Multi-omics approach in tea polyphenol research regarding tea plant growth, development and tea processing: current technologies and perspectives
Polyphenols are one of the most important metabolites in tea due to their unique biological activities and health benefits, arousing great attention of researchers to investigate biochemical mechanisms of polyphenols during tea plant growth, development and tea processing. Although omics has been us...
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Format: | Article |
Language: | English |
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Tsinghua University Press
2022-05-01
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Series: | Food Science and Human Wellness |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2213453021001385 |
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author | Jingwen Li Yu Wang Joon Hyuk Suh |
author_facet | Jingwen Li Yu Wang Joon Hyuk Suh |
author_sort | Jingwen Li |
collection | DOAJ |
description | Polyphenols are one of the most important metabolites in tea due to their unique biological activities and health benefits, arousing great attention of researchers to investigate biochemical mechanisms of polyphenols during tea plant growth, development and tea processing. Although omics has been used as a major analytical platform for tea polyphenol research with some proven merits, a single-omics strategy remains a considerable challenge due to the complexity of biological system and functional processes of tea in each stage of tea production. Recent advances in multi-omics approaches and data analysis have enabled mining and mapping of enormous number of datasets at different biological scales from genotypes to phenotypes of living organisms. These new technologies combining genomics, metagenomics, transcriptomics, proteomics and/or metabolomics can pave a new avenue to address fundamental questions regarding polyphenol formation and changes in tea plants and products. Here, we review recent progresses in single- and multi-omics approaches that have been used in the field of tea polyphenol studies. The perspectives on future research and applications for improvement of tea polyphenols as well as current challenges of multi-omics studies for tea polyphenols are also discussed. |
first_indexed | 2024-03-12T11:10:08Z |
format | Article |
id | doaj.art-13e290c89484458f8d79432587bc8941 |
institution | Directory Open Access Journal |
issn | 2213-4530 |
language | English |
last_indexed | 2024-03-12T11:10:08Z |
publishDate | 2022-05-01 |
publisher | Tsinghua University Press |
record_format | Article |
series | Food Science and Human Wellness |
spelling | doaj.art-13e290c89484458f8d79432587bc89412023-09-02T03:00:24ZengTsinghua University PressFood Science and Human Wellness2213-45302022-05-01113524536Multi-omics approach in tea polyphenol research regarding tea plant growth, development and tea processing: current technologies and perspectivesJingwen Li0Yu Wang1Joon Hyuk Suh2Department of Food Science and Human Nutrition, Citrus Research and Education Center, University of Florida, FL 33850, USADepartment of Food Science and Human Nutrition, Citrus Research and Education Center, University of Florida, FL 33850, USACorresponding author at: University of Florida, 700 Experiment Station Rd, Lake Alfred, FL 33850, USA.; Department of Food Science and Human Nutrition, Citrus Research and Education Center, University of Florida, FL 33850, USAPolyphenols are one of the most important metabolites in tea due to their unique biological activities and health benefits, arousing great attention of researchers to investigate biochemical mechanisms of polyphenols during tea plant growth, development and tea processing. Although omics has been used as a major analytical platform for tea polyphenol research with some proven merits, a single-omics strategy remains a considerable challenge due to the complexity of biological system and functional processes of tea in each stage of tea production. Recent advances in multi-omics approaches and data analysis have enabled mining and mapping of enormous number of datasets at different biological scales from genotypes to phenotypes of living organisms. These new technologies combining genomics, metagenomics, transcriptomics, proteomics and/or metabolomics can pave a new avenue to address fundamental questions regarding polyphenol formation and changes in tea plants and products. Here, we review recent progresses in single- and multi-omics approaches that have been used in the field of tea polyphenol studies. The perspectives on future research and applications for improvement of tea polyphenols as well as current challenges of multi-omics studies for tea polyphenols are also discussed.http://www.sciencedirect.com/science/article/pii/S2213453021001385Multi-omicsSingle-omicsTea polyphenolsTea breeding and processing |
spellingShingle | Jingwen Li Yu Wang Joon Hyuk Suh Multi-omics approach in tea polyphenol research regarding tea plant growth, development and tea processing: current technologies and perspectives Food Science and Human Wellness Multi-omics Single-omics Tea polyphenols Tea breeding and processing |
title | Multi-omics approach in tea polyphenol research regarding tea plant growth, development and tea processing: current technologies and perspectives |
title_full | Multi-omics approach in tea polyphenol research regarding tea plant growth, development and tea processing: current technologies and perspectives |
title_fullStr | Multi-omics approach in tea polyphenol research regarding tea plant growth, development and tea processing: current technologies and perspectives |
title_full_unstemmed | Multi-omics approach in tea polyphenol research regarding tea plant growth, development and tea processing: current technologies and perspectives |
title_short | Multi-omics approach in tea polyphenol research regarding tea plant growth, development and tea processing: current technologies and perspectives |
title_sort | multi omics approach in tea polyphenol research regarding tea plant growth development and tea processing current technologies and perspectives |
topic | Multi-omics Single-omics Tea polyphenols Tea breeding and processing |
url | http://www.sciencedirect.com/science/article/pii/S2213453021001385 |
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