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

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 sRN...

Full description

Bibliographic Details
Main Authors: Jia Wang, Wen Yao, Dan Zhu, Weibo Xie, Qifa Zhang
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2015-03-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/03913
_version_ 1811235865601507328
author Jia Wang
Wen Yao
Dan Zhu
Weibo Xie
Qifa Zhang
author_facet Jia Wang
Wen Yao
Dan Zhu
Weibo Xie
Qifa Zhang
author_sort Jia Wang
collection DOAJ
description 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.
first_indexed 2024-04-12T11:59:25Z
format Article
id doaj.art-b1222685c42c4d1c8319e9692b8a3acb
institution Directory Open Access Journal
issn 2050-084X
language English
last_indexed 2024-04-12T11:59:25Z
publishDate 2015-03-01
publisher eLife Sciences Publications Ltd
record_format Article
series eLife
spelling doaj.art-b1222685c42c4d1c8319e9692b8a3acb2022-12-22T03:33:53ZengeLife Sciences Publications LtdeLife2050-084X2015-03-01410.7554/eLife.03913Genetic basis of sRNA quantitative variation analyzed using an experimental population derived from an elite rice hybridJia Wang0Wen Yao1Dan Zhu2Weibo Xie3Qifa Zhang4National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China; National Center of Plant Gene Research, Huazhong Agricultural University, Wuhan, ChinaNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China; National Center of Plant Gene Research, Huazhong Agricultural University, Wuhan, ChinaNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China; National Center of Plant Gene Research, Huazhong Agricultural University, Wuhan, ChinaNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China; National Center of Plant Gene Research, Huazhong Agricultural University, Wuhan, ChinaNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China; National Center of Plant Gene Research, Huazhong Agricultural University, Wuhan, ChinaWe 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.https://elifesciences.org/articles/03913ricegeneticsRNA
spellingShingle Jia Wang
Wen Yao
Dan Zhu
Weibo Xie
Qifa Zhang
Genetic basis of sRNA quantitative variation analyzed using an experimental population derived from an elite rice hybrid
eLife
rice
genetic
sRNA
title Genetic basis of sRNA quantitative variation analyzed using an experimental population derived from an elite rice hybrid
title_full Genetic basis of sRNA quantitative variation analyzed using an experimental population derived from an elite rice hybrid
title_fullStr Genetic basis of sRNA quantitative variation analyzed using an experimental population derived from an elite rice hybrid
title_full_unstemmed Genetic basis of sRNA quantitative variation analyzed using an experimental population derived from an elite rice hybrid
title_short Genetic basis of sRNA quantitative variation analyzed using an experimental population derived from an elite rice hybrid
title_sort genetic basis of srna quantitative variation analyzed using an experimental population derived from an elite rice hybrid
topic rice
genetic
sRNA
url https://elifesciences.org/articles/03913
work_keys_str_mv AT jiawang geneticbasisofsrnaquantitativevariationanalyzedusinganexperimentalpopulationderivedfromanelitericehybrid
AT wenyao geneticbasisofsrnaquantitativevariationanalyzedusinganexperimentalpopulationderivedfromanelitericehybrid
AT danzhu geneticbasisofsrnaquantitativevariationanalyzedusinganexperimentalpopulationderivedfromanelitericehybrid
AT weiboxie geneticbasisofsrnaquantitativevariationanalyzedusinganexperimentalpopulationderivedfromanelitericehybrid
AT qifazhang geneticbasisofsrnaquantitativevariationanalyzedusinganexperimentalpopulationderivedfromanelitericehybrid