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From single- to multi-omics: future research trends in medicinal plants
Medicinal plants are the main source of natural metabolites with specialised pharmacological activities and have been widely examined by plant researchers. Numerous omics studies of medicinal plants have been performed to identify molecular markers of species and functional genes controlling key bio...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851310/ https://www.ncbi.nlm.nih.gov/pubmed/36416120 http://dx.doi.org/10.1093/bib/bbac485 |
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author | Yang, Lifang Yang, Ye Huang, Luqi Cui, Xiuming Liu, Yuan |
author_facet | Yang, Lifang Yang, Ye Huang, Luqi Cui, Xiuming Liu, Yuan |
author_sort | Yang, Lifang |
collection | PubMed |
description | Medicinal plants are the main source of natural metabolites with specialised pharmacological activities and have been widely examined by plant researchers. Numerous omics studies of medicinal plants have been performed to identify molecular markers of species and functional genes controlling key biological traits, as well as to understand biosynthetic pathways of bioactive metabolites and the regulatory mechanisms of environmental responses. Omics technologies have been widely applied to medicinal plants, including as taxonomics, transcriptomics, metabolomics, proteomics, genomics, pangenomics, epigenomics and mutagenomics. However, because of the complex biological regulation network, single omics usually fail to explain the specific biological phenomena. In recent years, reports of integrated multi-omics studies of medicinal plants have increased. Until now, there have few assessments of recent developments and upcoming trends in omics studies of medicinal plants. We highlight recent developments in omics research of medicinal plants, summarise the typical bioinformatics resources available for analysing omics datasets, and discuss related future directions and challenges. This information facilitates further studies of medicinal plants, refinement of current approaches and leads to new ideas. |
format | Online Article Text |
id | pubmed-9851310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98513102023-01-20 From single- to multi-omics: future research trends in medicinal plants Yang, Lifang Yang, Ye Huang, Luqi Cui, Xiuming Liu, Yuan Brief Bioinform Review Medicinal plants are the main source of natural metabolites with specialised pharmacological activities and have been widely examined by plant researchers. Numerous omics studies of medicinal plants have been performed to identify molecular markers of species and functional genes controlling key biological traits, as well as to understand biosynthetic pathways of bioactive metabolites and the regulatory mechanisms of environmental responses. Omics technologies have been widely applied to medicinal plants, including as taxonomics, transcriptomics, metabolomics, proteomics, genomics, pangenomics, epigenomics and mutagenomics. However, because of the complex biological regulation network, single omics usually fail to explain the specific biological phenomena. In recent years, reports of integrated multi-omics studies of medicinal plants have increased. Until now, there have few assessments of recent developments and upcoming trends in omics studies of medicinal plants. We highlight recent developments in omics research of medicinal plants, summarise the typical bioinformatics resources available for analysing omics datasets, and discuss related future directions and challenges. This information facilitates further studies of medicinal plants, refinement of current approaches and leads to new ideas. Oxford University Press 2022-11-22 /pmc/articles/PMC9851310/ /pubmed/36416120 http://dx.doi.org/10.1093/bib/bbac485 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Review Yang, Lifang Yang, Ye Huang, Luqi Cui, Xiuming Liu, Yuan From single- to multi-omics: future research trends in medicinal plants |
title | From single- to multi-omics: future research trends in medicinal plants |
title_full | From single- to multi-omics: future research trends in medicinal plants |
title_fullStr | From single- to multi-omics: future research trends in medicinal plants |
title_full_unstemmed | From single- to multi-omics: future research trends in medicinal plants |
title_short | From single- to multi-omics: future research trends in medicinal plants |
title_sort | from single- to multi-omics: future research trends in medicinal plants |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851310/ https://www.ncbi.nlm.nih.gov/pubmed/36416120 http://dx.doi.org/10.1093/bib/bbac485 |
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