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首页> 外文期刊>Annals of the New York Academy of Sciences >In Darwinian evolution, feedback from natural selection leads to biased mutations
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In Darwinian evolution, feedback from natural selection leads to biased mutations

机译:在达尔文进化中,自然选择的反馈会导致突变

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摘要

Natural selection provides feedback through which information about the environment and its recurring challenges is captured, inherited, and accumulated within genomes in the form of variations that contribute to survival. The variation upon which natural selection acts is generally described as "random." Yet evidence has been mounting for decades, from such phenomena as mutation hotspots, horizontal gene transfer, and highly mutable repetitive sequences, that variation is far from the simplifying idealization of random processes as white (uniform in space and time and independent of the environment or context). This paper focuses on what is known about the generation and control of mutational variation, emphasizing that it is not uniform across the genome or in time, not unstructured with respect to survival, and is neither memoryless nor independent of the (also far from white) environment. We suggest that, as opposed to frequentist methods, Bayesian analysis could capture the evolution of nonuniform probabilities of distinct classes of mutation, and argue not only that the locations, styles, and timing of real mutations are not correctly modeled as generated by a white noise random process, but that such a process would be inconsistent with evolutionary theory.
机译:自然选择提供反馈,通过该反馈以有助于生存的变异形式在基因组内捕获,继承和积累有关环境及其反复出现的挑战的信息。自然选择所依据的变化通常被描述为“随机”。然而,数十年来,从诸如突变热点,水平基因转移和高度可变的重复序列等现象中获得的证据不断增多,这种变化远没有简化随机过程的理想化,如白色(时空均匀,不受环境或环境的影响)。上下文)。本文着重于对突变变异的产生和控制的了解,强调突变变异在整个基因组或时间上不是统一的,在生存方面不是非结构化的,并且既没有记忆也没有独立性(也远非白人)环境。我们建议,与频繁性方法相反,贝叶斯分析可以捕获不同类别突变的非均匀概率的演变,并且不仅认为真实突变的位置,样式和时间未正确建模为由白噪声产生随机过程,但是这样的过程将与进化理论不一致。

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