Journal of Biotechnology, volume 262, pages 84-88

The complete genome sequence of the actinobacterium Streptomyces glaucescens GLA.O (DSM 40922) carrying gene clusters for the biosynthesis of tetracenomycin C, 5`-hydroxy streptomycin, and acarbose

Ortseifen Vera
Kalinowski Jörn 1, 2
Pühler Alfred 3
Rückert Christian 1
1
 
Technology Platform Genomics, Center for Biotechnology, Bielefeld University, Sequenz 1, 33615 Bielefeld, Germany
2
 
Microbial Genomics and Biotechnology, Center for Biotechnology, Bielefeld University, Universitätsstraße 27, 33615 Bielefeld, Germany.
3
 
Senior Research Group Genome Research of Industrial Microorganisms, Center for Biotechnology, Bielefeld University, Universitätsstraße 27, 33615 Bielefeld, Germany
Publication typeJournal Article
Publication date2017-11-01
Quartile SCImago
Q2
Quartile WOS
Q2
Impact factor4.1
ISSN01681656, 18734863
General Medicine
Applied Microbiology and Biotechnology
Biotechnology
Bioengineering
Abstract
The secondary metabolite acarbose is used worldwide in the clinical treatment of diabetes mellitus type 2 patients. Acarbose is a - glucosidase inhibitor and supports patients to control their blood glucose as well as their serum insulin levels. The secondary metabolite is produced by strains of the class Actinobacteria, in particular from Actinoplanes sp. SE50/110, which is a progenitor of today`s production strains. Moreover, secondary metabolite clusters could also be identified in Streptomyces coelicoflavus ZG0656 as well as Streptomyces glaucescens GLA.O. In this study, the genome S. glaucescens GLA.O with focus on the acarbose biosynthesis cluster (gac-cluster) was analyzed. First, the tetracenomycin C and the 5`-hydroxy streptomycin gene clusters could be described completely. Then the gac gene region in S. glaucescens GLA.O is compared to the other known biosynthesis gene cluster. In comparison to Actinoplanes sp. SE50/110 the gac-cluster showed structural variances, like the missing homolog of the glycosyltransferase AcbD in the whole genome of S. glaucescens GLA.O. Due to the lack of the glycosyltransferase, it was of particular interest whether additional acarviose metabolites other than acarbose could be formed. For detection of acarviose metabolites biosynthesis the supernatant of S. glaucescens GLA.O grown in starch supplemented complex media was harvested at 72 and 96 hours. Although a homolog of the known glycosyltransferase is absent, the LC-MS-supported analysis revealed that a spectrum of acarviose metabolites was formed.

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Ortseifen V. et al. The complete genome sequence of the actinobacterium Streptomyces glaucescens GLA.O (DSM 40922) carrying gene clusters for the biosynthesis of tetracenomycin C, 5`-hydroxy streptomycin, and acarbose // Journal of Biotechnology. 2017. Vol. 262. pp. 84-88.
GOST all authors (up to 50) Copy
Ortseifen V., Kalinowski J., Pühler A., Rückert C. The complete genome sequence of the actinobacterium Streptomyces glaucescens GLA.O (DSM 40922) carrying gene clusters for the biosynthesis of tetracenomycin C, 5`-hydroxy streptomycin, and acarbose // Journal of Biotechnology. 2017. Vol. 262. pp. 84-88.
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TY - JOUR
DO - 10.1016/j.jbiotec.2017.09.008
UR - https://doi.org/10.1016%2Fj.jbiotec.2017.09.008
TI - The complete genome sequence of the actinobacterium Streptomyces glaucescens GLA.O (DSM 40922) carrying gene clusters for the biosynthesis of tetracenomycin C, 5`-hydroxy streptomycin, and acarbose
T2 - Journal of Biotechnology
AU - Ortseifen, Vera
AU - Kalinowski, Jörn
AU - Pühler, Alfred
AU - Rückert, Christian
PY - 2017
DA - 2017/11/01 00:00:00
PB - Elsevier
SP - 84-88
VL - 262
SN - 0168-1656
SN - 1873-4863
ER -
BibTex
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BibTex Copy
@article{2017_Ortseifen,
author = {Vera Ortseifen and Jörn Kalinowski and Alfred Pühler and Christian Rückert},
title = {The complete genome sequence of the actinobacterium Streptomyces glaucescens GLA.O (DSM 40922) carrying gene clusters for the biosynthesis of tetracenomycin C, 5`-hydroxy streptomycin, and acarbose},
journal = {Journal of Biotechnology},
year = {2017},
volume = {262},
publisher = {Elsevier},
month = {nov},
url = {https://doi.org/10.1016%2Fj.jbiotec.2017.09.008},
pages = {84--88},
doi = {10.1016/j.jbiotec.2017.09.008}
}
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