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Fine Mapping and Candidate Gene Prediction of a Pleiotropic Quantitative Trait Locus for Yield-Related Trait in Zea mays

The yield of maize grain is a highly complex quantitative trait that is controlled by multiple quantitative trait loci (QTLs) with small effects, and is frequently influenced by multiple genetic and environmental factors. Thus, it is challenging to clone a QTL for grain yield in the maize genome. Pr...

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Autores principales: Liu, Ruixiang, Jia, Haitao, Cao, Xiaoliang, Huang, Jun, Li, Feng, Tao, Yongsheng, Qiu, Fazhan, Zheng, Yonglian, Zhang, Zuxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3504098/
https://www.ncbi.nlm.nih.gov/pubmed/23185451
http://dx.doi.org/10.1371/journal.pone.0049836
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author Liu, Ruixiang
Jia, Haitao
Cao, Xiaoliang
Huang, Jun
Li, Feng
Tao, Yongsheng
Qiu, Fazhan
Zheng, Yonglian
Zhang, Zuxin
author_facet Liu, Ruixiang
Jia, Haitao
Cao, Xiaoliang
Huang, Jun
Li, Feng
Tao, Yongsheng
Qiu, Fazhan
Zheng, Yonglian
Zhang, Zuxin
author_sort Liu, Ruixiang
collection PubMed
description The yield of maize grain is a highly complex quantitative trait that is controlled by multiple quantitative trait loci (QTLs) with small effects, and is frequently influenced by multiple genetic and environmental factors. Thus, it is challenging to clone a QTL for grain yield in the maize genome. Previously, we identified a major QTL, qKNPR6, for kernel number per row (KNPR) across multiple environments, and developed two nearly isogenic lines, SL57-6 and Ye478, which differ only in the allelic constitution at the short segment harboring the QTL. Recently, qKNPR6 was re-evaluated in segregating populations derived from SL57-6×Ye478, and was narrowed down to a 2.8 cM interval, which explained 56.3% of the phenotypic variance of KNPR in 201 F(2∶3) families. The QTL simultaneously affected ear length, kernel weight and grain yield. Furthermore, a large F(2) population with more than 12,800 plants, 191 recombinant chromosomes and 10 overlapping recombinant lines placed qKNPR6 into a 0.91 cM interval corresponding to 198Kb of the B73 reference genome. In this region, six genes with expressed sequence tag (EST) evidence were annotated. The expression pattern and DNA diversity of the six genes were assayed in Ye478 and SL57-6. The possible candidate gene and the pathway involved in inflorescence development were discussed.
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spelling pubmed-35040982012-11-26 Fine Mapping and Candidate Gene Prediction of a Pleiotropic Quantitative Trait Locus for Yield-Related Trait in Zea mays Liu, Ruixiang Jia, Haitao Cao, Xiaoliang Huang, Jun Li, Feng Tao, Yongsheng Qiu, Fazhan Zheng, Yonglian Zhang, Zuxin PLoS One Research Article The yield of maize grain is a highly complex quantitative trait that is controlled by multiple quantitative trait loci (QTLs) with small effects, and is frequently influenced by multiple genetic and environmental factors. Thus, it is challenging to clone a QTL for grain yield in the maize genome. Previously, we identified a major QTL, qKNPR6, for kernel number per row (KNPR) across multiple environments, and developed two nearly isogenic lines, SL57-6 and Ye478, which differ only in the allelic constitution at the short segment harboring the QTL. Recently, qKNPR6 was re-evaluated in segregating populations derived from SL57-6×Ye478, and was narrowed down to a 2.8 cM interval, which explained 56.3% of the phenotypic variance of KNPR in 201 F(2∶3) families. The QTL simultaneously affected ear length, kernel weight and grain yield. Furthermore, a large F(2) population with more than 12,800 plants, 191 recombinant chromosomes and 10 overlapping recombinant lines placed qKNPR6 into a 0.91 cM interval corresponding to 198Kb of the B73 reference genome. In this region, six genes with expressed sequence tag (EST) evidence were annotated. The expression pattern and DNA diversity of the six genes were assayed in Ye478 and SL57-6. The possible candidate gene and the pathway involved in inflorescence development were discussed. Public Library of Science 2012-11-21 /pmc/articles/PMC3504098/ /pubmed/23185451 http://dx.doi.org/10.1371/journal.pone.0049836 Text en © 2012 Liu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Liu, Ruixiang
Jia, Haitao
Cao, Xiaoliang
Huang, Jun
Li, Feng
Tao, Yongsheng
Qiu, Fazhan
Zheng, Yonglian
Zhang, Zuxin
Fine Mapping and Candidate Gene Prediction of a Pleiotropic Quantitative Trait Locus for Yield-Related Trait in Zea mays
title Fine Mapping and Candidate Gene Prediction of a Pleiotropic Quantitative Trait Locus for Yield-Related Trait in Zea mays
title_full Fine Mapping and Candidate Gene Prediction of a Pleiotropic Quantitative Trait Locus for Yield-Related Trait in Zea mays
title_fullStr Fine Mapping and Candidate Gene Prediction of a Pleiotropic Quantitative Trait Locus for Yield-Related Trait in Zea mays
title_full_unstemmed Fine Mapping and Candidate Gene Prediction of a Pleiotropic Quantitative Trait Locus for Yield-Related Trait in Zea mays
title_short Fine Mapping and Candidate Gene Prediction of a Pleiotropic Quantitative Trait Locus for Yield-Related Trait in Zea mays
title_sort fine mapping and candidate gene prediction of a pleiotropic quantitative trait locus for yield-related trait in zea mays
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3504098/
https://www.ncbi.nlm.nih.gov/pubmed/23185451
http://dx.doi.org/10.1371/journal.pone.0049836
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