Geometric Insights into Evolutionary Rescue Dynamics in a Two-Deme Model.

IF 3.1 2区 环境科学与生态学 Q2 ECOLOGY
Evolution Pub Date : 2025-02-11 DOI:10.1093/evolut/qpaf021
Azadeh Mohammadi, Paulo R A Campos
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引用次数: 0

Abstract

Understanding evolutionary rescue mechanisms in fragmented populations is crucial in the context of rapidly changing environments. This study employs analytical derivations and simulations within a two-deme metapopulation model using Fisher's geometric model (FGM) framework. We explore the impacts of abrupt environmental changes on two subpopulations that lead to distinct phe- notypic optima. We determine the probability density of distances between these optima through analytical derivations. This enables us to calculate the inter- section volume of the rescue domains of two subpopulations in the phenotypic space. This approach also allows us to assess the fixation probability of muta- tions that concurrently rescue both subpopulations and identify the domain of one-step rescue mutations. Our findings reveal that the likelihood of joint evolu- tionary rescue diminishes with increasing dimensionality of the phenotypic space, posing significant challenges for species with complex trait configurations. The study underscores the importance of genetic variation due to de novo mutations, local adaptation, and migration rates. These insights enhance our understanding of the factors that govern the adaptive potential of fragmented populations in response to severe environmental disturbances.

几何洞察进化救援动力学在一个二deme模型。
在快速变化的环境中,理解碎片化种群的进化救援机制至关重要。本研究利用Fisher的几何模型(FGM)框架,在二元人口模型中进行了解析推导和模拟。我们探讨了突变的环境变化对两个亚种群的影响,导致不同的非典型最优。我们通过解析推导确定这些最优点之间距离的概率密度。这使我们能够计算两个亚种群在表型空间中的拯救域的截面体积。这种方法还允许我们评估同时拯救两个亚种群的突变的固定概率,并确定一步拯救突变的域。我们的研究结果表明,联合进化拯救的可能性随着表型空间维度的增加而减少,这对具有复杂性状配置的物种构成了重大挑战。该研究强调了由新生突变、局部适应和迁移率引起的遗传变异的重要性。这些见解增强了我们对控制碎片化种群对严重环境干扰的适应潜力的因素的理解。
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
Evolution
Evolution 环境科学-进化生物学
CiteScore
5.00
自引率
9.10%
发文量
0
审稿时长
3-6 weeks
期刊介绍: Evolution, published for the Society for the Study of Evolution, is the premier publication devoted to the study of organic evolution and the integration of the various fields of science concerned with evolution. The journal presents significant and original results that extend our understanding of evolutionary phenomena and processes.
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