1887

Abstract

A novel anaerobic chemoorganotrophic, facultatively alkaliphilic bacterium (strain M17 DMB) was isolated from a coastal lake (Golubitsckoe, Taman Peninsula, Russia). Cells were motile rods, 1.6–2.1 µm long and 0.45 µm in diameter. The temperature range for growth was 14–42 °C, with an optimum at 30 °C. The pH range for growth was pH 5.5–10.0, with an optimum at pH 8.0–8.5. Growth of strain M17 DMB was observed at NaCl concentrations of 1–12 % (w/v) with optimum growth at 1.5–2.0 %. Strain M17 MButilized glucose, fructose, sucrose, ribose, mannose, raffinose, arabinose, dextrin, yeast extract, peptone, carbon monoxide, vanillic acid and 3,4-dimethoxybenzoic acid. The end products from glucose fermentation were acetate and ethanol. The DNA G+C content of strain M17 DMB was 39.1 mol%. The closest phylogenetic relative of strain M17 DMB was with 97.8 % 16S rRNA gene sequence similarity. The OrthoANI value between M17 DMB and was 70.4 %. Based on the phenotypic, genotypic and phylogenetic characteristics of the isolate, strain M17 DMB is considered to represent a novel species of the genus for which the name sp. nov. is proposed. The type strain of is M17 DMB (=KCTC 15920=VKM B-3408).

Funding
This study was supported by the:
  • Russian Science Foundation (Award 20-79-10388)
    • Principle Award Recipient: A.A. Novikov
  • Ministry of Science and Higher Education of the Russian Federation
    • Principle Award Recipient: NotApplicable
Loading

Article metrics loading...

/content/journal/ijsem/10.1099/ijsem.0.005174
2021-12-16
2022-01-17
Loading full text...

Full text loading...

References

  1. Preiss L, Hicks DB, Suzuki S, Meier T, Krulwich TA. Alkaliphilic bacteria with impact on industrial applications, concepts of early life forms, and bioenergetics of ATP synthesis. Front Bioeng Biotechnol 2015; 3:75 [View Article] [PubMed]
    [Google Scholar]
  2. Garnova ES, Zhilina TN, Tourova TP, Kostrikina NA, Zavarzin GA. Anaerobic, alkaliphilic, saccharolytic bacterium Alkalibacter saccharofermentans gen. nov., sp. nov. from a soda lake in the Transbaikal region of Russia. Extremophiles 2004; 8:309–316 [View Article] [PubMed]
    [Google Scholar]
  3. Slobodkin AI, Reysenbach A-L, Slobodkina GB, Baslerov RV, Kostrikina NA et al. Thermosulfurimonas dismutans gen. nov., sp. nov., an extremely thermophilic sulfur-disproportionating bacterium from a deep-sea hydrothermal vent. Int J Syst Evol Microbiol 2012; 62:2565–2571 [View Article] [PubMed]
    [Google Scholar]
  4. Wolin EA, Wolin MJ, Wolfe RS. Formation of methane by bacterial extracts. J Biol Chem 1963; 238:2882–2886 [View Article] [PubMed]
    [Google Scholar]
  5. Slobodkina GB, Baslerov RV, Novikov AA, Viryasov MB, Bonch-Osmolovskaya EA et al. Inmirania thermothiophila gen. nov., sp. nov., a thermophilic, facultatively autotrophic, sulfur-oxidizing gammaproteobacterium isolated from a shallow-sea hydrothermal vent. Int J Syst Evol Microbiol 2016; 66:701–706 [View Article] [PubMed]
    [Google Scholar]
  6. Benson DA, Boguski MS, Lipman DJ, Ostell J, Ouellette BFF et al. GenBank. Nucleic Acids Research 1999; 27:12–17 [View Article]
    [Google Scholar]
  7. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic Local Alignment Search Tool. J Mol Biol 1990; 215:403–410 [View Article] [PubMed]
    [Google Scholar]
  8. Yoon S-H, Ha S-M, Lim J, Kwon S, Chun J. A large-scale evaluation of algorithms to calculate average nucleotide identity. Antonie van Leeuwenhoek 2017; 110:1281–1286 [View Article] [PubMed]
    [Google Scholar]
  9. Nakamura T, Yamada KD, Tomii K, Katoh K. Parallelization of MAFFT for large-scale multiple sequence alignments. Bioinformatics 2018; 34:2490–2492 [View Article] [PubMed]
    [Google Scholar]
  10. Guindon S, Dufayard J-F, Lefort V, Anisimova M, Hordijk W et al. New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0. Syst Biol 2010; 59:307–321 [View Article] [PubMed]
    [Google Scholar]
  11. Lefort V, Longueville JE, Gascuel O. SMS: Smart Model Selection in PhyML. Mol Biol Evol 2017; 34:2422–2424 [View Article] [PubMed]
    [Google Scholar]
  12. Anisimova M, Gil M, Dufayard JF, Dessimoz C, Gascuel O. Survey of branch support methods demonstrates accuracy, power, and robustness of fast likelihood-based approximation schemes. Syst Biol 2011; 60:685–699 [View Article] [PubMed]
    [Google Scholar]
  13. Hordijk W, Gascuel O. Improving the efficiency of SPR moves in phylogenetic tree search methods based on maximum likelihood. Bioinformatics 2005; 21:4338–4347 [View Article] [PubMed]
    [Google Scholar]
  14. Vos P, Garrity G, Jones D, Krieg NR, Ludwig W et al. Bergey’s Manual of Systematic Bacteriology: Volume 3: The Firmicutes Springer Science & Business Media; 2011
    [Google Scholar]
  15. Jain C, Rodriguez-R LM, Phillippy AM, Konstantinidis KT, Aluru S. High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries. Nat Commun 2018; 9:5114 [View Article] [PubMed]
    [Google Scholar]
  16. Ronquist F, Teslenko M, van der Mark P, Ayres DL, Darling A et al. MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Syst Biol 2012; 61:539–542 [View Article] [PubMed]
    [Google Scholar]
  17. Brettin T, Davis JJ, Disz T, Edwards RA, Gerdes S et al. RASTtk: a modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes. Sci Rep 2015; 5:8365 [View Article] [PubMed]
    [Google Scholar]
  18. Overbeek R, Olson R, Pusch GD, Olsen GJ, Davis JJ et al. The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST). Nucleic Acids Res 2014; 42:D206–14 [View Article] [PubMed]
    [Google Scholar]
  19. Schilhabel A, Studenik S, Vödisch M, Kreher S, Schlott B et al. The ether-cleaving methyltransferase system of the strict anaerobe Acetobacterium dehalogenans: analysis and expression of the encoding genes. J Bacteriol 2009; 191:588–599 [View Article] [PubMed]
    [Google Scholar]
  20. Gram HC. Über die isolierte färbung der schizomyceten in schnitt- und trockenpräparaten. Fortschr Med 1884; 2:185–189
    [Google Scholar]
  21. Härtig C. Rapid identification of fatty acid methyl esters using a multidimensional gas chromatography–mass spectrometry database. J Chromatog A 2008; 1177:159–169 [View Article]
    [Google Scholar]
  22. Le SQ, Gascuel O. An improved general amino acid replacement matrix. Mol Biol Evol 2008; 25:1307–1320 [View Article] [PubMed]
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journal/ijsem/10.1099/ijsem.0.005174
Loading
/content/journal/ijsem/10.1099/ijsem.0.005174
Loading

Data & Media loading...

Supplements

Supplementary material 1

PDF

Most cited this month Most Cited RSS feed

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