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用于群体遗传学的微卫星数据分析。

Microsatellite data analysis for population genetics.

作者信息

Kim Kyung Seok, Sappington Thomas W

机构信息

College of Veterinary Medicine, Seoul National University, Seoul, South Korea.

出版信息

Methods Mol Biol. 2013;1006:271-95. doi: 10.1007/978-1-62703-389-3_19.

Abstract

Theories and analytical tools of population genetics have been widely applied for addressing various questions in the fields of ecological genetics, conservation biology, and any context where the role of dispersal or gene flow is important. Underlying much of population genetics is the analysis of variation at selectively neutral marker loci, and microsatellites continue to be a popular choice of marker. In recent decades, software programs to estimate population genetics parameters have been developed at an increasing pace as computational science and theoretical knowledge advance. Numerous population genetics software programs are presently available to analyze microsatellite genotype data, but only a handful are commonly employed for calculating parameters such as genetic variation, genetic structure, patterns of spatial and temporal gene flow, population demography, individual population assignment, and genetic relationships within and between populations. In this chapter, we introduce statistical analyses and relevant population genetic software programs that are commonly employed in the field of population genetics and molecular ecology.

摘要

群体遗传学的理论和分析工具已被广泛应用于解决生态遗传学、保护生物学以及任何涉及扩散或基因流作用重要的领域中的各种问题。群体遗传学的许多基础是对选择性中性标记位点变异的分析,而微卫星仍然是一种常用的标记选择。近几十年来,随着计算科学和理论知识的进步,用于估计群体遗传学参数的软件程序开发速度不断加快。目前有许多群体遗传学软件程序可用于分析微卫星基因型数据,但通常只有少数程序用于计算诸如遗传变异、遗传结构、时空基因流模式、种群统计学、个体种群归属以及种群内部和种群之间的遗传关系等参数。在本章中,我们介绍了群体遗传学和分子生态学领域中常用的统计分析方法和相关的群体遗传学软件程序。

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