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群体遗传学的最新趋势:更多数据!更多数学!简单模型?

Recent trends in population genetics: more data! More math! Simple models?

作者信息

Wakeley J

机构信息

Department of Organismic and Evolutionary Biology, Harvard University, 2102 Biological Laboratories, 16 Divinity Ave., Cambridge, MA 02138, USA.

出版信息

J Hered. 2004 Sep-Oct;95(5):397-405. doi: 10.1093/jhered/esh062.

Abstract

Recent developments in population genetics are reviewed and placed in a historical context. Current and future challenges, both in computational methodology and in analytical theory, are to develop models and techniques to extract the most information possible from multilocus DNA datasets. As an example of the theoretical issues, five limiting forms of the island model of population subdivision with migration are presented in a unified framework. These approximations illustrate the interplay between migration and drift in structuring gene genealogies, and some of them make connections between the fairly complicated island-model genealogical process and the much simpler, unstructured neutral coalescent process which underlies most inferential techniques in population genetics.

摘要

本文回顾了群体遗传学的最新进展,并将其置于历史背景中。当前和未来在计算方法和分析理论方面面临的挑战,是开发模型和技术,以便从多位点DNA数据集中提取尽可能多的信息。作为理论问题的一个例子,在一个统一的框架中给出了具有迁移的群体细分岛屿模型的五种极限形式。这些近似说明了迁移和漂变在构建基因谱系中的相互作用,其中一些在相当复杂的岛屿模型谱系过程和更为简单的、无结构的中性合并过程之间建立了联系,而中性合并过程是群体遗传学中大多数推理技术的基础。

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