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Complete genome sequencing and in silico genome mining reveal the promising metabolic potential in Streptomyces strain CS-7

Gram-positive Streptomyces bacteria can produce valuable secondary metabolites. Streptomyces genomes include huge unknown silent natural product (NP) biosynthetic gene clusters (BGCs), making them a potential drug discovery repository. To collect antibiotic-producing bacteria from unexplored areas,...

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Autores principales: Alam, Khorshed, Hao, Jinfang, Zhong, Lin, Fan, Guoqing, Ouyang, Qing, Islam, Md. Mahmudul, Islam, Saiful, Sun, Hongluan, Zhang, Youming, Li, Ruijuan, Li, Aiying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581153/
https://www.ncbi.nlm.nih.gov/pubmed/36274688
http://dx.doi.org/10.3389/fmicb.2022.939919
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author Alam, Khorshed
Hao, Jinfang
Zhong, Lin
Fan, Guoqing
Ouyang, Qing
Islam, Md. Mahmudul
Islam, Saiful
Sun, Hongluan
Zhang, Youming
Li, Ruijuan
Li, Aiying
author_facet Alam, Khorshed
Hao, Jinfang
Zhong, Lin
Fan, Guoqing
Ouyang, Qing
Islam, Md. Mahmudul
Islam, Saiful
Sun, Hongluan
Zhang, Youming
Li, Ruijuan
Li, Aiying
author_sort Alam, Khorshed
collection PubMed
description Gram-positive Streptomyces bacteria can produce valuable secondary metabolites. Streptomyces genomes include huge unknown silent natural product (NP) biosynthetic gene clusters (BGCs), making them a potential drug discovery repository. To collect antibiotic-producing bacteria from unexplored areas, we identified Streptomyces sp. CS-7 from mountain soil samples in Changsha, P.R. China, which showed strong antibacterial activity. Complete genome sequencing and prediction in silico revealed that its 8.4 Mbp genome contains a total of 36 BGCs for NPs. We purified two important antibiotics from this strain, which were structurally elucidated to be mayamycin and mayamycin B active against Staphylococcus aureus. We identified functionally a BGC for the biosynthesis of these two compounds by BGC direct cloning and heterologous expression in Streptomyces albus. The data here supported this Streptomyces species, especially from unexplored habitats, having a high potential for new NPs.
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spelling pubmed-95811532022-10-20 Complete genome sequencing and in silico genome mining reveal the promising metabolic potential in Streptomyces strain CS-7 Alam, Khorshed Hao, Jinfang Zhong, Lin Fan, Guoqing Ouyang, Qing Islam, Md. Mahmudul Islam, Saiful Sun, Hongluan Zhang, Youming Li, Ruijuan Li, Aiying Front Microbiol Microbiology Gram-positive Streptomyces bacteria can produce valuable secondary metabolites. Streptomyces genomes include huge unknown silent natural product (NP) biosynthetic gene clusters (BGCs), making them a potential drug discovery repository. To collect antibiotic-producing bacteria from unexplored areas, we identified Streptomyces sp. CS-7 from mountain soil samples in Changsha, P.R. China, which showed strong antibacterial activity. Complete genome sequencing and prediction in silico revealed that its 8.4 Mbp genome contains a total of 36 BGCs for NPs. We purified two important antibiotics from this strain, which were structurally elucidated to be mayamycin and mayamycin B active against Staphylococcus aureus. We identified functionally a BGC for the biosynthesis of these two compounds by BGC direct cloning and heterologous expression in Streptomyces albus. The data here supported this Streptomyces species, especially from unexplored habitats, having a high potential for new NPs. Frontiers Media S.A. 2022-10-05 /pmc/articles/PMC9581153/ /pubmed/36274688 http://dx.doi.org/10.3389/fmicb.2022.939919 Text en Copyright © 2022 Alam, Hao, Zhong, Fan, Ouyang, Islam, Islam, Sun, Zhang, Li and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Alam, Khorshed
Hao, Jinfang
Zhong, Lin
Fan, Guoqing
Ouyang, Qing
Islam, Md. Mahmudul
Islam, Saiful
Sun, Hongluan
Zhang, Youming
Li, Ruijuan
Li, Aiying
Complete genome sequencing and in silico genome mining reveal the promising metabolic potential in Streptomyces strain CS-7
title Complete genome sequencing and in silico genome mining reveal the promising metabolic potential in Streptomyces strain CS-7
title_full Complete genome sequencing and in silico genome mining reveal the promising metabolic potential in Streptomyces strain CS-7
title_fullStr Complete genome sequencing and in silico genome mining reveal the promising metabolic potential in Streptomyces strain CS-7
title_full_unstemmed Complete genome sequencing and in silico genome mining reveal the promising metabolic potential in Streptomyces strain CS-7
title_short Complete genome sequencing and in silico genome mining reveal the promising metabolic potential in Streptomyces strain CS-7
title_sort complete genome sequencing and in silico genome mining reveal the promising metabolic potential in streptomyces strain cs-7
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581153/
https://www.ncbi.nlm.nih.gov/pubmed/36274688
http://dx.doi.org/10.3389/fmicb.2022.939919
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