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哈比和列万廷论自然种群中的蛋白质变异:当分子遗传学拯救种群遗传学之时。

Hubby and Lewontin on Protein Variation in Natural Populations: When Molecular Genetics Came to the Rescue of Population Genetics.

作者信息

Charlesworth Brian, Charlesworth Deborah, Coyne Jerry A, Langley Charles H

机构信息

Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, EH9 3FL, United Kingdom

Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, EH9 3FL, United Kingdom.

出版信息

Genetics. 2016 Aug;203(4):1497-503. doi: 10.1534/genetics.115.185975.

DOI:10.1534/genetics.115.185975
PMID:27516612
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4981259/
Abstract

The 1966 GENETICS papers by John Hubby and Richard Lewontin were a landmark in the study of genome-wide levels of variability. They used the technique of gel electrophoresis of enzymes and proteins to study variation in natural populations of Drosophila pseudoobscura, at a set of loci that had been chosen purely for technical convenience, without prior knowledge of their levels of variability. Together with the independent study of human populations by Harry Harris, this seminal study provided the first relatively unbiased picture of the extent of genetic variability in protein sequences within populations, revealing that many genes had surprisingly high levels of diversity. These papers stimulated a large research program that found similarly high electrophoretic variability in many different species and led to statistical tools for interpreting the data in terms of population genetics processes such as genetic drift, balancing and purifying selection, and the effects of selection on linked variants. The current use of whole-genome sequences in studies of variation is the direct descendant of this pioneering work.

摘要

约翰·哈比和理查德·卢温廷1966年发表的关于遗传学的论文是全基因组变异水平研究的一个里程碑。他们运用酶和蛋白质的凝胶电泳技术,在一组纯粹出于技术便利性而选择的基因座上,研究了拟暗果蝇自然种群中的变异情况,事先并不了解这些基因座的变异水平。与哈里·哈里斯对人类群体的独立研究一起,这项开创性研究首次相对无偏地描绘了种群内蛋白质序列的遗传变异程度,揭示出许多基因具有惊人的高多样性水平。这些论文推动了一个大型研究项目,该项目在许多不同物种中发现了类似的高电泳变异性,并催生了用于根据群体遗传学过程(如遗传漂变、平衡和纯化选择以及选择对连锁变异的影响)来解释数据的统计工具。目前在变异研究中对全基因组序列的使用是这项开创性工作的直接延续。

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