A Model of Epigenetic Inheritance Accounts for Unexpected Adaptation to Unforeseen Challenges

IF 14.1 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY Advanced Science Pub Date : 2025-03-18 DOI:10.1002/advs.202414297
Dino Osmanović, Yitzhak Rabin, Yoav Soen
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Abstract

Accumulated evidence of transgenerational inheritance of epigenetic and symbiotic changes raises fundamental questions about the possible types, significance and duration of impacts on the population, as well as whether, and under which conditions, the inheritance of non-genetic changes confers long-term advantage to the population. To address these questions, a population epigenetics model of individuals undergoing stochastic changes and/or induced responses that are transmitted to the offspringis introduced. Potentially adaptive and maladaptive responses are represented, respectively, by environmentally driven changes that reduce and increase the selective pressure. Analytic solutions in a simplified case of populations that are exposed to either periodic or progressively deteriorating environments shows that acquisition and transmission of non-genetic changes that alleviate the selective pressure confer long-term advantage and may facilitate escape from extinction. Systematic analysis of outcomes as a function of population properties further identifies a non-traditional regime of adaptation mediated by stochastic changes that are rapidly acquired within a lifetime. Contrasting model predictions with experimental findings shows that inheritance of dynamically acquired changes enables rapid adaptation to unforeseen challenges and can account for population dynamics that is either unexpected or beyond the scope of traditional models.

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一种表观遗传模型解释了对不可预见挑战的意外适应。
表观遗传和共生变化的跨代遗传的积累证据提出了一些基本问题,包括对种群影响的可能类型、重要性和持续时间,以及非遗传变化的遗传是否以及在何种条件下给种群带来长期优势。为了解决这些问题,引入了个体经历随机变化和/或诱导反应并传递给后代的群体表观遗传学模型。潜在的适应和不适应反应分别由环境驱动的变化来表示,这些变化减少和增加了选择压力。对暴露于周期性或逐渐恶化的环境中的种群的简化分析结果表明,非遗传变化的获得和传播可以减轻选择压力,从而带来长期优势,并可能有助于避免灭绝。对结果作为种群特性函数的系统分析进一步确定了一种由随机变化介导的非传统适应机制,这种随机变化在一生中迅速获得。模型预测与实验结果的对比表明,动态获得的变化的遗传能够快速适应不可预见的挑战,并可以解释传统模型范围之外的意外种群动态。
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来源期刊
Advanced Science
Advanced Science CHEMISTRY, MULTIDISCIPLINARYNANOSCIENCE &-NANOSCIENCE & NANOTECHNOLOGY
CiteScore
18.90
自引率
2.60%
发文量
1602
审稿时长
1.9 months
期刊介绍: Advanced Science is a prestigious open access journal that focuses on interdisciplinary research in materials science, physics, chemistry, medical and life sciences, and engineering. The journal aims to promote cutting-edge research by employing a rigorous and impartial review process. It is committed to presenting research articles with the highest quality production standards, ensuring maximum accessibility of top scientific findings. With its vibrant and innovative publication platform, Advanced Science seeks to revolutionize the dissemination and organization of scientific knowledge.
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