全球智库信息集成服务系统(G2TT): Evolutionary branching under multi-dimensional evolutionary constraints.

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来源类型	Article
规范类型	其他
DOI	10.1016/j.jtbi.2016.07.011
	Evolutionary branching under multi-dimensional evolutionary constraints.
	Ito H; Sasaki A
发表日期	2016
出处	Journal of Theoretical Biology 407: 409-428
出版年	2016
语种	英语
摘要	The fitness of an existing phenotype and of a potential mutant should generally depend on the frequencies of other existing phenotypes. Adaptive evolution driven by such frequency-dependent fitness functions can be analyzed effectively using adaptive dynamics theory, assuming rare mutation and asexual reproduction. When possible mutations are restricted to certain directions due to developmental, physiological, or physical constraints, the resulting adaptive evolution may be restricted to subspaces (constraint surfaces) with fewer dimensionalities than the original trait spaces. To analyze such dynamics along constraint surfaces efficiently, we develop a Lagrange multiplier method in the framework of adaptive dynamics theory. On constraint surfaces of arbitrary dimensionalities described with equality constraints, our method efficiently finds local evolutionarily stable strategies, convergence stable points, and evolutionary branching points. We also derive the conditions for the existence of evolutionary branching points on constraint surfaces when the shapes of the surfaces can be chosen freely.
主题	Evolution and Ecology (EEP)
关键词	Adaptive evolution Ecological interaction Frequency-dependent selection Speciation Evolutionary constraint Lagrange multiplier method
URL	http://pure.iiasa.ac.at/id/eprint/13550/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/130599
推荐引用方式 GB/T 7714	Ito H,Sasaki A. Evolutionary branching under multi-dimensional evolutionary constraints.. 2016.

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