Distribution of variation over populations
Distribution of variation over populations
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DOI：
10.1007/s12064-009-0064-1
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发表时间：
2009-08-01
影响因子：
1.1
通讯作者：
Gregorius, Hans-Rolf
中科院分区：
文献类型：
--
作者：
Gregorius, Hans-Rolf
了解遗传或表型变异在种群中的分布意义是种群遗传学和生态学研究的核心问题之一。研究的重要性决定性地取决于用于评估种群内和种群间变异量的措施。常见的方法可以分为两个方面：区分和分摊。前者侧重于群体间性状分布的差异（距离），后者考虑群体间总体性状变异的划分。特别是当研究多个总体时，分配视角通常被优先考虑（通过F（ST）/G（ST）指数），即使其他视角也是相关的。这两种观点之间的差异以及它们共同的概念基础可以通过将它们与性状状态和群体隶属关系之间的关联联系联系起来来揭示。结果表明，群体隶属度与性状状态的关联和性状状态与群体隶属度的关联这两个方向分别反映了群体的分化和分配观点。当结合这两种观点，并应用建议的措施的关联，新的和有效的分析方法的结果，概述了人口遗传过程。总之，关联的方法来分析种群的性状变异的分布，解决了经常遇到的问题，分配的角度来看，其通常应用的措施，在种群遗传学和生态学，提出了新的和更全面的分析方法，包括模式的分化和分配。
Understanding the significance of the distribution of genetic or phenotypic variation over populations is one of the central concerns of population genetic and ecological research. The import of the research decisively depends on the measures that are applied to assess the amount of variation residing within and between populations. Common approaches can be classified under two perspectives: differentiation and apportionment. While the former focuses on differences (distances) in trait distribution between populations, the latter considers the division of the overall trait variation among populations. Particularly when multiple populations are studied, the apportionment perspective is usually given preference (via F (ST)/G (ST) indices), even though the other perspective is also relevant. The differences between the two perspectives as well as their joint conceptual basis can be exposed by referring them to the association between trait states and population affiliations. It is demonstrated that the two directions, association of population affiliation with trait state and of trait state with population affiliation, reflect the differentiation and the apportionment perspective, respectively. When combining both perspectives and applying the suggested measure of association, new and efficient methods of analysis result, as is outlined for population genetic processes. In conclusion, the association approach to an analysis of the distribution of trait variation over populations resolves problems that are frequently encountered with the apportionment perspective and its commonly applied measures in both population genetics and ecology, suggesting new and more comprehensive methods of analysis that include patterns of differentiation and apportionment.