Applying gene regulatory network logic to the evolution of social behavior

被引:19
作者
Baran, Nicole M. [1 ]
McGrath, Patrick T. [1 ,2 ]
Streelman, J. Todd [1 ,2 ]
机构
[1] Georgia Inst Technol, Sch Biol Sci, Atlanta, GA 30332 USA
[2] Georgia Inst Technol, Petit Inst Bioengn & Biosci, Atlanta, GA 30332 USA
关键词
gene regulatory networks; social behavior network; neural networks; evolution; development; LATERAL SEPTUM; ELECTRICAL-STIMULATION; SCHOOLING BEHAVIOR; DECISION-MAKING; NEURAL ACTIVITY; BLIND CAVEFISH; PRAIRIE VOLE; C-FOS; AGGRESSION; HYPOTHALAMUS;
D O I
10.1073/pnas.1610621114
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
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.
引用
收藏
页码:5886 / 5893
页数:8
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