IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v10y2019i1d10.1038_s41467-019-11017-y.html
   My bibliography  Save this article

Dissecting a heterotic gene through GradedPool-Seq mapping informs a rice-improvement strategy

Author

Listed:
  • Changsheng Wang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Shican Tang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Qilin Zhan

    (Chinese Academy of Sciences)

  • Qingqing Hou

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Yan Zhao

    (Chinese Academy of Sciences)

  • Qiang Zhao

    (Chinese Academy of Sciences)

  • Qi Feng

    (Chinese Academy of Sciences)

  • Congcong Zhou

    (Chinese Academy of Sciences)

  • Danfeng Lyu

    (Chinese Academy of Sciences)

  • Lingling Cui

    (Chinese Academy of Sciences)

  • Yan Li

    (Chinese Academy of Sciences)

  • Jiashun Miao

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Chuanrang Zhu

    (Chinese Academy of Sciences)

  • Yiqi Lu

    (Chinese Academy of Sciences)

  • Yongchun Wang

    (Chinese Academy of Sciences)

  • Ziqun Wang

    (Chinese Academy of Sciences)

  • Jingjie Zhu

    (Chinese Academy of Sciences)

  • Yingying Shangguan

    (Chinese Academy of Sciences)

  • Junyi Gong

    (Chinese Academy of Agricultural Sciences)

  • Shihua Yang

    (Chinese Academy of Agricultural Sciences)

  • Wuqi Wang

    (Fujian Academy of Agricultural Sciences)

  • Jianfu Zhang

    (Fujian Academy of Agricultural Sciences)

  • Huaan Xie

    (Fujian Academy of Agricultural Sciences)

  • Xuehui Huang

    (Shanghai Normal University)

  • Bin Han

    (Chinese Academy of Sciences)

Abstract

Hybrid rice breeding for exploiting hybrid vigor, heterosis, has greatly increased grain yield. However, the heterosis-related genes associated with rice grain production remain largely unknown, partly because comprehensive mapping of heterosis-related traits is still labor-intensive and time-consuming. Here, we present a quantitative trait locus (QTL) mapping method, GradedPool-Seq, for rapidly mapping QTLs by whole-genome sequencing of graded-pool samples from F2 progeny via bulked-segregant analysis. We implement this method and map-based cloning to dissect the heterotic QTL GW3p6 from the female line. We then generate the near isogenic line NIL-FH676::GW3p6 by introgressing the GW3p6 allele from the female line Guangzhan63-4S into the male inbred line Fuhui676. The NIL-FH676::GW3p6 exhibits grain yield highly increased compared to Fuhui676. This study demonstrates that it may be possible to achieve a high level of grain production in inbred rice lines without the need to construct hybrids.

Suggested Citation

  • Changsheng Wang & Shican Tang & Qilin Zhan & Qingqing Hou & Yan Zhao & Qiang Zhao & Qi Feng & Congcong Zhou & Danfeng Lyu & Lingling Cui & Yan Li & Jiashun Miao & Chuanrang Zhu & Yiqi Lu & Yongchun Wa, 2019. "Dissecting a heterotic gene through GradedPool-Seq mapping informs a rice-improvement strategy," Nature Communications, Nature, vol. 10(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11017-y
    DOI: 10.1038/s41467-019-11017-y
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-019-11017-y
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-019-11017-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11017-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.