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Brazilian Journal of Microbiology

Print version ISSN 1517-8382On-line version ISSN 1678-4405

Braz. J. Microbiol. vol.49 no.1 São Paulo Jan./Mar. 2018

https://doi.org/10.1016/j.bjm.2017.01.013 

Genome Announcements

Genome sequence of Streptomyces mangrovisoli MUSC 149T isolated from intertidal sediments

Hooi-Leng Sera  b 

Wen-Si Tanc 

Nurul-Syakima Ab Mutalibd 

Wai-Fong Yinc 

Kok-Gan Chanc 

Bey-Hing Goha  d  e  * 

Learn-Han Leea  d  e  * 

aMonash University Malaysia, School of Pharmacy, Novel Bacteria and Drug Discovery (NBDD) Research Group, Selangor Darul Ehsan, Malaysia

bMonash University Malaysia, Jeffrey Cheah School of Medicine and Health Sciences, Biomedical Research Laboratory, Selangor Darul Ehsan, Malaysia

cUniversity of Malaya, Institute of Biological Sciences, Division of Genetics and Molecular Biology, Kuala Lumpur, Malaysia

dUniversity Kebangsaan Malaysia, UKM Medical Centre, UKM Medical Molecular Biology Institute (UMBI), Kuala Lumpur, Malaysia

eUniversity of Phayao, School of Pharmaceutical Sciences, Center of Health Outcomes Research and Therapeutic Safety (Cohorts), Phayao, Thailand


ABSTRACT

As the largest genus in Actinobacteria family, Streptomyces species have the ability to synthesize numerous compounds of diverse structures with bioactivities. Streptomyces mangrovisoli MUSC 149T was previously isolated as a novel streptomycete from mangrove forest in east coast of Peninsular Malaysia. The high quality draft genome of MUSC 149T comprises 9,165,825 bp with G + C content of 72.5%. Through bioinformatics analysis, 21 gene clusters identified in the genome were associated with the production of bioactive secondary metabolites. The presence of these biosynthetic gene clusters in MUSC 149T suggests the potential exploitation of the strain for production of medically important compounds.

Keywords: Genome sequence; Streptomyces; Mangrove; AntiSMASH; Bioinformatics analysis

Members of Streptomyces genus have received considerable attention and sparked interest among pharmaceutical industry as they are capable of synthesizing compounds of diverse structures with bioactivities including antibiotics, anti-rejection (immunosuppressant), antioxidant and anticancer.1-5Streptomyces mangrovisoli MUSC 149T was previously isolated as a novel streptomycete with antioxidant potential from mangrove forest in east coast of Peninsular Malaysia6,7 and the strain has been deposited at two culture collection centers (=MCCC 1K00252T = DSM 42140T). Thus, the strain MUSC 149T was selected for genome sequencing as an attempt to identify biosynthetic gene clusters associated with secondary metabolite production.

The genomic DNA of MUSC 149T was extracted with Masterpure™ DNA purification kit (Epicentre, Illumina Inc., Madison, WI, USA) followed by RNase (Qiagen, USA) treatment.8,9 DNA quality was examined using NanoDrop spectrophotometer (Thermo Scientific, Waltham, MA, USA) and a Qubit version 2.0 fluorometer (Life Technologies, Carlsbad, CA, USA). Subsequently, DNA library was constructed using Nextera™ DNA Sample Preparation kit (Nextera, USA) and the library quality was validated by Bioanalyzer 2100 high sensitivity DNA kit (Agilent Technologies, Palo Alto, CA) before performing paired-end on MiSeq platform with MiSeq Reagent Kit 2 (2× 250 bp; Illumina Inc., Madison, WI, USA). The paired-end reads were trimmed and de novo assembled with CLC Genomics Workbench version 7 (CLC bio, Denmark). The analysis generated 199 contigs with N50 size of 108,867 bp (Table 1). The assembled genome size of MUSC 149T contained 9,165,825 bp, with an average coverage of 119.0-fold and G+C content of 72.5%. The whole genome project of MUSC 149T was deposited at DDBJ/EMBL/GenBank under accession number LAVA00000000 and the version described in this paper is the second version (LAVA02000000).

Table 1 General features of Streptomyces mangrovisoli MUSC 149T genome. 

Streptomyces mangrovisoli MUSC 149T
Genome size (bp) 9,165,825
Contigs 199
Contigs N50 (bp) 108,867
G+C content % 72.5
Protein coding genes 7461
tRNA 69
rRNA 4 (5S),1 (16S),1 (23S)

Gene prediction was performed using Prodigal version 2.6, whereas rRNA and tRNA were predicted using RNAmmer and tRNAscan SE version 1.21.10-12 The assembly was uploaded for annotation to Rapid Annotation using Subsystem Technology (RAST).13 A total of 7461 protein-encoding genes was predicted and assigned to 442 subsystems, along with 69 tRNA and 6 rRNA genes (Fig. 1). Among the subsystems, most of the genes were involved in amino acids and derivatives metabolism (8.97%), followed by carbohydrates metabolism (8.40%) and cofactors, vitamins, prosthetic groups, pigments metabolism subsystems (4.91%).

Fig. 1 Subsystem category distribution of Streptomyces mangrovisoli MUSC 149T (based on RAST annotation server). 

In order to investigate its bioactive potential, the genome of MUSC 149T was further analyzed using antibiotics & Secondary Metabolite analysis shell (antiSMASH) version 3.0.14 The antiSMASH server revealed 21 gene clusters related to antibiotics and secondary metabolite biosynthesis, with four clusters showed more than 70% similarities to known gene clusters: venezuelin biosynthetic gene cluster (75%), ectoine biosynthetic gene cluster (75%), desferrioxamine B biosynthetic gene cluster (83%), and hopene biosynthetic gene cluster (85%). Previously, extract of MUSC 149T was found to possess antioxidant activity; the presence of siderophores biosynthetic gene clusters such as desferrioxamine B has further highlight the antioxidant potential of strain MUSC 149T.

In conclusion, we report the draft genome sequence of S. mangrovisoli MUSC 149T. The availability of its genome sequence has revealed production of potentially medically useful compounds and certainly deserves further detailed study.

Acknowledgments

This work was supported by PVC Award Grant (Project No. PVC-ECR-2016), External Industry Grant (Biotek Abadi Vote No. GBA-808813), Fundamental Research Grant Scheme (FRGS/1/2013/SKK01/MUSM/03/3), MOSTI eScience funds (Project No. 06-02-10-SF0300) awarded to L.-H.L. and MOSTI eScience funds (Project No. 02-02-10-SF0215) awarded to B.-H.G., and a University of Malaya for High Impact Research Grant (UM-MOHE HIR Nature Microbiome Grant No. H-50001-A000027 and No. A000001-50001) and PPP Grant (PG090-2015B) awarded to K.-G.C.

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Received: December 22, 2016; Accepted: January 31, 2017

*Corresponding author at: School of Pharmacy, Monash University Malaysia, 47500 Bandar Sunway, Selangor Darul Ehsan, Malaysia. E-mails: lee.learn.han@monash.edu, leelearnhan@yahoo.com (L. Lee).

Conflicts of interest

The authors declare no conflicts of interest.

Associate Editor: John McCulloch

Creative Commons License This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivative License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium provided the original work is properly cited and the work is not changed in any way.