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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Main Authors: Matthew J. Dzievit, Xianran Li, Jianming Yu
Format: Article
Language:English
Published: Wiley 2019-03-01
Series:The Plant Genome
Online Access:https://dl.sciencesocieties.org/publications/tpg/articles/12/1/180024
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spelling 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
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