1887

Abstract

A Gram-negative, strictly anaerobic, non-spore forming, non-motile, non-pigmented bacterial strain, designated H184, was isolated from human faeces. 16S rRNA gene sequence analysis showed that strain H184 represents a member of the genus Butyricimonas . Strain H184 is related to but distinct from Butyricimonas virosa JCM 15149 and Butyricimonas paravirosa JCM 18677, with 16S rRNA gene sequence similarities of 96.32 and 96.24 %, respectively. Strain H184 shared 90.50 % hsp60 gene sequence similarity to B. virosa JCM 15149 and B. paravirosa JCM 18677. Growth occurs between 25 and 42 °C with an optimum at 37 °C. Bile and NaCl concentration range allowing growth are 0–3.75 % and 0–1.8 %, respectively. pH range for growth is 5.5–8. The strain produced propionate as the major end product from glucose. The major cellular fatty acids of strain H184 were iso-C15 : 0 (63.5 %) and iso-C17 : 0 3-OH (12.8%). The major menaquinone of the strain was MK-10 (86 %). DNA G+C content of the isolate H184 was 44.2 mol%. The genome-based comparison between strain H184 and B. virosa JCM 15149 by pairwise average nucleotide identity indicated a clear distinction with a score of 87.22. On the basis of these data, strain H184 represents a novel species of the genus Butyricimonas , for which the name Butyricimonas faecalis sp. nov. is proposed. The type strain of B. faecalis is H184 (DSM 106867, LMG 30602).

  • This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Loading

Article metrics loading...

/content/journal/ijsem/10.1099/ijsem.0.003249
2019-02-01
2024-04-20
Loading full text...

Full text loading...

/deliver/fulltext/ijsem/69/3/833.html?itemId=/content/journal/ijsem/10.1099/ijsem.0.003249&mimeType=html&fmt=ahah

References

  1. Suau A, Bonnet R, Sutren M, Godon JJ, Gibson GR et al. Direct analysis of genes encoding 16S rRNA from complex communities reveals many novel molecular species within the human gut. Appl Environ Microbiol 1999; 65:4799–4807[PubMed]
    [Google Scholar]
  2. Eckburg PB, Bik EM, Bernstein CN, Purdom E, Dethlefsen L et al. Diversity of the human intestinal microbial flora. Science 2005; 308:1635–1638 [View Article][PubMed]
    [Google Scholar]
  3. Browne HP, Forster SC, Anonye BO, Kumar N, Neville BA et al. Culturing of 'unculturable' human microbiota reveals novel taxa and extensive sporulation. Nature 2016; 533:543–546 [View Article][PubMed]
    [Google Scholar]
  4. Sakamoto M, Takagaki A, Matsumoto K, Kato Y, Goto K et al. Butyricimonas synergistica gen. nov., sp. nov. and Butyricimonas virosa sp. nov., butyric acid-producing bacteria in the family 'Porphyromonadaceae' isolated from rat faeces. Int J Syst Evol Microbiol 2009; 59:1748–1753 [View Article][PubMed]
    [Google Scholar]
  5. Duncan SH, Hold GL, Harmsen HJ, Stewart CS, Flint HJ et al. Growth requirements and fermentation products of Fusobacterium prausnitzii, and a proposal to reclassify it as Faecalibacterium prausnitzii gen. nov., comb. nov. Int J Syst Evol Microbiol 2002; 52:2141–2146 [View Article][PubMed]
    [Google Scholar]
  6. Dione N, Khelaifia S, La Scola B, Lagier JC, Raoult D. A quasi-universal medium to break the aerobic/anaerobic bacterial culture dichotomy in clinical microbiology. Clin Microbiol Infect 2016; 22:53–58 [View Article][PubMed]
    [Google Scholar]
  7. Sizova MV, Hohmann T, Hazen A, Paster BJ, Halem SR et al. New approaches for isolation of previously uncultivated oral bacteria. Appl Environ Microbiol 2012; 78:194–203 [View Article][PubMed]
    [Google Scholar]
  8. Turner S, Pryer KM, Miao VP, Palmer JD. Investigating deep phylogenetic relationships among cyanobacteria and plastids by small subunit rRNA sequence analysis. J Eukaryot Microbiol 1999; 46:327–338 [View Article][PubMed]
    [Google Scholar]
  9. Sakamoto M, Suzuki N, Benno Y. hsp60 and 16S rRNA gene sequence relationships among species of the genus Bacteroides with the finding that Bacteroides suis and Bacteroides tectus are heterotypic synonyms of Bacteroides pyogenes. Int J Syst Evol Microbiol 2010; 60:2984–2990 [View Article][PubMed]
    [Google Scholar]
  10. Sakamoto M, Ohkuma M. Usefulness of the hsp60 gene for the identification and classification of Gram-negative anaerobic rods. J Med Microbiol 2010; 59:1293–1302 [View Article][PubMed]
    [Google Scholar]
  11. Yoon SH, Ha SM, Kwon S, Lim J, Kim Y et al. Introducing EzBioCloud: a taxonomically united database of 16S rRNA gene sequences and whole-genome assemblies. Int J Syst Evol Microbiol 2017; 67:1613–1617 [View Article][PubMed]
    [Google Scholar]
  12. Edgar RC. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res 2004; 32:1792–1797 [View Article][PubMed]
    [Google Scholar]
  13. Tamura K, Nei M, Kumar S. Prospects for inferring very large phylogenies by using the neighbor-joining method. Proc Natl Acad Sci USA 2004; 101:11030–11035 [View Article][PubMed]
    [Google Scholar]
  14. Saitou N, Nei M. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol 1987; 4:406–425 [View Article][PubMed]
    [Google Scholar]
  15. Kumar S, Stecher G, Tamura K. MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol 2016; 33:1870–1874 [View Article][PubMed]
    [Google Scholar]
  16. Chin CS, Alexander DH, Marks P, Klammer AA, Drake J et al. Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data. Nat Methods 2013; 10:563–569 [View Article][PubMed]
    [Google Scholar]
  17. Lee I, Chalita M, Ha SM, Na SI, Yoon SH et al. ContEst16S: an algorithm that identifies contaminated prokaryotic genomes using 16S RNA gene sequences. Int J Syst Evol Microbiol 2017; 67:2053–2057 [View Article]
    [Google Scholar]
  18. Lee I, Ouk Kim Y, Park SC, Chun J. OrthoANI: an improved algorithm and software for calculating average nucleotide identity. Int J Syst Evol Microbiol 2016; 66:1100–1103 [View Article][PubMed]
    [Google Scholar]
  19. Tindall BJ. A comparative study of the lipid composition of Halobacterium saccharovorum from Various Sources. Syst Appl Microbiol 1990; 13:128–130 [View Article]
    [Google Scholar]
  20. Tindall BJ. Lipid composition of Halobacterium lacusprofundi. FEMS Microbiol Lett 1990; 66:199–202 [View Article]
    [Google Scholar]
  21. Miller LT. Single derivatization method for routine analysis of bacterial whole-cell fatty acid methyl esters, including hydroxy acids. J Clin Microbiol 1982; 16:584–586[PubMed]
    [Google Scholar]
  22. Kuykendall LD, Roy MA, O'Neill JJ, Devine TE. Fatty acids, antibiotic resistance, and deoxyribonucleic acid homology groups of bradyrhizobium japonicum. Int J Syst Bacteriol 1988; 38:358–361 [View Article]
    [Google Scholar]
  23. Sakamoto M, Tanaka Y, Benno Y, Ohkuma M. Butyricimonas faecihominis sp. nov. and Butyricimonas paravirosa sp. nov., isolated from human faeces, and emended description of the genus Butyricimonas. Int J Syst Evol Microbiol 2014; 64:2992–2997 [View Article][PubMed]
    [Google Scholar]
  24. Hahnke RL, Meier-Kolthoff JP, García-López M, Mukherjee S, Huntemann M et al. Genome-based taxonomic classification of bacteroidetes. Front Microbiol 2003; 2016:7
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journal/ijsem/10.1099/ijsem.0.003249
Loading
/content/journal/ijsem/10.1099/ijsem.0.003249
Loading

Data & Media loading...

Supplements

Supplementary File 1

PDF
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