Three modes of evolution? Remarks on rates of evolution and time scaling.

IF 2.1 3区 生物学 Q3 ECOLOGY
Thomas F Hansen
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引用次数: 0

Abstract

Rates of evolution get smaller when they are measured over longer time intervals. As first shown by Gingerich, rates of morphological change measured from fossil time series show a robust minus-one scaling with time span, implying that evolutionary changes are just as large when measured over a hundred years as when measured over a hundred-thousand years. On even longer time scales, however, the scaling shifts toward a minus-half exponent consistent with evolution behaving as Brownian motion, as commonly observed in phylogenetic comparative studies. Here, I discuss how such scaling patterns arise, and I derive the patterns expected from standard stochastic models of evolution. I argue that observed shifts cannot be easily explained by simple univariate models, but require shifts in mode of evolution as time scale is changing. To illustrate this idea, I present a hypothesis about three distinct, but connected, modes of evolution. I analyze the scaling patterns predicted from this, and use the results to discuss how rates of evolution should be measured and interpreted. I argue that distinct modes of evolution at different time scales act to decouple micro- and macroevolution, and criticize various attempts at extrapolating from one to the other.

三种演变模式?关于演变速度和时间比例的说明。
当进化的时间跨度越长,进化的速率就越小。正如金吉利奇(Gingerich)首先指出的那样,从化石时间序列中测出的形态变化率与时间跨度呈稳健的负一缩放关系,这意味着在一百年内测出的进化变化与在十万年内测出的进化变化一样大。然而,在更长的时间尺度上,缩放比例会转向负半指数,这与系统发育比较研究中常见的布朗运动进化行为一致。在此,我将讨论这种缩放模式是如何产生的,并推导出标准随机进化模型所预期的模式。我认为,简单的单变量模型无法轻易解释观察到的变化,而需要随着时间尺度的变化而改变进化模式。为了说明这一观点,我提出了关于三种不同但相互关联的进化模式的假设。我分析了由此预测的缩放模式,并利用分析结果讨论如何测量和解释进化速率。我认为,不同时间尺度上的不同进化模式起到了将微观进化与宏观进化分离的作用,并批评了从微观进化推断宏观进化的各种尝试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Evolutionary Biology
Journal of Evolutionary Biology 生物-进化生物学
CiteScore
4.20
自引率
4.80%
发文量
152
审稿时长
3-6 weeks
期刊介绍: It covers both micro- and macro-evolution of all types of organisms. The aim of the Journal is to integrate perspectives across molecular and microbial evolution, behaviour, genetics, ecology, life histories, development, palaeontology, systematics and morphology.
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