遗传数据收集、系谱和系统发育

Emily G. Simmonds, Alina K. Niskanen, H. Jensen, S. Smith
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引用次数: 0

摘要

本章介绍遗传数据在人口统计学研究中的作用。它侧重于人口统计分析中面临的两个特殊挑战,这些挑战可以使用遗传数据来解决:估计种群中个体之间的亲缘关系和确定生活史中跨分类群变异的驱动因素。估计亲缘关系的挑战是通过遗传谱系来解决的,系统发育允许对不同分类群的生活史的驱动因素进行比较。这两种不同的方法有几个统一的特点和历史。在这两种情况下,过去对观测数据的依赖限制了人口分析的分类广度,降低了准确性。随着基因数据收集和处理的最新进展,加上计算方法的改进,我们现在可以利用基因数据扩展整个生命之树的人口统计分析。本章概述了构建遗传谱系和重建遗传系统发生的整个过程:从最先进的技术开始,通过获取和处理遗传材料所需的数据收集步骤,最后讨论和比较了构建遗传谱系和系统发生树的各种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic data collection, pedigrees, and phylogenies
This chapter presents the role of genetic data in demographic studies. It focuses on two particular challenges faced in demographic analyses that can be solved using genetic data: estimating relatedness between individuals in a population and identifying drivers of cross-taxon variation in life history. The challenge of estimating relatedness is addressed with genetic pedigrees, and phylogenies allow comparisons of drivers of life history across taxa. These two different methods have several unifying features and histories. A past reliance on observational data in both cases limited taxonomic breadth of demographic analyses and reduced accuracy. With recent advances in genetic data collection and processing, in addition to improved computational methods, we are now in a position to use genetic data to expand demographic analyses across the Tree of Life. This chapter gives an overview of the whole process of constructing genetic pedigrees and reconstructing genetic phylogenies: beginning with the state-of-the-art, walking through the data collection steps required to obtain and process genetic material, and finishing with discussion and comparison of the diverse array of methods to construct genetic pedigrees and phylogenetic trees.
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