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Genomic Dissection of Leaf Angle in Maize (Zea mays L.) Using a Four-Way Cross Mapping Population
Increasing grain yield by the selection for optimal plant architecture has been the key focus in modern maize breeding. As a result, leaf angle, an important determinant of plant architecture, has been significantly improved to adapt to the ever-increasing plant density in maize production over the...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4625009/ https://www.ncbi.nlm.nih.gov/pubmed/26509792 http://dx.doi.org/10.1371/journal.pone.0141619 |
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author | Ding, Junqiang Zhang, Luyan Chen, Jiafa Li, Xiantang Li, Yongming Cheng, Hongliang Huang, Rongrong Zhou, Bo Li, Zhimin Wang, Jiankang Wu, Jianyu |
author_facet | Ding, Junqiang Zhang, Luyan Chen, Jiafa Li, Xiantang Li, Yongming Cheng, Hongliang Huang, Rongrong Zhou, Bo Li, Zhimin Wang, Jiankang Wu, Jianyu |
author_sort | Ding, Junqiang |
collection | PubMed |
description | Increasing grain yield by the selection for optimal plant architecture has been the key focus in modern maize breeding. As a result, leaf angle, an important determinant of plant architecture, has been significantly improved to adapt to the ever-increasing plant density in maize production over the past several decades. To extend our understanding on the genetic mechanisms of leaf angle in maize, we developed the first four-way cross mapping population, consisting of 277 lines derived from four maize inbred lines with varied leaf angles. The four-way cross mapping population together with the four parental lines were evaluated for leaf angle in two environments. In this study, we reported linkage maps built in the population and quantitative trait loci (QTL) on leaf angle detected by inclusive composite interval mapping (ICIM). ICIM applies a two-step strategy to effectively separate the cofactor selection from the interval mapping, which controls the background additive and dominant effects at the same time. A total of 14 leaf angle QTL were identified, four of which were further validated in near-isogenic lines (NILs). Seven of the 14 leaf angle QTL were found to overlap with the published leaf angle QTL or genes, and the remaining QTL were unique to the four-way population. This study represents the first example of QTL mapping using a four-way cross population in maize, and demonstrates that the use of specially designed four-way cross is effective in uncovering the basis of complex and polygenetic trait like leaf angle in maize. |
format | Online Article Text |
id | pubmed-4625009 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46250092015-11-06 Genomic Dissection of Leaf Angle in Maize (Zea mays L.) Using a Four-Way Cross Mapping Population Ding, Junqiang Zhang, Luyan Chen, Jiafa Li, Xiantang Li, Yongming Cheng, Hongliang Huang, Rongrong Zhou, Bo Li, Zhimin Wang, Jiankang Wu, Jianyu PLoS One Research Article Increasing grain yield by the selection for optimal plant architecture has been the key focus in modern maize breeding. As a result, leaf angle, an important determinant of plant architecture, has been significantly improved to adapt to the ever-increasing plant density in maize production over the past several decades. To extend our understanding on the genetic mechanisms of leaf angle in maize, we developed the first four-way cross mapping population, consisting of 277 lines derived from four maize inbred lines with varied leaf angles. The four-way cross mapping population together with the four parental lines were evaluated for leaf angle in two environments. In this study, we reported linkage maps built in the population and quantitative trait loci (QTL) on leaf angle detected by inclusive composite interval mapping (ICIM). ICIM applies a two-step strategy to effectively separate the cofactor selection from the interval mapping, which controls the background additive and dominant effects at the same time. A total of 14 leaf angle QTL were identified, four of which were further validated in near-isogenic lines (NILs). Seven of the 14 leaf angle QTL were found to overlap with the published leaf angle QTL or genes, and the remaining QTL were unique to the four-way population. This study represents the first example of QTL mapping using a four-way cross population in maize, and demonstrates that the use of specially designed four-way cross is effective in uncovering the basis of complex and polygenetic trait like leaf angle in maize. Public Library of Science 2015-10-28 /pmc/articles/PMC4625009/ /pubmed/26509792 http://dx.doi.org/10.1371/journal.pone.0141619 Text en © 2015 Ding 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 Ding, Junqiang Zhang, Luyan Chen, Jiafa Li, Xiantang Li, Yongming Cheng, Hongliang Huang, Rongrong Zhou, Bo Li, Zhimin Wang, Jiankang Wu, Jianyu Genomic Dissection of Leaf Angle in Maize (Zea mays L.) Using a Four-Way Cross Mapping Population |
title | Genomic Dissection of Leaf Angle in Maize (Zea mays L.) Using a Four-Way Cross Mapping Population |
title_full | Genomic Dissection of Leaf Angle in Maize (Zea mays L.) Using a Four-Way Cross Mapping Population |
title_fullStr | Genomic Dissection of Leaf Angle in Maize (Zea mays L.) Using a Four-Way Cross Mapping Population |
title_full_unstemmed | Genomic Dissection of Leaf Angle in Maize (Zea mays L.) Using a Four-Way Cross Mapping Population |
title_short | Genomic Dissection of Leaf Angle in Maize (Zea mays L.) Using a Four-Way Cross Mapping Population |
title_sort | genomic dissection of leaf angle in maize (zea mays l.) using a four-way cross mapping population |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4625009/ https://www.ncbi.nlm.nih.gov/pubmed/26509792 http://dx.doi.org/10.1371/journal.pone.0141619 |
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