祖先重组图的推断与应用
Inference and applications of ancestral recombination graphs.
作者信息
Nielsen Rasmus, Vaughn Andrew H, Deng Yun
机构信息
Department of Integrative Biology and Department of Statistics, UC Berkeley, Berkeley, CA, USA.
GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.
出版信息
Nat Rev Genet. 2025 Jan;26(1):47-58. doi: 10.1038/s41576-024-00772-4. Epub 2024 Sep 30.
Abstract
Ancestral recombination graphs (ARGs) summarize the complex genealogical relationships between individuals represented in a sample of DNA sequences. Their use is currently revolutionizing the field of population genetics and is leading to the development of powerful new methods to elucidate individual and population genetic processes, including population size history, migration, admixture, recombination, mutation and selection. In this Review, we introduce the readers to the structure of ARGs and discuss how they relate to processes such as recombination and genetic drift. We explore differences and similarities between methods of estimating ARGs and provide concrete illustrative examples of how ARGs can be used to elucidate population-level processes.
摘要
祖先重组图（ARGs）概括了DNA序列样本中个体之间复杂的谱系关系。它们的应用目前正在彻底改变群体遗传学领域，并促使开发强大的新方法来阐明个体和群体的遗传过程，包括群体大小历史、迁移、混合、重组、突变和选择。在这篇综述中，我们向读者介绍ARGs的结构，并讨论它们与重组和遗传漂变等过程的关系。我们探讨估计ARGs方法之间的差异和相似之处，并提供具体的示例来说明ARGs如何用于阐明群体水平的过程。
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