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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
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.
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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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