Integrating Evolutionary Game Theory into Mechanistic Genotype-Phenotype Mapping

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• 作者：Xuli Zhu¹ ; ⁵ ; Libo Jiang¹ ; ⁵ ; Meixia Ye¹ ; ⁵ ; Lidan Sun² ; Claudia Gragnoli³ ; ⁴ ; Rongling Wu¹ ; ² ; ³ ; ^{rwu@bjfu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; ^{rwu@phs.psu.edu" class="auth_mail" title="E-mail the corresponding author}
• 关键词：game theory ; functional mapping ; quantitative trait loci ; differential equations
• 刊名：Trends in Genetics
• 出版年：2016
• 出版时间：May 2016
• 年：2016
• 卷：32
• 期：5
• 页码：256-268
• 全文大小：2475 K

文摘

Natural selection has shaped the evolution of organisms toward optimizing their structural and functional design. However, how this universal principle can enhance genotype–phenotype mapping of quantitative traits has remained unexplored. Here we show that the integration of this principle and functional mapping through evolutionary game theory gains new insight into the genetic architecture of complex traits. By viewing phenotype formation as an evolutionary system, we formulate mathematical equations to model the ecological mechanisms that drive the interaction and coordination of its constituent components toward population dynamics and stability. Functional mapping provides a procedure for estimating the genetic parameters that specify the dynamic relationship of competition and cooperation and predicting how genes mediate the evolution of this relationship during trait formation.