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基因转换促进崎岖适应景观上的适应性进化。

Gene Conversion Facilitates Adaptive Evolution on Rugged Fitness Landscapes.

机构信息

BioCircuits Institute, University of California San Diego (UCSD), La Jolla, California 92093-0328

San Diego Center for Systems Biology, La Jolla, California 92093-0688.

出版信息

Genetics. 2017 Dec;207(4):1577-1589. doi: 10.1534/genetics.117.300350. Epub 2017 Oct 4.

Abstract

Gene conversion is a ubiquitous phenomenon that leads to the exchange of genetic information between homologous DNA regions and maintains coevolving multi-gene families in most prokaryotic and eukaryotic organisms. In this paper, we study its implications for the evolution of a single functional gene with a silenced duplicate, using two different models of evolution on rugged fitness landscapes. Our analytical and numerical results show that, by helping to circumvent valleys of low fitness, gene conversion with a passive duplicate gene can cause a significant speedup of adaptation, which depends nontrivially on the frequency of gene conversion and the structure of the landscape. We find that stochastic effects due to finite population sizes further increase the likelihood of exploiting this evolutionary pathway. A universal feature appearing in both deterministic and stochastic analysis of our models is the existence of an optimal gene conversion rate, which maximizes the speed of adaptation. Our results reveal the potential for duplicate genes to act as a "scratch paper" that frees evolution from being limited to strictly beneficial mutations in strongly selective environments.

摘要

基因转换是一种普遍存在的现象,它导致同源 DNA 区域之间遗传信息的交换,并维持大多数原核生物和真核生物中共同进化的多基因家族。在本文中,我们使用两种不同的崎岖适应度景观进化模型,研究了其对具有沉默重复基因的单个功能基因进化的影响。我们的分析和数值结果表明,通过帮助绕过低适应度的山谷,带有被动重复基因的基因转换可以显著加快适应速度,这与基因转换的频率和景观的结构密切相关。我们发现,由于有限的种群大小引起的随机效应进一步增加了利用这种进化途径的可能性。在我们模型的确定性和随机分析中都出现的一个普遍特征是存在一个最优的基因转换率,它可以最大限度地提高适应速度。我们的研究结果揭示了重复基因作为“草稿纸”的潜力,它使进化不再局限于在强选择环境中严格有益的突变。

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本文引用的文献

1
Crossing fitness canyons by a finite population.有限群体穿越适应峡谷。
Phys Rev E. 2017 Jun;95(6-1):062405. doi: 10.1103/PhysRevE.95.062405. Epub 2017 Jun 9.
2
The processive kinetics of gene conversion in bacteria.细菌中基因转换的进行性动力学
Mol Microbiol. 2017 Jun;104(5):752-760. doi: 10.1111/mmi.13661. Epub 2017 Mar 13.
3
Suppression of Beneficial Mutations in Dynamic Microbial Populations.动态微生物群体中有益突变的抑制
Phys Rev Lett. 2017 Jan 13;118(2):028102. doi: 10.1103/PhysRevLett.118.028102. Epub 2017 Jan 12.
6
Genetic robustness and functional evolution of gene duplicates.基因复制品的遗传稳定性和功能进化。
Nucleic Acids Res. 2014 Feb;42(4):2405-14. doi: 10.1093/nar/gkt1200. Epub 2013 Nov 27.
7
Mechanisms of ectopic gene conversion.异位基因转换的机制。
Genes (Basel). 2010 Nov 29;1(3):427-39. doi: 10.3390/genes1030427.
8
Impact of epistasis and pleiotropy on evolutionary adaptation.上位性和多效性对进化适应的影响。
Proc Biol Sci. 2012 Jan 22;279(1727):247-56. doi: 10.1098/rspb.2011.0870. Epub 2011 Jun 22.
9
On the fixation process of a beneficial mutation in a variable environment.有益突变在多变环境中的固定过程。
Genetics. 2011 Aug;188(4):915-30. doi: 10.1534/genetics.110.124297. Epub 2011 Jun 6.
10
The genetic landscape of a cell.细胞的基因图谱。
Science. 2010 Jan 22;327(5964):425-31. doi: 10.1126/science.1180823.

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