The Genetic Structures and Molecular Mechanisms Underlying Ear Traits in Maize (<i>Zea mays</i> L.)

Maize (<i>Zea mays</i> L.) is one of the world’s staple food crops. In order to feed the growing world population, improving maize yield is a top priority for breeding programs. Ear traits are important determinants of maize yield, and are mostly quantitatively inherited. To date, many s...

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Main Authors: Zhenying Dong, Yanbo Wang, Jianxi Bao, Ya’nan Li, Zechao Yin, Yan Long, Xiangyuan Wan
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Cells
Subjects:
Online Access:https://www.mdpi.com/2073-4409/12/14/1900
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author Zhenying Dong
Yanbo Wang
Jianxi Bao
Ya’nan Li
Zechao Yin
Yan Long
Xiangyuan Wan
author_facet Zhenying Dong
Yanbo Wang
Jianxi Bao
Ya’nan Li
Zechao Yin
Yan Long
Xiangyuan Wan
author_sort Zhenying Dong
collection DOAJ
description Maize (<i>Zea mays</i> L.) is one of the world’s staple food crops. In order to feed the growing world population, improving maize yield is a top priority for breeding programs. Ear traits are important determinants of maize yield, and are mostly quantitatively inherited. To date, many studies relating to the genetic and molecular dissection of ear traits have been performed; therefore, we explored the genetic loci of the ear traits that were previously discovered in the genome-wide association study (GWAS) and quantitative trait locus (QTL) mapping studies, and refined 153 QTL and 85 quantitative trait nucleotide (QTN) clusters. Next, we shortlisted 19 common intervals (CIs) that can be detected simultaneously by both QTL mapping and GWAS, and 40 CIs that have pleiotropic effects on ear traits. Further, we predicted the best possible candidate genes from 71 QTL and 25 QTN clusters that could be valuable for maize yield improvement.
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spelling doaj.art-58ef0932034249fdaf5ebe933fd3b3442023-11-18T18:46:47ZengMDPI AGCells2073-44092023-07-011214190010.3390/cells12141900The Genetic Structures and Molecular Mechanisms Underlying Ear Traits in Maize (<i>Zea mays</i> L.)Zhenying Dong0Yanbo Wang1Jianxi Bao2Ya’nan Li3Zechao Yin4Yan Long5Xiangyuan Wan6Research Institute of Biology and Agriculture, Shunde Innovation School, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaResearch Institute of Biology and Agriculture, Shunde Innovation School, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaResearch Institute of Biology and Agriculture, Shunde Innovation School, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaResearch Institute of Biology and Agriculture, Shunde Innovation School, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaResearch Institute of Biology and Agriculture, Shunde Innovation School, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaResearch Institute of Biology and Agriculture, Shunde Innovation School, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaResearch Institute of Biology and Agriculture, Shunde Innovation School, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaMaize (<i>Zea mays</i> L.) is one of the world’s staple food crops. In order to feed the growing world population, improving maize yield is a top priority for breeding programs. Ear traits are important determinants of maize yield, and are mostly quantitatively inherited. To date, many studies relating to the genetic and molecular dissection of ear traits have been performed; therefore, we explored the genetic loci of the ear traits that were previously discovered in the genome-wide association study (GWAS) and quantitative trait locus (QTL) mapping studies, and refined 153 QTL and 85 quantitative trait nucleotide (QTN) clusters. Next, we shortlisted 19 common intervals (CIs) that can be detected simultaneously by both QTL mapping and GWAS, and 40 CIs that have pleiotropic effects on ear traits. Further, we predicted the best possible candidate genes from 71 QTL and 25 QTN clusters that could be valuable for maize yield improvement.https://www.mdpi.com/2073-4409/12/14/1900quantitative trait locus (QTL)quantitative trait nucleotide (QTN)genetic lociclusterfunctional gene
spellingShingle Zhenying Dong
Yanbo Wang
Jianxi Bao
Ya’nan Li
Zechao Yin
Yan Long
Xiangyuan Wan
The Genetic Structures and Molecular Mechanisms Underlying Ear Traits in Maize (<i>Zea mays</i> L.)
Cells
quantitative trait locus (QTL)
quantitative trait nucleotide (QTN)
genetic loci
cluster
functional gene
title The Genetic Structures and Molecular Mechanisms Underlying Ear Traits in Maize (<i>Zea mays</i> L.)
title_full The Genetic Structures and Molecular Mechanisms Underlying Ear Traits in Maize (<i>Zea mays</i> L.)
title_fullStr The Genetic Structures and Molecular Mechanisms Underlying Ear Traits in Maize (<i>Zea mays</i> L.)
title_full_unstemmed The Genetic Structures and Molecular Mechanisms Underlying Ear Traits in Maize (<i>Zea mays</i> L.)
title_short The Genetic Structures and Molecular Mechanisms Underlying Ear Traits in Maize (<i>Zea mays</i> L.)
title_sort genetic structures and molecular mechanisms underlying ear traits in maize i zea mays i l
topic quantitative trait locus (QTL)
quantitative trait nucleotide (QTN)
genetic loci
cluster
functional gene
url https://www.mdpi.com/2073-4409/12/14/1900
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