家畜品种间的遗传差异--Fst.Fst.Fst.Fst.Fst.Fst.Fst.Fst.

IF 1 Q3 ECONOMICS
Stephen J G Hall
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引用次数: 0

摘要

(1) 背景:Fst 统计量被广泛用于描述品种间的关系。Fst = 0.1 经常被认为表示品种间的遗传差异。本研究探讨了这一观点是否合理。(2) 方法:通过对牛、绵羊、山羊、猪、马和鸡的微卫星和 SNP 研究,建立了一个包含 35080 个品种对及其相应 Fst 值的数据库。总体而言,6560 对(19%)品种配对发生在同一国家的不同品种之间,7395 对(21%)发生在同一地区不同国家的不同品种之间,20563 对(59%)发生在相距甚远的不同品种之间,562 对(1%)发生在一个品种与该物种假定的野生祖先之间。(3) 结果:牛:微卫星 0.06-0.12,SNP 0.08-0.15;羊:微卫星 0.06-0.10,SNP 0.06-0.17;马:微卫星 0.04-0.11,SNP 0.08-0.12;山羊:微卫星 0.04-0.14,SNP 0.08-0.16;猪:微卫星 0.06-0.27,SNP 0.15-0.22;鸡:微卫星 0.05-0.28,SNP 0.08-0.26。(4) 结论:(1)世界上相当一部分家畜品种都有大量的 Fst 数据;(2)由于家畜品种间的变异性很大,品种间 Fst 值为 0.1 并不合适;(3)积累的 Fst 数据可能对跨学科研究有价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic Differentiation among Livestock Breeds-Values for Fst.

(1) Background: The Fst statistic is widely used to characterize between-breed relationships. Fst = 0.1 has frequently been taken as indicating genetic distinctiveness between breeds. This study investigates whether this is justified. (2) Methods: A database was created of 35,080 breed pairs and their corresponding Fst values, deduced from microsatellite and SNP studies covering cattle, sheep, goats, pigs, horses, and chickens. Overall, 6560 (19%) of breed pairs were between breeds located in the same country, 7395 (21%) between breeds of different countries within the same region, 20,563 (59%) between breeds located far apart, and 562 (1%) between a breed and the supposed wild ancestor of the species. (3) Results: General values for between-breed Fst were as follows, cattle: microsatellite 0.06-0.12, SNP 0.08-0.15; sheep: microsatellite 0.06-0.10, SNP 0.06-0.17; horses: microsatellite 0.04-0.11, SNP 0.08-0.12; goats: microsatellite 0.04-0.14, SNP 0.08-0.16; pigs: microsatellite 0.06-0.27, SNP 0.15-0.22; chickens: microsatellite 0.05-0.28, SNP 0.08-0.26. (4) Conclusions: (1) Large amounts of Fst data are available for a substantial proportion of the world's livestock breeds, (2) the value for between-breed Fst of 0.1 is not appropriate owing to its considerable variability, and (3) accumulated Fst data may have value for interdisciplinary research.

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CiteScore
2.00
自引率
8.30%
发文量
7
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