Literature DB >> 29976609

Draft Genome Sequence of Bioactive Strain Streptomyces sp. SMS_SU21, Isolated from Soil Sediment of the Sundarbans Mangrove Ecosystem.

Sohan Sengupta1, Arnab Pramanik1, Pijush Basak2, Maitree Bhattacharyya2,3.   

Abstract

Streptomyces sp. SMS_SU21 possesses strong antimicrobial activity and antioxidant potential. This strain was isolated from the Sundarbans mangrove ecosystem, and its draft genome comprises 7,449,420 bp with 6,680 open reading frames. Genome analysis of strain SMS_SU21 provides insight into its secondary metabolite arsenal and reveals the gene clusters putatively responsible for its bioactive potential.
Copyright © 2018 Sengupta et al.

Entities:  

Year:  2018        PMID: 29976609      PMCID: PMC6033983          DOI: 10.1128/genomeA.00614-18

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Mangrove streptomycetes are rich sources of natural products with significant biological activities and novel structures (1). Genome mining of mangrove streptomycetes accelerates the rapid discovery of useful products originating from them. In this study, Streptomyces sp. SMS_SU21 was isolated from the soil sediment of the Sundarbans mangrove ecosystem in India. This strain possesses potent antimicrobial activity against a broad spectrum of microorganisms, including multidrug-resistant strains and various phytopathogens (2). Interspecies competition within the residing microbial population is an obvious phenomenon in the Sundarbans, due to the rich index of species diversity and limited consumable nutrient sources (3) found there. Thus, in-depth information regarding the genomic edifice of this strain is required to understand its survival strategies in a competitive environment like the Sundarbans mangrove ecosystem. Genomic DNA was extracted with a HiPurA streptomycetes DNA isolation and purification kit (Himedia, India). Shotgun sequencing was performed with a high-throughput HiSeq platform (Illumina) at AgriGenome Labs Private Limited in Kerala, India. Prior to whole-genome analysis, Cutadapt version 1.8 (4) was used to remove adapter sequences, and all low-quality data (Q < 30) were filtered out using Sickle version 1.33 (5). The cleaned reads were subjected to analysis with Kmergenie (6) to predict the optimal k-value and assembly size, which were found to be 31 and 7,449,420 bp, respectively. De novo assembly was performed using SPAdes version 3.9.0 (7), Velvet (8), and QUAST (9). The genome sequence of Streptomyces sp. SMS_SU21 was annotated using the Rapid Annotations using Subsystems Technology (RAST) server (10) and the NCBI Prokaryotic Genome Annotation Pipeline (PGAP) version 4.3 (11). The draft genome sequence of Streptomyces sp. SMS_SU21 constituted a total of 93 contigs (>1,000 bp), with a total size of 7,449,420 bp and a G+C content of 72.3%. The RAST server predicted 6,680 coding sequences, of which 2,208 (34%) were annotated as SEED subsystem features and 4,472 (66%) were annotated as outside the SEED subsystem; 3 rRNAs and 67 tRNAs were also predicted. The closest related type strains based on the 16S rRNA gene sequence are S. griseorubens NBRC 12780 (GenBank accession number AB184139), S. althioticus NRRL B-3981 (GenBank accession number AY999791), and S. griseoincarnatus LMG 19316 (GenBank accession number AJ781321), all with 99% sequence identity. Secondary metabolite biosynthetic gene clusters (BGCs) were predicted using antiSMASH version 4.0 (12), which identified 24 putative BGCs in the genome. This includes nonribosomal peptide synthetase (NRPS) gene clusters, polyketide synthase (PKS), novel hybrid PKS-NRPS gene clusters, and other BGCs for producing siderophores, lantipeptides, lassopeptide, and bacteriocin. Numerous genes responsible for resistance to toxic compounds, including arsenic, mercury, cobalt, tellurium, and cadmium, were additionally detected. Hence, Streptomyces sp. SMS_SU21 may have great potential to produce exclusive bioactive natural compounds for clinical, industrial, and environmental applications.

Accession number(s).

This whole-genome shotgun project has been deposited at DDBJ/ENA/GenBank under the accession number PNRA00000000. The version described in this paper is the second version, PNRA02000000.
  10 in total

1.  SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

Authors:  Anton Bankevich; Sergey Nurk; Dmitry Antipov; Alexey A Gurevich; Mikhail Dvorkin; Alexander S Kulikov; Valery M Lesin; Sergey I Nikolenko; Son Pham; Andrey D Prjibelski; Alexey V Pyshkin; Alexander V Sirotkin; Nikolay Vyahhi; Glenn Tesler; Max A Alekseyev; Pavel A Pevzner
Journal:  J Comput Biol       Date:  2012-04-16       Impact factor: 1.479

2.  Using the Velvet de novo assembler for short-read sequencing technologies.

Authors:  Daniel R Zerbino
Journal:  Curr Protoc Bioinformatics       Date:  2010-09

3.  Informed and automated k-mer size selection for genome assembly.

Authors:  Rayan Chikhi; Paul Medvedev
Journal:  Bioinformatics       Date:  2013-06-03       Impact factor: 6.937

4.  QUAST: quality assessment tool for genome assemblies.

Authors:  Alexey Gurevich; Vladislav Saveliev; Nikolay Vyahhi; Glenn Tesler
Journal:  Bioinformatics       Date:  2013-02-19       Impact factor: 6.937

5.  Spatiotemporal analysis of bacterial diversity in sediments of Sundarbans using parallel 16S rRNA gene tag sequencing.

Authors:  Pijush Basak; Niladri Shekhar Majumder; Sudip Nag; Anish Bhattacharyya; Debojyoti Roy; Arpita Chakraborty; Sohan SenGupta; Arunava Roy; Arghya Mukherjee; Rudradip Pattanayak; Abhrajyoti Ghosh; Dhrubajyoti Chattopadhyay; Maitree Bhattacharyya
Journal:  Microb Ecol       Date:  2014-09-26       Impact factor: 4.552

6.  Streptomyces avicenniae sp. nov., a novel actinomycete isolated from the rhizosphere of the mangrove plant Avicennia mariana.

Authors:  Jing Xiao; Yin Wang; Yingxue Luo; Shu-Jie Xie; Ji-Sheng Ruan; Jun Xu
Journal:  Int J Syst Evol Microbiol       Date:  2009-07-22       Impact factor: 2.747

7.  Antimicrobial activities of actinomycetes isolated from unexplored regions of Sundarbans mangrove ecosystem.

Authors:  Sohan Sengupta; Arnab Pramanik; Abhrajyoti Ghosh; Maitree Bhattacharyya
Journal:  BMC Microbiol       Date:  2015-08-21       Impact factor: 3.605

8.  antiSMASH 4.0-improvements in chemistry prediction and gene cluster boundary identification.

Authors:  Kai Blin; Thomas Wolf; Marc G Chevrette; Xiaowen Lu; Christopher J Schwalen; Satria A Kautsar; Hernando G Suarez Duran; Emmanuel L C de Los Santos; Hyun Uk Kim; Mariana Nave; Jeroen S Dickschat; Douglas A Mitchell; Ekaterina Shelest; Rainer Breitling; Eriko Takano; Sang Yup Lee; Tilmann Weber; Marnix H Medema
Journal:  Nucleic Acids Res       Date:  2017-07-03       Impact factor: 16.971

9.  The RAST Server: rapid annotations using subsystems technology.

Authors:  Ramy K Aziz; Daniela Bartels; Aaron A Best; Matthew DeJongh; Terrence Disz; Robert A Edwards; Kevin Formsma; Svetlana Gerdes; Elizabeth M Glass; Michael Kubal; Folker Meyer; Gary J Olsen; Robert Olson; Andrei L Osterman; Ross A Overbeek; Leslie K McNeil; Daniel Paarmann; Tobias Paczian; Bruce Parrello; Gordon D Pusch; Claudia Reich; Rick Stevens; Olga Vassieva; Veronika Vonstein; Andreas Wilke; Olga Zagnitko
Journal:  BMC Genomics       Date:  2008-02-08       Impact factor: 3.969

10.  NCBI prokaryotic genome annotation pipeline.

Authors:  Tatiana Tatusova; Michael DiCuccio; Azat Badretdin; Vyacheslav Chetvernin; Eric P Nawrocki; Leonid Zaslavsky; Alexandre Lomsadze; Kim D Pruitt; Mark Borodovsky; James Ostell
Journal:  Nucleic Acids Res       Date:  2016-06-24       Impact factor: 16.971

  10 in total

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