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我们能从等位基因频率中多好地推断选择益处和突变率?

How Well Can We Infer Selection Benefits and Mutation Rates from Allele Frequencies?

作者信息

Soriano Jonathan, Marzen Sarah

机构信息

W. M. Keck Science Department, Pitzer, Scripps, and Claremont McKenna College, Claremont, CA 91711, USA.

出版信息

Entropy (Basel). 2023 Apr 4;25(4):615. doi: 10.3390/e25040615.

Abstract

Experimentalists observe allele frequency distributions and try to infer mutation rates and selection coefficients. How easy is this? We calculate limits to their ability in the context of the Wright-Fisher model by first finding the maximal amount of information that can be acquired using allele frequencies about the mutation rate and selection coefficient- at least 2 bits per allele- and then by finding how the organisms would have shaped their mutation rates and selection coefficients so as to maximize the information transfer.

摘要

实验人员观察等位基因频率分布,并试图推断突变率和选择系数。这有多容易呢?我们在赖特 - 费希尔模型的背景下计算了他们的能力极限,首先通过找到利用等位基因频率可获取的关于突变率和选择系数的最大信息量——每个等位基因至少2比特,然后通过研究生物体如何塑造其突变率和选择系数以最大化信息传递。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9dc4/10137336/2743dc1501fa/entropy-25-00615-g0A1.jpg

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