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Identification of key genes involved in secondary metabolite biosynthesis in Digitalis purpurea
The medicinal plant Digitalis purpurea produces cardiac glycosides that are useful in the pharmaceutical industry. These bioactive compounds are in high demand due to ethnobotany’s application to therapeutic procedures. Recent studies have investigated the role of integrative analysis of multi-omics...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997893/ https://www.ncbi.nlm.nih.gov/pubmed/36893121 http://dx.doi.org/10.1371/journal.pone.0277293 |
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author | Amiri, Fatemeh Moghadam, Ali Tahmasebi, Ahmad Niazi, Ali |
author_facet | Amiri, Fatemeh Moghadam, Ali Tahmasebi, Ahmad Niazi, Ali |
author_sort | Amiri, Fatemeh |
collection | PubMed |
description | The medicinal plant Digitalis purpurea produces cardiac glycosides that are useful in the pharmaceutical industry. These bioactive compounds are in high demand due to ethnobotany’s application to therapeutic procedures. Recent studies have investigated the role of integrative analysis of multi-omics data in understanding cellular metabolic status through systems metabolic engineering approach, as well as its application to genetically engineering metabolic pathways. In spite of numerous omics experiments, most molecular mechanisms involved in metabolic pathways biosynthesis in D. purpurea remain unclear. Using R Package Weighted Gene Co-expression Network Analysis, co-expression analysis was performed on the transcriptome and metabolome data. As a result of our study, we identified transcription factors, transcriptional regulators, protein kinases, transporters, non-coding RNAs, and hub genes that are involved in the production of secondary metabolites. Since jasmonates are involved in the biosynthesis of cardiac glycosides, the candidate genes for Scarecrow-Like Protein 14 (SCL14), Delta24-sterol reductase (DWF1), HYDRA1 (HYD1), and Jasmonate-ZIM domain3 (JAZ3) were validated under methyl jasmonate treatment (MeJA, 100 μM). Despite early induction of JAZ3, which affected downstream genes, it was dramatically suppressed after 48 hours. SCL14, which targets DWF1, and HYD1, which induces cholesterol and cardiac glycoside biosynthesis, were both promoted. The correlation between key genes and main metabolites and validation of expression patterns provide a unique insight into the biosynthesis mechanisms of cardiac glycosides in D. purpurea. |
format | Online Article Text |
id | pubmed-9997893 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-99978932023-03-10 Identification of key genes involved in secondary metabolite biosynthesis in Digitalis purpurea Amiri, Fatemeh Moghadam, Ali Tahmasebi, Ahmad Niazi, Ali PLoS One Research Article The medicinal plant Digitalis purpurea produces cardiac glycosides that are useful in the pharmaceutical industry. These bioactive compounds are in high demand due to ethnobotany’s application to therapeutic procedures. Recent studies have investigated the role of integrative analysis of multi-omics data in understanding cellular metabolic status through systems metabolic engineering approach, as well as its application to genetically engineering metabolic pathways. In spite of numerous omics experiments, most molecular mechanisms involved in metabolic pathways biosynthesis in D. purpurea remain unclear. Using R Package Weighted Gene Co-expression Network Analysis, co-expression analysis was performed on the transcriptome and metabolome data. As a result of our study, we identified transcription factors, transcriptional regulators, protein kinases, transporters, non-coding RNAs, and hub genes that are involved in the production of secondary metabolites. Since jasmonates are involved in the biosynthesis of cardiac glycosides, the candidate genes for Scarecrow-Like Protein 14 (SCL14), Delta24-sterol reductase (DWF1), HYDRA1 (HYD1), and Jasmonate-ZIM domain3 (JAZ3) were validated under methyl jasmonate treatment (MeJA, 100 μM). Despite early induction of JAZ3, which affected downstream genes, it was dramatically suppressed after 48 hours. SCL14, which targets DWF1, and HYD1, which induces cholesterol and cardiac glycoside biosynthesis, were both promoted. The correlation between key genes and main metabolites and validation of expression patterns provide a unique insight into the biosynthesis mechanisms of cardiac glycosides in D. purpurea. Public Library of Science 2023-03-09 /pmc/articles/PMC9997893/ /pubmed/36893121 http://dx.doi.org/10.1371/journal.pone.0277293 Text en © 2023 Amiri et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Amiri, Fatemeh Moghadam, Ali Tahmasebi, Ahmad Niazi, Ali Identification of key genes involved in secondary metabolite biosynthesis in Digitalis purpurea |
title | Identification of key genes involved in secondary metabolite biosynthesis in Digitalis purpurea |
title_full | Identification of key genes involved in secondary metabolite biosynthesis in Digitalis purpurea |
title_fullStr | Identification of key genes involved in secondary metabolite biosynthesis in Digitalis purpurea |
title_full_unstemmed | Identification of key genes involved in secondary metabolite biosynthesis in Digitalis purpurea |
title_short | Identification of key genes involved in secondary metabolite biosynthesis in Digitalis purpurea |
title_sort | identification of key genes involved in secondary metabolite biosynthesis in digitalis purpurea |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997893/ https://www.ncbi.nlm.nih.gov/pubmed/36893121 http://dx.doi.org/10.1371/journal.pone.0277293 |
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