文章基本信息

标题：Applying gene regulatory network logic to the evolution of social behavior
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作者：Nicole M. Baran ; Patrick T. McGrath ; J. Todd Streelman 等
期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2017
卷号：114
期号：23
页码：5886-5893
DOI：10.1073/pnas.1610621114
语种：English
出版社：The National Academy of Sciences of the United States of America
摘要：Animal behavior is ultimately the product of gene regulatory networks (GRNs) for brain development and neural networks for brain function. The GRN approach has advanced the fields of genomics and development, and we identify organizational similarities between networks of genes that build the brain and networks of neurons that encode brain function. In this perspective, we engage the analogy between developmental networks and neural networks, exploring the advantages of using GRN logic to study behavior. Applying the GRN approach to the brain and behavior provides a quantitative and manipulative framework for discovery. We illustrate features of this framework using the example of social behavior and the neural circuitry of aggression.
关键词：gene regulatory networks ; social behavior network ; neural networks ; evolution ; development