Genetic basis of sRNA quantitative variation analyzed using an experimental population derived from an elite rice hybrid

  1. Jia Wang
  2. Wen Yao
  3. Dan Zhu
  4. Weibo Xie
  5. Qifa Zhang  Is a corresponding author
  1. Huazhong Agricultural University, China

Abstract

We performed a genetic analysis of sRNA abundance in flag leaf from an immortalized F2 (IMF2) population in rice. We identified 53,613,739 unique sRNAs and 165,797 sRNA expression traits (s-traits). A total of 66,649 s-traits mapped 40,049 local-sQTLs and 30,809 distant-sQTLs. By defining 80,362 sRNA clusters, 22,263 sRNA cluster QTLs (scQTLs) were recovered for 20,249 of all the 50,139 sRNA cluster expression traits (sc-traits). The expression levels for most of s-traits from the same genes or the same sRNA clusters were slightly positively correlated. While genetic co-regulation between sRNAs from the same mother genes and between sRNAs and their mother genes was observed for a portion of the sRNAs, most of the sRNAs and their mother genes showed little co-regulation. Some sRNA biogenesis genes were located in distant-sQTL hotspots and showed correspondence with specific length classes of sRNAs suggesting their important roles in the regulation and biogenesis of the sRNAs.

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Author details

  1. Jia Wang

    National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
    Competing interests
    The authors declare that no competing interests exist.
  2. Wen Yao

    National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
    Competing interests
    The authors declare that no competing interests exist.
  3. Dan Zhu

    National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
    Competing interests
    The authors declare that no competing interests exist.
  4. Weibo Xie

    National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
    Competing interests
    The authors declare that no competing interests exist.
  5. Qifa Zhang

    National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
    For correspondence
    qifazh@mail.hzau.edu.cn
    Competing interests
    The authors declare that no competing interests exist.

Copyright

© 2015, Wang et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

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  1. Jia Wang
  2. Wen Yao
  3. Dan Zhu
  4. Weibo Xie
  5. Qifa Zhang
(2015)
Genetic basis of sRNA quantitative variation analyzed using an experimental population derived from an elite rice hybrid
eLife 4:e03913.
https://doi.org/10.7554/eLife.03913

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https://doi.org/10.7554/eLife.03913