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农学学报 ›› 2020, Vol. 10 ›› Issue (12): 38-41.doi: 10.11923/j.issn.2095-4050.cjas19020011

所属专题: 生物技术 油料作物

• 农艺科学/生理生化 • 上一篇    下一篇

全基因组重测序在大豆育种上的研究进展

赵海红1(), 郭泰1(), 王志新1, 郑伟1, 李灿东1, 徐杰飞1, 张振宇1, 赵星棋1, 王士强2   

  1. 1黑龙江省农业科学院佳木斯分院,黑龙江佳木斯 154007
    2黑龙江八一农垦大学农学院,黑龙江大庆 163319
  • 收稿日期:2019-02-21 修回日期:2019-05-31 出版日期:2020-12-20 发布日期:2020-12-23
  • 通讯作者: 郭泰 E-mail:haihong51job@163.com;guotaidadou@163.com
  • 作者简介:赵海红,女,1981年出生,黑龙江五常人,助理研究员,硕士,主要从事大豆相关研究。通信地址:154007 黑龙江省佳木斯市安庆街531号,Tel:0454-8351161,E-mail: haihong51job@163.com
  • 基金资助:
    北方早熟大豆优质高产广适新品种培育“国家重点研发项目”(2017YFD0101302-2);主要农作物种质资源创新与规模化制繁种技术研究“黑龙江省重点项目”(GA18B101);优良新品种培育和示范推广国家重点研发项目(2016YFD0101905);国家大豆产业技术体系综合试验站(CARS-04-CES05);大豆等经济作物诱变育种技术与新品种创制“主要农作物诱变育种项目”(2016YFD0102105)

Whole Genome Resequencing in Soybean Breeding: Research Progress

Zhao Haihong1(), Guo Tai1(), Wang Zhixin1, Zheng Wei1, Li Candong1, Xu Jiefei1, Zhang Zhenyu1, Zhao Xingqi1, Wang Shiqiang2   

  1. 1Jiamusi Branch of Heilongjiang Academy of Agricultural Sciences, Jiamusi 154007, Heilongjiang, China
    2College of Agronomy, Heilongjiang Bayi Agricultural University, Daqing 163319, Heilongjiang, China
  • Received:2019-02-21 Revised:2019-05-31 Online:2020-12-20 Published:2020-12-23
  • Contact: Guo Tai E-mail:haihong51job@163.com;guotaidadou@163.com

摘要:

大豆是世界上最重要的油料作物之一。随着基因测序技术的快速发展及广泛应用,大豆育种研究受到了深刻的影响。本文简述了基因测序的主要方法及全基因组重测序在大豆育种、遗传转化研究中的应用,综述了目前全基因组重测序从发现突变位点、揭示进化关系、挖掘功能基因等基因功能和结构的角度,来研究大豆育种及疾病发生过程中的分子机理,为今后基因测序技术在大豆育种中的研究与应用提供参考。

关键词: 大豆育种, 全基因组重测序, 高通量测序技术

Abstract:

Soybean is one of the most important oil crops in the world. With the rapid development and the wide application of gene sequencing technology, soybean breeding research has been deeply affected. This paper briefly described the main methods of gene sequencing and the whole genome resequencing application in soybean breeding and genetic transformation research, summarized the whole genome resequencing to study the molecular mechanisms of soybean breeding and disease development from the perspective of functions and structures of functional genes through discovering mutation sites, revealing evolutionary relationships, and mining functional genes. The study could provide certain reference for the research and application of the gene sequencing technology in the future.

Key words: Soybean Breeding, Whole Genome Resequencing, High-throughput Sequencing

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