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. 2011 Jul;193(14):3691–3692. doi: 10.1128/JB.05097-11

Draft Genome Sequence of the Marine Streptomyces sp. Strain PP-C42, Isolated from the Baltic Sea

Longjiang Fan 1, Yun Liu 1, Zefeng Li 1, Heike I Baumann 3, Katrin Kleinschmidt 3, Wanzhi Ye 2, Johannes F Imhoff 3, Michael Kleine 4, Daguang Cai 2,*
PMCID: PMC3133317  PMID: 21571991

Abstract

Streptomyces, a branch of aerobic Gram-positive bacteria, represents the largest genus of actinobacteria. The streptomycetes are characterized by a complex secondary metabolism and produce over two-thirds of the clinically used natural antibiotics today. Here we report the draft genome sequence of a Streptomyces strain, PP-C42, isolated from the marine environment. A subset of unique genes and gene clusters for diverse secondary metabolites as well as antimicrobial peptides could be identified from the genome, showing great promise as a source for novel bioactive compounds.

GENOME ANNOUNCEMENT

Streptomyces, a branch of aerobic Gram-positive bacteria, represents the largest genus of actinobacteria, with more than 900 described species. Streptomycetes are characterized by the formation of mycelia and spores during their life cycle and by a complex secondary metabolism. They produce more than two-thirds of the clinically used natural antibiotics (4, 11) and represent an important source of novel bioactive compounds. Furthermore, many enzymes produced by streptomycetes are important for food manufacturing (3) and for diverse industrial applications (7). Streptomyces strains have been isolated and characterized from a large variety of habitats (10, 13). Although more than five Streptomyces genomes have been completely sequenced in recent years, numerous genome sequencing projects with different Streptomyces species are still ongoing. Streptomycetes have linear chromosomes (approximately 8 to 12 Mb) with a high G+C content (11). More than 20 diverse secondary metabolic gene clusters in their genome have been described to date (11, 12).

Streptomyces sp. strain PP-C42 was isolated from the surface layer of a sediment core taken at a water depth of 241 m from the Gotland Deep in the Baltic Sea. The sampling was taken through a small gravity corer during an expedition with the research vessel Alkor AL156 in the year 2000.

Raw data of the genome were generated from two independent sequencing lanes using Illumina GA II and assembled with the Velvet program (18). The released genome sequence of the Streptomyces strain IFO 13350 (12) served as a reference. GeneMarkS (2), tRNAscan-SE (14), and RNAmmer (8) were utilized to predict protein-coding genes, tRNAs, and rRNAs, respectively. The GSP software (http://gsizepred.sourceforge.net) was used to estimate the genome size of the strain (5, 9).

The draft genome sequence of strain PP-C42 comprises 7,167,114 bases representing approximately 74.5% of the 9.6-Mb estimated size of the PP-C42 genome. The genome of strain PP-C42 has a high G+C content of 72.5%. The draft genome sequence contains 4,410 open reading frames (ORFs), 62 tRNAs, and 24 rRNAs. Of 4,410 ORFs, 2,774 genes have orthologs in Streptomyces strain IFO 13350 (12) (BLASTP < 1e−5), while 1,076 ORFs were not found in any of the five released genome sequences of other Streptomyces strains (1, 11) and 1,068 ORFs did not give any hits in the current public databases. This may be a reflection of a high degree of the strain specificity of the PP-C42 genome. So far, 19 diverse secondary metabolic genes have been identified; these genes are located on the PP-C42 genome in various gene clusters, which exhibit high genomic synteny to those of various Streptomyces species. Also, a set of hits was retrieved (BLASTP < 1e−5) from various antimicrobial peptide databases (6, 15, 16, 17) but with striking sequence variations at both DNA and amino acid levels when compared to their orthologs from other Streptomyces species. Thus, the unique genome information provided by the draft sequence of PP-C42 has great importance for basic as well as applied microbial genomic researches.

Nucleotide sequence accession numbers.

This whole genome shotgun project has been deposited at DDBJ/EMBL/GenBank under the accession AEWS00000000. The version described in this paper is the first version under accession number AEWS01000000.

Acknowledgments

This project was supported by the Bundesministerium für Bildung und Forschung (BMBF), Germany (grant 0315231A, B), and the Minsterium für Wissenschaft, Wirtschaft und Verkehr des Landes Schleswig-Holstein (grant 122-08-002). We thank DAAD (grant D/08/01773, 4) and the China Scholarship Council (grant A/10/00701) for providing the scholarship reward as well as international exchange grants.

We thank Jun Wang for his help with the Solexa sequencing and Katharina Peetz for her technical support.

Footnotes

Published ahead of print on 13 May 2011.

REFERENCES

  • 1. Anderson A. S., Wellington E. M. 2001. The taxonomy of Streptomyces and related genera. Int. J. Syst. Evol. Microbiol. 51:797–814 [DOI] [PubMed] [Google Scholar]
  • 2. Besemer J., Lomsadze A., Borodovsky M. 2001. GeneMarkS: a self-training method for prediction of gene starts in microbial genomes. Implications for finding sequence motifs in regulatory regions. Nucleic Acids Res. 29:2607–2618 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Blättel V., et al. 2009. A lytic enzyme cocktail from Streptomyces sp. B578 for the control of lactic and acetic acid bacteria in wine. Appl. Microbiol. Biotechnol. 83:839–848 [DOI] [PubMed] [Google Scholar]
  • 4. Ceylan O., Okmen G., Ugur A. 2008. Isolation of soil Streptomyces as source antibiotics active against antibiotic-resistant bacteria. Eurasia J. BioSci. 2:73–82 [Google Scholar]
  • 5. Chor B., Horn D., Goldman N., Levy Y., Massingham T. 2009. Genomic DNA k-mer spectra: models and modalities. Genome Biol. 10:R108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Gueguen Y., et al. 2006. PenBase, the shrimp antimicrobial peptide penaeidin database: sequence-based classification and recommended nomenclature. Dev. Comp. Immunol. 30:283–288 [DOI] [PubMed] [Google Scholar]
  • 7. Ladjama A., Taibi Z., Meddour A. 2007. Production of pectinolytic enzymes using Streptomyces strains isolated from palm grove soil in Biskra area(Algeria). Afr. Crop Sci. Conf. Proc. 8:1155–1158 [Google Scholar]
  • 8. Lagesen K., et al. 2007. RNAmmer: consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Res. 35:3100–3108 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Marçais G., Kingsford C. 2011. A fast, lock-free approach for efficient parallel counting of occurrences of k-mers. Bioinformatics 27:764–770 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Moran M. A., Rutherford L. T., Hodson R. E. 1995. Evidence for indigenous Streptomyces populations in a marine environment determined with a 16S rRNA probe. Appl. Environ. Microbiol. 61:3695–3700 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Nett M., Ikeda H., Moore B. S. 2009. Genomic basis for natural product biosynthetic diversity in the actinomycetes. Nat. Prod. Rep. 26:1362–1384 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Ohnishi Y., et al. 2008. Genome sequence of the streptomycin-producing microorganism Streptomyces griseus IFO 13350. J. Bacteriol. 190:4050–4060 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Pathom-Aree W., et al. 2006. Diversity of actinomycetes isolated from Challenger Deep sediment (10,898 m) from the Mariana Trench. Extremophiles 10:181–189 [DOI] [PubMed] [Google Scholar]
  • 14. Schattner P., Brooks A. N., Lowe T. M. 2005. The tRNAscan-SE, snoscan and snoGPS web servers for the detection of tRNAs and snoRNAs. Nucleic Acids Res. 33:W686–689 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Thomas S., Karnik S., Barai R. S., Jayaraman V. K., Idicula-Thomas S. 2010. CAMP: a useful resource for research on antimicrobial peptides. Nucleic Acids Res. 38:D774–780 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Wang C. K., Kaas Q., Chiche L., Craik D. J. 2008. CyBase: a database of cyclic protein sequences and structures, with applications in protein discovery and engineering. Nucleic Acids Res. 36:D206–210 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Wang G., Li X., Wang Z. 2009. APD2: the updated antimicrobial peptide database and its application in peptide design. Nucleic Acids Res. 37:D933–937 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Zerbino D. R., Birney E. 2008. Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Res. 18:821–829 [DOI] [PMC free article] [PubMed] [Google Scholar]

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