A novel anaerobic chemoorganotrophic, facultatively alkaliphilic bacterium (strain M17 DMBT) 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 DMBT was observed at NaCl concentrations of 1–12 % (w/v) with optimum growth at 1.5–2.0 %. Strain M17 MBTutilized 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 DMBT was 39.1 mol%. The closest phylogenetic relative of strain M17 DMBT was Alkalibacter saccharofermentans with 97.8 % 16S rRNA gene sequence similarity. The OrthoANI value between M17 DMBT and A. saccharofermentans was 70.4 %. Based on the phenotypic, genotypic and phylogenetic characteristics of the isolate, strain M17 DMBT is considered to represent a novel species of the genus Alkalibacter for which the name Alkalibacter mobilis sp. nov. is proposed. The type strain of Alkalibacter mobilis is M17 DMBT (=KCTC 15920T=VKM B-3408T).
PreissL, HicksDB, SuzukiS, MeierT, KrulwichTA. Alkaliphilic bacteria with impact on industrial applications, concepts of early life forms, and bioenergetics of ATP synthesis. Front Bioeng Biotechnol2015; 3:75 [View Article] [PubMed]
GarnovaES, ZhilinaTN, TourovaTP, KostrikinaNA, ZavarzinGA. Anaerobic, alkaliphilic, saccharolytic bacterium Alkalibacter saccharofermentans gen. nov., sp. nov. from a soda lake in the Transbaikal region of Russia. Extremophiles2004; 8:309–316 [View Article] [PubMed]
YoonS-H, HaS-M, LimJ, KwonS, ChunJ. A large-scale evaluation of algorithms to calculate average nucleotide identity. Antonie van Leeuwenhoek2017; 110:1281–1286 [View Article] [PubMed]
GuindonS, DufayardJ-F, LefortV, AnisimovaM, HordijkW et al. New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0. Syst Biol2010; 59:307–321 [View Article] [PubMed]
HordijkW, GascuelO. Improving the efficiency of SPR moves in phylogenetic tree search methods based on maximum likelihood. Bioinformatics2005; 21:4338–4347 [View Article] [PubMed]
RonquistF, TeslenkoM, van der MarkP, AyresDL, DarlingA et al. MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Syst Biol2012; 61:539–542 [View Article] [PubMed]
BrettinT, DavisJJ, DiszT, EdwardsRA, GerdesS et al. RASTtk: a modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes. Sci Rep2015; 5:8365 [View Article] [PubMed]
OverbeekR, OlsonR, PuschGD, OlsenGJ, DavisJJ et al. The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST). Nucleic Acids Res2014; 42:D206–14 [View Article] [PubMed]
SchilhabelA, StudenikS, VödischM, KreherS, SchlottB et al. The ether-cleaving methyltransferase system of the strict anaerobe Acetobacterium dehalogenans: analysis and expression of the encoding genes. J Bacteriol2009; 191:588–599 [View Article] [PubMed]