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Beyond the response—High throughput behavioral analyses to link genome to phenome in Caenorhabditis elegans
An illustration of classic manual stop‐framed video analysis of a simple behavior—the Caenorhabditis elegans tap withdrawal response. A, A single C. elegans worm crawling on agar in a petri plate. A push solenoid (bottom left) delivers a mechanosensory tap stimulus that vibrates the agar, causing th...
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Published in: | Genes, brain and behavior brain and behavior, 2018-03, Vol.17 (3), p.e12437-n/a |
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description | An illustration of classic manual stop‐framed video analysis of a simple behavior—the Caenorhabditis elegans tap withdrawal response. A, A single C. elegans worm crawling on agar in a petri plate. A push solenoid (bottom left) delivers a mechanosensory tap stimulus that vibrates the agar, causing the worm to reverse. The probability and distance of the reversal response is manually scored by tracing the trajectory of the worm on to acetate sheets using stop‐framed video analysis. B, With repeated stimulation the probability of the response habituates (observed as a gradually learned response decrement). Error bars denote SEM.
The development and application of methods for automated behavioral analysis have revolutionized behavioral genetics across model organisms. In this review we summarize the history of automated behavioral analysis in the nematode Caenorhabditis elegans. We highlight recent studies of learning and memory to exemplify just how complex the genetic and neural circuit mechanisms underlying a seemingly simple single behavioral response can be. We finish by looking forward at the exciting prospects of combing genomic technologies with connectomic and phenomic level measurements. |
doi_str_mv | 10.1111/gbb.12437 |
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The development and application of methods for automated behavioral analysis have revolutionized behavioral genetics across model organisms. In this review we summarize the history of automated behavioral analysis in the nematode Caenorhabditis elegans. We highlight recent studies of learning and memory to exemplify just how complex the genetic and neural circuit mechanisms underlying a seemingly simple single behavioral response can be. We finish by looking forward at the exciting prospects of combing genomic technologies with connectomic and phenomic level measurements.</description><identifier>ISSN: 1601-1848</identifier><identifier>EISSN: 1601-183X</identifier><identifier>DOI: 10.1111/gbb.12437</identifier><identifier>PMID: 29124896</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Automation ; Behavioral genetics ; Caenorhabditis elegans ; Genomes ; habituation ; high throughput behavioral analysis ; Learning ; machine vision ; Memory ; Nematodes ; non‐associative learning ; optogenetics ; phenomics ; worm tracker ; Worms</subject><ispartof>Genes, brain and behavior, 2018-03, Vol.17 (3), p.e12437-n/a</ispartof><rights>2017 John Wiley & Sons Ltd and International Behavioural and Neural Genetics Society</rights><rights>2017 John Wiley & Sons Ltd and International Behavioural and Neural Genetics Society.</rights><rights>2018 John Wiley & Sons Ltd and International Behavioural and Neural Genetics Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3537-2e3121323a5cd4d291769e43a51e864c273970d03da817174472604f9595690c3</citedby><cites>FETCH-LOGICAL-c3537-2e3121323a5cd4d291769e43a51e864c273970d03da817174472604f9595690c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fgbb.12437$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fgbb.12437$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,11562,27924,27925,46052,46476</link.rule.ids><linktorsrc>$$Uhttps://onlinelibrary.wiley.com/doi/abs/10.1111%2Fgbb.12437$$EView_record_in_Wiley-Blackwell$$FView_record_in_$$GWiley-Blackwell</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29124896$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>McDiarmid, T. A.</creatorcontrib><creatorcontrib>Yu, A. J.</creatorcontrib><creatorcontrib>Rankin, C. H.</creatorcontrib><title>Beyond the response—High throughput behavioral analyses to link genome to phenome in Caenorhabditis elegans</title><title>Genes, brain and behavior</title><addtitle>Genes Brain Behav</addtitle><description>An illustration of classic manual stop‐framed video analysis of a simple behavior—the Caenorhabditis elegans tap withdrawal response. A, A single C. elegans worm crawling on agar in a petri plate. A push solenoid (bottom left) delivers a mechanosensory tap stimulus that vibrates the agar, causing the worm to reverse. The probability and distance of the reversal response is manually scored by tracing the trajectory of the worm on to acetate sheets using stop‐framed video analysis. B, With repeated stimulation the probability of the response habituates (observed as a gradually learned response decrement). Error bars denote SEM.
The development and application of methods for automated behavioral analysis have revolutionized behavioral genetics across model organisms. In this review we summarize the history of automated behavioral analysis in the nematode Caenorhabditis elegans. We highlight recent studies of learning and memory to exemplify just how complex the genetic and neural circuit mechanisms underlying a seemingly simple single behavioral response can be. We finish by looking forward at the exciting prospects of combing genomic technologies with connectomic and phenomic level measurements.</description><subject>Automation</subject><subject>Behavioral genetics</subject><subject>Caenorhabditis elegans</subject><subject>Genomes</subject><subject>habituation</subject><subject>high throughput behavioral analysis</subject><subject>Learning</subject><subject>machine vision</subject><subject>Memory</subject><subject>Nematodes</subject><subject>non‐associative learning</subject><subject>optogenetics</subject><subject>phenomics</subject><subject>worm tracker</subject><subject>Worms</subject><issn>1601-1848</issn><issn>1601-183X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kctKxDAYhYMo3he-gATc6GKc3Nq0S2fwBoIbBXchbf9po21Tk1aZnQ_hE_okRju6EMwm54SPw__nIHRAySkNZ1pm2Sllgss1tE1jQic04Q_rv1okW2jH-0dCqOQJ3URbLA14ksbbqJnB0rYF7ivADnxnWw8fb-9XpqzCm7NDWXVDjzOo9IuxTtdYt7peevC4t7g27RMuobUNfNmuGqVp8VwH6SqdFaY3HkMNpW79HtpY6NrD_ureRfcX53fzq8nN7eX1_OxmkvOIywkDThnljOsoL0QRppVxCiJYCkksciZ5KklBeKETKqkUQrKYiEUapVGckpzvouMxt3P2eQDfq8b4HOpat2AHr2gacyajJGIBPfqDPtrBhR29YiRwTLAkDtTJSOXOeu9goTpnGu2WihL11YEKHajvDgJ7uEocsgaKX_Ln0wMwHYFXU8Py_yR1OZuNkZ_D5Y_c</recordid><startdate>201803</startdate><enddate>201803</enddate><creator>McDiarmid, T. A.</creator><creator>Yu, A. J.</creator><creator>Rankin, C. H.</creator><general>Blackwell Publishing Ltd</general><general>John Wiley & Sons, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>201803</creationdate><title>Beyond the response—High throughput behavioral analyses to link genome to phenome in Caenorhabditis elegans</title><author>McDiarmid, T. A. ; Yu, A. J. ; Rankin, C. H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3537-2e3121323a5cd4d291769e43a51e864c273970d03da817174472604f9595690c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Automation</topic><topic>Behavioral genetics</topic><topic>Caenorhabditis elegans</topic><topic>Genomes</topic><topic>habituation</topic><topic>high throughput behavioral analysis</topic><topic>Learning</topic><topic>machine vision</topic><topic>Memory</topic><topic>Nematodes</topic><topic>non‐associative learning</topic><topic>optogenetics</topic><topic>phenomics</topic><topic>worm tracker</topic><topic>Worms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>McDiarmid, T. A.</creatorcontrib><creatorcontrib>Yu, A. J.</creatorcontrib><creatorcontrib>Rankin, C. H.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Genes, brain and behavior</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>McDiarmid, T. A.</au><au>Yu, A. J.</au><au>Rankin, C. H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Beyond the response—High throughput behavioral analyses to link genome to phenome in Caenorhabditis elegans</atitle><jtitle>Genes, brain and behavior</jtitle><addtitle>Genes Brain Behav</addtitle><date>2018-03</date><risdate>2018</risdate><volume>17</volume><issue>3</issue><spage>e12437</spage><epage>n/a</epage><pages>e12437-n/a</pages><issn>1601-1848</issn><eissn>1601-183X</eissn><abstract>An illustration of classic manual stop‐framed video analysis of a simple behavior—the Caenorhabditis elegans tap withdrawal response. A, A single C. elegans worm crawling on agar in a petri plate. A push solenoid (bottom left) delivers a mechanosensory tap stimulus that vibrates the agar, causing the worm to reverse. The probability and distance of the reversal response is manually scored by tracing the trajectory of the worm on to acetate sheets using stop‐framed video analysis. B, With repeated stimulation the probability of the response habituates (observed as a gradually learned response decrement). Error bars denote SEM.
The development and application of methods for automated behavioral analysis have revolutionized behavioral genetics across model organisms. In this review we summarize the history of automated behavioral analysis in the nematode Caenorhabditis elegans. We highlight recent studies of learning and memory to exemplify just how complex the genetic and neural circuit mechanisms underlying a seemingly simple single behavioral response can be. We finish by looking forward at the exciting prospects of combing genomic technologies with connectomic and phenomic level measurements.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>29124896</pmid><doi>10.1111/gbb.12437</doi><tpages>14</tpages></addata></record> |
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subjects | Automation Behavioral genetics Caenorhabditis elegans Genomes habituation high throughput behavioral analysis Learning machine vision Memory Nematodes non‐associative learning optogenetics phenomics worm tracker Worms |
title | Beyond the response—High throughput behavioral analyses to link genome to phenome in Caenorhabditis elegans |
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