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Isolation, complete genome sequencing and in silico genome mining of Burkholderia for secondary metabolites
Recent years, Burkholderia species have emerged as a new source of natural products (NPs) with increasing attractions. Genome mining suggests the Burkholderia genomes include many natural product biosynthetic gene clusters (BGCs) which are new targets for drug discovery. In order to collect more Bur...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9801586/ https://www.ncbi.nlm.nih.gov/pubmed/36581815 http://dx.doi.org/10.1186/s12866-022-02692-x |
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author | Alam, Khorshed Zhao, Yiming Lu, Xuefei Gong, Kai Zhong, Lin Hao, Jinfang Islam, Md. Mahmudul Islam, Saiful Li, Geng Zhang, Youming Li, Ruijuan Li, Aiying |
author_facet | Alam, Khorshed Zhao, Yiming Lu, Xuefei Gong, Kai Zhong, Lin Hao, Jinfang Islam, Md. Mahmudul Islam, Saiful Li, Geng Zhang, Youming Li, Ruijuan Li, Aiying |
author_sort | Alam, Khorshed |
collection | PubMed |
description | Recent years, Burkholderia species have emerged as a new source of natural products (NPs) with increasing attractions. Genome mining suggests the Burkholderia genomes include many natural product biosynthetic gene clusters (BGCs) which are new targets for drug discovery. In order to collect more Burkholderia, here, a strain S-53 was isolated from the soil samples on a mountain area in Changde, P.R. China and verified by comparative genetic analysis to belong to Burkholderia. The complete genome of Burkholderia strain S-53 is 8.2 Mbps in size with an average G + C content of 66.35%. Its taxonomy was both characterized by 16S rRNA- and whole genome-based phylogenetic trees. Bioinformatic prediction in silico revealed it has a total of 15 NP BGCs, some of which may encode unknown products. It is expectable that availability of these BGCs will speed up the identification of new secondary metabolites from Burkholderia and help us understand how sophisticated BGC regulation works. |
format | Online Article Text |
id | pubmed-9801586 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98015862022-12-31 Isolation, complete genome sequencing and in silico genome mining of Burkholderia for secondary metabolites Alam, Khorshed Zhao, Yiming Lu, Xuefei Gong, Kai Zhong, Lin Hao, Jinfang Islam, Md. Mahmudul Islam, Saiful Li, Geng Zhang, Youming Li, Ruijuan Li, Aiying BMC Microbiol Research Recent years, Burkholderia species have emerged as a new source of natural products (NPs) with increasing attractions. Genome mining suggests the Burkholderia genomes include many natural product biosynthetic gene clusters (BGCs) which are new targets for drug discovery. In order to collect more Burkholderia, here, a strain S-53 was isolated from the soil samples on a mountain area in Changde, P.R. China and verified by comparative genetic analysis to belong to Burkholderia. The complete genome of Burkholderia strain S-53 is 8.2 Mbps in size with an average G + C content of 66.35%. Its taxonomy was both characterized by 16S rRNA- and whole genome-based phylogenetic trees. Bioinformatic prediction in silico revealed it has a total of 15 NP BGCs, some of which may encode unknown products. It is expectable that availability of these BGCs will speed up the identification of new secondary metabolites from Burkholderia and help us understand how sophisticated BGC regulation works. BioMed Central 2022-12-30 /pmc/articles/PMC9801586/ /pubmed/36581815 http://dx.doi.org/10.1186/s12866-022-02692-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Alam, Khorshed Zhao, Yiming Lu, Xuefei Gong, Kai Zhong, Lin Hao, Jinfang Islam, Md. Mahmudul Islam, Saiful Li, Geng Zhang, Youming Li, Ruijuan Li, Aiying Isolation, complete genome sequencing and in silico genome mining of Burkholderia for secondary metabolites |
title | Isolation, complete genome sequencing and in silico genome mining of Burkholderia for secondary metabolites |
title_full | Isolation, complete genome sequencing and in silico genome mining of Burkholderia for secondary metabolites |
title_fullStr | Isolation, complete genome sequencing and in silico genome mining of Burkholderia for secondary metabolites |
title_full_unstemmed | Isolation, complete genome sequencing and in silico genome mining of Burkholderia for secondary metabolites |
title_short | Isolation, complete genome sequencing and in silico genome mining of Burkholderia for secondary metabolites |
title_sort | isolation, complete genome sequencing and in silico genome mining of burkholderia for secondary metabolites |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9801586/ https://www.ncbi.nlm.nih.gov/pubmed/36581815 http://dx.doi.org/10.1186/s12866-022-02692-x |
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