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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MDPI AG
2023-07-01
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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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language | English |
last_indexed | 2024-03-11T01:11:36Z |
publishDate | 2023-07-01 |
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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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