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. 2014 May 8;2(3):e00370-14. doi: 10.1128/genomeA.00370-14

Draft Genome Sequence of Mycobacterium vulneris DSM 45247T

Olivier Croce 1, Catherine Robert 1, Didier Raoult 1, Michel Drancourt 1,
PMCID: PMC4014686  PMID: 24812218

Abstract

We report the draft genome sequence of Mycobacterium vulneris DSM 45247T strain, an emerging, opportunistic pathogen of the Mycobacterium avium complex. The genome described here is composed of 6,981,439 bp (with a G+C content of 67.14%) and has 6,653 protein-coding genes and 84 predicted RNA genes.

GENOME ANNOUNCEMENT

Mycobacterium vulneris is a nontuberculous mycobacterium recently individualized among the Mycobacterium avium complex (1). The name was given after the initial isolation of the organism from a dog-bite wound discharge; a second isolate was made from a diseased lymph node in a 2-year-old child (1, 2). However, no further isolates have been obtained, so the clinical spectrum of this pathogen as well as its reservoir and sources are not yet known. M. vulneris is a mycobacterium previously referred to as M. avium sequevar Q (1, 2). M. vulneris was shown to be more closely related to Mycobacterium colombiense, another member of the M. avium complex (1, 3). Its precise relationships with several species recently described in the M. avium complex remain unknown (4).

In order to further decrypt the phylogenetic relationships of M. vulneris within the M. avium complex, we sequenced the whole genome of the M. vulneris DSM 45247T strain.

Genomic DNA was isolated from an M. vulneris DSM 45247T strain grown on MGIT Middlebrook broth (Becton Dickinson, Sparks, MD) at 37° C. Genomic DNA of M. vulneris was sequenced on MiSeq Technology (Illumina, Inc., San Diego, CA) by using paired-end and mate-pair applications in parallel, in a 2- × 250-bp run for each bar-coded library. On each flow cell, The index representation for M. vulneris was determined to be 5.46% and 7.71%, respectively, on each flow cell. The total 1,697,812 reads were filtered according to the read qualities.

The whole set of reads was trimmed using Trimmomatic (5), and then assembled with the assembler software Spades v 3.0 (6, 7). Contigs obtained were combined together by SSPACE v 2.0 (8) and Opera software v 1.4 (9) and helped by GapFiller v 1.10 (10) to reduce the set. For some manual refinements we used the CLC Genomics v 6 software (CLC bio, Aarhus, Denmark) and homemade tools. The completed draft genome sequence of M. vulneris consists of four contigs without gaps, containing 6,981,439 bp and 67.14% G+C content.

Noncoding genes and miscellaneous features were predicted using RNAmmer (11), ARAGORN (12), Rfam (13), and PFAM (14). Open reading frames (ORFs) were predicted using Prodigal (15), and functional annotation was achieved using BLASTP against the GenBank database (16) and the Clusters of Orthologous Groups (COGs) database (17, 18). The genome was shown to encode at least 84 predicted RNAs, including 7 rRNAs, 58 tRNAs, 1 transfer-messenger RNA (tmRNA), and 18 miscellaneous RNAs. A total of 6,653 genes were also identified, representing a coding capacity of 6,470,571 bp and a 92.6% coding percentage. Whereas 6,608 genes matched a least one sequence in the COGs database when BLASTP default parameters were used, 881 (13.24%) genes encoded putative proteins and 1,051 (15.8%) genes were assigned as hypothetical proteins.

Nucleotide sequence accession numbers.

The Mycobacterium vulneris strain DSM 45247T genome sequence has been deposited at EMBL under the accession numbers CCBG010000001 through CCBG010000004.

ACKNOWLEDGMENT

This study was financially supported by URMITE, IHU Méditerranée Infection, Marseille, France.

Footnotes

Citation Croce O, Robert C, Raoult D, Drancourt M. 2014. Draft genome sequence of Mycobacterium vulneris DSM 45247T. Genome Announc. 2(3):e00370-14. doi:10.1128/genomeA.00370-14.

REFERENCES

  • 1. Van Ingen J, Boeree MJ, Kösters K, Wieland A, Tortoli E, Dekhuijzen PN, van Soolingen D. 2009. Proposal to elevate Mycobacterium avium complex ITS sequevar MAC-Q to Mycobacterium vulneris sp. nov. Int. J. Syst. Evol. Microbiol. 59:2277–2782. 10.1099/ijs.0.008854-0 [DOI] [PubMed] [Google Scholar]
  • 2. Mijs W, de Haas P, Rossau R, van der Laan T, Rigouts L, Portaels F, van Soolingen D. 2002. Molecular evidence to support a proposal to reserve the designation Mycobacterium avium subsp. avium for bird-type isolates and “M. avium subsp. hominis suis” for the human/porcine type of M. avium. Int. J. Syst. Evol. Microbiol. 52(Pt 5):1505–1518. 10.1099/ijs.0.02037-0 [DOI] [PubMed] [Google Scholar]
  • 3. Murcia MI, Tortoli E, Menendez MC, Palenque E, Garcia MJ. 2006. Mycobacterium colombiense sp. nov., a novel member of the Mycobacterium avium complex and description of MAC-X as a new ITS genetic variant. Int. J. Syst. Evol. Microbiol. 56(Pt 9):2049–2054. 10.1099/ijs.0.64190-0 [DOI] [PubMed] [Google Scholar]
  • 4. Ben Salah I, Cayrou C, Raoult D, Drancourt M. 2009. Mycobacterium marseillense sp. nov., Mycobacterium timonense sp. nov. and Mycobacterium bouchedurhonense sp. nov., members of the Mycobacterium avium complex. Int. J. Syst. Evol. Microbiol. 59(Pt 11):2803–2808. 10.1099/ijs.0.010637-0 [DOI] [PubMed] [Google Scholar]
  • 5. Lohse M, Bolger AM, Nagel A, Fernie AR, Lunn JE, Stitt M, Usadel B. 2012. RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics. Nucleic Acids Res. 40:W622–W627. 10.1093/nar/gks540 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Nurk S, Bankevich A, Antipov D, Gurevich AA, Korobeynikov A, Lapidus A, Prjibelski AD, Pyshkin A, Sirotkin A, Sirotkin Y, Stepanauskas R, Clingenpeel SR, Woyke T, McLean JS, Lasken R, Tesler G, Alekseyev MA, Pevzner PA. 2013. Assembling single-cell genomes and mini-metagenomes from chimeric MDA products. J. Comput. Biol. 20:714–737. 10.1089/cmb.2013.0084 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, Lesin VM, Nikolenko SI, Pham S, Prjibelski AD, Pyshkin AV, Sirotkin AV, Vyahhi N, Tesler G, Alekseyev MA, Pevzner PA. 2012. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J. Comput. Biol. 19:455–477. 10.1089/cmb.2012.0021 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Boetzer M, Henkel CV, Jansen HJ, Butler D, Pirovano W. 2011. Scaffolding preassembled contigs using SSPACE. Bioinformatics 27:578–579. 10.1093/bioinformatics/btq683 [DOI] [PubMed] [Google Scholar]
  • 9. Gao S, Sung WK, Nagarajan N. 2011. Opera: reconstructing optimal genomic scaffolds with high-throughput paired-end sequences. J. Comput. Biol. 18:1681–1691. 10.1089/cmb.2011.0170 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Boetzer M, Pirovano W. 2012. Toward almost closed genomes with GapFiller. Genome Biol. 13:R56. 10.1186/gb-2012-13-6-r56 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Lagesen K, Hallin P, Rødland EA, Staerfeldt HH, Rognes T, Ussery DW. 2007. RNAmmer: consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Res. 35:3100–3108. 10.1093/nar/gkm160 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Laslett D, Canback B. 2004. ARAGORN, a program to detect tRNA genes and tmRNA genes in nucleotide sequences. Nucleic Acids Res. 32:11–16. 10.1093/nar/gkh152 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Griffiths-Jones S, Bateman A, Marshall M, Khanna A, Eddy SR. 2003. Rfam: an RNA family database. Nucleic Acids Res. 31:439–441. 10.1093/nar/gkg006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Punta M, Coggill PC, Eberhardt RY, Mistry J, Tate J, Boursnell C, Pang N, Forslund K, Ceric G, Clements J, Heger A, Holm L, Sonnhammer EL, Eddy SR, Bateman A, Finn RD. 2012. The Pfam protein families database. Nucleic Acids Res. 40:D290–D301. 10.1093/nar/gkr1065 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Hyatt D, Chen GL, Locascio PF, Land ML, Larimer FW, Hauser LJ. 2010. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics 11:119. 10.1186/1471-2105-11-119 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Benson DA, Karsch-Mizrachi I, Clark K, Lipman DJ, Ostell J, Sayers EW. 2012. GenBank. Nucleic Acids Res. 40:D48–D53. 10.1093/nar/gkr1202 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Tatusov RL, Galperin MY, Natale DA, Koonin EV. 2000. The COG database: a tool for genomoe-scale analysis of protein functions and evolution. Nucleic Acids Res. 28:33–36. 10.1093/nar/28.1.33 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Tatusov RL, Koonin EV, Lipman DJ. 1997. A genomic perspective on protein families. Science 278:631–637. 10.1126/science.278.5338.631 [DOI] [PubMed] [Google Scholar]

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