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Association analysis of agronomic traits and construction of genetic networks by resequencing of 306 sugar beet (Beta vulgaris L.) lines
Due to the relatively brief domestication history of sugar beet (Beta vulgaris ssp. vulgaris), our understanding of the genomic diversity and functional genes in its cultivars is limited, resulting in slow breeding progress. To address this issue, a total of 306 germplasm materials of major cultivar...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507079/ https://www.ncbi.nlm.nih.gov/pubmed/37723186 http://dx.doi.org/10.1038/s41598-023-42182-2 |
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author | Wang, Liang Zhang, Ziqiang Han, Pingan Liang, Yahui Zhang, Huizhong Fu, Zengjuan Zhao, Shangmin E, Yuanyuan Zhang, Hui Wu, Xinrong Zhang, Bizhou Chang, Yue Tang, Kuangang Zheng, Wenzhe Chen, Li Wang, Ronghua Gao, Weishi Hasi, Agula Li, Xiaodong Bai, Chen |
author_facet | Wang, Liang Zhang, Ziqiang Han, Pingan Liang, Yahui Zhang, Huizhong Fu, Zengjuan Zhao, Shangmin E, Yuanyuan Zhang, Hui Wu, Xinrong Zhang, Bizhou Chang, Yue Tang, Kuangang Zheng, Wenzhe Chen, Li Wang, Ronghua Gao, Weishi Hasi, Agula Li, Xiaodong Bai, Chen |
author_sort | Wang, Liang |
collection | PubMed |
description | Due to the relatively brief domestication history of sugar beet (Beta vulgaris ssp. vulgaris), our understanding of the genomic diversity and functional genes in its cultivars is limited, resulting in slow breeding progress. To address this issue, a total of 306 germplasm materials of major cultivars and breeding lines from China, the USA, and Europe were selected for genome resequencing. We investigated population structure and genetic diversity and performed selective scanning of genomic regions, identifying six novel genes associated with important agronomic traits: the candidate genes DFAX2 and P5CS for skin roughness; the candidate genes FRO5, GL24, and PPR91 for root yield and sugar yield, and the pleiotropic candidate gene POLX for flourishing growth vigour, plant height, crown size, flesh coarseness, and sugar yield. In addition, we constructed a protein–protein interaction network map and a phenotype-gene network map, which provide valuable information for identifying and characterizing functional genes affecting agronomic traits in sugar beet. Overall, our study sheds light on the future improvement of sugar beet agronomic traits at the molecular level. |
format | Online Article Text |
id | pubmed-10507079 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105070792023-09-20 Association analysis of agronomic traits and construction of genetic networks by resequencing of 306 sugar beet (Beta vulgaris L.) lines Wang, Liang Zhang, Ziqiang Han, Pingan Liang, Yahui Zhang, Huizhong Fu, Zengjuan Zhao, Shangmin E, Yuanyuan Zhang, Hui Wu, Xinrong Zhang, Bizhou Chang, Yue Tang, Kuangang Zheng, Wenzhe Chen, Li Wang, Ronghua Gao, Weishi Hasi, Agula Li, Xiaodong Bai, Chen Sci Rep Article Due to the relatively brief domestication history of sugar beet (Beta vulgaris ssp. vulgaris), our understanding of the genomic diversity and functional genes in its cultivars is limited, resulting in slow breeding progress. To address this issue, a total of 306 germplasm materials of major cultivars and breeding lines from China, the USA, and Europe were selected for genome resequencing. We investigated population structure and genetic diversity and performed selective scanning of genomic regions, identifying six novel genes associated with important agronomic traits: the candidate genes DFAX2 and P5CS for skin roughness; the candidate genes FRO5, GL24, and PPR91 for root yield and sugar yield, and the pleiotropic candidate gene POLX for flourishing growth vigour, plant height, crown size, flesh coarseness, and sugar yield. In addition, we constructed a protein–protein interaction network map and a phenotype-gene network map, which provide valuable information for identifying and characterizing functional genes affecting agronomic traits in sugar beet. Overall, our study sheds light on the future improvement of sugar beet agronomic traits at the molecular level. Nature Publishing Group UK 2023-09-18 /pmc/articles/PMC10507079/ /pubmed/37723186 http://dx.doi.org/10.1038/s41598-023-42182-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wang, Liang Zhang, Ziqiang Han, Pingan Liang, Yahui Zhang, Huizhong Fu, Zengjuan Zhao, Shangmin E, Yuanyuan Zhang, Hui Wu, Xinrong Zhang, Bizhou Chang, Yue Tang, Kuangang Zheng, Wenzhe Chen, Li Wang, Ronghua Gao, Weishi Hasi, Agula Li, Xiaodong Bai, Chen Association analysis of agronomic traits and construction of genetic networks by resequencing of 306 sugar beet (Beta vulgaris L.) lines |
title | Association analysis of agronomic traits and construction of genetic networks by resequencing of 306 sugar beet (Beta vulgaris L.) lines |
title_full | Association analysis of agronomic traits and construction of genetic networks by resequencing of 306 sugar beet (Beta vulgaris L.) lines |
title_fullStr | Association analysis of agronomic traits and construction of genetic networks by resequencing of 306 sugar beet (Beta vulgaris L.) lines |
title_full_unstemmed | Association analysis of agronomic traits and construction of genetic networks by resequencing of 306 sugar beet (Beta vulgaris L.) lines |
title_short | Association analysis of agronomic traits and construction of genetic networks by resequencing of 306 sugar beet (Beta vulgaris L.) lines |
title_sort | association analysis of agronomic traits and construction of genetic networks by resequencing of 306 sugar beet (beta vulgaris l.) lines |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507079/ https://www.ncbi.nlm.nih.gov/pubmed/37723186 http://dx.doi.org/10.1038/s41598-023-42182-2 |
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