Department of Biology, University of Florida, Gainesville, FL 32611, USA.
Department of Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA.
Genetics. 2024 Oct 7;228(2). doi: 10.1093/genetics/iyae136.
The distribution of fitness effects of new mutations plays a central role in evolutionary biology. Estimates of the distribution of fitness effect from experimental mutation accumulation lines are compromised by the complete linkage disequilibrium between mutations in different lines. To reduce the linkage disequilibrium, we constructed 2 sets of recombinant inbred lines from a cross of 2 Caenorhabditis elegans mutation accumulation lines. One set of lines ("RIAILs") was intercrossed for 10 generations prior to 10 generations of selfing; the second set of lines ("RILs") omitted the intercrossing. Residual linkage disequilibrium in the RIAILs is much less than in the RILs, which affects the inferred distribution of fitness effect when the sets of lines are analyzed separately. The best-fit model estimated from all lines (RIAILs + RILs) infers a large fraction of mutations with positive effects (∼40%); models that constrain mutations to have negative effects fit much worse. The conclusion is the same using only the RILs. For the RIAILs, however, models that constrain mutations to have negative effects fit nearly as well as models that allow positive effects. When mutations in high linkage disequilibrium are pooled into haplotypes, the inferred distribution of fitness effect becomes increasingly negative-skewed and leptokurtic. We conclude that the conventional wisdom-most mutations have effects near 0, a handful of mutations have effects that are substantially negative, and mutations with positive effects are very rare-is likely correct, and that unless it can be shown otherwise, estimates of the distribution of fitness effect that infer a substantial fraction of mutations with positive effects are likely confounded by linkage disequilibrium.
新突变的适合度效应分布在进化生物学中起着核心作用。从实验性突变积累系中估计适合度效应的分布受到不同系之间突变完全连锁不平衡的影响。为了减少连锁不平衡,我们从 2 个 Caenorhabditis elegans 突变积累系的杂交中构建了 2 组重组近交系。一组系(“RIAILs”)在自交前进行了 10 代的互交;第二组系(“RILs”)省略了互交。RIAILs 中的残余连锁不平衡远小于 RILs,这会影响分别分析两组系时推断出的适合度效应分布。从所有系(RIAILs+RILs)中推断出的最佳拟合模型估计有很大一部分突变具有正效应(约 40%);约束突变具有负效应的模型拟合得差得多。仅使用 RILs 也是如此。然而,对于 RIAILs,约束突变具有负效应的模型拟合得几乎与允许正效应的模型一样好。当高连锁不平衡的突变被汇集到单倍型中时,推断出的适合度效应分布变得越来越负偏态和尖峰。我们的结论是,传统观点——大多数突变的效应接近 0,少数突变的效应明显为负,具有正效应的突变非常罕见——很可能是正确的,除非有证据表明,推断出具有正效应的突变的比例很大的适合度效应分布的估计很可能受到连锁不平衡的影响。