Mutational Interference and the Progression of Muller's Ratchet When Mutations Have a Broad Range of Deleterious Effects

Mutational Interference and the Progression of Muller's Ratchet When Mutations Have a Broad Range of Deleterious Effects
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当突变具有广泛的有害影响时,突变干扰和穆勒棘轮的进展

DOI:
10.1534/genetics.107.073791
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发表时间:
2007
期刊:
影响因子:
3.3
通讯作者:
O. Berg
O. Berg
中科院分区:
生物学2区
文献类型:
--
作者:
R. Söderberg;O. Berg

文献摘要

参考文献

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有害突变可以通过被称为穆勒棘轮的过程在无性单倍体基因组中积累。文献中描述的这一过程主要是在假设所有突变对适应度有相同影响的情况下。在更现实的情况下,有害的突变会对适应度产生广泛的影响,从几乎中性到致命。为了阐明棘轮在这种更现实的情况下的行为,我们在多个模型中进行了模拟,其中一个模型中,所有突变对选择的影响都是相同的[一维(1D)模型],一个模型中,有害突变可以分为两组,具有不同的选择效应[二维(2D)模型],最后一个模型中,有害效应是分布的。这些模型的行为表明,有害突变可以分为三种不同的类别,这样每一种的行为都可以用一种直接的方式来描述。这使得它有可能预测一个任意分布的适应度效应的棘轮率使用的结果,为充分研究的一维模型与单一选择系数。该描述经过了测试,并在选择系数由指数分布导出的模拟中显示出良好的效果。
Deleterious mutations can accumulate in asexual haploid genomes through the process known as Muller's ratchet. This process has been described in the literature mostly for the case where all mutations are assumed to have the same effect on fitness. In the more realistic situation, deleterious mutations will affect fitness with a wide range of effects, from almost neutral to lethal. To elucidate the behavior of the ratchet in this more realistic case, simulations were carried out in a number of models, one where all mutations have the same effect on selection [one-dimensional (1D) model], one where the deleterious mutations can be divided into two groups with different selective effects [two-dimensional (2D) model], and finally one where the deleterious effects are distributed. The behavior of these models suggests that deleterious mutations can be classified into three different categories, such that the behavior of each can be described in a straightforward way. This makes it possible to predict the ratchet rate for an arbitrary distribution of fitness effects using the results for the well-studied 1D model with a single selection coefficient. The description was tested and shown to work well in simulations where selection coefficients are derived from an exponential distribution.
DOI: 10.1093/oxfordjournals.molbev.a025557
发表时间: 1996-01-01
影响因子: 10.7
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影响因子: 3.3
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