The structure of behavioral variation within a genotype

eLife

Benjamin L de Bivort¹  Alyssa Bravin¹  Zachary Werkhoven¹  Julien Ayroles²  Kyobi Skutt-Kakaria³  Pablo Reimers⁴  Luisa F Pallares⁵ 

[1] Center for Brain Science and Department of Organismic and Evolutionary Biology, Cambridge, United States;Center for Brain Science and Department of Organismic and Evolutionary Biology, Cambridge, United States;Department of Ecology and Evolutionary Biology and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, United States;Center for Brain Science and Department of Organismic and Evolutionary Biology, Cambridge, United States;Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, United States;Center for Brain Science and Department of Organismic and Evolutionary Biology, Cambridge, United States;Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States;Department of Ecology and Evolutionary Biology and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, United States;

关键词: high-throughput behavior;    invdividuality;    personality;    covariation;    neural circuits;    transcriptomics;    D. melanogaster;   

DOI  :  10.7554/eLife.64988

来源: eLife Sciences Publications, Ltd

【 摘 要 】

Individual animals vary in their behaviors. This is true even when they share the same genotype and were reared in the same environment. Clusters of covarying behaviors constitute behavioral syndromes, and an individual’s position along such axes of covariation is a representation of their personality. Despite these conceptual frameworks, the structure of behavioral covariation within a genotype is essentially uncharacterized and its mechanistic origins unknown. Passing hundreds of inbred Drosophila individuals through an experimental pipeline that captured hundreds of behavioral measures, we found sparse but significant correlations among small sets of behaviors. Thus, the space of behavioral variation has many independent dimensions. Manipulating the physiology of the brain, and specific neural populations, altered specific correlations. We also observed that variation in gene expression can predict an individual’s position on some behavioral axes. This work represents the first steps in understanding the biological mechanisms determining the structure of behavioral variation within a genotype.

【 授权许可】

CC BY