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重测序数据在禽类养殖中的价值:一个蛋鸡养殖者的视角。

The value of resequence data for poultry breeding: a primary layer breeder perspective.

机构信息

Hy-Line International, PO Box 310, Dallas Center, IA 50063.

出版信息

Poult Sci. 2014 Feb;93(2):494-7. doi: 10.3382/ps.2013-03556.

Abstract

Poultry breeding companies are facing a new paradigm. Since 2004, extensive resources have been developed to increase understanding of the fundamental biology of the chicken. The chicken genome has been sequenced and revised twice, millions of novel DNA variants have been identified, and new tools have been created that allow rapid and inexpensive detection of these DNA variations. These developments have led to the establishment of molecular-based breeding programs within major poultry breeding companies that are revolutionizing the primary poultry breeding industries. Costs of sequencing continue to drop and are predicted to eventually reach the point where it is feasible to sequence the entire genome of elite birds before selection. There are multiple challenges to be resolved before this information can be fully incorporated into a breeding program. These include handling and analyzing the extremely large data sets generated, understanding which genes, variants, or both are relevant for commercial production traits, development of new bio-informatic tools, and integration of molecular information with traditional breeding programs. The novel variation identified within elite commercial lines will lead to enhancements in commercial breeding programs. Applications of this information include whole genomic selection, parentage identification, trait association studies, and quality control.

摘要

家禽养殖企业正面临着一个全新的模式。自 2004 年以来,人们投入了大量资源,以增进对鸡的基础生物学的理解。鸡的基因组已经被测序并修订了两次,数以百万计的新的 DNA 变体已经被鉴定出来,并且创造了新的工具,可以快速且廉价地检测这些 DNA 变体。这些发展导致了主要家禽养殖企业内部建立了基于分子的育种计划,从而彻底改变了主要的家禽养殖行业。测序成本持续下降,预计最终将达到在选择之前对优质禽类的整个基因组进行测序的可行阶段。在这些信息可以被充分纳入到一个育种计划之前,还有许多挑战需要解决。这些包括处理和分析生成的极其庞大的数据集,了解哪些基因、变体或两者都与商业生产性状相关,开发新的生物信息学工具,以及将分子信息与传统的育种计划相结合。在优质商业品系中发现的新变异将导致商业育种计划的改进。该信息的应用包括全基因组选择、亲子关系鉴定、性状关联研究和质量控制。

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