Journal of Integrative Agriculture ›› 2016, Vol. 15 ›› Issue (1): 42-49.DOI: 10.1016/S2095-3119(15)61046-2

• 论文 • 上一篇    下一篇

Identification of additional QTLs for flowering time by removing the effect of the maturity gene E1 in soybean

 LU Si-jia, LI Ying, WANG Jia-lin, NAN Hai-yang, CAO Dong, LI Xiao-ming, SHI Dan-ning, FANG Chao, SHI Xin-yi, YUAN Xiao-hui, Jun Abe, LIU Bao-hui, KONG Fan-jiang   

  1. 1、Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of
    Sciences, Harbin 150081, P.R.China
    2、University of Chinese Academy of Sciences, Beijing 100049, P.R.China
    3、State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, P.R.China
    4、Research Faculty of Agriculture, Hokkaido University, Sapporo 060-8589, Japan
  • 收稿日期:2015-01-13 出版日期:2016-01-08 发布日期:2016-01-11
  • 通讯作者: KONG Fan-jiang, Tel/Fax: +86-451-86691226, E-mail: kongfj@iga.ac.cn; LIU Bao-hui, Tel/Fax: +86-451-86685735, E-mail: liubh@iga.ac.cn
  • 作者简介:LU Si-jia, E-mail: jmslsj0310@163.com;* These authors contributed equally to this study.
  • 基金资助:

    Supported by the National Natural Science Foundation of China (31430065, 31571686,31201222 and 31371643), the Open Foundation of the Key Laboratory of Soybean Molecular Design Breeding, the “Hundred Talents” Program of the CAAS the Strategic Action Plan for Science and Technology Innovation of the Chinese Academy of Sciences (XDA08030108), the Natural Science Foundation of Heilongjiang Province, China (ZD201001,JC201313), the Research and Development of Applied Technology Project, Harbin, China (2014RFQYJ055), the Scientific Research Foundation for Returned Chinese Scholars of Heilongjiang Province, China (LC201417), the Science Foundation for Creative Research Talents of Harbin Science and Technology Bureau, China (2014RFQYJ046).

Identification of additional QTLs for flowering time by removing the effect of the maturity gene E1 in soybean

 LU Si-jia, LI Ying, WANG Jia-lin, NAN Hai-yang, CAO Dong, LI Xiao-ming, SHI Dan-ning, FANG Chao, SHI Xin-yi, YUAN Xiao-hui, Jun Abe, LIU Bao-hui, KONG Fan-jiang   

  1. 1、Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of
    Sciences, Harbin 150081, P.R.China
    2、University of Chinese Academy of Sciences, Beijing 100049, P.R.China
    3、State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, P.R.China
    4、Research Faculty of Agriculture, Hokkaido University, Sapporo 060-8589, Japan
  • Received:2015-01-13 Online:2016-01-08 Published:2016-01-11
  • Contact: KONG Fan-jiang, Tel/Fax: +86-451-86691226, E-mail: kongfj@iga.ac.cn; LIU Bao-hui, Tel/Fax: +86-451-86685735, E-mail: liubh@iga.ac.cn
  • About author:LU Si-jia, E-mail: jmslsj0310@163.com;* These authors contributed equally to this study.
  • Supported by:

    Supported by the National Natural Science Foundation of China (31430065, 31571686,31201222 and 31371643), the Open Foundation of the Key Laboratory of Soybean Molecular Design Breeding, the “Hundred Talents” Program of the CAAS the Strategic Action Plan for Science and Technology Innovation of the Chinese Academy of Sciences (XDA08030108), the Natural Science Foundation of Heilongjiang Province, China (ZD201001,JC201313), the Research and Development of Applied Technology Project, Harbin, China (2014RFQYJ055), the Scientific Research Foundation for Returned Chinese Scholars of Heilongjiang Province, China (LC201417), the Science Foundation for Creative Research Talents of Harbin Science and Technology Bureau, China (2014RFQYJ046).

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摘要： The adaptability of soybean to be grown at a wide range of latitudes is attributed to natural variation in the major genes and quantitative trait loci (QTLs) that control flowering time and maturity. Thus, the identification of genes controlling flowering time and maturity and the understanding of their molecular basis are critical for improving soybean productivity. However, due to the great effect of the major maturity gene E1 on flowering time, it is difficult to detect other small-effect QTLs. In this study, aiming to reduce the effect of the QTL, associated with the E1 gene, on the detection of other QTLs, we divided a population of 96 recombinant inbred lines (RILs) into two sub-populations: one with the E1 allele and another with the e1nl allele. Compared with the results of using all 96 recombinant inbred lines, additional QTLs for flowering time were identified in the sub-populations, two (qFT-B1 and qFT-H) in RILs with the E1 allele and one (qFT-J-2) in the RILs with the e1nl allele, respectively. The three QTLs, qFT-B1, qFT-H and qFT-J-2 were true QTLs and played an important role in the regulation of growth period. Our data provides valuable information for the genetic mapping and gene cloning of traits controlling flowering time and maturity and will help a better understanding of the mechanism of photoperiod-regulated flowering and molecular breeding in soybean.

关键词: multiple QTL model (MQM) , mixed model-based composite interval mapping (MCIM) , photoperiod , maturity , productivity

Abstract: The adaptability of soybean to be grown at a wide range of latitudes is attributed to natural variation in the major genes and quantitative trait loci (QTLs) that control flowering time and maturity. Thus, the identification of genes controlling flowering time and maturity and the understanding of their molecular basis are critical for improving soybean productivity. However, due to the great effect of the major maturity gene E1 on flowering time, it is difficult to detect other small-effect QTLs. In this study, aiming to reduce the effect of the QTL, associated with the E1 gene, on the detection of other QTLs, we divided a population of 96 recombinant inbred lines (RILs) into two sub-populations: one with the E1 allele and another with the e1nl allele. Compared with the results of using all 96 recombinant inbred lines, additional QTLs for flowering time were identified in the sub-populations, two (qFT-B1 and qFT-H) in RILs with the E1 allele and one (qFT-J-2) in the RILs with the e1nl allele, respectively. The three QTLs, qFT-B1, qFT-H and qFT-J-2 were true QTLs and played an important role in the regulation of growth period. Our data provides valuable information for the genetic mapping and gene cloning of traits controlling flowering time and maturity and will help a better understanding of the mechanism of photoperiod-regulated flowering and molecular breeding in soybean.

Key words: multiple QTL model (MQM) , mixed model-based composite interval mapping (MCIM) , photoperiod , maturity , productivity