Evidence map›Paper›PMID 27581484›Full record

ArticleJournal of the Royal Society, Interface2016

Hierarchical compression of Caenorhabditis elegans locomotion reveals phenotypic differences in the organization of behaviour.

Alex Gomez-Marin, Greg J Stephens, André E X Brown

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Hierarchical behavior control by a single class of interneurons.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. A Markovian dynamics forProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Article
  7. Article
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  9. Article
  10. Review
  11. Article
  12. Article
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  14. Article
  15. Article
  16. Article
  17. International journal of environmental research and public health · 2021
    Article
  18. Article
  19. Article
  20. Adaptive, locally linear models of complex dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Alex Gomez-MarinChampalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal Behavior of Organisms Laboratory, Instituto de Neurociencias CSIC-UMH, Alicante, Spain.ORCID 0000-0003-2764-2583
Greg J StephensDepartment of Physics and Astronomy, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands Okinawa Institute of Science and Technology, Okinawa, Japan.ORCID 0000-0003-3135-3514
André E X BrownMRC Clinical Sciences Centre, London, UK Institute of Clinical Sciences, Imperial College London, London, UK andre.brown@csc.mrc.ac.uk.ORCID 0000-0002-1324-8764

Funding

Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Ann E. Rougvie · 2012 to 2026
$7.5M
Medical Research Council MC-A658-5TY30NIH HHS P40 OD010440
6 · The paper itself

Abstract

Regularities in animal behaviour offer insights into the underlying organizational and functional principles of nervous systems and automated tracking provides the opportunity to extract features of behaviour directly from large-scale video data. Yet how to effectively analyse such behavioural data remains an open question. Here, we explore whether a minimum description length principle can be exploited to identify meaningful behaviours and phenotypes. We apply a dictionary compression algorithm to behavioural sequences from the nematode worm Caenorhabditis elegans freely crawling on an agar plate both with and without food and during chemotaxis. We find that the motifs identified by the compression algorithm are rare but relevant for comparisons between worms in different environments, suggesting that hierarchical compression can be a useful step in behaviour analysis. We also use compressibility as a new quantitative phenotype and find that the behaviour of wild-isolated strains of C. elegans is more compressible than that of the laboratory strain N2 as well as the majority of mutant strains examined. Importantly, in distinction to more conventional phenotypes such as overall motor activity or aggregation behaviour, the increased compressibility of wild isolates is not explained by the loss of function of the gene npr-1, which suggests that erratic locomotion is a laboratory-derived trait with a novel genetic basis. Because hierarchical compression can be applied to any sequence, we anticipate that compressibility can offer insights into the organization of behaviour in other animals including humans.

Indexed as

Models, BiologicalAnimalsBehavior, AnimalCaenorhabditis elegansLocomotionbehaviourCaenorhabditis elegansgenetics

Identifiers

PMID27581484
PMCPMC5014070

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.