表观基因组、基因组和环境之间相互作用的进化后果。

IF 3.5 2区 生物学 Q1 EVOLUTIONARY BIOLOGY Evolutionary Applications Pub Date : 2024-07-23 DOI:10.1111/eva.13730
Pierre Baduel, Iris Sammarco, Rowan Barrett, Marta Coronado-Zamora, Amélie Crespel, Bárbara Díez-Rodríguez, Janay Fox, Dario Galanti, Josefa González, Alexander Jueterbock, Eric Wootton, Ewan Harney
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引用次数: 0

摘要

表观基因组是一整套相互作用的化学标记和分子,有助于形成发育模式、表型可塑性和基因调控,部分原因是表观基因组对环境刺激的反应能力。人们越来越有兴趣了解这种敏感性在生态现实条件下的功能和进化重要性。据观察,表观遗传变异在自然种群中比比皆是,这促使人们猜测,表观遗传变异可能会促进对快速环境扰动(如气候变化下发生的环境扰动)的进化反应。一个经常引起争议的问题是,表观遗传变异是反映遗传变异还是独立于遗传变异。基因组和表观基因组往往紧密相连、相互依存。虽然许多表观遗传变异是由基因决定的,但反之亦然,DNA 序列的变化会受到表观遗传标记的影响。因此,了解表观基因组、基因组和环境如何相互作用是解释表观基因组变异的更广泛进化后果的重要一步。我们借鉴了在不同动植物物种中开展的实验和比较研究的结果,综合了我们目前对这些因素如何相互作用形成自然种群表型变异的理解,重点是识别分类群之间的相似性和差异性。我们描述了表观基因组的主要组成部分,以及它们在类群内部和类群之间的差异。我们回顾了表观基因组的变异如何与遗传特征和环境决定因素相互作用,重点是转座元件(TE)在整合表观基因组、基因组和环境方面的作用。此外,我们还关注了最近对这些相互作用的功能和进化后果进行的研究。尽管自然界中的表观遗传分化很可能往往是随机表观突变的漂移或选择的结果,但越来越多的证据表明,相当一部分表观遗传分化是可以稳定遗传的,因此可以独立于基因变化而促进进化。
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The evolutionary consequences of interactions between the epigenome, the genome and the environment

The epigenome is the suite of interacting chemical marks and molecules that helps to shape patterns of development, phenotypic plasticity and gene regulation, in part due to its responsiveness to environmental stimuli. There is increasing interest in understanding the functional and evolutionary importance of this sensitivity under ecologically realistic conditions. Observations that epigenetic variation abounds in natural populations have prompted speculation that it may facilitate evolutionary responses to rapid environmental perturbations, such as those occurring under climate change. A frequent point of contention is whether epigenetic variants reflect genetic variation or are independent of it. The genome and epigenome often appear tightly linked and interdependent. While many epigenetic changes are genetically determined, the converse is also true, with DNA sequence changes influenced by the presence of epigenetic marks. Understanding how the epigenome, genome and environment interact with one another is therefore an essential step in explaining the broader evolutionary consequences of epigenomic variation. Drawing on results from experimental and comparative studies carried out in diverse plant and animal species, we synthesize our current understanding of how these factors interact to shape phenotypic variation in natural populations, with a focus on identifying similarities and differences between taxonomic groups. We describe the main components of the epigenome and how they vary within and between taxa. We review how variation in the epigenome interacts with genetic features and environmental determinants, with a focus on the role of transposable elements (TEs) in integrating the epigenome, genome and environment. And we look at recent studies investigating the functional and evolutionary consequences of these interactions. Although epigenetic differentiation in nature is likely often a result of drift or selection on stochastic epimutations, there is growing evidence that a significant fraction of it can be stably inherited and could therefore contribute to evolution independently of genetic change.

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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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