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Linkage mapping and association analysis to identify a reliable QTL for stigma exsertion rate in rice
The commercialization of hybrid rice has greatly contributed to the increase in rice yield, with the improvement of its seed production capacity having played an important role. The stigma exsertion rate (SER) is a key factor for improving the outcrossing of the sterile line and the hybrid rice seed...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9445662/ https://www.ncbi.nlm.nih.gov/pubmed/36082291 http://dx.doi.org/10.3389/fpls.2022.982240 |
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author | Liu, Yi Fu, Dong Kong, Deyan Ma, Xiaosong Zhang, Anning Wang, Feiming Wang, Lei Xia, Hui Liu, Guolan Yu, Xinqiao Luo, Lijun |
author_facet | Liu, Yi Fu, Dong Kong, Deyan Ma, Xiaosong Zhang, Anning Wang, Feiming Wang, Lei Xia, Hui Liu, Guolan Yu, Xinqiao Luo, Lijun |
author_sort | Liu, Yi |
collection | PubMed |
description | The commercialization of hybrid rice has greatly contributed to the increase in rice yield, with the improvement of its seed production capacity having played an important role. The stigma exsertion rate (SER) is a key factor for improving the outcrossing of the sterile line and the hybrid rice seed production. We used the Zhenshan 97B × IRAT109 recombinant inbred population comprising 163 lines and a natural population of 138 accessions to decipher the genetic foundation of SER over 2 years in three environments. Additionally, we detected eight QTLs for SER on chromosomes 1, 2, and 8 via linkage mapping. We also identified seven and 19 significant associations for SER using genome-wide association study in 2016 and 2017, respectively. Interestingly, we located two lead SNPs (sf0803343504 and sf083344610) on chromosome 8 in the qTSE8 QTL region that were significantly associated with total SER. After transcriptomic analysis, quantitative real-time PCR, and haplotype analysis, we found 13 genes within this reliable region as important candidate genes. Our study results will be beneficial to molecular marker-assisted selection of rice lines with high outcrossing rate, thereby improving the efficiency of hybrid seed production. |
format | Online Article Text |
id | pubmed-9445662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94456622022-09-07 Linkage mapping and association analysis to identify a reliable QTL for stigma exsertion rate in rice Liu, Yi Fu, Dong Kong, Deyan Ma, Xiaosong Zhang, Anning Wang, Feiming Wang, Lei Xia, Hui Liu, Guolan Yu, Xinqiao Luo, Lijun Front Plant Sci Plant Science The commercialization of hybrid rice has greatly contributed to the increase in rice yield, with the improvement of its seed production capacity having played an important role. The stigma exsertion rate (SER) is a key factor for improving the outcrossing of the sterile line and the hybrid rice seed production. We used the Zhenshan 97B × IRAT109 recombinant inbred population comprising 163 lines and a natural population of 138 accessions to decipher the genetic foundation of SER over 2 years in three environments. Additionally, we detected eight QTLs for SER on chromosomes 1, 2, and 8 via linkage mapping. We also identified seven and 19 significant associations for SER using genome-wide association study in 2016 and 2017, respectively. Interestingly, we located two lead SNPs (sf0803343504 and sf083344610) on chromosome 8 in the qTSE8 QTL region that were significantly associated with total SER. After transcriptomic analysis, quantitative real-time PCR, and haplotype analysis, we found 13 genes within this reliable region as important candidate genes. Our study results will be beneficial to molecular marker-assisted selection of rice lines with high outcrossing rate, thereby improving the efficiency of hybrid seed production. Frontiers Media S.A. 2022-08-23 /pmc/articles/PMC9445662/ /pubmed/36082291 http://dx.doi.org/10.3389/fpls.2022.982240 Text en Copyright © 2022 Liu, Fu, Kong, Ma, Zhang, Wang, Wang, Xia, Liu, Yu and Luo. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Liu, Yi Fu, Dong Kong, Deyan Ma, Xiaosong Zhang, Anning Wang, Feiming Wang, Lei Xia, Hui Liu, Guolan Yu, Xinqiao Luo, Lijun Linkage mapping and association analysis to identify a reliable QTL for stigma exsertion rate in rice |
title | Linkage mapping and association analysis to identify a reliable QTL for stigma exsertion rate in rice |
title_full | Linkage mapping and association analysis to identify a reliable QTL for stigma exsertion rate in rice |
title_fullStr | Linkage mapping and association analysis to identify a reliable QTL for stigma exsertion rate in rice |
title_full_unstemmed | Linkage mapping and association analysis to identify a reliable QTL for stigma exsertion rate in rice |
title_short | Linkage mapping and association analysis to identify a reliable QTL for stigma exsertion rate in rice |
title_sort | linkage mapping and association analysis to identify a reliable qtl for stigma exsertion rate in rice |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9445662/ https://www.ncbi.nlm.nih.gov/pubmed/36082291 http://dx.doi.org/10.3389/fpls.2022.982240 |
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