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首页> 外文期刊>Genetics: A Periodical Record of Investigations Bearing on Heredity and Variation >Inferring selective history from multilocus frequency data: Wright meets the Hamiltonian.
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Inferring selective history from multilocus frequency data: Wright meets the Hamiltonian.

机译:从多位点频率数据推断选择性历史:赖特遇到哈密顿量。

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Genetics, Vol 132, 277-288, Copyright ? 1992 | * * */hr | || | ### INVESTIGATIONS | G. A. Fox and A. Hastings /br Division of Environmental Studies, Center for Population Biology, University of California, Davis, California 95616 Address for correspondence: Division of Environmental Studies, University of California, Davis, California 95616. Address reprint requests to A.H. We describe a method to study characteristics of the dynamics of multilocus population genetic models without specifying the form of selection a priori. Our approach consists of specifying initial and final genotypic frequencies (either completely or partially) and then determining the minimum time to go from the initial condition to the final condition according to a continuous time genetic model, with arbitrary constraints on the strength and possibly the form of selection. In analyzing a two-locus, two-allele model with this approach, we show that-so long as r is not much larger than s-substantial linkage disequilibrium can be generated from an initial state of linkage equilibrium in a few hundred generations. We also show that unless recombination is much larger than selection, there is only weak dependence on r of the minimum time to reach a specified state. Thus, similar strengths of selection can lead to similar levels of disequilibrium over a fixed time and a range of small recombination rates. This implies that, within the level of a single gene, selection cannot in general be assumed to lead to any particular relationship between recombination rate and levels of disequilibrium. We indicate a number of other ways in which our method can be useful in asking theoretical questions and in interpreting data.
机译:遗传学,第132卷,第277-288页,版权所有? 1992 | * * * | || | ###调查| GA Fox和A. Hastings 加州大学戴维斯分校,人口生物学中心环境研究系95616致函地址:加州大学戴维斯分校,加利福尼亚大学环境研究系95616。 AH我们描述了一种方法,用于研究多基因座种群遗传模型的动力学特性,而无需指定先验选择的形式。我们的方法包括指定初始和最终基因型频率(完全或部分),然后根据连续时间遗传模型确定从初始状态到最终状态的最短时间,对强度和形式可能有任意限制选择。用这种方法分析两基因座,两等位基因模型时,我们表明-只要r不大于s-可以从几百代的连锁平衡初始状态中产生大量连锁不平衡。我们还表明,除非重组比选择大得多,否则对达到指定状态的最短时间仅依赖r很小。因此,相似的选择强度可导致在固定时间内相似水平的不平衡,并导致较小的重组率。这意味着,在单个基因的水平内,通常不能假定选择会导致重组率与不平衡水平之间的任何特定关系。我们指出了许多其他方法,这些方法可用于提出理论问题和解释数据。

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