Applying gene regulatory network logic to the evolution of social behavior.

Autor:	Baran NM; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332., McGrath PT; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332.; The Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA 30332., Streelman JT; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332; todd.streelman@biology.gatech.edu.; The Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA 30332.
Jazyk:	angličtina
Zdroj:	Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2017 Jun 06; Vol. 114 (23), pp. 5886-5893.
DOI:	10.1073/pnas.1610621114
Abstrakt:	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. Competing Interests: The authors declare no conflict of interest.
Databáze:	MEDLINE
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