Cargando…
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...
Autores principales: | , , , , , , , , |
---|---|
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 |
_version_ | 1782250573836320768 |
---|---|
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. |
format | Online Article Text |
id | pubmed-3504098 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT liuruixiang finemappingandcandidategenepredictionofapleiotropicquantitativetraitlocusforyieldrelatedtraitinzeamays AT jiahaitao finemappingandcandidategenepredictionofapleiotropicquantitativetraitlocusforyieldrelatedtraitinzeamays AT caoxiaoliang finemappingandcandidategenepredictionofapleiotropicquantitativetraitlocusforyieldrelatedtraitinzeamays AT huangjun finemappingandcandidategenepredictionofapleiotropicquantitativetraitlocusforyieldrelatedtraitinzeamays AT lifeng finemappingandcandidategenepredictionofapleiotropicquantitativetraitlocusforyieldrelatedtraitinzeamays AT taoyongsheng finemappingandcandidategenepredictionofapleiotropicquantitativetraitlocusforyieldrelatedtraitinzeamays AT qiufazhan finemappingandcandidategenepredictionofapleiotropicquantitativetraitlocusforyieldrelatedtraitinzeamays AT zhengyonglian finemappingandcandidategenepredictionofapleiotropicquantitativetraitlocusforyieldrelatedtraitinzeamays AT zhangzuxin finemappingandcandidategenepredictionofapleiotropicquantitativetraitlocusforyieldrelatedtraitinzeamays |