从重组近交系秀丽隐杆线虫突变积累品系中直接推断自发突变的适应效应分布。

IF 3.3 3区 生物学 Q2 GENETICS & HEREDITY Genetics Pub Date : 2024-10-07 DOI:10.1093/genetics/iyae136
Timothy A Crombie, Moein Rajaei, Ayush Shekhar Saxena, Lindsay M Johnson, Sayran Saber, Robyn E Tanny, José Miguel Ponciano, Erik C Andersen, Juannan Zhou, Charles F Baer
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引用次数: 0

摘要

新突变的适应性效应分布(DFE)在生物进化中起着核心作用。由于不同品系的突变之间存在完全的连锁不平衡(LD),因此实验性突变累积(MA)品系对适存效应分布的估计受到了影响。为了降低 LD,我们从两个秀丽隐杆线虫 MA 株系杂交构建了两组重组近交系。其中一组品系("RIAILs")在自交十代之前进行了十代杂交;第二组品系("RILs")则省略了杂交。RIAILs 中的残余 LD 远远小于 RILs 中的残余 LD,这影响了分别分析这两组品系时推断的 DFE。根据所有品系(RIAILs + RILs)估计的最佳拟合模型推断出了很大一部分具有正效应的突变(∼40%);限制突变具有负效应的模型的拟合效果要差得多。仅用 RILs 得出的结论是一样的。然而,对于 RIAILs,限制突变具有负效应的模型的拟合效果几乎与允许正效应的模型一样好。当高LD突变被汇集到单倍型中时,推断出的DFE变得越来越负偏和左旋。我们的结论是,传统的观点--大多数突变的效应接近于零,少数突变的效应基本上是负的,而具有正效应的突变非常罕见--很可能是正确的,除非能够证明不是这样,否则推断出相当一部分突变具有正效应的 DFE 估计值很可能受到 LD 的干扰。
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Direct inference of the distribution of fitness effects of spontaneous mutations from recombinant inbred Caenorhabditis elegans mutation accumulation lines.

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.

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来源期刊
Genetics
Genetics GENETICS & HEREDITY-
CiteScore
6.90
自引率
6.10%
发文量
177
审稿时长
1.5 months
期刊介绍: GENETICS is published by the Genetics Society of America, a scholarly society that seeks to deepen our understanding of the living world by advancing our understanding of genetics. Since 1916, GENETICS has published high-quality, original research presenting novel findings bearing on genetics and genomics. The journal publishes empirical studies of organisms ranging from microbes to humans, as well as theoretical work. While it has an illustrious history, GENETICS has changed along with the communities it serves: it is not your mentor''s journal. The editors make decisions quickly – in around 30 days – without sacrificing the excellence and scholarship for which the journal has long been known. GENETICS is a peer reviewed, peer-edited journal, with an international reach and increasing visibility and impact. All editorial decisions are made through collaboration of at least two editors who are practicing scientists. GENETICS is constantly innovating: expanded types of content include Reviews, Commentary (current issues of interest to geneticists), Perspectives (historical), Primers (to introduce primary literature into the classroom), Toolbox Reviews, plus YeastBook, FlyBook, and WormBook (coming spring 2016). For particularly time-sensitive results, we publish Communications. As part of our mission to serve our communities, we''ve published thematic collections, including Genomic Selection, Multiparental Populations, Mouse Collaborative Cross, and the Genetics of Sex.
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