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Multiomics-based dissection of citrus flavonoid metabolism using a Citrus reticulata × Poncirus trifoliata population
Deciphering the genetic basis of plant secondary metabolism will provide useful insights for genetic improvement and enhance our fundamental understanding of plant biological processes. Although citrus plants are among the most important fruit crops worldwide, the genetic basis of secondary metaboli...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7917093/ https://www.ncbi.nlm.nih.gov/pubmed/33642588 http://dx.doi.org/10.1038/s41438-021-00472-8 |
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author | Mou, Jiaolin Zhang, Zhehui Qiu, Haiji Lu, Yang Zhu, Xiang Fan, Ziquan Zhang, Qinghua Ye, Junli Fernie, Alisdair R. Cheng, Yunjiang Deng, Xiuxin Wen, Weiwei |
author_facet | Mou, Jiaolin Zhang, Zhehui Qiu, Haiji Lu, Yang Zhu, Xiang Fan, Ziquan Zhang, Qinghua Ye, Junli Fernie, Alisdair R. Cheng, Yunjiang Deng, Xiuxin Wen, Weiwei |
author_sort | Mou, Jiaolin |
collection | PubMed |
description | Deciphering the genetic basis of plant secondary metabolism will provide useful insights for genetic improvement and enhance our fundamental understanding of plant biological processes. Although citrus plants are among the most important fruit crops worldwide, the genetic basis of secondary metabolism in these plants is largely unknown. Here, we use a high-density linkage map to dissect large-scale flavonoid metabolic traits measured in different tissues (young leaf, old leaf, mature pericarp, and mature pulp) of an F(1) pseudo-testcross citrus population. We detected 80 flavonoids in this population and identified 138 quantitative trait loci (QTLs) for 57 flavonoids in these four tissues. Based on transcriptional profiling and functional annotation, twenty-one candidate genes were identified, and one gene encoding flavanone 3-hydroxylase (F3H) was functionally verified to result in naturally occurring variation in dihydrokaempferol content through genetic variations in its promoter and coding regions. The abundant data resources collected for diverse citrus germplasms here lay the foundation for complete characterization of the citrus flavonoid biosynthetic pathway and will thereby promote efficient utilization of metabolites in citrus quality improvement. |
format | Online Article Text |
id | pubmed-7917093 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79170932021-03-04 Multiomics-based dissection of citrus flavonoid metabolism using a Citrus reticulata × Poncirus trifoliata population Mou, Jiaolin Zhang, Zhehui Qiu, Haiji Lu, Yang Zhu, Xiang Fan, Ziquan Zhang, Qinghua Ye, Junli Fernie, Alisdair R. Cheng, Yunjiang Deng, Xiuxin Wen, Weiwei Hortic Res Article Deciphering the genetic basis of plant secondary metabolism will provide useful insights for genetic improvement and enhance our fundamental understanding of plant biological processes. Although citrus plants are among the most important fruit crops worldwide, the genetic basis of secondary metabolism in these plants is largely unknown. Here, we use a high-density linkage map to dissect large-scale flavonoid metabolic traits measured in different tissues (young leaf, old leaf, mature pericarp, and mature pulp) of an F(1) pseudo-testcross citrus population. We detected 80 flavonoids in this population and identified 138 quantitative trait loci (QTLs) for 57 flavonoids in these four tissues. Based on transcriptional profiling and functional annotation, twenty-one candidate genes were identified, and one gene encoding flavanone 3-hydroxylase (F3H) was functionally verified to result in naturally occurring variation in dihydrokaempferol content through genetic variations in its promoter and coding regions. The abundant data resources collected for diverse citrus germplasms here lay the foundation for complete characterization of the citrus flavonoid biosynthetic pathway and will thereby promote efficient utilization of metabolites in citrus quality improvement. Nature Publishing Group UK 2021-03-01 /pmc/articles/PMC7917093/ /pubmed/33642588 http://dx.doi.org/10.1038/s41438-021-00472-8 Text en © The Author(s) 2021 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Mou, Jiaolin Zhang, Zhehui Qiu, Haiji Lu, Yang Zhu, Xiang Fan, Ziquan Zhang, Qinghua Ye, Junli Fernie, Alisdair R. Cheng, Yunjiang Deng, Xiuxin Wen, Weiwei Multiomics-based dissection of citrus flavonoid metabolism using a Citrus reticulata × Poncirus trifoliata population |
title | Multiomics-based dissection of citrus flavonoid metabolism using a Citrus reticulata × Poncirus trifoliata population |
title_full | Multiomics-based dissection of citrus flavonoid metabolism using a Citrus reticulata × Poncirus trifoliata population |
title_fullStr | Multiomics-based dissection of citrus flavonoid metabolism using a Citrus reticulata × Poncirus trifoliata population |
title_full_unstemmed | Multiomics-based dissection of citrus flavonoid metabolism using a Citrus reticulata × Poncirus trifoliata population |
title_short | Multiomics-based dissection of citrus flavonoid metabolism using a Citrus reticulata × Poncirus trifoliata population |
title_sort | multiomics-based dissection of citrus flavonoid metabolism using a citrus reticulata × poncirus trifoliata population |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7917093/ https://www.ncbi.nlm.nih.gov/pubmed/33642588 http://dx.doi.org/10.1038/s41438-021-00472-8 |
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