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哪些促进遗传多样性的因素也会促进种群的持续存在?从人口统计学角度看吉莱斯皮的 SAS-CFF 模型。

When do factors promoting genetic diversity also promote population persistence? A demographic perspective on Gillespie's SAS-CFF model.

机构信息

Department of Evolution and Ecology and the Center for Population Biology, University of California, Davis, CA 95616, United States of America.

出版信息

Theor Popul Biol. 2020 Jun;133:141-149. doi: 10.1016/j.tpb.2019.07.013. Epub 2019 Sep 3.

Abstract

Classical stochastic demography predicts that environmental stochasticity reduces population growth rates and, thereby, can increase extinction risk. In contrast, in a 1978 Theoretical Population Biology paper, Gillespie demonstrated with his stochastic additive scale and concave fitness function (SAS-CFF) model that environmental stochasticity can promote genetic diversity. Extending the SAS-CFF to account for demography, I examine the simultaneous effects of environmental stochasticity on genetic diversity and population persistence. Explicit expressions for the per-capita growth rates of rare alleles and the population at low-density are derived. Consistent with Gillespie's analysis, if the log-fitness function is concave and allelic responses to the environment are not perfectly correlated, then per-capita growth rates of rare alleles are positive and genetic diversity is maintained in the sense of stochastic persistence i.e. allelic frequencies tend to stay away from zero almost-surely and in probability. Alternatively, if the log-fitness function is convex, then per-capita growth rates of rare alleles are negative and an allele asymptotically fixates with probability one. If the population's low-density, per-capita growth rate is positive, then the population persists in the sense of stochastic persistence, else it goes asymptotically extinct with probability one. In contrast to per-capita growth rates of rare alleles, the population's per-capita growth rate is a decreasing function of the concavity of the log-fitness function. Moreover, when the log-fitness function is concave, allelic diversity increases the population's per-capita growth rate while decreasing the per-capita growth rate of rare alleles; when the log-fitness function is convex, environmental stochasticity decreases the per-capita growth rate of rare alleles, but increases the population's per-capita growth rate. Collectively, these results (i) highlight how mechanisms promoting population persistence may be at odds with mechanisms promoting genetic diversity, and (ii) provide conditions under which population persistence relies on existing standing genetic variation.

摘要

经典的随机种群动态学预测,环境随机性会降低种群增长率,从而增加灭绝风险。相反,在 1978 年的一篇《理论生物学杂志》论文中,Gillespie 用他的随机附加尺度和凹形适合度函数 (SAS-CFF) 模型证明,环境随机性可以促进遗传多样性。通过扩展 SAS-CFF 来考虑种群动态学,我研究了环境随机性对遗传多样性和种群持续存在的同时影响。推导出稀有等位基因和低密度种群的人均增长率的显式表达式。与 Gillespie 的分析一致,如果对数适合度函数是凹的,并且等位基因对环境的反应不完全相关,那么稀有等位基因的人均增长率是正的,遗传多样性在随机持续的意义上得到维持,即等位基因频率几乎肯定地远离零,且在概率上保持。相反,如果对数适合度函数是凸的,那么稀有等位基因的人均增长率是负的,一个等位基因几乎肯定以概率 1固定。如果种群的低密度、人均增长率是正的,那么种群在随机持续的意义上持续存在,否则它几乎肯定以概率 1渐近灭绝。与稀有等位基因的人均增长率不同,种群的人均增长率是对数适合度函数凹度的递减函数。此外,当对数适合度函数是凹的时,等位基因多样性增加了种群的人均增长率,同时降低了稀有等位基因的人均增长率;当对数适合度函数是凸的时,环境随机性降低了稀有等位基因的人均增长率,但增加了种群的人均增长率。总的来说,这些结果(i)强调了促进种群持续存在的机制如何与促进遗传多样性的机制不一致,(ii)提供了种群持续存在依赖于现有遗传变异的条件。

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