1887

Abstract

A bacterial strain, designated 25B10_4, was isolated from surface seawater of the Bering Sea and characterized using a polyphasic taxonomic approach. Cells of strain 25B10_4 were Gram-stain-negative, motile and short-rod-shaped. Growth was observed at 10–43 °C (optimum 28 °C), at pH 6–9 (optimum pH 7) and with 0–12 % NaCl (optimum 3–4 %, w/v). Phylogenetic analyses based on 16S rRNA gene sequences showed that strain 25B10_4 formed an independent branch within the genus Thioclava , sharing high similarities with four related type strains, Thioclava atlantica 13D2W-2 (98.9 %), Thioclava pacifica TL 2 (98.5 %), Thioclava dalianensis DLFJ1-1 (98.4 %) and Thioclava indica DT23-4 (96.9 %), and low similarities (less than 96.5 %) with other type strains within the family Rhodobacteraceae . The major fatty acid was identified as summed feature 8 (C18 : 1ω6c and/or C18 : 1ω7c). The quinone was Q-10. The polar lipids comprised phosphatidylethanolamine, phosphatidylglycerol, glycolipid and five unidentified phospholipids. The DNA G+C content was 63.8 mol%. The digital DNA–DNA hybridization and average nucleotide identity values between strain 25B10_4 and the four above-mentioned type strains were, respectively, 20.5–25.7 % and 77.8–82.4 %. The phenotypic, phylogenetic and chemotaxonomic analyses clearly indicated that strain 25B10_4 represents a novel species within the genus Thioclava , for which the name Thioclava nitratireducens sp. nov. is proposed. The type strain is 25B10_4 (=MCCC 1A07302=LMG 29614).

Loading

Article metrics loading...

/content/journal/ijsem/10.1099/ijsem.0.001844
2017-06-09
2019-10-23
Loading full text...

Full text loading...

/deliver/fulltext/ijsem/67/7/2109.html?itemId=/content/journal/ijsem/10.1099/ijsem.0.001844&mimeType=html&fmt=ahah

References

  1. Sorokin DY, Tourova TP, Spiridonova EM, Rainey FA, Muyzer G. Thioclava pacifica gen. nov., sp. nov., a novel facultatively autotrophic, marine, sulfur-oxidizing bacterium from a near-shore sulfidic hydrothermal area. Int J Syst Evol Microbiol 2005; 55: 1069– 1075 [CrossRef] [PubMed]
    [Google Scholar]
  2. Zhang R, Lai Q, Wang W, Li S, Shao Z. Thioclava dalianensis sp. nov., isolated from surface seawater. Int J Syst Evol Microbiol 2013; 63: 2981– 2985 [CrossRef] [PubMed]
    [Google Scholar]
  3. Lai Q, Li S, Xu H, Jiang L, Zhang R et al. Thioclava atlantica sp. nov., isolated from deep sea sediment of the Atlantic ocean. Antonie Van Leeuwenhoek 2014; 106: 919– 925 [CrossRef] [PubMed]
    [Google Scholar]
  4. Liu Y, Lai Q, du J, Xu H, Jiang L et al. Thioclava indica sp. nov., isolated from surface seawater of the indian ocean. Antonie Van Leeuwenhoek 2015; 107: 297– 304 [CrossRef] [PubMed]
    [Google Scholar]
  5. Wang W, Zhang R, Zhong R, Shan D, Shao Z. Indigenous oil-degrading bacteria in crude oil-contaminated seawater of the yellow sea, China. Appl Microbiol Biotechnol 2014; 98: 7253– 7269 [CrossRef] [PubMed]
    [Google Scholar]
  6. Rowe AR, Chellamuthu P, Lam B, Okamoto A, Nealson KH. Marine sediments microbes capable of electrode oxidation as a surrogate for lithotrophic insoluble substrate metabolism. Front Microbiol 2014; 5: 784 [CrossRef] [PubMed]
    [Google Scholar]
  7. Collee JG, Miles R, Watt B. Tests for identification of bacteria. Mackie and McCartney Practical Medical Microbiology 1996; 14: 131– 149
    [Google Scholar]
  8. Kim OS, Cho YJ, Lee K, Yoon SH, Kim M et al. Introducing EzTaxon-e: a prokaryotic 16S rRNA gene sequence database with phylotypes that represent uncultured species. Int J Syst Evol Microbiol 2012; 62: 716– 721 [CrossRef] [PubMed]
    [Google Scholar]
  9. Tamura K, Peterson D, Peterson N, Stecher G, Nei M et al. MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol 2011; 28: 2731– 2739 [CrossRef] [PubMed]
    [Google Scholar]
  10. Saitou N, Nei M. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol 1987; 4: 406– 425 [PubMed]
    [Google Scholar]
  11. Rzhetsky A, Nei M. Statistical properties of the ordinary least-squares, generalized least-squares, and minimum-evolution methods of phylogenetic inference. J Mol Evol 1992; 35: 367– 375 [CrossRef] [PubMed]
    [Google Scholar]
  12. Felsenstein J. Evolutionary trees from DNA sequences: a maximum likelihood approach. J Mol Evol 1981; 17: 368– 376 [CrossRef] [PubMed]
    [Google Scholar]
  13. Felsenstein J. Confidence limits on phylogenies: an approach using the bootstrap. Evolution 1985; 39: 783– 791 [CrossRef]
    [Google Scholar]
  14. Sasser M. Identification of Bacteria by Gas Chromatography of Cellular Fatty Acids, MIDI Technical Note 101. Newark, DE: MIDI Inc; 1990
    [Google Scholar]
  15. Collins M. Isoprenoid quinone analyses in bacterial classification and identification. In Goodfellow M, Minnikin DE. (editors) Chemical Methods in Bacterial Systematics (Society for Applied Bacteriology Technical Series No. 20) London: Academic Press; 1985; pp. 267– 287
    [Google Scholar]
  16. Kates M. Techniques of Lipidology: Isolation, Analysis, and Identification of Lipidsvol. 107 Amsterdam: Holland Publishing Company; 1986; pp. 241– 246
    [Google Scholar]
  17. Wayne LG, Moore WEC, Stackebrandt E, Kandler O, Colwell RR et al. Report of the ad hoc committee on reconciliation of approaches to bacterial systematics. Int J Syst Evol Microbiol 1987; 37: 463– 464 [CrossRef]
    [Google Scholar]
  18. Meier-Kolthoff JP, Auch AF, Klenk HP, Göker M. Genome sequence-based species delimitation with confidence intervals and improved distance functions. BMC Bioinformatics 2013; 14: 60 [CrossRef] [PubMed]
    [Google Scholar]
  19. Richter M, Rosselló-Móra R. Shifting the genomic gold standard for the prokaryotic species definition. Proc Natl Acad Sci USA 2009; 106: 19126– 19131 [CrossRef] [PubMed]
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journal/ijsem/10.1099/ijsem.0.001844
Loading
/content/journal/ijsem/10.1099/ijsem.0.001844
Loading

Data & Media loading...

Supplements

Supplementary File 1

PDF

Most Cited This Month

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error