家畜基因组选择研究进展

doi:10.16288/j.yczz.16-342

遗传 ›› 2017, Vol. 39 ›› Issue (5): 377-387.doi: 10.16288/j.yczz.16-342

家畜基因组选择研究进展

李宏伟(),王瑞军(),王志英,李学武,王振宇,张燕军,苏蕊,刘志红,李金泉()

内蒙古农业大学动物科学学院,动物遗传育种与繁殖重点实验室,呼和浩特 010018

收稿日期:2016-10-17 修回日期:2017-01-15 出版日期:2017-03-20 发布日期:2017-12-25
作者简介:李宏伟,硕士研究生,专业方向：动物遗传育种与繁殖,E-mail: godlovelhw@163.com|王瑞军,博士,助理研究员,研究方向：绒山羊遗传育种。E-mail: nmgwrj@126.com|李金泉,博士,教授,研究方向：绒山羊遗传育种。E-mail: lijinquan_nd@126.com
基金资助:
国家高技术研究发展计划项目(863计划)(2013AA102506);内蒙古自治区科技计划项目,国家自然科学基金项目(31560619,31660639);内蒙古自然科学基金重点项目(2016ZD02);国家公益性行业(农业)科研专项(201303059);国家农业部现代农业产业技术体系项目(CARS-40-05)

The research progress of genomic selection in livestock

Hongwei Li(),Ruijun Wang(),Zhiying Wang,Xuewu Li,Zhenyu Wang,Yanjun Zhang,Rui Su,Zhihong Liu,Jinquan Li()

Inner Mongolia Key Laboratory of Animal Genetics, Breeding and Reproduction, Inner Mongolia Agricultural University, Hohhot 0 10018, China

Received:2016-10-17 Revised:2017-01-15 Online:2017-03-20 Published:2017-12-25
Supported by:
the National High Technology Research and Development Program of China(2013AA102506);the Program of Science and Technology Plan of Inner Mongolia Autonomous Region, the National Natural Science Foundation of China(31560619,31660639);the Key Program of Natural Science Foundation of Inner Mongolia of China(2016ZD02);National Special Fund for Agro-scientific Research in the Public Interest(201303059);the Modern Agricultural Industry Technology System of Ministry of Agriculture of China(CARS-40-05)

摘要/Abstract

摘要：

近年来,随着基因芯片技术的发展与育种技术的进步,动植物的基因组选择成为研究热点。在家畜育种中,基因组选择凭借其准确性高、世代间隔短和育种成本低等优势被应用于各种经济动物的种畜选择中。本文详细介绍了基因分型技术和基因组育种值估计方法(最小二乘法、RR-BLUP法、GBLUP法、ssGBLUP法、贝叶斯A法、贝叶斯B法等),并对这些育种方法选用的标记范围、准确性以及计算速度进行了比较,总结了我国和其他国家基因组选择在种畜选择中的应用情况及存在的问题,展望了目前国内外在基因组选择上的最新研究动态及进展,以期为其他育种工作者进一步了解基因组选择提供参考。

关键词: 基因组选择, 基因分型技术, 基因组育种值估计方法

Abstract:

With the development of gene chip and breeding technology, genomic selection in plants and animals has become research hotspots in recent years. Genomic selection has been extensively applied to all kinds of economic livestock, due to its high accuracy, short generation intervals and low breeding costs. In this review, we summarize genotyping technology and the methods for genomic breeding value estimation, the latter including the least square method, RR-BLUP, GBLUP, ssGBLUP, BayesA and BayesB. We also cover basic principles of genomic selection and compare their genetic marker ranges, genomic selection accuracy and operational speed. In addition, we list common indicators, methods and influencing factors that are related to genomic selection accuracy. Lastly, we discuss latest applications and the current problems of genomic selection at home and abroad. Importantly, we envision future status of genomic selection research, including multi-trait and multi-population genomic selection, as well as impact of whole genome sequencing and dominant effects on genomic selection. This review will provide some venues for other breeders to further understand genome selection.

Key words: genomic selection, genotyping technology, the methods of genomic breeding value estimation

李宏伟,王瑞军,王志英,李学武,王振宇,张燕军,苏蕊,刘志红,李金泉. 家畜基因组选择研究进展[J]. 遗传, 2017, 39(5): 377-387.

Hongwei Li,Ruijun Wang,Zhiying Wang,Xuewu Li,Zhenyu Wang,Yanjun Zhang,Rui Su,Zhihong Liu,Jinquan Li. The research progress of genomic selection in livestock[J]. Hereditas(Beijing), 2017, 39(5): 377-387.

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