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Isolation, complete genome sequencing and in silico genome mining of Burkholderia for secondary metabolites.

Authors :
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
Source :
BMC Microbiology. 12/30/2022, Vol. 22 Issue 1, p1-11. 11p.
Publication Year :
2022

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14712180
Volume :
22
Issue :
1
Database :
Academic Search Index
Journal :
BMC Microbiology
Publication Type :
Academic Journal
Accession number :
161061110
Full Text :
https://doi.org/10.1186/s12866-022-02692-x