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超越反应——用于将秀丽隐杆线虫基因组与表型组相联系的高通量行为分析

Beyond the response-High throughput behavioral analyses to link genome to phenome in Caenorhabditis elegans.

作者信息

McDiarmid T A, Yu A J, Rankin C H

机构信息

Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada.

Department of Psychology, University of British Columbia, Vancouver, British Columbia, Canada.

出版信息

Genes Brain Behav. 2018 Mar;17(3):e12437. doi: 10.1111/gbb.12437. Epub 2018 Jan 17.

Abstract

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.

摘要

自动行为分析方法的发展与应用彻底改变了模式生物的行为遗传学。在这篇综述中,我们总结了线虫秀丽隐杆线虫自动行为分析的历史。我们重点介绍了最近关于学习和记忆的研究,以例证看似简单的单一行为反应背后的遗传和神经回路机制可能是多么复杂。最后,我们展望了将基因组技术与连接体和表型水平测量相结合的令人兴奋的前景。

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