Transient mutation bias increases the predictability of evolution on an empirical genotype-phenotype landscape.

Transient mutation bias increases the predictability of evolution on an empirical genotype-phenotype landscape.
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DOI:
10.1098/rstb.2022.0043
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发表时间:
2023-05-22
影响因子:
6.3
通讯作者:
Taylor, Tiffany B. B.
Taylor, Tiffany B. B.
中科院分区:
生物学1区
文献类型:
--
作者:
Horton, James S. S.;Ali, Shani U. P.;Taylor, Tiffany B. B.

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预测一个群体将如何驾驭一个基因-表型格局,需要结合选择和突变偏向来考虑,这可能会扭曲遵循特定轨迹的可能性。强大和持久的定向选择可以推动种群向顶峰攀升。然而,随着更多的高峰和更多的到达它们的路线,适应不可避免地变得更难预测。瞬时突变偏向只作用于一个突变步骤,通过在适应性行走的早期偏向突变轨迹,可以影响景观的通航性。这将不断进化的人群设置在一条特定的路径上,限制了可到达的路线的数量,并使某些高峰和路线比其他更有可能实现。在这项工作中,我们使用一个模型系统来研究这种瞬时突变偏向是否可以可靠和可预测地将群体置于突变轨道上,使群体达到最强的选择表型,或者引导群体实现较差的表型结果。为此,我们使用了从荧光假单胞菌SBW25的祖先非运动变体进化而来的运动突变体,其中一个轨迹显示出显著的突变偏向。利用这个系统,我们解释了一个经验的基因-表型图景,其中爬山过程代表着运动性表型的强度增加,揭示了瞬时突变偏差可以促进快速和可预测的上升到最强的观察到的表型,而不是同等和较差的轨迹。本文是“预测进化生物学的跨学科方法”主题的一部分。
Predicting how a population will likely navigate a genotype–phenotype landscape requires consideration of selection in combination with mutation bias, which can skew the likelihood of following a particular trajectory. Strong and persistent directional selection can drive populations to ascend toward a peak. However, with a greater number of peaks and more routes to reach them, adaptation inevitably becomes less predictable. Transient mutation bias, which operates only on one mutational step, can influence landscape navigability by biasing the mutational trajectory early in the adaptive walk. This sets an evolving population upon a particular path, constraining the number of accessible routes and making certain peaks and routes more likely to be realized than others. In this work, we employ a model system to investigate whether such transient mutation bias can reliably and predictably place populations on a mutational trajectory to the strongest selective phenotype or usher populations to realize inferior phenotypic outcomes. For this we use motile mutants evolved from ancestrally non-motile variants of the microbe Pseudomonas fluorescens SBW25, of which one trajectory exhibits significant mutation bias. Using this system, we elucidate an empirical genotype–phenotype landscape, where the hill-climbing process represents increasing strength of the motility phenotype, to reveal that transient mutation bias can facilitate rapid and predictable ascension to the strongest observed phenotype in place of equivalent and inferior trajectories. This article is part of the theme issue ‘Interdisciplinary approaches to predicting evolutionary biology’.
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