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本文引用的文献

1
Scaling expectations for the time to establishment of complex adaptations.为复杂适应的建立时间调整预期。
Proc Natl Acad Sci U S A. 2010 Sep 21;107(38):16577-82. doi: 10.1073/pnas.1010836107. Epub 2010 Sep 7.
2
The rate of establishment of complex adaptations.复杂适应体的建立率。
Mol Biol Evol. 2010 Jun;27(6):1404-14. doi: 10.1093/molbev/msq020. Epub 2010 Jan 29.
3
Time to fixation in the presence of recombination.存在重组时的固定时间。
Theor Popul Biol. 2010 Feb;77(1):23-31. doi: 10.1016/j.tpb.2009.10.005. Epub 2009 Oct 18.
4
Exploring the effect of sex on empirical fitness landscapes.探索性别对经验性适应度景观的影响。
Am Nat. 2009 Jul;174 Suppl 1:S15-30. doi: 10.1086/599081.
5
Competition between recombination and epistasis can cause a transition from allele to genotype selection.重组与上位性之间的竞争可能导致从等位基因选择到基因型选择的转变。
Proc Natl Acad Sci U S A. 2009 Apr 21;106(16):6866-71. doi: 10.1073/pnas.0812560106. Epub 2009 Apr 6.
6
The rate at which asexual populations cross fitness valleys.无性繁殖种群跨越适应度低谷的速率。
Theor Popul Biol. 2009 Jun;75(4):286-300. doi: 10.1016/j.tpb.2009.02.006. Epub 2009 Mar 13.
7
Waiting for two mutations: with applications to regulatory sequence evolution and the limits of Darwinian evolution.等待两种突变:及其在调控序列进化和达尔文进化极限方面的应用
Genetics. 2008 Nov;180(3):1501-9. doi: 10.1534/genetics.107.082610. Epub 2008 Sep 14.
8
Analyzing the evolution of RNA secondary structures in vertebrate introns using Kimura's model of compensatory fitness interactions.使用木村补偿适应性相互作用模型分析脊椎动物内含子中RNA二级结构的演变。
Mol Biol Evol. 2008 Nov;25(11):2483-92. doi: 10.1093/molbev/msn195. Epub 2008 Sep 4.
9
Historical contingency and the evolution of a key innovation in an experimental population of Escherichia coli.历史偶然性与大肠杆菌实验群体中一项关键创新的进化
Proc Natl Acad Sci U S A. 2008 Jun 10;105(23):7899-906. doi: 10.1073/pnas.0803151105. Epub 2008 Jun 4.
10
Rate of adaptive peak shifts with partial genetic robustness.具有部分遗传稳健性时的适应性峰值转移速率。
Evolution. 2007 Aug;61(8):1847-56. doi: 10.1111/j.1558-5646.2007.00166.x.

性种群中适合度峡谷穿越的速率。

The rate of fitness-valley crossing in sexual populations.

机构信息

Institute of Science and Technology Austria, Klosterneuburg, Austria.

出版信息

Genetics. 2010 Dec;186(4):1389-410. doi: 10.1534/genetics.110.123240. Epub 2010 Oct 5.

DOI:10.1534/genetics.110.123240
PMID:20923976
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2998319/
Abstract

Biological traits result in part from interactions between different genetic loci. This can lead to sign epistasis, in which a beneficial adaptation involves a combination of individually deleterious or neutral mutations; in this case, a population must cross a "fitness valley" to adapt. Recombination can assist this process by combining mutations from different individuals or retard it by breaking up the adaptive combination. Here, we analyze the simplest fitness valley, in which an adaptation requires one mutation at each of two loci to provide a fitness benefit. We present a theoretical analysis of the effect of recombination on the valley-crossing process across the full spectrum of possible parameter regimes. We find that low recombination rates can speed up valley crossing relative to the asexual case, while higher recombination rates slow down valley crossing, with the transition between the two regimes occurring when the recombination rate between the loci is approximately equal to the selective advantage provided by the adaptation. In large populations, if the recombination rate is high and selection against single mutants is substantial, the time to cross the valley grows exponentially with population size, effectively meaning that the population cannot acquire the adaptation. Recombination at the optimal (low) rate can reduce the valley-crossing time by up to several orders of magnitude relative to that in an asexual population.

摘要

生物特征部分源于不同基因座之间的相互作用。这可能导致正表型相互作用,其中有益的适应涉及单独有害或中性突变的组合;在这种情况下,种群必须穿过“适应谷”才能适应。重组可以通过组合来自不同个体的突变来辅助这个过程,也可以通过打断适应性组合来减缓这个过程。在这里,我们分析了最简单的适应谷,其中一个适应需要两个基因座的每个突变提供适应优势。我们提出了一个理论分析,研究了重组对跨越所有可能参数范围的适应谷穿越过程的影响。我们发现,低重组率可以使适应谷的穿越速度相对于无性繁殖的情况更快,而较高的重组率则会减缓适应谷的穿越速度,这两种情况之间的转变发生在基因座之间的重组率大约等于适应提供的选择优势的情况下。在大种群中,如果重组率较高且对单突变体的选择很强,则穿越适应谷的时间会随着种群规模呈指数级增长,这实际上意味着种群无法获得适应。与无性繁殖种群相比,最优(低)重组率可以将穿越适应谷的时间减少几个数量级。