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...

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Main Authors: Junqiang Ding, Luyan Zhang, Jiafa Chen, Xiantang Li, Yongming Li, Hongliang Cheng, Rongrong Huang, Bo Zhou, Zhimin Li, Jiankang Wang, Jianyu Wu
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4625009?pdf=render
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author Junqiang Ding
Luyan Zhang
Jiafa Chen
Xiantang Li
Yongming Li
Hongliang Cheng
Rongrong Huang
Bo Zhou
Zhimin Li
Jiankang Wang
Jianyu Wu
author_facet Junqiang Ding
Luyan Zhang
Jiafa Chen
Xiantang Li
Yongming Li
Hongliang Cheng
Rongrong Huang
Bo Zhou
Zhimin Li
Jiankang Wang
Jianyu Wu
author_sort Junqiang Ding
collection DOAJ
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.
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spelling doaj.art-18d2976b275b42ecbd6c0281f4bc309c2022-12-22T00:13:05ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-011010e014161910.1371/journal.pone.0141619Genomic Dissection of Leaf Angle in Maize (Zea mays L.) Using a Four-Way Cross Mapping Population.Junqiang DingLuyan ZhangJiafa ChenXiantang LiYongming LiHongliang ChengRongrong HuangBo ZhouZhimin LiJiankang WangJianyu WuIncreasing 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.http://europepmc.org/articles/PMC4625009?pdf=render
spellingShingle Junqiang Ding
Luyan Zhang
Jiafa Chen
Xiantang Li
Yongming Li
Hongliang Cheng
Rongrong Huang
Bo Zhou
Zhimin Li
Jiankang Wang
Jianyu Wu
Genomic Dissection of Leaf Angle in Maize (Zea mays L.) Using a Four-Way Cross Mapping Population.
PLoS ONE
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
url http://europepmc.org/articles/PMC4625009?pdf=render
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