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Genome-wide association study of eigenvectors provides genetic insights into selective breeding for tomato metabolites

BACKGROUND: Long-term domestication and intensive breeding of crop plants aim to establish traits desirable for human needs, and characteristics related to yield, disease resistance, and postharvest storage have traditionally received considerable attention. These processes have led also to negative...

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Autores principales: Yang, Junwei, Liang, Bin, Zhang, Yuemei, Liu, Yun, Wang, Shengyuan, Yang, Qinqin, Geng, Xiaolin, Liu, Simiao, Wu, Yaoyao, Zhu, Yingfang, Lin, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128223/
https://www.ncbi.nlm.nih.gov/pubmed/35606872
http://dx.doi.org/10.1186/s12915-022-01327-x
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author Yang, Junwei
Liang, Bin
Zhang, Yuemei
Liu, Yun
Wang, Shengyuan
Yang, Qinqin
Geng, Xiaolin
Liu, Simiao
Wu, Yaoyao
Zhu, Yingfang
Lin, Tao
author_facet Yang, Junwei
Liang, Bin
Zhang, Yuemei
Liu, Yun
Wang, Shengyuan
Yang, Qinqin
Geng, Xiaolin
Liu, Simiao
Wu, Yaoyao
Zhu, Yingfang
Lin, Tao
author_sort Yang, Junwei
collection PubMed
description BACKGROUND: Long-term domestication and intensive breeding of crop plants aim to establish traits desirable for human needs, and characteristics related to yield, disease resistance, and postharvest storage have traditionally received considerable attention. These processes have led also to negative consequences, as is the case of loss of variants controlling fruit quality, for instance in tomato. Tomato fruit quality is directly associated to metabolite content profiles; however, a full understanding of the genetics affecting metabolite content during tomato domestication and improvement has not been reached due to limitations of the single detection methods previously employed. Here, we aim to reach a broad understanding of changes in metabolite content using a genome-wide association study (GWAS) with eigenvector decomposition (EigenGWAS) on tomato accessions. RESULTS: An EigenGWAS was performed on 331 tomato accessions using the first eigenvector generated from the genomic data as a “phenotype” to understand the changes in fruit metabolite content during breeding. Two independent gene sets were identified that affected fruit metabolites during domestication and improvement in consumer-preferred tomatoes. Furthermore, 57 candidate genes related to polyphenol and polyamine biosynthesis were discovered, and a major candidate gene chlorogenate: glucarate caffeoyltransferase (SlCGT) was identified, which affected the quality and diseases resistance of tomato fruit, revealing the domestication mechanism of polyphenols. CONCLUSIONS: We identified gene sets that contributed to consumer liking during domestication and improvement of tomato. Our study reports novel evidence of selective sweeps and key metabolites controlled by multiple genes, increasing our understanding of the mechanisms of metabolites variation during those processes. It also supports a polygenic selection model for the application of tomato breeding. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12915-022-01327-x.
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spelling pubmed-91282232022-05-25 Genome-wide association study of eigenvectors provides genetic insights into selective breeding for tomato metabolites Yang, Junwei Liang, Bin Zhang, Yuemei Liu, Yun Wang, Shengyuan Yang, Qinqin Geng, Xiaolin Liu, Simiao Wu, Yaoyao Zhu, Yingfang Lin, Tao BMC Biol Research Article BACKGROUND: Long-term domestication and intensive breeding of crop plants aim to establish traits desirable for human needs, and characteristics related to yield, disease resistance, and postharvest storage have traditionally received considerable attention. These processes have led also to negative consequences, as is the case of loss of variants controlling fruit quality, for instance in tomato. Tomato fruit quality is directly associated to metabolite content profiles; however, a full understanding of the genetics affecting metabolite content during tomato domestication and improvement has not been reached due to limitations of the single detection methods previously employed. Here, we aim to reach a broad understanding of changes in metabolite content using a genome-wide association study (GWAS) with eigenvector decomposition (EigenGWAS) on tomato accessions. RESULTS: An EigenGWAS was performed on 331 tomato accessions using the first eigenvector generated from the genomic data as a “phenotype” to understand the changes in fruit metabolite content during breeding. Two independent gene sets were identified that affected fruit metabolites during domestication and improvement in consumer-preferred tomatoes. Furthermore, 57 candidate genes related to polyphenol and polyamine biosynthesis were discovered, and a major candidate gene chlorogenate: glucarate caffeoyltransferase (SlCGT) was identified, which affected the quality and diseases resistance of tomato fruit, revealing the domestication mechanism of polyphenols. CONCLUSIONS: We identified gene sets that contributed to consumer liking during domestication and improvement of tomato. Our study reports novel evidence of selective sweeps and key metabolites controlled by multiple genes, increasing our understanding of the mechanisms of metabolites variation during those processes. It also supports a polygenic selection model for the application of tomato breeding. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12915-022-01327-x. BioMed Central 2022-05-24 /pmc/articles/PMC9128223/ /pubmed/35606872 http://dx.doi.org/10.1186/s12915-022-01327-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Yang, Junwei
Liang, Bin
Zhang, Yuemei
Liu, Yun
Wang, Shengyuan
Yang, Qinqin
Geng, Xiaolin
Liu, Simiao
Wu, Yaoyao
Zhu, Yingfang
Lin, Tao
Genome-wide association study of eigenvectors provides genetic insights into selective breeding for tomato metabolites
title Genome-wide association study of eigenvectors provides genetic insights into selective breeding for tomato metabolites
title_full Genome-wide association study of eigenvectors provides genetic insights into selective breeding for tomato metabolites
title_fullStr Genome-wide association study of eigenvectors provides genetic insights into selective breeding for tomato metabolites
title_full_unstemmed Genome-wide association study of eigenvectors provides genetic insights into selective breeding for tomato metabolites
title_short Genome-wide association study of eigenvectors provides genetic insights into selective breeding for tomato metabolites
title_sort genome-wide association study of eigenvectors provides genetic insights into selective breeding for tomato metabolites
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128223/
https://www.ncbi.nlm.nih.gov/pubmed/35606872
http://dx.doi.org/10.1186/s12915-022-01327-x
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