Journal of Integrative Agriculture ›› 2014, Vol. 13 ›› Issue (2): 299-309.DOI: 10.1016/S2095-3119(13)60508-0

• 论文 • 上一篇    下一篇

Major Gene Identification and Quantitative Trait Locus Mapping for Yield- Related Traits in Upland Cotton (Gossypium hirsutum L.)

 XIA Zhe, ZHANG Xin, LIU Yang-yang, JIA Zi-fang, ZHAO Hai-hong, LI Cheng-qi , WANG;Qing-lian   

  1. 1.College of Life Sciences, Henan Normal University, Xinxiang 453003, P.R.China
    2.Key Discipline Open Lab on Crop Molecular Breeding of Henan Institute of Higher Learning/Cotton Research Institute, Henan Institute of Science and Technology, Xinxiang 453003, P.R.China
  • 收稿日期:2013-01-12 出版日期:2014-02-01 发布日期:2014-02-06
  • 通讯作者: WANG Qing-lian, Tel: +86-373-3040389, Fax: +86-373-3040666, E-mail: cottonmol@aliyun.com; LI Cheng-qi, Tel: +86-373-3040389, Fax: +86-373-3040666, E-mail: lichq2010@126.com
  • 作者简介:XIA Zhe
  • 基金资助:

    This work was supported by the National Natural Science Foundation of China (31371677), the High-Tech R&D Program of China (2012AA101108), the Achievements Transformation Project of National Agricultural Science and Technology, China (2010276), the Research and Establishment of Modern Industrial Technology System for National Cotton, China (nycytx-06-09), and the Natural Science Foundation of Henan Province, China (2010A210006).

Major Gene Identification and Quantitative Trait Locus Mapping for Yield- Related Traits in Upland Cotton (Gossypium hirsutum L.)

 XIA Zhe, ZHANG Xin, LIU Yang-yang, JIA Zi-fang, ZHAO Hai-hong, LI Cheng-qi , WANG;Qing-lian   

  1. 1.College of Life Sciences, Henan Normal University, Xinxiang 453003, P.R.China
    2.Key Discipline Open Lab on Crop Molecular Breeding of Henan Institute of Higher Learning/Cotton Research Institute, Henan Institute of Science and Technology, Xinxiang 453003, P.R.China
  • Received:2013-01-12 Online:2014-02-01 Published:2014-02-06
  • Contact: WANG Qing-lian, Tel: +86-373-3040389, Fax: +86-373-3040666, E-mail: cottonmol@aliyun.com; LI Cheng-qi, Tel: +86-373-3040389, Fax: +86-373-3040666, E-mail: lichq2010@126.com
  • About author:XIA Zhe
  • Supported by:

    This work was supported by the National Natural Science Foundation of China (31371677), the High-Tech R&D Program of China (2012AA101108), the Achievements Transformation Project of National Agricultural Science and Technology, China (2010276), the Research and Establishment of Modern Industrial Technology System for National Cotton, China (nycytx-06-09), and the Natural Science Foundation of Henan Province, China (2010A210006).

摘要: Segregation analysis of the mixed genetic model of major gene plus polygene was used to identify the major genes for cotton yield-related traits using six generations P1, P2, F1, B1, B2, and F2 generated from the cross of Baimian 1 × TM-1. In addition to boll size and seed index, the major genes for the other five traits were detected: one each for seed yield, lint percentage, boll number, lint index; and two for lint yield. Quantitative trait locus/loci (QTL) mapping was performed in the F2 and F2:3 populations of above cross through molecular marker technology, and a total of 50 QTL (26 suggestive and 24 significant) for yield-related traits were detected. Four common QTL were discovered: qLP-3b(F2)/qLP-3(F2:3) and qLP-19b (F2)/qLP-19(F2:3) for lint percentage, qBN-17(F2)/qBN-17(F2:3) for boll number, and qBS-26b(F2)/qBS-26(F2:3) for boll size. Especially, qLP- 3b(F2)/qLP-3(F2:3), not only had LOD scores >3 but also exceeded the permutation threshold (5.13 and 5.29, respectively), correspondingly explaining 23.47 and 29.55% of phenotypic variation. This QTL should be considered preferentially in marker assisted selection (MAS). Segregation analysis and QTL mapping could mutually complement and verify, which provides a theoretical basis for genetic improvement of cotton yield-related traits by using major genes (QTL).

关键词: major gene , segregation analysis , QTL mapping , yield-related traits , upland cotton

Abstract: Segregation analysis of the mixed genetic model of major gene plus polygene was used to identify the major genes for cotton yield-related traits using six generations P1, P2, F1, B1, B2, and F2 generated from the cross of Baimian 1 × TM-1. In addition to boll size and seed index, the major genes for the other five traits were detected: one each for seed yield, lint percentage, boll number, lint index; and two for lint yield. Quantitative trait locus/loci (QTL) mapping was performed in the F2 and F2:3 populations of above cross through molecular marker technology, and a total of 50 QTL (26 suggestive and 24 significant) for yield-related traits were detected. Four common QTL were discovered: qLP-3b(F2)/qLP-3(F2:3) and qLP-19b (F2)/qLP-19(F2:3) for lint percentage, qBN-17(F2)/qBN-17(F2:3) for boll number, and qBS-26b(F2)/qBS-26(F2:3) for boll size. Especially, qLP- 3b(F2)/qLP-3(F2:3), not only had LOD scores >3 but also exceeded the permutation threshold (5.13 and 5.29, respectively), correspondingly explaining 23.47 and 29.55% of phenotypic variation. This QTL should be considered preferentially in marker assisted selection (MAS). Segregation analysis and QTL mapping could mutually complement and verify, which provides a theoretical basis for genetic improvement of cotton yield-related traits by using major genes (QTL).

Key words: major gene , segregation analysis , QTL mapping , yield-related traits , upland cotton