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New Candidate Genes Affecting Rice Grain Appearance and Milling Quality Detected by Genome-Wide and Gene-Based Association Analyses
Appearance and milling quality are two crucial properties of rice grains affecting its market acceptability. Understanding the genetic base of rice grain quality could considerably improve the high quality breeding. Here, we carried out an association analysis to identify QTL affecting nine rice gra...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5209347/ https://www.ncbi.nlm.nih.gov/pubmed/28101096 http://dx.doi.org/10.3389/fpls.2016.01998 |
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author | Wang, Xiaoqian Pang, Yunlong Wang, Chunchao Chen, Kai Zhu, Yajun Shen, Congcong Ali, Jauhar Xu, Jianlong Li, Zhikang |
author_facet | Wang, Xiaoqian Pang, Yunlong Wang, Chunchao Chen, Kai Zhu, Yajun Shen, Congcong Ali, Jauhar Xu, Jianlong Li, Zhikang |
author_sort | Wang, Xiaoqian |
collection | PubMed |
description | Appearance and milling quality are two crucial properties of rice grains affecting its market acceptability. Understanding the genetic base of rice grain quality could considerably improve the high quality breeding. Here, we carried out an association analysis to identify QTL affecting nine rice grain appearance and milling quality traits using a diverse panel of 258 accessions selected from 3K Rice Genome Project and evaluated in two environments Sanya and Shenzhen. Genome-wide association analyses using 22,488 high quality SNPs identified 72 QTL affecting the nine traits. Combined gene-based association and haplotype analyses plus functional annotation allowed us to shortlist 19 candidate genes for seven important QTL regions affecting the grain quality traits, including two cloned genes (GS3 and TUD), two fine mapped QTL (qGRL7.1 and qPGWC7) and three newly identified QTL (qGL3.4, qGW1.1, and qGW10.2). The most likely candidate gene(s) for each important QTL were also discussed. This research demonstrated the superior power to shortlist candidate genes affecting complex phenotypes by the strategy of combined GWAS, gene-based association and haplotype analyses. The identified candidate genes provided valuable sources for future functional characterization and genetic improvement of rice appearance and milling quality. |
format | Online Article Text |
id | pubmed-5209347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-52093472017-01-18 New Candidate Genes Affecting Rice Grain Appearance and Milling Quality Detected by Genome-Wide and Gene-Based Association Analyses Wang, Xiaoqian Pang, Yunlong Wang, Chunchao Chen, Kai Zhu, Yajun Shen, Congcong Ali, Jauhar Xu, Jianlong Li, Zhikang Front Plant Sci Plant Science Appearance and milling quality are two crucial properties of rice grains affecting its market acceptability. Understanding the genetic base of rice grain quality could considerably improve the high quality breeding. Here, we carried out an association analysis to identify QTL affecting nine rice grain appearance and milling quality traits using a diverse panel of 258 accessions selected from 3K Rice Genome Project and evaluated in two environments Sanya and Shenzhen. Genome-wide association analyses using 22,488 high quality SNPs identified 72 QTL affecting the nine traits. Combined gene-based association and haplotype analyses plus functional annotation allowed us to shortlist 19 candidate genes for seven important QTL regions affecting the grain quality traits, including two cloned genes (GS3 and TUD), two fine mapped QTL (qGRL7.1 and qPGWC7) and three newly identified QTL (qGL3.4, qGW1.1, and qGW10.2). The most likely candidate gene(s) for each important QTL were also discussed. This research demonstrated the superior power to shortlist candidate genes affecting complex phenotypes by the strategy of combined GWAS, gene-based association and haplotype analyses. The identified candidate genes provided valuable sources for future functional characterization and genetic improvement of rice appearance and milling quality. Frontiers Media S.A. 2017-01-04 /pmc/articles/PMC5209347/ /pubmed/28101096 http://dx.doi.org/10.3389/fpls.2016.01998 Text en Copyright © 2017 Wang, Pang, Wang, Chen, Zhu, Shen, Ali, Xu and Li. http://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) or licensor 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 Wang, Xiaoqian Pang, Yunlong Wang, Chunchao Chen, Kai Zhu, Yajun Shen, Congcong Ali, Jauhar Xu, Jianlong Li, Zhikang New Candidate Genes Affecting Rice Grain Appearance and Milling Quality Detected by Genome-Wide and Gene-Based Association Analyses |
title | New Candidate Genes Affecting Rice Grain Appearance and Milling Quality Detected by Genome-Wide and Gene-Based Association Analyses |
title_full | New Candidate Genes Affecting Rice Grain Appearance and Milling Quality Detected by Genome-Wide and Gene-Based Association Analyses |
title_fullStr | New Candidate Genes Affecting Rice Grain Appearance and Milling Quality Detected by Genome-Wide and Gene-Based Association Analyses |
title_full_unstemmed | New Candidate Genes Affecting Rice Grain Appearance and Milling Quality Detected by Genome-Wide and Gene-Based Association Analyses |
title_short | New Candidate Genes Affecting Rice Grain Appearance and Milling Quality Detected by Genome-Wide and Gene-Based Association Analyses |
title_sort | new candidate genes affecting rice grain appearance and milling quality detected by genome-wide and gene-based association analyses |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5209347/ https://www.ncbi.nlm.nih.gov/pubmed/28101096 http://dx.doi.org/10.3389/fpls.2016.01998 |
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