Dissection of Leaf Angle Variation in Maize through Genetic Mapping and Meta-Analysis
Maize ( L.) hybrids have transitioned to upright leaf angles (LAs) over the last 50 yr as maize yields and planting densities increased concurrently. Genetic mapping and a meta-analysis were conducted in the present study to dissect genetic factors controlling LA variation. We developed mapping popu...
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doaj-000de866242e451cbf11a8e08e0c50e52020-11-25T03:12:27ZengWileyThe Plant Genome1940-33722019-03-0112110.3835/plantgenome2018.05.0024Dissection of Leaf Angle Variation in Maize through Genetic Mapping and Meta-AnalysisMatthew J. DzievitXianran LiJianming YuMaize ( L.) hybrids have transitioned to upright leaf angles (LAs) over the last 50 yr as maize yields and planting densities increased concurrently. Genetic mapping and a meta-analysis were conducted in the present study to dissect genetic factors controlling LA variation. We developed mapping populations using inbred lines B73 (Iowa Stiff Stalk Synthetic), PHW30 (Iodent, expired plant variety protection inbred), and Mo17 (Non-Stiff Stalk) that have distinct LA architectures and represent three important heterotic groups in the United States. These populations were genotyped using genotyping-by-sequencing (GBS), and phenotyped for LA in the F and F generation. Inclusive composite interval mapping across the two generations of the mapping populations revealed 12 quantitative trait loci (QTL), and a consistent QTL on chromosome 1 explained 10 to 17% of the phenotypic variance. To gain a comprehensive understanding of natural variations underlying LA variation, these detected QTL were compared with results from 19 previous studies. In total, 495 QTL were compiled and mapped into 143 genomic bins. A meta-analysis revealed that 58 genomic bins were associated with LA variation. Thirty-three candidate genes were identified in these genomic bins. Together, these results provide evidence of QTL controlling LA variation from inbred lines representing three important heterotic groups in the United States and a useful resource for future research into the molecular variants underlying specific regions of the genome associated with LA variation.https://dl.sciencesocieties.org/publications/tpg/articles/12/1/180024 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Matthew J. Dzievit Xianran Li Jianming Yu |
spellingShingle |
Matthew J. Dzievit Xianran Li Jianming Yu Dissection of Leaf Angle Variation in Maize through Genetic Mapping and Meta-Analysis The Plant Genome |
author_facet |
Matthew J. Dzievit Xianran Li Jianming Yu |
author_sort |
Matthew J. Dzievit |
title |
Dissection of Leaf Angle Variation in Maize through Genetic Mapping and Meta-Analysis |
title_short |
Dissection of Leaf Angle Variation in Maize through Genetic Mapping and Meta-Analysis |
title_full |
Dissection of Leaf Angle Variation in Maize through Genetic Mapping and Meta-Analysis |
title_fullStr |
Dissection of Leaf Angle Variation in Maize through Genetic Mapping and Meta-Analysis |
title_full_unstemmed |
Dissection of Leaf Angle Variation in Maize through Genetic Mapping and Meta-Analysis |
title_sort |
dissection of leaf angle variation in maize through genetic mapping and meta-analysis |
publisher |
Wiley |
series |
The Plant Genome |
issn |
1940-3372 |
publishDate |
2019-03-01 |
description |
Maize ( L.) hybrids have transitioned to upright leaf angles (LAs) over the last 50 yr as maize yields and planting densities increased concurrently. Genetic mapping and a meta-analysis were conducted in the present study to dissect genetic factors controlling LA variation. We developed mapping populations using inbred lines B73 (Iowa Stiff Stalk Synthetic), PHW30 (Iodent, expired plant variety protection inbred), and Mo17 (Non-Stiff Stalk) that have distinct LA architectures and represent three important heterotic groups in the United States. These populations were genotyped using genotyping-by-sequencing (GBS), and phenotyped for LA in the F and F generation. Inclusive composite interval mapping across the two generations of the mapping populations revealed 12 quantitative trait loci (QTL), and a consistent QTL on chromosome 1 explained 10 to 17% of the phenotypic variance. To gain a comprehensive understanding of natural variations underlying LA variation, these detected QTL were compared with results from 19 previous studies. In total, 495 QTL were compiled and mapped into 143 genomic bins. A meta-analysis revealed that 58 genomic bins were associated with LA variation. Thirty-three candidate genes were identified in these genomic bins. Together, these results provide evidence of QTL controlling LA variation from inbred lines representing three important heterotic groups in the United States and a useful resource for future research into the molecular variants underlying specific regions of the genome associated with LA variation. |
url |
https://dl.sciencesocieties.org/publications/tpg/articles/12/1/180024 |
work_keys_str_mv |
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