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遗传变异性的理论和数值评估。

A theoretical and numerical assessment of genetic variability.

机构信息

Department of Mathematics Stanford University, Stanford, California 94305.

出版信息

Genetics. 1981 Feb;97(2):475-93. doi: 10.1093/genetics/97.2.475.

DOI:10.1093/genetics/97.2.475
PMID:17249079
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1214405/
Abstract

The equilibrium behavior of one-locus viability selection models is studied numerically. The selection schemes include randomly chosen viabilities, viabilities chosen to measure a hypothetical distance between the alleles making up the genotype and viabilities that obey various allelic dominance relations. From 3 to 8 alleles are considered. Among the key conclusions are (1) equilibria that are most polymorphic do not usually have the highest mean fitness, (2) the more structure there is in the choice of the viability model, the greater is the level of polymorphism at equilibrium, and (3) for the numbers of alleles chosen here, the equilibrium reached by iteration from the centroid of the allele frequency simplex is the best predictor of the equilibrium attainable from randomly chosen starting vectors. Preliminary evidence shows that this is not the case for 16 alleles.

摘要

本文通过数值方法研究了单基因座生存力选择模型的平衡行为。选择方案包括随机选择的生存力、用于测量构成基因型的等位基因之间假设距离的生存力以及服从各种等位基因显性关系的生存力。考虑了 3 到 8 个等位基因。主要结论包括:(1)最具多态性的平衡态通常没有最高的平均适合度;(2)在选择生存力模型时结构越多,平衡态的多态性水平就越高;(3)对于选择的等位基因数量,从等位基因频率单纯形的质心迭代得到的平衡态是随机选择起始向量的可达到平衡态的最佳预测。初步证据表明,对于 16 个等位基因,情况并非如此。

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