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种群结构、适应度曲面以及动态平衡过程中的连锁

Population structure, fitness surfaces, and linkage in the shifting balance process.

作者信息

Bergman A, Goldstein D B, Holsinger K E, Feldman M W

机构信息

Interval Research Corporation, Palo Alto, CA 94304, USA.

出版信息

Genet Res. 1995 Aug;66(1):85-92. doi: 10.1017/s0016672300034418.

Abstract

Wright first introduced the idea that random genetic drift and classical mass-action selection might combine in such a way as to allow populations to find the highest peak in complicated adaptive surfaces. His theory assumes large but structured populations, in which mating is spatially local. If gene flow is sufficiently low, and the subpopulations (demes) are small enough, they will be subject to genetic drift. Distant demes drift independently, allowing many independent searches of the adaptive surface to take place. A deme that has shifted to a higher peak can, by emigration, cause the rest of the demes to shift to the higher peak. The probability of this shift depends on the migration rate. Previous studies have concluded that very little migration is necessary to effect the shift in adaptive peaks that characterizes the last phase of Wright's Shifting Balance Process (SBP). Here we present the results of a computer study that investigates the roles of dispersal distance, the degree of epistasis in the fitness surface, and recombination on the shifting balance process. In particular, we measure their effect on the population's mean fitness. We show that over a range of dispersal distances the advantage of the SBP is a monotonically increasing function of the amount of epistasis. Our results show that the extent of dispersal that results in the greatest effect of the SBP in increasing mean fitness depends on the extent of epistasis. Finally, for low levels of epistasis, higher recombination performs better, while for intermediate levels, lower recombination results in a greater advantage of the SBP.

摘要

赖特首先提出了这样一种观点

随机遗传漂变和经典的质量作用选择可能以某种方式结合,从而使种群能够在复杂的适应性曲面上找到最高峰。他的理论假设种群规模大但具有结构,其中交配在空间上是局部的。如果基因流动足够低,且亚种群(deme)足够小,它们将受到遗传漂变的影响。遥远的亚种群独立漂变,从而允许对适应性曲面进行许多独立的搜索。一个已经转移到更高峰的亚种群可以通过迁移,使其他亚种群也转移到更高峰。这种转移的概率取决于迁移率。先前的研究得出结论,要实现赖特的动态平衡过程(SBP)最后阶段所特有的适应性峰的转移,只需极少的迁移。在此,我们展示了一项计算机研究的结果,该研究调查了扩散距离、适应度曲面中的上位性程度以及重组在动态平衡过程中的作用。特别是,我们测量了它们对种群平均适应度的影响。我们表明,在一系列扩散距离范围内,SBP的优势是上位性数量的单调递增函数。我们的结果表明,导致SBP对增加平均适应度产生最大影响的扩散程度取决于上位性的程度。最后,对于低水平的上位性,较高的重组表现更好,而对于中等水平,较低的重组会使SBP具有更大的优势。

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