Forward locomotion of the nematode C. elegans is achieved through modulation of a single gait
Open accessAbstract
The ability of an animal to locomote through its environment depends crucially on the interplay between its active endogenous control and the physics of its interactions with the environment. The nematode worm Caenorhabditis elegans serves as an ideal model system for studying the respective roles of neural control and biomechanics, as well as the interaction between them. With only 302 neurons in a hard-wired neural circuit, the worm's apparent anatomical simplicity belies its behavioural complexity. Indeed, C. elegans exhibits a rich repertoire of complex behaviors, the majority of which are mediated by its adaptive undulatory locomotion. The conventional wisdom is that two kinematically distinct C. elegans locomotion behaviors-swimming in liquids and crawling on dense gel-like media-correspond to distinct locomotory gaits. Here we analyze the worm's motion through a series of different media and reveal a smooth transition from swimming to crawling, marked by a linear relationship between key locomotion metrics. These results point to a single locomotory gait, governed by the same underlying control mechanism. We further show that environmental forces play only a small role in determining the shape of the worm, placing conditions on the minimal pattern of internal forces driving locomotion.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
C. elegans locomotes in an undulatory fashion, generating thrust by propagating dorsoventral bends along its body.
“C. elegans locomotes in an undulatory fashion, generating thrust by propagating dorsoventral bends along its body with a wavelength of undulation that depends on the properties of the medium through which it moves (Berri, Boyle, Tassieri, Hope, & Cohen, 2009; Fang-Yen et al., 2010; Gray & Lissmann, 1964; Lebois et al., 2012).”
From Potential role of a ventral nerve cord central pattern generator in forward and backward locomotion in<i>Caenorhabditis elegans</i> (2018) · cites this paper as Berri et al., 2009
The Discussion (page unavailable) describes C. elegans locomotion as an S-shaped travelling wave and explains that a time-reversible bending motion cannot propel the worm. The crawling-and-swimming section also links body undulations to thrust. Our copy does not identify the bends specifically as dorsoventral, so that anatomical detail remains unsupported. (LLM, conf=0.82)
Experimental — accuracy not yet measuredThe normal drag coefficient for agar C⊥,agar is 128 × 10−3 kg·s−1, obtained by taking Kagar = 40 and Niebur and Erdös' estimate for C||,agar.
“We previously estimated the normal drag coefficient C⊥,agar from recordings of wild type worms using our motion simulator (Berri et al., 2009). Briefly, we found the ratio of drag coefficients to be in the range Kagar ≈ 30–40; taking a value of Kagar = 40 and Niebur and Erdös’ estimate for C||,agar gives C⊥,agar = 128 × 10−3 kg·s−1, which will be used in what follows.”
From Gait Modulation in C. elegans: An Integrated Neuromechanical Model (2012) · cites this paper as Berri et al., 2009
In “The groove is not required for crawling” (page not specified), the paper reports an agar drag-coefficient ratio of K = 32 ± 4, estimated using a simulator. “Estimating power dissipation” explains how K could be combined with a drag coefficient, but uses an estimate from Korta et al. (2007), not Niebur and Erdös. Our copy does not give C⊥,agar = 128 × 10−3 kg·s−1 or calculate it using K = 40. (LLM, conf=0.83)
Experimental — accuracy not yet measuredForward swimming and crawling in C. elegans are two extremes in a spectrum of behaviors, with intermediate waveforms revealed in appropriate intermediate media.
“Recent results, however, demonstrated that forward swimming and crawling are two extremes in a spectrum of behaviors. Indeed the intermediate waveforms can be revealed by placing worms in appropriate intermediate media (Berri et al., 2009; Fang-Yen et al., 2010; Sznitman et al., 2010; Boyle et al., 2011).”
From Gait Modulation in C. elegans: An Integrated Neuromechanical Model (2012) · cites this paper as Berri et al., 2009
A waveform modulation similar to that reported for viscoelastic media has also been reported for increasing viscosities.
“A waveform modulation similar to that reported by Berri et al. (2009) for viscoelastic media was consequently reported also for increasing viscosities (Fang-Yen et al., 2010; Shen and Arratia, 2011).”
From Gait Modulation in C. elegans: An Integrated Neuromechanical Model (2012) · cites this paper as Berri et al., 2009
The worm can generate crawling-like undulations even in isotropic environments with K approximately equal to 1.
“Such a conclusion would be consistent with our previous observation (Berri et al., 2009) that the worm can generate crawling-like undulations even in isotropic environments with K ≈ 1.”
From Gait Modulation in C. elegans: An Integrated Neuromechanical Model (2012) · cites this paper as Berri et al., 2009
The swim-crawl transition has been experimentally mapped in gelatin solutions with different concentrations and is characterized by a smooth and monotonic frequency-wavelength relation.
“This transition has been experimentally mapped in gelatin solutions with different concentrations (Berri et al., 2009), and is characterized by a smooth and monotonic frequency-wavelength relation (Figure 4A).”
From Gait Modulation in C. elegans: An Integrated Neuromechanical Model (2012) · cites this paper as Berri et al., 2009
The resistive forces applied by the worm's physical environment can be well represented by local drag coefficients resisting motion tangential (C||) and normal (C⊥) to the local body surface.
“As previously demonstrated (Berri et al., 2009), the resistive forces applied by the worm’s physical environment can be well represented by local drag coefficients resisting motion tangential (C||) and normal (C⊥) to the local body surface.”
From Gait Modulation in C. elegans: An Integrated Neuromechanical Model (2012) · cites this paper as Berri et al., 2009
Swimming, crawling, and a continuum of intermediate locomotion waveforms represent different manifestations of the same fundamental behavior in different physical environments.
“The model was motivated by the recent finding that swimming, crawling, and a continuum of intermediate locomotion waveforms represent different manifestations of the same fundamental behavior in different physical environments (Berri et al., 2009; Fang-Yen et al., 2010; Boyle et al., 2011).”
From Gait Modulation in C. elegans: An Integrated Neuromechanical Model (2012) · cites this paper as Berri et al., 2009
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The structure of the nervous system of the nematode <i>Caenorhabditis elegans</i>
White, J. G., Southgate, E., Thomson, J. N., & Brenner, S. (1986) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1986.0056 · Cited by 5,589 · cited 2× · see citing works
“Furthermore, the availability of a detailed reconstruction of its invariant nervous system ( White et al., 1986; Chen et al., 2006), including location, morphology, and interconnectivity of all the neurons, provides insight unparalleled in the animal kingdom.”
BackgroundPurcell, E. M. (1977) · American Journal of Physics · doi:10.1119/1.10903 · Cited by 4,360 · see citing works
A Simulation Model of the Locomotion Controllers for the Nematode Caenorhabditis elegans
Bryden, J., & Cohen, N. (2004) · From Animals to Animats 8 · doi:10.7551/mitpress/3122.003.0024 · Cited by 26 · cited 2× · see citing works
“Rather the contractions along the body of the worm must be strong and extensive enough to do so, as predicted, for example, in previous work (Bryden and Cohen, 2004, 2008).”
BackgroundSelf-citationWave Formation By Infective Larvae of the Plant Parasitic Nematode Meloidogyne Javanica
Wallace, H. R. (1969) · Nematologica · doi:10.1163/187529269x00100 · Cited by 23 · see citing works
Flagged first, then by citations
Research works printed but not linked: 14
- Alexander, RM (2002). "Locomotion." In The Biology of Nematodes, Lee DL, ed., pp. 345-352, Taylor and Francis.
- Boyle, JH, Bryden, JA, and Cohen, N (2008). "An integrated neuro- mechanical model of C. elegans forward locomotion." In LNCS: Neural Information Processing, Part 1, Vol. 4984, Ishikawa, M, Doya, K, Miyamoto, H, and Yamakawa, T, eds., pp. 37-47, Springer, Berlin.
- Chen, B, Hall, D, and Chklovskii, D (2006). "Wiring optimization can relate neuronal structure and function." Proc. Natl. Acad. Sci. · DOI · Paper page
- U.S.A. 103, 4723-4728. · DOI · Paper page
- Chronis, N, Zimmer, M, and Bargmann, CI (2007). "Microfluidics for in vivo imaging of neuronal and behavioural activity in Caenorhabditis elegans." Nat. Methods 4(9), 727-731.
- See EPAPS Document No. E-HJFOA5-3-005904 for supplemental information. This document can be reached through a direct link in the online article's HTML reference section or via the EPAPS homepage (http://www.aip.org/pubservs/epaps.html).
- Esmaeili, B, Ross, JM, Neades, C, Miller, DM, and Ahringer, J (2002). "The C. elegans even-skipped homologue, vab-7, specifies DB motoneurone identity and axon trajectory." Development 129(4), 853-862.
- Niebur, E, and Erdös, P (1993). "Theory of the locomotion of nematodes: control of the somatic motor neurons by interneurons." Math. Biosci. 118(1), 51-82.
- Petersen, C, et al. (2004). "In vivo identification of genes that modify ether- a-go-go-related gene activity in Caenorhabditis elegans may also affect human cardiac arrhythmia." Proc. Natl. Acad. Sci. U.S.A. 101, 11773-11778. · DOI
- Pierce-Shimomura, J, Chen, BL, Mun, JJ, Ho, R, Sarkis, R, and McIntire, SL (2008). "Genetic analysis of crawling and swimming locomotory patterns in C. elegans." Proc. Natl. Acad. Sci. U.S.A., 105, 20982-20987. · DOI
- Rubinstein, M, and Colby, RH (2003). Polymer Physics, Oxford University Press, New York.
- Suzuki, M, Tsuji, T, and Ohtake, H (2005). "A model of motor control of the nematode C. elegans with neuronal circuits." Artif. Intell. Med. 35(1-2), 75-86.
- Tsechpenakis, G, Bianchi, L, Metaxas, D, and Driscoll, M (2008). "A novel computational approach for simultaneous tracking and feature extraction of C. elegans populations in fluid environments." IEEE Trans. Biomed. Eng. 55, 1539-1549.
- Wittenburg, N, and Baumeister, R (1999). "Thermal avoidance in Caenorhabditis elegans: an approach to the study of nociception." Proc. Natl. Acad. Sci. U.S.A. 96, 10477-10482.
Cited by
Sorted by citations
Evolution of central pattern generators and rhythmic behaviours
Katz, P. S. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2015.0057 · Cited by 197 · see citing works
Gait Modulation in C. elegans: An Integrated Neuromechanical Model
Boyle, J. H., Berri, S., & Cohen, N. (2012) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2012.00010 · Cited by 163 · see citing works
“Wave properties are extracted as described in Berri et al. (2009).”
BackgroundMethodResultInfluentialSelf-citationSwimming at low Reynolds number: a beginners guide to undulatory locomotion
Cohen, N., & Boyle, J. H. (2010) · Contemporary Physics · doi:10.1080/00107510903268381 · Cited by 110 · see citing works
Self-citationDistributed rhythm generators underlie Caenorhabditis elegans forward locomotion
Fouad, A. D., Teng, S., Mark, J. R., Liu, A., Alvarez-Illera, P., Ji, H., Du, A., Bhirgoo, P. D., Cornblath, E., Guan, S. A., et al. (2018) · eLife · doi:10.7554/elife.29913 · Cited by 79 · see citing works
Izquierdo, E. J., & Beer, R. D. (2018) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2017.0374 · Cited by 56 · see citing works
Olivares, E. O., Izquierdo, E. J., & Beer, R. D. (2018) · Network Neuroscience · doi:10.1162/netn_a_00036 · Cited by 38 · see citing works
“…stretch-receptor feedback (Wen et al., 2012) could modulate intrinsic network oscillations from CPGs in the ventral nerve cord, effectively generating different oscillating frequencies when the worm is placed in different media (Berri et al., 2009; Fang-Yen et al., 2010; Lebois et al., 2012).”
BackgroundGait Modulation in C. Elegans: It's Not a Choice, It's a Reflex!
Boyle, J. H., Berri, S., Tassieri, M., Hope, I. A., & Cohen, N. (2011) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2011.00010 · Cited by 18 · see citing works
Self-citationCohen, N., & Ranner, T. (2017) · arXiv · doi:10.48550/arxiv.1702.04988 · Cited by 12 · see citing works
Self-citation
- Authors
- Berri, S., Boyle, J. H., Tassieri, M., Hope, I. A., & Cohen, N.
- Affiliations
- University of Leeds (GB)
- Venue
- HFSP Journal
- Publisher
- Informa UK Limited
- Published
- 2009-06
- Volume
- 3
- Issue
- 3
- Pages
- 186-193
- ISSN
- 1955-205X (ISSN-L)
- 1955-2068
- PMC
- PMC2714959
- OpenAlex
- W2036085310
- Cited by
- 132
- References
- 4
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 6 · 2023: 10 · 2022: 4 · 2021: 8 · 2020: 7 · 2019: 5 · 2018: 11 · 2017: 9 · 2016: 4 · 2015: 8 · 2014: 13 · 2013: 8 · 2012: 15
- FWCI
- 6.22
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- HFSP journal (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (submittedVersion)
- Funders
- Engineering and Physical Sciences Research Council (EP/C011961/1, EP/C513711/1, EP/C011953/1)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Robotic Locomotion and Control
- Physical Sciences › Engineering › Aerospace Engineering › Biomimetic flight and propulsion mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurobiology and Insect Physiology Research
- Keywords
- Caenorhabditis elegans, undulatory locomotion, locomotion gaits, swimming, crawling, neural control of locomotion, biomechanics, internal forces, environmental forces, locomotor activity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review