgor (e.g. Walsby 1973 Limnology and Oceanography 18: 653-658; Ladas and Papageorgiou 2000 Photosynthesis Research 65: 155-164). Corrected. We have changed this sentence to focus only on the diversity of eukaryotic plankton cell wall composition (line 53). Lines 58-59. Clarify ‘intracellular diffusion’. To me, intracellular means ‘within the cell’. The implication here seems to be the diffusion into, not within, the cell. We have modified the sentence to indicate that the diffusion is into the cells (line 57). Line 71. See my comment on Line 54. Are the cell coverings of the two coccolithophores and the two dinoflagellates turgor resistant? See Sikes and Wilbur 1982 Limnology and Oceanography 27: 18-26. Unfortunately, we cannot comment on the turgor resistance of the species. We did not check the turgor pressure or the osmotic properties of any of the cultures, so we cannot respond to the reviewer with any certainty. From our results with the calcified and noncalcified organisms, we can indicate that the coccosphere of the calcified organisms seems to not affect diffusion into the cell, as the relationship between oxygen consumption and INT reduction was similar for the two species. If the coccosphere were negatively affecting diffusion into the cell, then there should be a different slope between the CRO2 and INTR, assuming that once inside the cell, the INT has a similar behaviour. The study of the similar or different CRO2 – INTR relationship is one of the main objectives of this study as it will indicate whether a single moles of INT to moles of oxygen conversion equation is adequate for all natural plankton populations which encompass a mixture of different eukaryotic organisms. Line 80. ‘were’, not ‘was’; ‘media’ is plural. Corrected in several part of the manuscript (lines 112, 167, 171, 174, 202, 427). Line 394. These references do not adequately distinguishing adsorptionon extracellular structures and entry into the cell. For the uptake of essential trace metal uptake into eukaryotic marine microalgal cells, there is a large body of information from the laboratory of F M M Morel in Princeton NJ. For the organic compound NADH, the permeability of the cell wall of chlorophytan freshwater microalgae depends on the presence or absence of a sporopollenin layer in the cell wall (Syrett and Thomas 1973 New Phytologist 72: 1307-1310). Thank you for the reference suggested. We now refer to these studies as the reviewer suggests (lines 57 and 406). Lines 396-398. Is there any mechanistic basis for the allocation of electrons between the reduction of INT and the reduction of oxygen? Four electrons are needed to reduce one mol of oxygen while only 2 electrons are needed for a mol of INT, but we are not aware of any mechanistic basis for the allocation of electrons between the INT and the oxygen. We are currently studying the enzymes involved in the INT reduction method with several marine plankton microorganisms in order to better understand the reduction of the INT by the ETS and other intracellular compounds. We may be able to answer this question in the future. Reviewer #2: In this paper the authors report on the use of the tetrazolium salt INT to determine respiration rates in microalgal cultures. The use of INT is well established as a mechanism to estimate electron transport activity but the present paper has the novelty of careful attention to the effects of time of incubation and potential toxicity on apparent rates of respiratory activity. As such it does represent a useful contribution to the literature. However there are a number of issues that require attention before the manuscript is suitable for publication. line 29: I would hardly call use of INT 'recent' as its use as a measure of respiratory electron transport goes back a long way (Ted Packard proposed this in his 1971 paper as did Kenner, R.A. & Ahmed, S.I. Marine Biology (1975) 33: 119 for microalgae and Owens, T.G. & King, F.D. Mar. Biol. (1975) 30: 27. for zooplankton). This sentence has been changed and now it says: “Several studies have proposed…” (line 28). line 58: I am not convinced about the arguments that different cell wall structures represent a major barrier to the entry of INT. For metals at least the cell wall components act less as a permeability barrier than a binding site for ions . The plasmalemma would be more of a barrier to transport of a changed molecule such as INT into the cell. There is evidence that the cell wall can be a physical barrier to different molecules (ref 17). In addition, there are studies that reported a lack, or low, INT reduction by specific organisms and suggested differences in the cell wall as one of the possible causes (Thom et al. 1993 J. Applied Bacteriol 74:433-443). We considered that if true, this could create a bias when applying the method to a natural mixed plankton population. We agree with the reviewer that the plasmalemma could also be another barrier. Nevertheless, the significant similarities between the CRO2 – INTR regression lines for each culture suggest that the INT penetrates and it is reduced at a similar rate in the organisms tested. line 79: Here and elsewhere 'media' is the plural of medium, so only use this (with 'were' ) if you used more than one type of medium. The text has been corrected accordingly (line 81). line 85: At what stage of growth were these cultures at the time of the experiments? This is important if experiments were done over 2 days as physiological characteristics can change rapidly in batch cultures. There is a brief reference to exponential stage cultures in the Discussion but this needs to be better defined early on. As indicated in line 100, the experiments were done in exponential growth phase during both days (day 1: maximum incubation time experiments and day 2: oxygen consumption-INT reduction). lines 89/90: which type of PAM? Walz make lots of different forms of the instrument. More details such as saturating pulse intensity are needed We have added more information about the Phyto-PAM equipment. Now it reads: “The Fv/Fm ratio of the cultures was measured with a Walz PHYTO-PAM Phytoplankton Analyzer fluorometer (Walz, Effelrich, Germany) after cultures were kept for 10 minutes in the dark. The pulse amplitude modulated fluorescence measurements were completed at high repetition rates at four excitation wavelengths (470, 520, 645 and 665 nm). The intensity of the measuring light was 64 μmol quanta m-2 s-1, and the saturating pulse was supplied at the maximum level specified by the Phyto-PAM (intensity level 10) at a pulse of 500 ms.” (Lines 93-99) line 102-105: this looks like pseudoreplication rather than the use of independent biological replicates. Please clarify. The maximum incubation time experiment was done with one cubitainer so there were no biological replicates. Experimental triplicate bottles were taken for each incubation time. We acknowledge that biological replicates would be ideal but the complexity of our experiments precludes this. Each maximum incubation time experiment, as designed here or in other studies (García-Martín et al. 2019, Martínez-García et al. 2009), implies around 14 hours of work. Our main concern was to perform the maximum incubation time experiment as close to the oxygen - INT reduction experiment as possible. To achieve this, we could not perform biological replicates. lines 122-123: Consider showing the equation for the 3-parameter ‘exponential increase to a limit’ function The equation has been added (line 132). lines 208-9: This is fair enough as an estimate of steady state dark respiration, but how does this relate to the fact that respiration rates immediately after a light exposure can be up to x10 those at steady state in the dark? See e.g. Beardall et al a994 Journal of Plankton Research Vol.16 no.10 pp. 1401 -1410. This is also relevant to the Discussion. The reviewer is correct when he/she says that there is evidence of an enhancement of respiration following a period of light illumination and that this could bias the respiration rates measured in natural populations over 24 hours, or the respiration measurements from cultures after the light incubation period. Our measurements of respiration are dark respiration: the subsampling was done at the end of the dark cycle and the cells were maintained in dark during all the different processes (similar to a pre-dawn sampling with natural populations). From our results, we have no information regarding the possible stimulation of respiration after the exposure of cells to light. Based on this, we have not included any speculation in the discussion section to as not to distract from the main conclusions: INT did not negatively affect the oxygen consumption when incubated at short incubation times, and there was a similar oxygen consumption – INT reduction relationship for eukaryotic plankton with different cell walls. line 366: Stating this is 'for the first time' is not strictly accurate given the mention to reference 12 cited below (line 374). Our work is the first to show with different marine eukaryotes that there was no difference between the oxygen consumption of a culture with and without INT during the time when the production of formazan remained linear. Villegas-Mendoza et al. 2015 showed no toxicity (change in the oxygen consumption rate) with only one eukaryotic organism in one experiment, but there was no concurrent estimation of the formazan production. line 386: choice of incubation time is further complicated by the enhanced post illumination respiration shown by many phytoplankton species (see comment above). We agree with the reviewer. Our results indicate that the choice of the incubation time for the INT reduction methodology depends not on the cell biomass, but on the activity of the sample, and that it is important to calculate the maximum INT incubation time to prevent biased the measurements. Reviewer #3: The manuscript "INT reduction is a valid proxy for eukaryotic plankton respiration despite the inherent toxicity of INT and differences in cell wall structure" focuses on an alternate method for measuring plankton respiration with the help of INT. Overall the manuscript is well written and has applicable objective, however the authors would need to address the following concerns: 1. Tetrazolium salts can also be reduced by reactive oxygen species in the cell, therefore if the plankton is under oxidative stress, use of this technique can lead to over-estimation of the respiratory rates. The authors need to either compare the reduction of INT in the presence and absence of oxidative stress or at least discuss the possibility of interference by ROS and advise caution with the interpretation. We are afraid we cannot quantify the proportion of INT reduced by ROS as we did not estimate the reduction of INT in the presence and absence of oxidative stress. We have commented on the possibility of biases due to the presence of ROS in the text and have suggest caution in interpreting the results (lines 444-457). 2. Fig. 3 shows extreme variation in results even within the same species, for example the oxygen consumption patterns are very different between the two figures of T. pseudonana. This suggest extreme variability in this method, not just between species but within the same species. Can the authors provide an explanation for this? Also, it looks like E. huxleyi and Scrippsella sp. were excluded from this measurement, is there a particular reason? We agree with the reviewer that there are different patterns for the oxygen consumption between species and within the same species, for example T. pseudonana. The two examples in Figure 3 are from different experiments with different cell abundances and different respiration rates. Different trends in oxygen consumption estimated with oxygen sensors have been previously reported (Wikner et al. 2013 L&O: methods 11: 1-15, Briand et al. 2004 L&O: methods 2: 406-416) which indicate that dark respiration does not always follow a linear decrease. However, there was a linear decrease during the incubation time employed for the estimation of the oxygen consumption by Winkler, and therefore, our oxygen consumption results should not be biased by a non-linear trend. This is indicated in lines 241-246. We are afraid we cannot provide any oxygen consumption data measured with the optodes during E. huxleyi experiments. There was a reaction between the metallic needle of the optode and the medium, which precluded accurate measurements. The optode sensors were returned to the manufacturer for servicing and re-coating with a non-reactive film. The optodes were not available for the INT maximum incubation time experiments with Scrippsiella sp. 3. Measurement of respiration with the help of Clark-type oxygen electrode usually takes about 10-15 mins? How does the authors just the use of INT as a better way to measure respiration? Moreover, the authors themselves have used optodes to compare the INT measurements. What advantages does INT measurements have over clark type electrodes and optodes? Consider discussing this in terms of cost, time, and sample volume? The reviewer is correct when he/she comments that Clarke type electrodes and oxygen optodes are sensors that can provide oxygen concentration measurements in short periods of times (0.5-2 hours). However, despite their fast response, they still have limitations regarding the response time needed when applied to low plankton respiration rates (~ 0.5 μmol L-1 d-1 as occurs in open ocean oligotrophic environments). In these situations, the time needed to record the change is longer, and always longer than the time needed for the incubation in the INT reduction technique. Advantages of the INT technique (as mentioned in lines 31-35) over optodes and electrodes include sensitivity and the ability to determine the respiration of size classes of the plankton community without pre-incubation filtration. We do not agree that a detailed comparison of the different methods used to estimate plankton respiration (oxygen consumption of an incubated water sample measured by Winkler and oxygen sensors; in vitro ETS activity and INT reduction and 14CO2 production during incubations with 14C labelled compounds) in terms of cost, time and sample volume is appropriate in this manuscript. We would prefer to focus on the two conclusions: INT did not negatively affect the oxygen consumption when incubated at short incubation times, and there was a similar oxygen consumption – INT reduction relationship for eukaryotic plankton with different cell walls. 18 Nov 2019 INT reduction is a valid proxy for eukaryotic plankton respiration despite the inherent toxicity of INT and differences in cell wall structure PONE-D-19-27198R1 Dear Dr. Garcia-Martin, We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements. Within one week, you will receive an e-mail containing information on the amendments required prior to publication. When all required modifications have been addressed, you will receive a formal acceptance letter and your manuscript will proceed to our production department and be scheduled for publication. Shortly after the formal acceptance letter is sent, an invoice for payment will follow. To ensure an efficient production and billing process, please log into Editorial Manager at https://www.editorialmanager.com/pone/, click the "Update My Information" link at the top of the page, and update your user information. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, you must inform our press team as soon as possible and no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. With kind regards, Antonietta Quigg, PhD Academic Editor PLOS ONE Additional Editor Comments (optional): In submitting the final manuscript, please consider inserting, as appropriate, additional parts of your responses to the reviewers concerns. for example it will be helpful for readers to know why you had no biological controls, the issues with the optodes and why some data is missing, etc... in each case... a carefully placed sentence in the methods and results could further enhance the paper. 2 Dec 2019 PONE-D-19-27198R1 INT reduction is a valid proxy for eukaryotic plankton respiration despite the inherent toxicity of INT and differences in cell wall structure Dear Dr. Garcia-Martin: I am pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. For any other questions or concerns, please email plosone@plos.org. Thank you for submitting your work to PLOS ONE. With kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Antonietta Quigg Academic Editor PLOS ONE
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1.  Studies of marine planktonic diatoms. I. Cyclotella nana Hustedt, and Detonula confervacea (cleve) Gran.

Authors:  R R GUILLARD; J H RYTHER
Journal:  Can J Microbiol       Date:  1962-04       Impact factor: 2.419

2.  Sites of electron transfer to tetrazolium salts in the succinoxidase system.

Authors:  M M NACHLAS; S I MARGULIES; A M SELIGMAN
Journal:  J Biol Chem       Date:  1960-09       Impact factor: 5.157

3.  Coupling Between Rates of Bacterial Production and the Abundance of Metabolically Active Bacteria in Lakes, Enumerated Using CTC Reduction and Flow Cytometry

Authors: 
Journal:  Microb Ecol       Date:  1997-09       Impact factor: 4.552

4.  Applicability of tetrazolium salts for the measurement of respiratory activity and viability of groundwater bacteria.

Authors:  Paul B Hatzinger; Patrick Palmer; Richard L Smith; Cecilia T Peñarrieta; Tadashi Yoshinari
Journal:  J Microbiol Methods       Date:  2003-01       Impact factor: 2.363

Review 5.  Tetrazolium dyes as tools in cell biology: new insights into their cellular reduction.

Authors:  Michael V Berridge; Patries M Herst; An S Tan
Journal:  Biotechnol Annu Rev       Date:  2005

6.  Effects of substrates and phosphate on INT (2-(4-iodophenyl)-3-(4-nitrophenyl)-5-phenyl tetrazolium chloride) and CTC (5-cyano-2,3-ditolyl tetrazolium chloride) reduction in Escherichia coli.

Authors:  J J Smith; G A McFeters
Journal:  J Appl Bacteriol       Date:  1996-02

7.  A fluorescent redox dye. Influence of several substrates and electron carriers on the tetrazolium salt-formazan reaction of Ehrlich ascites tumour cells.

Authors:  J Stellmach; E Severin
Journal:  Histochem J       Date:  1987-01

8.  Measurement of Electron Transport System (ETS) activity in soil.

Authors:  J T Trevors; C I Mayfield; W E Inniss
Journal:  Microb Ecol       Date:  1982-10       Impact factor: 4.552

9.  Production of Superoxide in Bacteria Is Stress- and Cell State-Dependent: A Gating-Optimized Flow Cytometry Method that Minimizes ROS Measurement Artifacts with Fluorescent Dyes.

Authors:  Megan E McBee; Yok H Chionh; Mariam L Sharaf; Peiying Ho; Maggie W L Cai; Peter C Dedon
Journal:  Front Microbiol       Date:  2017-03-21       Impact factor: 5.640

10.  The Chemical Transformation of the Cellular Toxin INT (2-(4-Iodophenyl)-3-(4-Nitrophenyl)-5-(Phenyl) Tetrazolium Chloride) as an Indicator of Prior Respiratory Activity in Aquatic Bacteria.

Authors:  Josué Villegas-Mendoza; Ramón Cajal-Medrano; Helmut Maske
Journal:  Int J Mol Sci       Date:  2019-02-12       Impact factor: 5.923

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