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Genetic structure and molecular mechanism underlying the stalk lodging traits in maize (Zea mays L.)
Stalk lodging seriously affects yield and quality of crops, and it can be caused by several factors, such as environments, developmental stages, and internal chemical components of plant stalks. Breeding of stalk lodging-resistant varieties is thus an important task for maize breeders. To better und...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803694/ https://www.ncbi.nlm.nih.gov/pubmed/36618981 http://dx.doi.org/10.1016/j.csbj.2022.12.037 |
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author | Wang, Shuai Li, Huangai Dong, Zhenying Wang, Cheng Wei, Xun Long, Yan Wan, Xiangyuan |
author_facet | Wang, Shuai Li, Huangai Dong, Zhenying Wang, Cheng Wei, Xun Long, Yan Wan, Xiangyuan |
author_sort | Wang, Shuai |
collection | PubMed |
description | Stalk lodging seriously affects yield and quality of crops, and it can be caused by several factors, such as environments, developmental stages, and internal chemical components of plant stalks. Breeding of stalk lodging-resistant varieties is thus an important task for maize breeders. To better understand the genetic basis underlying stalk lodging resistance, several methods such as quantitative trait locus (QTL) mapping and genome-wide association study (GWAS) have been used to mine potential gene resources. Based on different types of genetic populations and mapping methods, many significant loci associated with stalk lodging resistance have been identified so far. However, few work has been performed to compare and integrate these reported genetic loci. In this study, we first collected hundreds of QTLs and quantitative trait nucleotides (QTNs) related to stalk lodging traits in maize. Then we mapped and integrated the QTLs and QTNs in maize genome to identify overlapped hotspot regions. Based on the genomic confidence intervals harboring these overlapped hotspot regions, we predicted candidate genes related to stalk lodging traits. Meanwhile, we mapped reported genes to these hotspot regions. Finally, we constructed molecular regulatory networks underlying stalk lodging resistance in maize. Collectively, this study provides not only useful genetic loci for deeply exploring molecular mechanisms of stalk lodging resistance traits, but also potential candidate genes and targeted strategies for improving stalk lodging resistance to increase crop yields in future. |
format | Online Article Text |
id | pubmed-9803694 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-98036942023-01-05 Genetic structure and molecular mechanism underlying the stalk lodging traits in maize (Zea mays L.) Wang, Shuai Li, Huangai Dong, Zhenying Wang, Cheng Wei, Xun Long, Yan Wan, Xiangyuan Comput Struct Biotechnol J Research Article Stalk lodging seriously affects yield and quality of crops, and it can be caused by several factors, such as environments, developmental stages, and internal chemical components of plant stalks. Breeding of stalk lodging-resistant varieties is thus an important task for maize breeders. To better understand the genetic basis underlying stalk lodging resistance, several methods such as quantitative trait locus (QTL) mapping and genome-wide association study (GWAS) have been used to mine potential gene resources. Based on different types of genetic populations and mapping methods, many significant loci associated with stalk lodging resistance have been identified so far. However, few work has been performed to compare and integrate these reported genetic loci. In this study, we first collected hundreds of QTLs and quantitative trait nucleotides (QTNs) related to stalk lodging traits in maize. Then we mapped and integrated the QTLs and QTNs in maize genome to identify overlapped hotspot regions. Based on the genomic confidence intervals harboring these overlapped hotspot regions, we predicted candidate genes related to stalk lodging traits. Meanwhile, we mapped reported genes to these hotspot regions. Finally, we constructed molecular regulatory networks underlying stalk lodging resistance in maize. Collectively, this study provides not only useful genetic loci for deeply exploring molecular mechanisms of stalk lodging resistance traits, but also potential candidate genes and targeted strategies for improving stalk lodging resistance to increase crop yields in future. Research Network of Computational and Structural Biotechnology 2022-12-21 /pmc/articles/PMC9803694/ /pubmed/36618981 http://dx.doi.org/10.1016/j.csbj.2022.12.037 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Wang, Shuai Li, Huangai Dong, Zhenying Wang, Cheng Wei, Xun Long, Yan Wan, Xiangyuan Genetic structure and molecular mechanism underlying the stalk lodging traits in maize (Zea mays L.) |
title | Genetic structure and molecular mechanism underlying the stalk lodging traits in maize (Zea mays L.) |
title_full | Genetic structure and molecular mechanism underlying the stalk lodging traits in maize (Zea mays L.) |
title_fullStr | Genetic structure and molecular mechanism underlying the stalk lodging traits in maize (Zea mays L.) |
title_full_unstemmed | Genetic structure and molecular mechanism underlying the stalk lodging traits in maize (Zea mays L.) |
title_short | Genetic structure and molecular mechanism underlying the stalk lodging traits in maize (Zea mays L.) |
title_sort | genetic structure and molecular mechanism underlying the stalk lodging traits in maize (zea mays l.) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803694/ https://www.ncbi.nlm.nih.gov/pubmed/36618981 http://dx.doi.org/10.1016/j.csbj.2022.12.037 |
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