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Genetic Diversity and Elite Allele Mining for Grain Traits in Rice (Oryza sativa L.) by Association Mapping

Mining elite alleles for grain size and weight is of importance for the improvement of cultivated rice and selection for market demand. In this study, association mapping for grain traits was performed on a selected sample of 628 rice cultivars using 262 SSRs. Grain traits were evaluated by grain le...

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Autores principales: Edzesi, Wisdom M., Dang, Xiaojing, Liang, Lijun, Liu, Erbao, Zaid, Imdad U., Hong, Delin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4896222/
https://www.ncbi.nlm.nih.gov/pubmed/27375646
http://dx.doi.org/10.3389/fpls.2016.00787
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author Edzesi, Wisdom M.
Dang, Xiaojing
Liang, Lijun
Liu, Erbao
Zaid, Imdad U.
Hong, Delin
author_facet Edzesi, Wisdom M.
Dang, Xiaojing
Liang, Lijun
Liu, Erbao
Zaid, Imdad U.
Hong, Delin
author_sort Edzesi, Wisdom M.
collection PubMed
description Mining elite alleles for grain size and weight is of importance for the improvement of cultivated rice and selection for market demand. In this study, association mapping for grain traits was performed on a selected sample of 628 rice cultivars using 262 SSRs. Grain traits were evaluated by grain length (GL), grain width (GW), grain thickness (GT), grain length to width ratio (GL/GW), and 1000-grain weight (TGW) in 2013 and 2014. Our result showed abundant phenotypic and genetic diversities found in the studied population. In total, 2953 alleles were detected with an average of 11.3 alleles per locus. The population was divided into seven subpopulations and the levels of linkage disequilibrium (LD) ranged from 34 to 84 cM. Genome-wide association mapping detected 10 marker trait association (MTAs) loci for GL, 1MTAs locus for GW, 7 MTAs loci for GT, 3 MTAs loci for GL/GW, and 1 MTAs locus for TGW. Twenty-nine, 2, 10, 5, and 3 elite alleles were found for the GL, GW, GT, GL/GW, and TGW, respectively. Optimal cross designs were predicted for improving the target traits. The accessions containing elite alleles for grain traits mined in this study could be used for breeding rice cultivars and cloning the candidate genes.
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spelling pubmed-48962222016-07-01 Genetic Diversity and Elite Allele Mining for Grain Traits in Rice (Oryza sativa L.) by Association Mapping Edzesi, Wisdom M. Dang, Xiaojing Liang, Lijun Liu, Erbao Zaid, Imdad U. Hong, Delin Front Plant Sci Plant Science Mining elite alleles for grain size and weight is of importance for the improvement of cultivated rice and selection for market demand. In this study, association mapping for grain traits was performed on a selected sample of 628 rice cultivars using 262 SSRs. Grain traits were evaluated by grain length (GL), grain width (GW), grain thickness (GT), grain length to width ratio (GL/GW), and 1000-grain weight (TGW) in 2013 and 2014. Our result showed abundant phenotypic and genetic diversities found in the studied population. In total, 2953 alleles were detected with an average of 11.3 alleles per locus. The population was divided into seven subpopulations and the levels of linkage disequilibrium (LD) ranged from 34 to 84 cM. Genome-wide association mapping detected 10 marker trait association (MTAs) loci for GL, 1MTAs locus for GW, 7 MTAs loci for GT, 3 MTAs loci for GL/GW, and 1 MTAs locus for TGW. Twenty-nine, 2, 10, 5, and 3 elite alleles were found for the GL, GW, GT, GL/GW, and TGW, respectively. Optimal cross designs were predicted for improving the target traits. The accessions containing elite alleles for grain traits mined in this study could be used for breeding rice cultivars and cloning the candidate genes. Frontiers Media S.A. 2016-06-07 /pmc/articles/PMC4896222/ /pubmed/27375646 http://dx.doi.org/10.3389/fpls.2016.00787 Text en Copyright © 2016 Edzesi, Dang, Liang, Liu, Zaid and Hong. 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
Edzesi, Wisdom M.
Dang, Xiaojing
Liang, Lijun
Liu, Erbao
Zaid, Imdad U.
Hong, Delin
Genetic Diversity and Elite Allele Mining for Grain Traits in Rice (Oryza sativa L.) by Association Mapping
title Genetic Diversity and Elite Allele Mining for Grain Traits in Rice (Oryza sativa L.) by Association Mapping
title_full Genetic Diversity and Elite Allele Mining for Grain Traits in Rice (Oryza sativa L.) by Association Mapping
title_fullStr Genetic Diversity and Elite Allele Mining for Grain Traits in Rice (Oryza sativa L.) by Association Mapping
title_full_unstemmed Genetic Diversity and Elite Allele Mining for Grain Traits in Rice (Oryza sativa L.) by Association Mapping
title_short Genetic Diversity and Elite Allele Mining for Grain Traits in Rice (Oryza sativa L.) by Association Mapping
title_sort genetic diversity and elite allele mining for grain traits in rice (oryza sativa l.) by association mapping
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4896222/
https://www.ncbi.nlm.nih.gov/pubmed/27375646
http://dx.doi.org/10.3389/fpls.2016.00787
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