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Dissection of the genetic basis of oil content in Chinese peanut cultivars through association mapping

BACKGROUND: Peanut is one of the primary sources for vegetable oil worldwide, and enhancing oil content is the main objective in several peanut breeding programs of the world. Tightly linked markers are required for faster development of high oil content peanut varieties through genomics-assisted br...

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Autores principales: Liu, Nian, Huang, Li, Chen, Weigang, Wu, Bei, Pandey, Manish K., Luo, Huaiyong, Zhou, Xiaojing, Guo, Jianbin, Chen, Haiwen, Huai, Dongxin, Chen, Yuning, Lei, Yong, Liao, Boshou, Ren, Xiaoping, Varshney, Rajeev K., Jiang, Huifang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7282078/
https://www.ncbi.nlm.nih.gov/pubmed/32513099
http://dx.doi.org/10.1186/s12863-020-00863-1
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author Liu, Nian
Huang, Li
Chen, Weigang
Wu, Bei
Pandey, Manish K.
Luo, Huaiyong
Zhou, Xiaojing
Guo, Jianbin
Chen, Haiwen
Huai, Dongxin
Chen, Yuning
Lei, Yong
Liao, Boshou
Ren, Xiaoping
Varshney, Rajeev K.
Jiang, Huifang
author_facet Liu, Nian
Huang, Li
Chen, Weigang
Wu, Bei
Pandey, Manish K.
Luo, Huaiyong
Zhou, Xiaojing
Guo, Jianbin
Chen, Haiwen
Huai, Dongxin
Chen, Yuning
Lei, Yong
Liao, Boshou
Ren, Xiaoping
Varshney, Rajeev K.
Jiang, Huifang
author_sort Liu, Nian
collection PubMed
description BACKGROUND: Peanut is one of the primary sources for vegetable oil worldwide, and enhancing oil content is the main objective in several peanut breeding programs of the world. Tightly linked markers are required for faster development of high oil content peanut varieties through genomics-assisted breeding (GAB), and association mapping is one of the promising approaches for discovery of such associated markers. RESULTS: An association mapping panel consisting of 292 peanut varieties extensively distributed in China was phenotyped for oil content and genotyped with 583 polymorphic SSR markers. These markers amplified 3663 alleles with an average of 6.28 alleles per locus. The structure, phylogenetic relationship, and principal component analysis (PCA) indicated two subgroups majorly differentiating based on geographic regions. Genome-wide association analysis identified 12 associated markers including one (AGGS1014_2) highly stable association controlling up to 9.94% phenotypic variance explained (PVE) across multiple environments. Interestingly, the frequency of the favorable alleles for 12 associated markers showed a geographic difference. Two associated markers (AGGS1014_2 and AHGS0798) with 6.90–9.94% PVE were verified to enhance oil content in an independent RIL population and also indicated selection during the breeding program. CONCLUSION: This study provided insights into the genetic basis of oil content in peanut and verified highly associated two SSR markers to facilitate marker-assisted selection for developing high-oil content breeding peanut varieties.
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spelling pubmed-72820782020-06-10 Dissection of the genetic basis of oil content in Chinese peanut cultivars through association mapping Liu, Nian Huang, Li Chen, Weigang Wu, Bei Pandey, Manish K. Luo, Huaiyong Zhou, Xiaojing Guo, Jianbin Chen, Haiwen Huai, Dongxin Chen, Yuning Lei, Yong Liao, Boshou Ren, Xiaoping Varshney, Rajeev K. Jiang, Huifang BMC Genet Research Article BACKGROUND: Peanut is one of the primary sources for vegetable oil worldwide, and enhancing oil content is the main objective in several peanut breeding programs of the world. Tightly linked markers are required for faster development of high oil content peanut varieties through genomics-assisted breeding (GAB), and association mapping is one of the promising approaches for discovery of such associated markers. RESULTS: An association mapping panel consisting of 292 peanut varieties extensively distributed in China was phenotyped for oil content and genotyped with 583 polymorphic SSR markers. These markers amplified 3663 alleles with an average of 6.28 alleles per locus. The structure, phylogenetic relationship, and principal component analysis (PCA) indicated two subgroups majorly differentiating based on geographic regions. Genome-wide association analysis identified 12 associated markers including one (AGGS1014_2) highly stable association controlling up to 9.94% phenotypic variance explained (PVE) across multiple environments. Interestingly, the frequency of the favorable alleles for 12 associated markers showed a geographic difference. Two associated markers (AGGS1014_2 and AHGS0798) with 6.90–9.94% PVE were verified to enhance oil content in an independent RIL population and also indicated selection during the breeding program. CONCLUSION: This study provided insights into the genetic basis of oil content in peanut and verified highly associated two SSR markers to facilitate marker-assisted selection for developing high-oil content breeding peanut varieties. BioMed Central 2020-06-08 /pmc/articles/PMC7282078/ /pubmed/32513099 http://dx.doi.org/10.1186/s12863-020-00863-1 Text en © The Author(s) 2020 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Liu, Nian
Huang, Li
Chen, Weigang
Wu, Bei
Pandey, Manish K.
Luo, Huaiyong
Zhou, Xiaojing
Guo, Jianbin
Chen, Haiwen
Huai, Dongxin
Chen, Yuning
Lei, Yong
Liao, Boshou
Ren, Xiaoping
Varshney, Rajeev K.
Jiang, Huifang
Dissection of the genetic basis of oil content in Chinese peanut cultivars through association mapping
title Dissection of the genetic basis of oil content in Chinese peanut cultivars through association mapping
title_full Dissection of the genetic basis of oil content in Chinese peanut cultivars through association mapping
title_fullStr Dissection of the genetic basis of oil content in Chinese peanut cultivars through association mapping
title_full_unstemmed Dissection of the genetic basis of oil content in Chinese peanut cultivars through association mapping
title_short Dissection of the genetic basis of oil content in Chinese peanut cultivars through association mapping
title_sort dissection of the genetic basis of oil content in chinese peanut cultivars through association mapping
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7282078/
https://www.ncbi.nlm.nih.gov/pubmed/32513099
http://dx.doi.org/10.1186/s12863-020-00863-1
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