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Quantitative Trait Locus Mapping and Candidate Gene Analysis for Plant Architecture Traits Using Whole Genome Re-Sequencing in Rice

Plant breeders have focused on improving plant architecture as an effective means to increase crop yield. Here, we identify the main-effect quantitative trait loci (QTLs) for plant shape-related traits in rice (Oryza sativa) and find candidate genes by applying whole genome re-sequencing of two pare...

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Autores principales: Lim, Jung-Hyun, Yang, Hyun-Jung, Jung, Ki-Hong, Yoo, Soo-Cheul, Paek, Nam-Chon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korea Society for Molecular and Cellular Biology 2014
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3935628/
https://www.ncbi.nlm.nih.gov/pubmed/24599000
http://dx.doi.org/10.14348/molcells.2014.2336
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author Lim, Jung-Hyun
Yang, Hyun-Jung
Jung, Ki-Hong
Yoo, Soo-Cheul
Paek, Nam-Chon
author_facet Lim, Jung-Hyun
Yang, Hyun-Jung
Jung, Ki-Hong
Yoo, Soo-Cheul
Paek, Nam-Chon
author_sort Lim, Jung-Hyun
collection PubMed
description Plant breeders have focused on improving plant architecture as an effective means to increase crop yield. Here, we identify the main-effect quantitative trait loci (QTLs) for plant shape-related traits in rice (Oryza sativa) and find candidate genes by applying whole genome re-sequencing of two parental cultivars using next-generation sequencing. To identify QTLs influencing plant shape, we analyzed six traits: plant height, tiller number, panicle diameter, panicle length, flag leaf length, and flag leaf width. We performed QTL analysis with 178 F(7) recombinant in-bred lines (RILs) from a cross of japonica rice line ‘SNUSG1’ and indica rice line ‘Milyang23’. Using 131 molecular markers, including 28 insertion/deletion markers, we identified 11 main- and 16 minor-effect QTLs for the six traits with a threshold LOD value > 2.8. Our sequence analysis identified fifty-four candidate genes for the main-effect QTLs. By further comparison of coding sequences and meta-expression profiles between japonica and indica rice varieties, we finally chose 15 strong candidate genes for the 11 main-effect QTLs. Our study shows that the whole-genome sequence data substantially enhanced the efficiency of polymorphic marker development for QTL fine-mapping and the identification of possible candidate genes. This yields useful genetic resources for breeding high-yielding rice cultivars with improved plant architecture.
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spelling pubmed-39356282014-02-26 Quantitative Trait Locus Mapping and Candidate Gene Analysis for Plant Architecture Traits Using Whole Genome Re-Sequencing in Rice Lim, Jung-Hyun Yang, Hyun-Jung Jung, Ki-Hong Yoo, Soo-Cheul Paek, Nam-Chon Mol Cells Plant breeders have focused on improving plant architecture as an effective means to increase crop yield. Here, we identify the main-effect quantitative trait loci (QTLs) for plant shape-related traits in rice (Oryza sativa) and find candidate genes by applying whole genome re-sequencing of two parental cultivars using next-generation sequencing. To identify QTLs influencing plant shape, we analyzed six traits: plant height, tiller number, panicle diameter, panicle length, flag leaf length, and flag leaf width. We performed QTL analysis with 178 F(7) recombinant in-bred lines (RILs) from a cross of japonica rice line ‘SNUSG1’ and indica rice line ‘Milyang23’. Using 131 molecular markers, including 28 insertion/deletion markers, we identified 11 main- and 16 minor-effect QTLs for the six traits with a threshold LOD value > 2.8. Our sequence analysis identified fifty-four candidate genes for the main-effect QTLs. By further comparison of coding sequences and meta-expression profiles between japonica and indica rice varieties, we finally chose 15 strong candidate genes for the 11 main-effect QTLs. Our study shows that the whole-genome sequence data substantially enhanced the efficiency of polymorphic marker development for QTL fine-mapping and the identification of possible candidate genes. This yields useful genetic resources for breeding high-yielding rice cultivars with improved plant architecture. Korea Society for Molecular and Cellular Biology 2014-02-28 2014-02-19 /pmc/articles/PMC3935628/ /pubmed/24599000 http://dx.doi.org/10.14348/molcells.2014.2336 Text en © The Korean Society for Molecular and Cellular Biology. All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/.
spellingShingle Lim, Jung-Hyun
Yang, Hyun-Jung
Jung, Ki-Hong
Yoo, Soo-Cheul
Paek, Nam-Chon
Quantitative Trait Locus Mapping and Candidate Gene Analysis for Plant Architecture Traits Using Whole Genome Re-Sequencing in Rice
title Quantitative Trait Locus Mapping and Candidate Gene Analysis for Plant Architecture Traits Using Whole Genome Re-Sequencing in Rice
title_full Quantitative Trait Locus Mapping and Candidate Gene Analysis for Plant Architecture Traits Using Whole Genome Re-Sequencing in Rice
title_fullStr Quantitative Trait Locus Mapping and Candidate Gene Analysis for Plant Architecture Traits Using Whole Genome Re-Sequencing in Rice
title_full_unstemmed Quantitative Trait Locus Mapping and Candidate Gene Analysis for Plant Architecture Traits Using Whole Genome Re-Sequencing in Rice
title_short Quantitative Trait Locus Mapping and Candidate Gene Analysis for Plant Architecture Traits Using Whole Genome Re-Sequencing in Rice
title_sort quantitative trait locus mapping and candidate gene analysis for plant architecture traits using whole genome re-sequencing in rice
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3935628/
https://www.ncbi.nlm.nih.gov/pubmed/24599000
http://dx.doi.org/10.14348/molcells.2014.2336
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