Literature DB >> 31455164

Modelling the ballistic-to-diffusive transition in nematode motility reveals variation in exploratory behaviour across species.

Stephen J Helms1, W Mathijs Rozemuller1, Antonio Carlos Costa2, Leon Avery3, Greg J Stephens2,4, Thomas S Shimizu1.   

Abstract

A quantitative understanding of organism-level behaviour requires predictive models that can capture the richness of behavioural phenotypes, yet are simple enough to connect with underlying mechanistic processes. Here, we investigate the motile behaviour of nematodes at the level of their translational motion on surfaces driven by undulatory propulsion. We broadly sample the nematode behavioural repertoire by measuring motile trajectories of the canonical laboratory strain Caenorhabditis elegans N2 as well as wild strains and distant species. We focus on trajectory dynamics over time scales spanning the transition from ballistic (straight) to diffusive (random) movement and find that salient features of the motility statistics are captured by a random walk model with independent dynamics in the speed, bearing and reversal events. We show that the model parameters vary among species in a correlated, low-dimensional manner suggestive of a common mode of behavioural control and a trade-off between exploration and exploitation. The distribution of phenotypes along this primary mode of variation reveals that not only the mean but also the variance varies considerably across strains, suggesting that these nematode lineages employ contrasting 'bet-hedging' strategies for foraging.

Entities:  

Keywords:  behaviour; cross-species comparisons; dimensionality reduction; phenotyping; random walk

Year:  2019        PMID: 31455164      PMCID: PMC6731512          DOI: 10.1098/rsif.2019.0174

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  49 in total

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Journal:  Eur Biophys J       Date:  2004-07-15       Impact factor: 1.733

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Authors:  Manabi Fujiwara; Piali Sengupta; Steven L McIntire
Journal:  Neuron       Date:  2002-12-19       Impact factor: 17.173

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  1 in total

1.  Flavonoids from Lycium barbarum Leaves Exhibit Anti-Aging Effects through the Redox-Modulation.

Authors:  Yinhong Niu; Jiale Liao; Haitao Zhou; Chih-Chen Wang; Lei Wang; Yanli Fan
Journal:  Molecules       Date:  2022-08-03       Impact factor: 4.927

  1 in total

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