Effective size and F-statistics of subdivided populations. I. Monoecious species with partial selfing.

Effective size and F-statistics of subdivided populations. I. Monoecious species with partial selfing.
复制标题

细分群体的有效规模和 F 统计量。

DOI:
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发表时间:
1997
期刊:
影响因子:
3.3
通讯作者:
Jinliang Wang
Jinliang Wang
中科院分区:
生物学2区
文献类型:
--
作者:
Jinliang Wang

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假设离散世代和常染色体遗传涉及的基因,不影响生存能力或繁殖能力,我们已经推导出一个细分的雌雄同株的人口与任意分布的男性和女性配子每个家庭,可变的花粉和种子迁移率,和部分自交的亚群内和之间的近交系数和共祖的递归方程。从方程出发,得到了有效尺寸的计算公式和F统计量的表达式。对于一个特殊的情况下,一个单一的未细分的人口,我们的方程减少到简单的表达式由以前的作者。结果表明,种群结构(细分和迁移)是决定近交系数和有效大小的重要因素。不认识种群的内部结构可能会导致预测有效大小的相当大的偏差。近交系数,即亚群内和亚群间个体间的共祖先,在收敛到相同的渐近增长率之前,在初始世代中以不同的和可变的速率累积。对于一个给定的种群,花粉和种子的迁移率越小,达到渐近迁移率所需的代数越多,渐近有效大小也越大。本文提出的方程可用于进化生物学和保护遗传学的研究。
Assuming discrete generations and autosomal inheritance involving genes that do not affect viability or reproductive ability, we have derived recurrence equations for the inbreeding coefficient and coancestry between individuals within and among subpopulations for a subdivided monoecious population with arbitrary distributions of male and female gametes per family, variable pollen and seed migration rates, and partial selfing. From the equations, formulas for effective size and expressions for F-statistics are obtained. For the special case of a single unsubdivided population, our equations reduce to the simple expressions derived by previous authors. It is shown that population structure (subdivision and migration) is important in determining the inbreeding coefficient and effective size. Failure to recognize internal structures of populations may lead to considerable bias in predicting effective size. Inbreeding coefficient, coancestry between individuals within and among subpopulations accrue at different and variable rates over initial generations before they converge to the same asymptotic rate of increase. For a given population, the smaller the pollen and seed migration rates, the more generations are required to attain the asymptotic rate and the larger the asymptotic effective size. The equations presented herein can be used for the study of evolutionary biology and conservation genetics.