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十个纽芬兰偏远港口的人口结构。

The population structure of ten Newfoundland outports.

作者信息

Martin L J, Crawford M H, Koertvelyessy T, Keeping D, Collins M, Huntsman R

机构信息

Department of Anthropology, University of Kansas, Lawrence 66045, USA.

出版信息

Hum Biol. 2000 Dec;72(6):997-1016.

Abstract

Island populations are most informative in the study of the genetic structure of human aggregates. These populations are often of small size, thus violating the Hardy-Weinberg assumption of infinite size. Some geographically isolated island populations are further subdivided by religion, ethnicity, and socioeconomic factors, reducing their effective sizes and facilitating genetic changes due to stochastic processes. Because of extreme geographic and social isolation, fishing communities or outports of Newfoundland have been investigated for genetic microdifferentiation through the founder effect and genetic drift (Crawford et al. 1995). The purpose of this paper is to examine the population structure of 10 Newfoundland outports using the allelic frequencies derived from 12 red cell antigens. To achieve this goal, first we calculated gene frequencies using maximum-likelihood estimation procedures. Second, we used R-matrix methods to explore population differentiation. Third, we regressed mean per-locus heterozygosity on genetic distance from the gene frequency centroid to identify the most isolated populations. On the basis of this information, the three outports of Seal Cove, Island Harbor, and Tilting were found to be genetically differentiated from the other small populations. Moreover, religious and geographic subdivisions appear to explain the observed genetic variation.

摘要

在人类群体遗传结构研究中,岛屿群体最具参考价值。这些群体规模往往较小,因此违背了哈迪 - 温伯格平衡中群体规模无限大这一假设。一些地理上孤立的岛屿群体还会因宗教、种族和社会经济因素进一步细分,减小了它们的有效规模,并因随机过程促进了基因变化。由于极端的地理和社会隔离,人们通过奠基者效应和遗传漂变对纽芬兰的渔业社区或外港进行了遗传微分化研究(克劳福德等人,1995年)。本文的目的是利用从12种红细胞抗原得出的等位基因频率,研究10个纽芬兰外港的群体结构。为实现这一目标,首先我们使用最大似然估计程序计算基因频率。其次,我们用R矩阵方法探究群体分化。第三,我们将每个基因座的平均杂合度对与基因频率质心的遗传距离进行回归分析,以确定最孤立的群体。基于这些信息,海豹湾、岛屿港和蒂尔廷这三个外港在基因上与其他小群体有所不同。此外,宗教和地理细分似乎可以解释观察到的遗传变异。

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