论文标题
从具有可比突变和脱落率的基因组数据中推断出上毒
Inferring epistasis from genomic data with comparable mutation and outcrossing rate
论文作者
论文摘要
我们考虑由于突变，选择和重组而不断发展的种群，其中选择包括单位级术语（添加剂适应性）和两局术语（成对的上位性适应性）。我们进一步考虑了从人群中基因型分布的一个或几个快照中推断出适应性的问题。在最近的文献中，这是通过施加木村首次在高重组极限下获得的准链式平衡（QLE）制度来完成的。在这里，我们表明该方法还可以在有趣的状态下起作用，在这种情况下，突变的效果与重组相当或大。这导致了一个经过修改的主要同志适应性推断公式，其中突变和重组率一起出现。我们还使用先前开发的高斯闭合来得出此公式，该闭合在不存在重组时正式有效。这些发现是通过数值模拟验证的。
We consider a population evolving due to mutation, selection and recombination, where selection includes single-locus terms (additive fitness) and two-loci terms (pairwise epistatic fitness). We further consider the problem of inferring fitness in the evolutionary dynamics from one or several snap-shots of the distribution of genotypes in the population. In the recent literature this has been done by applying the Quasi-Linkage Equilibrium (QLE) regime first obtained by Kimura in the limit of high recombination. Here we show that the approach also works in the interesting regime where the effects of mutations are comparable to or larger than recombination. This leads to a modified main epistatic fitness inference formula where the rates of mutation and recombination occur together. We also derive this formula using by a previously developed Gaussian closure that formally remains valid when recombination is absent. The findings are validated through numerical simulations.
