Population Size in Evolutionary Biology Is More Than the Effective Size

IF 3.5 2区 生物学 Q1 EVOLUTIONARY BIOLOGY Evolutionary Applications Pub Date : 2024-10-22 DOI:10.1111/eva.70029
Joachim Mergeay
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Abstract

In population genetics idealized Wright-Fisher (WF) populations are generally considered equivalent to real populations with regard to the major evolutionary processes that influence genotype and allele frequencies. As a result we often model the response of populations by focusing on the effective size Ne. The Diversity Partitioning Theorem (DPT) shows that you cannot model the behavior of a system solely on the basis of a diversity (accounting for unevenness among items) without taking richness into account. I show that the census population size (the number of adults, Nc) is equivalent to a richness, and that the effective size Ne is equivalent to a true diversity. It follows logically from the DPT that we require both Ne and Nc to understand how drift, selection, mutation, and gene flow interact to shape the course of evolution of populations. Here I review evidence that both Nc and Ne affect evolutionary trajectories of populations for neutral and adaptive processes. This also influences how we should consider evolutionary potential and genetic criteria for conservation of populations. The effective size of a population is of huge importance in evolutionary biology, but it should not be the sole focus when population size is concerned. Applied evolutionary studies need to integrate Nc in the equation more consistently when modeling the response to selection, mutation, migration, and drift.

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进化生物学中的种群规模不仅仅是有效规模。
在种群遗传学中,就影响基因型和等位基因频率的主要进化过程而言,理想化的赖特-费舍(WF)种群通常被认为等同于真实种群。因此,我们通常通过关注有效大小 N e 来模拟种群的反应。多样性分区定理(DPT)表明,如果不考虑丰富度,就不能仅根据多样性(考虑项目间的不均衡性)来模拟系统的行为。我的研究表明,普查种群数量(成虫数量,N c)等同于丰富度,而有效种群数量 N e 等同于真正的多样性。根据 DPT 的逻辑推理,我们需要 N e 和 N c 才能理解漂移、选择、变异和基因流是如何相互作用以形成种群进化过程的。在此,我将回顾 N c 和 N e 对中性和适应性过程的种群进化轨迹产生影响的证据。这也影响了我们应该如何考虑种群保护的进化潜力和遗传标准。种群的有效规模在进化生物学中非常重要,但在涉及种群规模时,它不应是唯一的关注点。应用进化研究在模拟对选择、突变、迁移和漂移的反应时,需要更一致地将 N c 纳入方程。
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来源期刊
Evolutionary Applications
Evolutionary Applications 生物-进化生物学
CiteScore
8.50
自引率
7.30%
发文量
175
审稿时长
6 months
期刊介绍: Evolutionary Applications is a fully peer reviewed open access journal. It publishes papers that utilize concepts from evolutionary biology to address biological questions of health, social and economic relevance. Papers are expected to employ evolutionary concepts or methods to make contributions to areas such as (but not limited to): medicine, agriculture, forestry, exploitation and management (fisheries and wildlife), aquaculture, conservation biology, environmental sciences (including climate change and invasion biology), microbiology, and toxicology. All taxonomic groups are covered from microbes, fungi, plants and animals. In order to better serve the community, we also now strongly encourage submissions of papers making use of modern molecular and genetic methods (population and functional genomics, transcriptomics, proteomics, epigenetics, quantitative genetics, association and linkage mapping) to address important questions in any of these disciplines and in an applied evolutionary framework. Theoretical, empirical, synthesis or perspective papers are welcome.
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