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Effective prediction of biosynthetic pathway genes involved in bioactive polyphyllins in Paris polyphylla
The genes in polyphyllins pathway mixed with other steroid biosynthetic genes form an extremely complex biosynthetic network in Paris polyphylla with a giant genome. The lack of genomic data and tissue specificity causes the study of the biosynthetic pathway notably difficult. Here, we report an eff...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758714/ https://www.ncbi.nlm.nih.gov/pubmed/35027659 http://dx.doi.org/10.1038/s42003-022-03000-z |
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author | Hua, Xin Song, Wei Wang, Kangzong Yin, Xue Hao, Changqi Duan, Baozhong Xu, Zhichao Su, Tongbing Xue, Zheyong |
author_facet | Hua, Xin Song, Wei Wang, Kangzong Yin, Xue Hao, Changqi Duan, Baozhong Xu, Zhichao Su, Tongbing Xue, Zheyong |
author_sort | Hua, Xin |
collection | PubMed |
description | The genes in polyphyllins pathway mixed with other steroid biosynthetic genes form an extremely complex biosynthetic network in Paris polyphylla with a giant genome. The lack of genomic data and tissue specificity causes the study of the biosynthetic pathway notably difficult. Here, we report an effective method for the prediction of key genes of polyphyllin biosynthesis. Full-length transcriptome from eight different organs via hybrid sequencing of next generation sequencingand third generation sequencing platforms annotated two 2,3-oxidosqualene cyclases (OSCs), 216 cytochrome P450s (CYPs), and 199 UDP glycosyltransferases (UGTs). Combining metabolic differences, gene-weighted co-expression network analysis, and phylogenetic trees, the candidate ranges of OSC, CYP, and UGT genes were further narrowed down to 2, 15, and 24, respectively. Beside the three previously characterized CYPs, we identified the OSC involved in the synthesis of cycloartenol and the UGT (PpUGT73CR1) at the C-3 position of diosgenin and pennogenin in P. polyphylla. This study provides an idea for the investigation of gene cluster deficiency biosynthesis pathways in medicinal plants. |
format | Online Article Text |
id | pubmed-8758714 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87587142022-01-20 Effective prediction of biosynthetic pathway genes involved in bioactive polyphyllins in Paris polyphylla Hua, Xin Song, Wei Wang, Kangzong Yin, Xue Hao, Changqi Duan, Baozhong Xu, Zhichao Su, Tongbing Xue, Zheyong Commun Biol Article The genes in polyphyllins pathway mixed with other steroid biosynthetic genes form an extremely complex biosynthetic network in Paris polyphylla with a giant genome. The lack of genomic data and tissue specificity causes the study of the biosynthetic pathway notably difficult. Here, we report an effective method for the prediction of key genes of polyphyllin biosynthesis. Full-length transcriptome from eight different organs via hybrid sequencing of next generation sequencingand third generation sequencing platforms annotated two 2,3-oxidosqualene cyclases (OSCs), 216 cytochrome P450s (CYPs), and 199 UDP glycosyltransferases (UGTs). Combining metabolic differences, gene-weighted co-expression network analysis, and phylogenetic trees, the candidate ranges of OSC, CYP, and UGT genes were further narrowed down to 2, 15, and 24, respectively. Beside the three previously characterized CYPs, we identified the OSC involved in the synthesis of cycloartenol and the UGT (PpUGT73CR1) at the C-3 position of diosgenin and pennogenin in P. polyphylla. This study provides an idea for the investigation of gene cluster deficiency biosynthesis pathways in medicinal plants. Nature Publishing Group UK 2022-01-13 /pmc/articles/PMC8758714/ /pubmed/35027659 http://dx.doi.org/10.1038/s42003-022-03000-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Hua, Xin Song, Wei Wang, Kangzong Yin, Xue Hao, Changqi Duan, Baozhong Xu, Zhichao Su, Tongbing Xue, Zheyong Effective prediction of biosynthetic pathway genes involved in bioactive polyphyllins in Paris polyphylla |
title | Effective prediction of biosynthetic pathway genes involved in bioactive polyphyllins in Paris polyphylla |
title_full | Effective prediction of biosynthetic pathway genes involved in bioactive polyphyllins in Paris polyphylla |
title_fullStr | Effective prediction of biosynthetic pathway genes involved in bioactive polyphyllins in Paris polyphylla |
title_full_unstemmed | Effective prediction of biosynthetic pathway genes involved in bioactive polyphyllins in Paris polyphylla |
title_short | Effective prediction of biosynthetic pathway genes involved in bioactive polyphyllins in Paris polyphylla |
title_sort | effective prediction of biosynthetic pathway genes involved in bioactive polyphyllins in paris polyphylla |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758714/ https://www.ncbi.nlm.nih.gov/pubmed/35027659 http://dx.doi.org/10.1038/s42003-022-03000-z |
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