Literature DB >> 22135669

Tracking movement behavior of multiple worms on food.

Eviatar Yemini, Rex A Kerr, William R Schafer.   

Abstract

Neurobiological research in genetically tractable organisms relies heavily on robust assays for behavioral phenotypes. The simple body plan of the nematode Caenorhabditis elegans makes it particularly amenable to the use of automated microscopy and image analysis to describe behavioral patterns quantitatively. Forward genetic screens and screens of drug libraries require high-throughput phenotyping, a task traditionally incompatible with manual scoring of quantitatively varying behaviors. High-throughput automated analysis of C. elegans movement behavior is now possible with several different tracking software packages. The Multiworm Tracker (MWT) described here is designed for high-throughput analysis: it can record dozens of worms simultaneously at 30 frames per second for hours or days at a time. This is accomplished by performing all image analysis in real time, saving only the worm centroid, bearing, and outline data to the disk. To simplify image processing, the system focuses only on worms that have moved, and detects and discards worms that are touching rather than trying to isolate them computationally. Because the software is entirely automated, protocols can run unattended once the worms have been placed and the software has been started. The MWT does not save images for later analysis, but behavior can be validated manually with a companion analysis tool that replays recorded body postures. This protocol describes a basic basal movement assay on food using the MWT; similar protocols apply to related assays and to similar multiple animal trackers. The protocol can be extended to a variety of assays ranging from tap response to chemotaxis.

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Year:  2011        PMID: 22135669      PMCID: PMC4874462          DOI: 10.1101/pdb.prot067025

Source DB:  PubMed          Journal:  Cold Spring Harb Protoc        ISSN: 1559-6095


  10 in total

1.  An automated tracking system for Caenorhabditis elegans locomotor behavior and circadian studies application.

Authors:  Sergio H Simonetta; Diego A Golombek
Journal:  J Neurosci Methods       Date:  2007-01-04       Impact factor: 2.390

2.  Systems level circuit model of C. elegans undulatory locomotion: mathematical modeling and molecular genetics.

Authors:  Jan Karbowski; Gary Schindelman; Christopher J Cronin; Adeline Seah; Paul W Sternberg
Journal:  J Comput Neurosci       Date:  2007-09-01       Impact factor: 1.621

3.  A computational model for C. elegans locomotory behavior: application to multiworm tracking.

Authors:  Nicolas Roussel; Christine A Morton; Fern P Finger; Badrinath Roysam
Journal:  IEEE Trans Biomed Eng       Date:  2007-10       Impact factor: 4.538

4.  The fundamental role of pirouettes in Caenorhabditis elegans chemotaxis.

Authors:  J T Pierce-Shimomura; T M Morse; S R Lockery
Journal:  J Neurosci       Date:  1999-11-01       Impact factor: 6.167

5.  Effects of changing interstimulus interval during habituation in Caenorhabditis elegans.

Authors:  B S Broster; C H Rankin
Journal:  Behav Neurosci       Date:  1994-12       Impact factor: 1.912

6.  A novel computational approach for simultaneous tracking and feature extraction of C. elegans populations in fluid environments.

Authors:  Gabriel Tsechpenakis; Laura Bianchi; Dimitris Metaxas; Monica Driscoll
Journal:  IEEE Trans Biomed Eng       Date:  2008-05       Impact factor: 4.538

7.  Illumination for worm tracking and behavioral imaging.

Authors:  Eviatar Yemini; Rex A Kerr; William R Schafer
Journal:  Cold Spring Harb Protoc       Date:  2011-12-01

8.  Preparation of samples for single-worm tracking.

Authors:  Eviatar Yemini; Rex A Kerr; William R Schafer
Journal:  Cold Spring Harb Protoc       Date:  2011-12-01

9.  Fast, automated measurement of nematode swimming (thrashing) without morphometry.

Authors:  Steven D Buckingham; David B Sattelle
Journal:  BMC Neurosci       Date:  2009-07-20       Impact factor: 3.288

10.  The Parallel Worm Tracker: a platform for measuring average speed and drug-induced paralysis in nematodes.

Authors:  Daniel Ramot; Brandon E Johnson; Tommie L Berry; Lucinda Carnell; Miriam B Goodman
Journal:  PLoS One       Date:  2008-05-21       Impact factor: 3.240

  10 in total
  7 in total

1.  Illumination for worm tracking and behavioral imaging.

Authors:  Eviatar Yemini; Rex A Kerr; William R Schafer
Journal:  Cold Spring Harb Protoc       Date:  2011-12-01

2.  Preparation of samples for single-worm tracking.

Authors:  Eviatar Yemini; Rex A Kerr; William R Schafer
Journal:  Cold Spring Harb Protoc       Date:  2011-12-01

3.  Agarose Microchambers for Long-term Calcium Imaging of Caenorhabditis elegans.

Authors:  Michal Turek; Judith Besseling; Henrik Bringmann
Journal:  J Vis Exp       Date:  2015-06-24       Impact factor: 1.355

4.  A multi-animal tracker for studying complex behaviors.

Authors:  Eyal Itskovits; Amir Levine; Ehud Cohen; Alon Zaslaver
Journal:  BMC Biol       Date:  2017-04-06       Impact factor: 7.431

5.  Acute Effects of Drugs on Caenorhabditis elegans Movement Reveal Complex Responses and Plasticity.

Authors:  Mark Spensley; Samantha Del Borrello; Djina Pajkic; Andrew G Fraser
Journal:  G3 (Bethesda)       Date:  2018-08-30       Impact factor: 3.154

6.  The flight response impairs cytoprotective mechanisms by activating the insulin pathway.

Authors:  María José De Rosa; Tania Veuthey; Jeremy Florman; Jeff Grant; María Gabriela Blanco; Natalia Andersen; Jamie Donnelly; Diego Rayes; Mark J Alkema
Journal:  Nature       Date:  2019-08-28       Impact factor: 49.962

7.  Track-a-worm, an open-source system for quantitative assessment of C. elegans locomotory and bending behavior.

Authors:  Sijie Jason Wang; Zhao-Wen Wang
Journal:  PLoS One       Date:  2013-07-26       Impact factor: 3.240

  7 in total

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