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特邀综述:基因组学时代的近亲繁殖:近亲繁殖、近亲繁殖衰退与基因组变异性管理

Invited review: Inbreeding in the genomics era: Inbreeding, inbreeding depression, and management of genomic variability.

作者信息

Howard Jeremy T, Pryce Jennie E, Baes Christine, Maltecca Christian

机构信息

Department of Animal Science, North Carolina State University, Raleigh 27695-7627.

Agriculture Victoria, Agribio, 5 Ring Road, Bundoora 3083, Australia; La Trobe University, Bundoora, Victoria 3086, Australia.

出版信息

J Dairy Sci. 2017 Aug;100(8):6009-6024. doi: 10.3168/jds.2017-12787. Epub 2017 Jun 7.

Abstract

Traditionally, pedigree-based relationship coefficients have been used to manage the inbreeding and degree of inbreeding depression that exists within a population. The widespread incorporation of genomic information in dairy cattle genetic evaluations allows for the opportunity to develop and implement methods to manage populations at the genomic level. As a result, the realized proportion of the genome that 2 individuals share can be more accurately estimated instead of using pedigree information to estimate the expected proportion of shared alleles. Furthermore, genomic information allows genome-wide relationship or inbreeding estimates to be augmented to characterize relationships for specific regions of the genome. Region-specific stretches can be used to more effectively manage areas of low genetic diversity or areas that, when homozygous, result in reduced performance across economically important traits. The use of region-specific metrics should allow breeders to more precisely manage the trade-off between the genetic value of the progeny and undesirable side effects associated with inbreeding. Methods tailored toward more effectively identifying regions affected by inbreeding and their associated use to manage the genome at the herd level, however, still need to be developed. We have reviewed topics related to inbreeding, measures of relatedness, genetic diversity and methods to manage populations at the genomic level, and we discuss future challenges related to managing populations through implementing genomic methods at the herd and population levels.

摘要

传统上,基于系谱的亲缘系数已被用于管理群体内存在的近亲繁殖及近亲繁殖衰退程度。基因组信息在奶牛遗传评估中的广泛应用,为开发和实施基因组水平的群体管理方法提供了契机。因此,相较于使用系谱信息来估计共享等位基因的预期比例,能够更准确地估计两个个体共享的基因组实际比例。此外,基因组信息可用于增强全基因组的亲缘关系或近亲繁殖估计,以表征基因组特定区域的关系。特定区域的片段可用于更有效地管理低遗传多样性区域,或管理那些纯合时会导致经济重要性状表现下降的区域。使用特定区域的指标应能使育种者更精确地权衡后代的遗传价值与近亲繁殖相关的不良副作用。然而,仍需开发更有效地识别受近亲繁殖影响区域的方法及其在畜群水平管理基因组方面的相关应用。我们回顾了与近亲繁殖、亲缘关系度量、遗传多样性以及基因组水平群体管理方法相关的主题,并讨论了在畜群和群体水平实施基因组方法来管理群体所面临的未来挑战。

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