Fitness change in relation to mutation number in spontaneous mutation accumulation lines of Chlamydomonas reinhardtii.
Fitness change in relation to mutation number in spontaneous mutation accumulation lines of Chlamydomonas reinhardtii.
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DOI：
10.1111/evo.13360
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发表时间：
2017-12
期刊：
影响因子：
--
通讯作者：
Colegrave N
中科院分区：
文献类型：
--
作者：
Kraemer SA;Böndel KB;Ness RW;Keightley PD;Colegrave N
虽然所有的遗传变异最终都源于突变，但它们的特性很难直接研究。在这里，我们使用了多个突变积累（MA）线来自5个遗传背景的绿色藻类莱茵衣藻，以前已进行全基因组测序调查之间的关系，自发突变的数量和变化的健身从非进化的祖先。MA系平均比它们的祖先适应性差，我们检测到适应性变化与基因组中累积突变总数之间存在显著的负相关性。同样，位于编码区内的突变数量显著且负面地影响MA系适合度。我们使用适应度数据来参数化最大似然模型，以估计突变效应的离散类别，并发现包含一到两个突变效应类别（一个中性和一个有害类别）的模型最适合数据。然而，最佳拟合突变效应模型高度依赖于祖先菌株的遗传背景。
Although all genetic variation ultimately stems from mutations, their properties are difficult to study directly. Here, we used multiple mutation accumulation (MA) lines derived from five genetic backgrounds of the green algae Chlamydomonas reinhardtii that have been previously subjected to whole genome sequencing to investigate the relationship between the number of spontaneous mutations and change in fitness from a nonevolved ancestor. MA lines were on average less fit than their ancestors and we detected a significantly negative correlation between the change in fitness and the total number of accumulated mutations in the genome. Likewise, the number of mutations located within coding regions significantly and negatively impacted MA line fitness. We used the fitness data to parameterize a maximum likelihood model to estimate discrete categories of mutational effects, and found that models containing one to two mutational effect categories (one neutral and one deleterious category) fitted the data best. However, the best‐fitting mutational effects models were highly dependent on the genetic background of the ancestral strain.
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影响因子：
3.3
作者：
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通讯作者：
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de Visser, JAGM;Zeyl, CW;Lenski, RE
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