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Abstract

A novel Gram-stain-negative, motile and thermo-halophilic rod-shaped bacterium SMD15-11 was isolated from Seokmodo hot spring in Incheon, Republic of Korea. The strain grew at concentrations of 0.5–7% (w/v) NaCl (optimum at 3%), at pH 5.0–9.0 (optimum at 7.0) and in a temperature range of 30–60 °C (optimum at 50 °C). Strain SMD15-11 shared the highest 16S rRNA gene sequence percentage with 96CJ10356 (92.5%). Both the phylogenetic and phylogenomic analyses showed that strain SMD15-11 clustered with members, demonstrating its close relatedness to the type species of the family. The genome-relatedness indices between strain SMD15-11 and other type species of the family were in the ranges of 67.2–69.1% for average nucleotide identity, 59.3–62.8% for average amino acid identity and 15.9–24.8% for digital DNA–DNA hybridization, which were significantly below the cut-off values for the genus delineation. The genome comprised 3,444,746 bp with a G+C content of 60.1 mol%. The polar lipids contained phosphatidylethanolamine, phosphatidylglycerol, diphosphatidylglycerol, four unidentified phospholipids, two unidentified aminophospholipids and two unidentified lipids. The predominant fatty acids are C , C, C and summed feature 3, comprising C C . The polyphasic taxonomic properties indicate that the strain represents a novel genus and species in the family for which the name gen. nov., sp. nov. is proposed. The type strain is SMD15-11 (=KCTC 8289=NBRC 116488).

Funding
This study was supported by the:
  • National Institute of Biological Resources (Award NIBR202402105)
    • Principal Award Recipient: Sang-JaeLee
  • Ministry of Health and Welfare (Award RS-2023-KH141233)
    • Principal Award Recipient: Sang-JaeLee
  • Ministry of Oceans and Fisheries (Award KIMST-20210646)
    • Principal Award Recipient: Sang-JaeLee
  • Ministry of Trade, Industry and Energy (Award 20015807)
    • Principal Award Recipient: Sang-JaeLee
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2025-07-11
2026-04-22

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References

  1. Garrity GM, Bell JA, Lilburn T. Oceanospirillales ord. nov. In InBergey’s Manual® of Systematic Bacteriology 2005 Boston, MA: Springer; pp 270–323 [View Article]
    [Google Scholar]
  2. Garrity GM, Bell JA, Lilburn T. Family III. Hahellaceae fam. nov. In Brenner DJ, Krieg NR, Staley JT, Garrity GM. eds Bergey’s Manual of Systematic Bacteriology, 2nd edn. vol 2 New York: Springer; 2005 p 299
    [Google Scholar]
  3. Parte AC, Sardà Carbasse J, Meier-Kolthoff JP, Reimer LC, Göker M. List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ. Int J Syst Evol Microbiol 2020; 70:5607–5612 [View Article] [PubMed]
    [Google Scholar]
  4. Han Y, Zhao R, Yu T, Li Z, Zhang XH. Allohahella marinimesophila gen. nov., sp. nov., isolated from seawater and reclassification of Hahella antarctica as Allohahella antarctica comb. nov. Int J Syst Evol Microbiol 2016; 66:3207–3213 [View Article] [PubMed]
    [Google Scholar]
  5. Lee HK, Chun J, Moon EY, Ko SH, Lee DS et al. Hahella chejuensis gen. nov., sp. nov., an extracellular-polysaccharide-producing marine bacterium. Int J Syst Evol Microbiol 2001; 51:661–666 [View Article] [PubMed]
    [Google Scholar]
  6. Sorokin DY, Tourova TP, Galinski EA, Belloch C, Tindall BJ. Extremely halophilic denitrifying bacteria from hypersaline inland lakes, Halovibrio denitrificans sp. nov. and Halospina denitrificans gen. nov., sp. nov., and evidence that the genus name Halovibrio Fendrich 1989 with the type species Halovibrio variabilis should be associated with DSM 3050. Int J Syst Evol Microbiol 2006; 56:379–388 [View Article] [PubMed]
    [Google Scholar]
  7. Goldberg SR, Haltli BA, Correa H, Kerr RG. Description of Sansalvadorimonas verongulae gen. nov., sp. nov., a gammaproteobacterium isolated from the marine sponge Verongula gigantea. Int J Syst Evol Microbiol 2018; 68:2006–2014 [View Article] [PubMed]
    [Google Scholar]
  8. Kim KH, Jeong YJ, Jeong CH, Keisuke N. Hydrogeochemical, stable and noble gas isotopic studies of hot spring waters and cold groundwaters in the seokmodo hot spring area of the Ganghwa Province, South Korea. Econ Environ Geol 2008; 41:15–32
    [Google Scholar]
  9. Lee SG, Kim TK, Lee TJ. Strontium isotope geochemistry and its geochemical implication from hot spring waters in South Korea. J Volcanol Geotherm Res 2011; 208:12–22 [View Article]
    [Google Scholar]
  10. Yoon S-H, Ha S-M, 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]
  11. Nei M, Kumar S, Takahashi K. The optimization principle in phylogenetic analysis tends to give incorrect topologies when the number of nucleotides or amino acids used is small. Proc Natl Acad Sci USA 1998; 95:12390–12397 [View Article] [PubMed]
    [Google Scholar]
  12. Felsenstein J. Evolutionary trees from DNA sequences: a maximum likelihood approach. J Mol Evol 1981; 17:368–376 [View Article] [PubMed]
    [Google Scholar]
  13. 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]
  14. Tamura K, Stecher G, Kumar S. MEGA11: molecular evolutionary genetics analysis version 11. Mol Biol Evol 2021; 38:3022–3027 [View Article] [PubMed]
    [Google Scholar]
  15. De Coster W, D’Hert S, Schultz DT, Cruts M, Van Broeckhoven C. NanoPack: visualizing and processing long-read sequencing data. Bioinformatics 2018; 34:2666–2669 [View Article] [PubMed]
    [Google Scholar]
  16. Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 2014; 30:2114–2120 [View Article] [PubMed]
    [Google Scholar]
  17. Kolmogorov M, Yuan J, Lin Y, Pevzner PA. Assembly of long, error-prone reads using repeat graphs. Nat Biotechnol 2019; 37:540–546 [View Article] [PubMed]
    [Google Scholar]
  18. Aziz RK, Bartels D, Best AA, DeJongh M, Disz T et al. The RAST Server: rapid annotations using subsystems technology. BMC Genomics 2008; 9:75 [View Article] [PubMed]
    [Google Scholar]
  19. 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]
  20. 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]
  21. Haft DH, DiCuccio M, Badretdin A, Brover V, Chetvernin V et al. RefSeq: an update on prokaryotic genome annotation and curation. Nucleic Acids Res 2018; 46:D851–D860 [View Article] [PubMed]
    [Google Scholar]
  22. Li W, O’Neill KR, Haft DH, DiCuccio M, Chetvernin V et al. RefSeq: expanding the prokaryotic genome annotation pipeline reach with protein family model curation. Nucleic Acids Res 2021; 49:D1020–D1028 [View Article] [PubMed]
    [Google Scholar]
  23. Tatusova T, DiCuccio M, Badretdin A, Chetvernin V, Nawrocki EP et al. NCBI prokaryotic genome annotation pipeline. Nucleic Acids Res 2016; 44:6614–6624 [View Article] [PubMed]
    [Google Scholar]
  24. Yoon SH, Ha SM, Lim JM, Kwon SJ, 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]
  25. Kim D, Park S, Chun J. Introducing EzAAI: a pipeline for high throughput calculations of prokaryotic average amino acid identity. J Microbiol 2021; 59:476–480 [View Article] [PubMed]
    [Google Scholar]
  26. Goris J, Konstantinidis KT, Klappenbach JA, Coenye T, Vandamme P et al. DNA-DNA hybridization values and their relationship to whole-genome sequence similarities. Int J Syst Evol Microbiol 2007; 57:81–91 [View Article] [PubMed]
    [Google Scholar]
  27. Meier-Kolthoff JP, Carbasse JS, Peinado-Olarte RL, Göker M. TYGS and LPSN: a database tandem for fast and reliable genome-based classification and nomenclature of prokaryotes. Nucleic Acids Res 2022; 50:D801–D807 [View Article] [PubMed]
    [Google Scholar]
  28. Lagkouvardos I, Joseph D, Kapfhammer M, Giritli S, Horn M et al. IMNGS: a comprehensive open resource of processed 16S rRNA microbial profiles for ecology and diversity studies. Sci Rep 2016; 6:33721 [View Article] [PubMed]
    [Google Scholar]
  29. Chaumeil P-A, Mussig AJ, Hugenholtz P, Parks DH. GTDB-Tk v2: memory friendly classification with the genome taxonomy database. Bioinformatics 2022; 38:5315–5316 [View Article] [PubMed]
    [Google Scholar]
  30. Nguyen L-T, Schmidt HA, von Haeseler A, Minh BQ. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol 2015; 32:268–274 [View Article] [PubMed]
    [Google Scholar]
  31. Jain A, Jain R, Jain S, Jain A, Jain R et al. Motility testing–hanging drop method and stab. BTiBMMB 2020121–122 [View Article]
    [Google Scholar]
  32. ZoBell CE. Studies on marine bacteria. i. the cultural requirements of heterotrophic aerobes. J Mar Res 1941; 4:42–75
    [Google Scholar]
  33. Minnikin DE, O’Donnell AG, Goodfellow M, Alderson G, Athalye M et al. An integrated procedure for the extraction of bacterial isoprenoid quinones and polar lipids. J Microbiol Methods 1984; 2:233–241 [View Article]
    [Google Scholar]
  34. Sasser M. Identification of bacteria by gas chromatography of cellular fatty acids. In MIDI Technical Note vol 101 Newark: DE: MIDI; 1990
    [Google Scholar]
  35. Yarza P, Yilmaz P, Pruesse E, Glöckner FO, Ludwig W et al. Uniting the classification of cultured and uncultured bacteria and archaea using 16S rRNA gene sequences. Nat Rev Microbiol 2014; 12:635–645 [View Article] [PubMed]
    [Google Scholar]
  36. Riesco R, Trujillo ME. Update on the proposed minimal standards for the use of genome data for the taxonomy of prokaryotes. Int J Syst Evol Microbiol 2024; 74:006300 [View Article] [PubMed]
    [Google Scholar]
  37. Konstantinidis KT, Tiedje JM. Towards a genome-based taxonomy for prokaryotes. J Bacteriol 2005; 187:6258–6264 [View Article] [PubMed]
    [Google Scholar]
  38. Stull F, Betton J-M, Bardwell JCA. Periplasmic chaperones and prolyl isomerases. EcoSal Plus 2018; 8:10–128 [View Article] [PubMed]
    [Google Scholar]
  39. Baik KS, Seong CN, Kim EM, Yi H, Bae KS et al. Hahella ganghwensis sp. nov., isolated from tidal flat sediment. Int J Syst Evol Microbiol 2005; 55:681–684 [View Article] [PubMed]
    [Google Scholar]
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