Literature DB >> 24058817

Reduced muscle contraction and a relaxed posture during sleep-like Lethargus.

Juliane Schwarz1, Jan-Philipp Spies, Henrik Bringmann.   

Abstract

Sleep is characterized by reduced muscle activity resulting in reduced movement and a typical posture compatible with relaxed muscles. Prior to each molt, C. elegans larvae go through a phase of behavioral quiescence called Lethargus. Lethargus has sleep-like properties, but a specific posture has not yet been described. Do C. elegans larvae relax their muscles during sleep and do they assume a typical posture? We measured worm posture and body wall muscle activity using calcium imaging across the sleep-wake-like cycle. We found that worms were less curved and had less muscle activity during the sleep-like state. We conclude that during Lethargus, muscle activity is reduced, resulting in a relaxed body posture typical for a sleep-like state.

Entities:  

Keywords:  GCaMP; Lethargus; calcium; muscle; posture; sleep

Year:  2012        PMID: 24058817      PMCID: PMC3670164          DOI: 10.4161/worm.19499

Source DB:  PubMed          Journal:  Worm        ISSN: 2162-4046


Sleep-like states occur in the lives of all animals carefully studied. Sleep-like states are defined by an increased arousal threshold, reversibility, homeostasis, reduced movement, and a typical body posture., Whereas wake postures are often supported by skeletal muscle, sleep postures need to be compatible with relaxed body muscles. Typically, sleep postures fit the substrate the animal is sleeping on. As a result, sleep postures are species-specific and variable. In mammals, the electromyogram is often used to measure muscle relaxation during sleep. Muscle contraction is caused by cytosolic calcium and genetically encoded fluorescent calcium sensors can be used to measure muscle calcium and thus muscle activity. C. elegans larvae proceed through four larval stages until they reach adulthood. At the end of each stage, worms molt. Prior to ecdysis, worms display a behavioral quiescence called Lethargus, which has sleep-like properties, such as an increased arousal threshold, reversibility and homeostasis. However, a sleep-specific posture or reduced muscle calcium have not been described. Here we show that C. elegans has reduced muscle activity during Lethargus and assumes a relaxed posture during this sleep-like state. We wanted to know whether C. elegans larvae relax their muscles and assume a sleep-specific posture during Lethargus. We generated transgenic worms expressing the calcium sensor GCaMP3.35 in striated body wall muscles., We cultured larval worms inside agarose hydrogel microcompartments from the first to the second larval stage. Every ten minutes, we measured movement, posture and muscle calcium. To do this, we first filmed worms using bright-field imaging to identify the non-pumping phase. Then, widefield fluorescence images were taken to record movement, worm shape and calcium sensor intensities (Fig. 1A). We identified sleep-like states based on feeding activity and nose speed. During the non-feeding phase, worms movement was lowered by 79% (Mean nose speed wake-like state: 12.1 ± 0.6 µm/s, sleep-like state: 2.7 ± 0.3 µm/s, p < 0.001, n = 15 worms; Fig. 1B). C. elegans moves in a sinusoidal locomotive pattern and typically assumes a curved posture. The curvature of the worm can be quantified by measuring the angle change between consecutive linear segments fitted along the axis of the worm., We found that the angle change was 19.5% less during the sleep-like state in comparison to the wake-like state (angle change wake-like state: 0.193 ± 0.005 rad, sleep-like state: 0.165 ± 0.008 rad, p < 0.001, n = 15 worms; Fig. 1C).
Figure 1.

Reduced movement, body curvature, and muscle activity during sleep-like Lethargus. (A) Time-lapse images showing the microcompartment including the entire worm during wake-like state (top) and sleep-like state (bottom). The bright signal is derived from the body wall muscle and reflects calcium intensities. (B) Motility is reduced during C. elegans sleep-like state. We measured averaged nose speed. (C) Reduced curvature during C. elegans sleep-like state. We measured angle change along the long axis of the worm. (D) Reduced muscle activity during C. elegans sleep-like state. We measured GCaMP3.35 intensity. Error bars are SEM n = 15 worms. In the plots, wake-like state is colored red and sleep-like state is colored blue. Individual worms were aligned by the start of Lethargus as defined by cessation of pumping.

Reduced movement, body curvature, and muscle activity during sleep-like Lethargus. (A) Time-lapse images showing the microcompartment including the entire worm during wake-like state (top) and sleep-like state (bottom). The bright signal is derived from the body wall muscle and reflects calcium intensities. (B) Motility is reduced during C. elegans sleep-like state. We measured averaged nose speed. (C) Reduced curvature during C. elegans sleep-like state. We measured angle change along the long axis of the worm. (D) Reduced muscle activity during C. elegans sleep-like state. We measured GCaMP3.35 intensity. Error bars are SEM n = 15 worms. In the plots, wake-like state is colored red and sleep-like state is colored blue. Individual worms were aligned by the start of Lethargus as defined by cessation of pumping. We then used GCaMP3.35 imaging to measure muscle activity. A basal GCaMP3.35 signal was always visible in all body wall muscles. In the wake-like state, some body wall muscle areas showed a strong increase (about 65%) in GCaMP3.35 intensity. These areas of increased intensity usually occurred at the contracting side of a body bend. During the sleep-like state, local GCaMP3.35 increases were rare and the GCaMP3.35 signal appeared more even along the body wall muscles (Fig. 1A). The overall GCaMP3.35 signal increased linearly over time along with the growth of the animal. However, during the sleep-like state, the GCaMP3.35 signal declined by 9% (GCaMP3.35 intensity wake-like state: 1090 ± 44, sleep-like state: 991 ± 43, p < 0.001, n = 15 worms; Fig. 1D). Taken together, these results show that C. elegans larvae relax their body wall muscles during sleep-like Lethargus resulting in a less curved posture typical for the sleep-like state. Because a sleep-specific posture is a defining criterion for sleep-like states this result corroborates the idea that Lethargus is a sleep-like state.

Experimental Methods

Strains and worm maintenance

C. elegans was maintained on NGM plates as described. The following strain was used: HBR4: goeIs3[pmyo-3::GCamP3.35::unc-54–3′utr, unc-119(+)]V.

GCaMP3.35 calcium indicator

We used the green fluorescent protein calcium indicator GCaMP3.35 as described previously.

Imaging and image analysis

Worms were cultured in hydrogel agarose microcompartments. Imaging was performed on a Nikon TiE microscope equipped with hardware autofocus (Perfect Focus System). XY scans were performed with a Prior Scientific Proscan Stage. For fluorescence microscopy, samples were illuminated with LED (490nm, CoolLED) and imaged with standard light filters (Chroma or Semrock). Images were acquired using an iXon Camera (Andor). Camera and microscope were controlled with iQ software (Andor). Muscle activity was measured at an interval of 10 minutes. Measurement consisted of first a brightfield movie to see pumping. Then 30 pictures at an interval of 200 ms were taken to measure GCaMP3.35 fluorescence. Nose speed was measured manually at an interval of one second and was averaged for each time point. We determined mean intensity of GCaMP3.35 and angle change at every time point.

Angle change

We used a semiautomatic method for determination of the midline of the worm from fluorescence images. Automatic determination of the skeleton: To extract the midline automatically, the outline of the nematode was determined using a “Canny-Edge” algorithm. We used parameters as follows: σ = 3px, T1 = 0.03; T2 = 0.2. Edge segments shorter than five pixels or corresponding to the border of the microcompartment were discarded using a custom written program. We dilated the obtained outline by a spherical element of 20 pixels diameter and used a thinning operation to obtain the midline. We manually checked that the midline was correctly identified. In 26% of the images the algorithm did not produce a correct result. This mainly occurred when the worm was touching itself. If the result was not correct we manually determined the midline: We manually placed 20 to 30 points along the midline of the worm using a custom written MATLAB routine that recorded the position of mouse clicks on a fluorescence image. We then identified intermediate pixel positions linking the clicked points linearly using the Bresenham’s line algorithm. Angle change along the midline of the nematode was computed using a custom MATLAB routine that divided the midline into 20 equal segments. Then, the routine approximated each segment by a line linking its endpoints to obtain a polygonal chain, and calculated the local angle change Θi between two consecutive segments as Θi = arc tan((yi+2-yi+1)/(xi+2-xi+1)) – arc tan((yi+1-yi)/(xi+1-xi)), with xi,yi: pixel values of beginng of ith line segment. The angle change for one polygonal chain was defined as the mean value of the local angle change values Θi: Θ: = mean(Θi).

Statistical tests and data display

For each worm, all data points during the sleep-like state were averaged and 15 time points before the sleep-like state were averaged. For all statistical tests, Wilcoxon Signed Rank Tests were performed using Origin software. For displaying the micrograph we applied false colors to the grayscale image with the standard color map “jet” in Matlab.
  13 in total

Review 1.  The need for a simple animal model to understand sleep.

Authors:  J C Hendricks; A Sehgal; A I Pack
Journal:  Prog Neurobiol       Date:  2000-07       Impact factor: 11.685

2.  The structure of the ventral nerve cord of Caenorhabditis elegans.

Authors:  J G White; E Southgate; J N Thomson; S Brenner
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1976-08-10       Impact factor: 6.237

3.  Using machine vision to analyze and classify Caenorhabditis elegans behavioral phenotypes quantitatively.

Authors:  Joong-Hwan Baek; Pamela Cosman; Zhaoyang Feng; Jay Silver; William R Schafer
Journal:  J Neurosci Methods       Date:  2002-07-30       Impact factor: 2.390

4.  The dauerlarva, a post-embryonic developmental variant of the nematode Caenorhabditis elegans.

Authors:  R C Cassada; R L Russell
Journal:  Dev Biol       Date:  1975-10       Impact factor: 3.582

5.  Reduced activity of a sensory neuron during a sleep-like state in Caenorhabditis elegans.

Authors:  Juliane Schwarz; Ines Lewandrowski; Henrik Bringmann
Journal:  Curr Biol       Date:  2011-12-20       Impact factor: 10.834

6.  A computational approach to edge detection.

Authors:  J Canny
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  1986-06       Impact factor: 6.226

7.  Animal sleep: a review of sleep duration across phylogeny.

Authors:  S S Campbell; I Tobler
Journal:  Neurosci Biobehav Rev       Date:  1984       Impact factor: 8.989

8.  Optical imaging of calcium transients in neurons and pharyngeal muscle of C. elegans.

Authors:  R Kerr; V Lev-Ram; G Baird; P Vincent; R Y Tsien; W R Schafer
Journal:  Neuron       Date:  2000-06       Impact factor: 17.173

9.  The genetics of Caenorhabditis elegans.

Authors:  S Brenner
Journal:  Genetics       Date:  1974-05       Impact factor: 4.562

10.  Imaging neural activity in worms, flies and mice with improved GCaMP calcium indicators.

Authors:  Lin Tian; S Andrew Hires; Tianyi Mao; Daniel Huber; M Eugenia Chiappe; Sreekanth H Chalasani; Leopoldo Petreanu; Jasper Akerboom; Sean A McKinney; Eric R Schreiter; Cornelia I Bargmann; Vivek Jayaraman; Karel Svoboda; Loren L Looger
Journal:  Nat Methods       Date:  2009-11-08       Impact factor: 28.547

View more
  30 in total

1.  The microarchitecture of C. elegans behavior during lethargus: homeostatic bout dynamics, a typical body posture, and regulation by a central neuron.

Authors:  Shachar Iwanir; Nora Tramm; Stanislav Nagy; Charles Wright; Daniel Ish; David Biron
Journal:  Sleep       Date:  2013-03-01       Impact factor: 5.849

Review 2.  The Sleep in Caenorhabditis elegans: What We Know Until Now.

Authors:  Maryam Moosavi; Gholam Reza Hatam
Journal:  Mol Neurobiol       Date:  2017-01-11       Impact factor: 5.590

Review 3.  Sleep and Development in Genetically Tractable Model Organisms.

Authors:  Matthew S Kayser; David Biron
Journal:  Genetics       Date:  2016-05       Impact factor: 4.562

4.  The ESCRT-II proteins are involved in shaping the sarcoplasmic reticulum in C. elegans.

Authors:  Christophe Lefebvre; Céline Largeau; Xavier Michelet; Cécile Fourrage; Xavier Maniere; Ivan Matic; Renaud Legouis; Emmanuel Culetto
Journal:  J Cell Sci       Date:  2016-02-18       Impact factor: 5.285

Review 5.  Call it Worm Sleep.

Authors:  Nicholas F Trojanowski; David M Raizen
Journal:  Trends Neurosci       Date:  2015-12-30       Impact factor: 13.837

Review 6.  High-throughput screening in the C. elegans nervous system.

Authors:  Holly E Kinser; Zachary Pincus
Journal:  Mol Cell Neurosci       Date:  2016-06-03       Impact factor: 4.314

7.  A Conserved GEF for Rho-Family GTPases Acts in an EGF Signaling Pathway to Promote Sleep-like Quiescence in Caenorhabditis elegans.

Authors:  Amanda L Fry; Jocelyn T Laboy; Huiyan Huang; Anne C Hart; Kenneth R Norman
Journal:  Genetics       Date:  2016-01-22       Impact factor: 4.562

Review 8.  A sleep state during C. elegans development.

Authors:  Matthew D Nelson; David M Raizen
Journal:  Curr Opin Neurobiol       Date:  2013-04-03       Impact factor: 6.627

9.  Discriminating between sleep and exercise-induced fatigue using computer vision and behavioral genetics.

Authors:  Kelsey N Schuch; Lakshmi Narasimhan Govindarajan; Yuliang Guo; Saba N Baskoylu; Sarah Kim; Benjamin Kimia; Thomas Serre; Anne C Hart
Journal:  J Neurogenet       Date:  2020-08-19       Impact factor: 1.250

10.  A longitudinal study of Caenorhabditis elegans larvae reveals a novel locomotion switch, regulated by G(αs) signaling.

Authors:  Stanislav Nagy; Charles Wright; Nora Tramm; Nicholas Labello; Stanislav Burov; David Biron
Journal:  Elife       Date:  2013-07-02       Impact factor: 8.140

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.