Mapping quantitative trait loci and predicting candidate genes for leaf angle in maize.
Leaf angle of maize is a fundamental determinant of plant architecture and an important trait influencing photosynthetic efficiency and crop yields. To broaden our understanding of the genetic mechanisms of leaf angle formation, we constructed a F3:4 recombinant inbred lines (RIL) population to map...
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Online Access: | https://doi.org/10.1371/journal.pone.0245129 |
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doaj-64e6810a5e9a4b9281cda2b6b3855e892021-05-13T04:30:38ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01161e024512910.1371/journal.pone.0245129Mapping quantitative trait loci and predicting candidate genes for leaf angle in maize.Ning ZhangXueqing HuangLeaf angle of maize is a fundamental determinant of plant architecture and an important trait influencing photosynthetic efficiency and crop yields. To broaden our understanding of the genetic mechanisms of leaf angle formation, we constructed a F3:4 recombinant inbred lines (RIL) population to map QTL for leaf angle. The RIL was derived from a cross between a model inbred line (B73) with expanded leaf architecture and an elite inbred line (Zheng58) with compact leaf architecture. A sum of eight QTL were detected on chromosome 1, 2, 3, 4 and 8. Single QTL explained 4.3 to 14.2% of the leaf angle variance. Additionally, some important QTL were confirmed through a heterogeneous inbred family (HIF) approach. Furthermore, twenty-four candidate genes for leaf angle were predicted through whole-genome re-sequencing and expression analysis in qLA02-01and qLA08-01 regions. These results will be helpful to elucidate the genetic mechanism of leaf angle formation in maize and benefit to clone the favorable allele for leaf angle. Besides, this will be helpful to develop the novel maize varieties with ideal plant architecture through marker-assisted selection.https://doi.org/10.1371/journal.pone.0245129 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ning Zhang Xueqing Huang |
spellingShingle |
Ning Zhang Xueqing Huang Mapping quantitative trait loci and predicting candidate genes for leaf angle in maize. PLoS ONE |
author_facet |
Ning Zhang Xueqing Huang |
author_sort |
Ning Zhang |
title |
Mapping quantitative trait loci and predicting candidate genes for leaf angle in maize. |
title_short |
Mapping quantitative trait loci and predicting candidate genes for leaf angle in maize. |
title_full |
Mapping quantitative trait loci and predicting candidate genes for leaf angle in maize. |
title_fullStr |
Mapping quantitative trait loci and predicting candidate genes for leaf angle in maize. |
title_full_unstemmed |
Mapping quantitative trait loci and predicting candidate genes for leaf angle in maize. |
title_sort |
mapping quantitative trait loci and predicting candidate genes for leaf angle in maize. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2021-01-01 |
description |
Leaf angle of maize is a fundamental determinant of plant architecture and an important trait influencing photosynthetic efficiency and crop yields. To broaden our understanding of the genetic mechanisms of leaf angle formation, we constructed a F3:4 recombinant inbred lines (RIL) population to map QTL for leaf angle. The RIL was derived from a cross between a model inbred line (B73) with expanded leaf architecture and an elite inbred line (Zheng58) with compact leaf architecture. A sum of eight QTL were detected on chromosome 1, 2, 3, 4 and 8. Single QTL explained 4.3 to 14.2% of the leaf angle variance. Additionally, some important QTL were confirmed through a heterogeneous inbred family (HIF) approach. Furthermore, twenty-four candidate genes for leaf angle were predicted through whole-genome re-sequencing and expression analysis in qLA02-01and qLA08-01 regions. These results will be helpful to elucidate the genetic mechanism of leaf angle formation in maize and benefit to clone the favorable allele for leaf angle. Besides, this will be helpful to develop the novel maize varieties with ideal plant architecture through marker-assisted selection. |
url |
https://doi.org/10.1371/journal.pone.0245129 |
work_keys_str_mv |
AT ningzhang mappingquantitativetraitlociandpredictingcandidategenesforleafangleinmaize AT xueqinghuang mappingquantitativetraitlociandpredictingcandidategenesforleafangleinmaize |
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