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变化环境中的进化与灭绝:定量遗传学分析

EVOLUTION AND EXTINCTION IN A CHANGING ENVIRONMENT: A QUANTITATIVE-GENETIC ANALYSIS.

作者信息

Bürger Reinhard, Lynch Michael

机构信息

Institut für Mathematik, Universität Wien, Strudlhofgasse 4, A-1090, Wien, Austria.

Department of Biology, University of Oregon, Eugene, Oregon, 97403.

出版信息

Evolution. 1995 Feb;49(1):151-163. doi: 10.1111/j.1558-5646.1995.tb05967.x.

Abstract

Because of the ubiquity of genetic variation for quantitative traits, virtually all populations have some capacity to respond evolutionarily to selective challenges. However, natural selection imposes demographic costs on a population, and if these costs are sufficiently large, the likelihood of extinction will be high. We consider how the mean time to extinction depends on selective pressures (rate and stochasticity of environmental change, and strength of selection), population parameters (carrying capacity, and reproductive capacity), and genetics (rate of polygenic mutation). We assume that in a randomly mating, finite population subject to density-dependent population growth, individual fitness is determined by a single quantitative-genetic character under Gaussian stabilizing selection with the optimum phenotype exhibiting directional change, or random fluctuations, or both. The quantitative trait is determined by a finite number of freely recombining, mutationally equivalent, additive loci. The dynamics of evolution and extinction are investigated, assuming that the population is initially under mutation-selection-drift balance. Under this model, in a directionally changing environment, the mean phenotype lags behind the optimum, but on the average evolves parallel to it. The magnitude of the lag determines the vulnerability to extinction. In finite populations, stochastic variation in the genetic variance can be quite pronounced, and bottlenecks in the genetic variance temporarily can impair the population's adaptive capacity enough to cause extinction when it would otherwise be unlikely in an effectively infinite population. We find that maximum sustainable rates of evolution or, equivalently, critical rates of environmental change, may be considerably less than 10% of a phenotypic standard deviation per generation.

摘要

由于数量性状的遗传变异普遍存在,实际上所有种群都具有一定的能力在进化上应对选择性挑战。然而,自然选择会给种群带来人口统计学成本,如果这些成本足够大,灭绝的可能性就会很高。我们考虑灭绝的平均时间如何取决于选择压力(环境变化的速率和随机性以及选择强度)、种群参数(承载能力和繁殖能力)以及遗传学(多基因突变率)。我们假设在一个随机交配、有限的种群中,其种群增长受密度制约,个体适合度由单个数量遗传性状决定,该性状处于高斯稳定选择之下,最优表型呈现出定向变化、随机波动或两者皆有。数量性状由有限数量的自由重组、突变等效的加性基因座决定。假设种群最初处于突变 - 选择 - 漂变平衡状态,对进化和灭绝的动态进行研究。在此模型下,在定向变化的环境中,平均表型滞后于最优表型,但平均而言与最优表型平行进化。滞后的程度决定了灭绝的脆弱性。在有限种群中,遗传方差的随机变化可能相当显著,遗传方差的瓶颈效应可能会暂时削弱种群的适应能力,以至于在有效无限的种群中原本不太可能灭绝的情况下导致灭绝。我们发现,最大可持续进化速率,或者等效地说,环境变化的临界速率,可能远低于每代一个表型标准差的10%。

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