A network approach to discerning the identities of C. elegans in a free moving population
| Autor: | Peter Winter, Andreia Teixeira-Castro, Nicholas P. Timkovich, Richard I. Morimoto, Helio T. Navarro, Luís A. Nunes Amaral, Renée M. Brielmann |
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| Přispěvatelé: | Universidade do Minho |
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Computer science Population Medicina Básica [Ciências Médicas] Article 03 medical and health sciences Human–computer interaction Image Processing Computer-Assisted Animals education Caenorhabditis elegans Social Behavior Simulation Neurons education.field_of_study Multidisciplinary Science & Technology Behavior Animal 3. Good health High-Throughput Screening Assays 030104 developmental biology Phenotype Ciências Médicas::Medicina Básica Network approach Locomotion Software Social behavior |
| Zdroj: | Scientific Reports Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
| ISSN: | 2045-2322 |
| Popis: | The study of C. elegans has led to ground-breaking discoveries in gene-function, neuronal circuits, and physiological responses. Subtle behavioral phenotypes, however, are often difficult to measure reproducibly. We have developed an experimental and computational infrastructure to simultaneously record and analyze the physical characteristics, movement, and social behaviors of dozens of interacting free-moving nematodes. Our algorithm implements a directed acyclic network that reconstructs the complex behavioral trajectories generated by individual C. elegans in a free moving population by chaining hundreds to thousands of short tracks into long contiguous trails. This technique allows for the high-throughput quantification of behavioral characteristics that require long-term observation of individual animals. The graphical interface we developed will enable researchers to uncover, in a reproducible manner, subtle time-dependent behavioral phenotypes that will allow dissection of the molecular mechanisms that give rise to organism-level behavior. Mechanisms of Aging and Dementia Training grant (NIH grant: T32 AG20506) and the Ruth L. Kirschstein National Research Service Award (NIH Grant: 1F31AG045017) to P.B.W., from the National Institutes of Health (NIGMS, NIA, NIMH), the Ellison Medical Foundation, and the Daniel F. and Ada L. Rice Foundation to R.I.M., and from the grants for Department of Defense’s Army Research Office (No. W911NF-14-1-0259) and the John Templeton Foundation (No. FP053369-A//39147) to L.A.N.A. A.T.-C. was supported by the Fundação para a Ciência e Tecnologia (FCT) individual fellowship SFRH/BPD/79469/2011. The authors thank the members of the L.A.N.A and R.I.M. Laboratories for their support and critical reading of the manuscript. Thanks to K. Day for scoring validation recordings and D.J. Bridge for insightful discussion. Some strains were provided by the CGC, which is funded by NIH Office of Research Infrastructure Programs (P40 OD010440) |
| Databáze: | OpenAIRE |
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