全球智库信息集成服务系统(G2TT): Evolution of phenotypic clusters through competition and local adaptation along an environmental gradient.

G2TT

来源类型	Article
规范类型	其他
DOI	10.1111/j.1558-5646.2008.00334.x
	Evolution of phenotypic clusters through competition and local adaptation along an environmental gradient.
	Leimar O; Doebeli M; Dieckmann U
发表日期	2008
出处	Evolution 62 (4): 807-822
出版年	2008
语种	英语
摘要	We have analyzed the evolution of a quantitative trait in populations that are spatially extended along an environmental gradient, with gene flow between nearby locations. In the absence of competition, there is stabilizing selection toward a locally best-adapted trait that changes gradually along the gradient. According to traditional ideas, gradual spatial variation in environmental conditions is expected to lead to gradual variation in the evolved trait. A contrasting possibility is that the trait distribution instead breaks up into discrete clusters. Doebeli and Dieckmann (2003) argued that competition acting locally in trait space and geographical space can promote such clustering. We have investigated this possibility using deterministic population dynamics for asexual populations, analyzing our model numerically and through an analytical approximation. We examined how the evolution of clusters is affected by the shape of competition kernels, by the presence of Allee effects, and by the strength of gene flow along the gradient. For certain parameter ranges clustering was a robust outcome, and for other ranges there was no clustering. Our analysis shows that the shape of competition kernels is important for clustering: the sign structure of the Fourier transform of a competition kernel determines whether the kernel promotes clustering. Also, we found that Allee effects promote clustering, whereas gene flow can have a counteracting influence. In line with earlier findings, we could demonstrate that phenotypic clustering was favored by gradients of intermediate slope.
主题	Evolution and Ecology (EEP)
关键词	Allee effects Asexual populations Disruptive selection Parapatry Pattern formation Quantitative characters
URL	http://pure.iiasa.ac.at/id/eprint/8546/
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/128825
推荐引用方式 GB/T 7714	Leimar O,Doebeli M,Dieckmann U. Evolution of phenotypic clusters through competition and local adaptation along an environmental gradient.. 2008.