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Abstract

is a genus of moderately halophilic bacteria within the class , commonly isolated from diverse saline environments. Traditional phenotypic methods have proven insufficient to resolve taxonomic boundaries among closely related species in this genus. With the advent of whole-genome sequencing, genome-based analyses have become essential for accurate species and subspecies delineation. This study used comprehensive phenotypic and genomic comparisons to investigate the taxonomic relationship between YIM 95161 and MK-B5. Phylogenomic analyses based on core gene alignments revealed that YIM 95161 and MK-B5 form a robust monophyletic clade, consistent with high average nucleotide identity (>96%) and digital DNA–DNA hybridization values (>70%), confirming their membership within the same species. However, notable and consistent differences in growth physiology, enzymatic activity, fatty acid composition and genomic G+C content (69.5 mol% vs. 63.4–63.6 mol%) support the recognition of two distinct subspecies. Carbohydrate-active enzyme (CAZyme) repertoires also revealed divergence in CAZyme profiles, aligning with ecological differentiation. Therefore, we propose that YIM 95161 be reclassified as subsp. subsp. nov., while MK-B5ᵀ be retained as subsp. subsp. nov. This refined classification highlights the value of integrated genomic and phenotypic approaches in resolving intraspecific structure and improving taxonomic resolution within halophilic bacterial genera.

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2025-11-27
2025-12-16

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References

  1. Antunes A, Eder W, Fareleira P, Santos H, Huber R. Salinisphaera shabanensis gen. nov., sp. nov., a novel, moderately halophilic bacterium from the brine-seawater interface of the Shaban Deep, Red Sea. Extremophiles 2003; 7:29–34 [View Article] [PubMed]
    [Google Scholar]
  2. Crespo-Medina M, Chatziefthimiou A, Cruz-Matos R, Perez-Rodriguez I, Barkay T et al. Salinisphaera hydrothermalis sp. nov., a mesophilic, halotolerant, facultatively autotrophic, thiosulfate-oxidizing gammaproteobacterium from deep-sea hydrothermal vents, and emended description of the genus Salinisphaera. Int J Syst Evol Microbiol 2009; 59:1497–1503 [View Article] [PubMed]
    [Google Scholar]
  3. Shimane Y, Tsuruwaka Y, Miyazaki M, Mori K, Minegishi H et al. Salinisphaera japonica sp. nov., a moderately halophilic bacterium isolated from the surface of a deep-sea fish, Malacocottus gibber, and emended description of the genus Salinisphaera. Int J Syst Evol Microbiol 2013; 63:2180–2185 [View Article]
    [Google Scholar]
  4. Park S-J, Cha I-T, Kim S-J, Shin K-S, Hong Y et al. Salinisphaera orenii sp. nov., isolated from a solar saltern. Int J Syst Evol Microbiol 2012; 62:1877–1883 [View Article] [PubMed]
    [Google Scholar]
  5. Zhang Y-J, Tang S-K, Shi R, Klenk H-P, Chen C et al. Salinisphaera halophila sp. nov., a moderately halophilic bacterium isolated from brine of a salt well. Int J Syst Evol Microbiol 2012; 62:2174–2179 [View Article]
    [Google Scholar]
  6. Bae GD, Hwang CY, Kim HM, Cho BC. Salinisphaera dokdonensis sp. nov., isolated from surface seawater. Int J Syst Evol Microbiol 2010; 60:680–685 [View Article]
    [Google Scholar]
  7. Tang L, Zhang Z, Xie R, Jiao N, Zhang Y. Salinisphaera aquimarina sp. nov., isolated from seawater. Int J Syst Evol Microbiol 2018; 68:1130–1134 [View Article] [PubMed]
    [Google Scholar]
  8. Wang L, Wang W, Lai Q, Shao Z. Gene diversity of CYP153A and AlkB alkane hydroxylases in oil‐degrading bacteria isolated from the Atlantic Ocean. Environ Microbiol 2010; 12:1230–1242 [View Article]
    [Google Scholar]
  9. Antunes A, Simões MF, Crespo-Medina M, Vetriani C, Shimane Y. Salinisphaera. In Bergey’s Manual of Systematics of Archaea and Bacteria pp 1–20 [View Article]
    [Google Scholar]
  10. 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]
    [Google Scholar]
  11. Meier-Kolthoff JP, Hahnke RL, Petersen J, Scheuner C, Michael V et al. Complete genome sequence of DSM 30083T, the type strain (U5/41T) of Escherichia coli, and a proposal for delineating subspecies in microbial taxonomy. Stand in Genomic Sci 2014; 9:1–19 [View Article]
    [Google Scholar]
  12. Quadri SR, Sathish M, Quach NT, Li W-J, Narsing Rao MP. Reclassification of Salinisphaera halophila Zhang et al. 2012 as a later heterotypic synonym of Salinisphaera orenii Park et al. 2012. Curr Microbiol 2025; 82: [View Article]
    [Google Scholar]
  13. Parks DH, Imelfort M, Skennerton CT, Hugenholtz P, Tyson GW. CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes. Genome Res 2015; 25:1043–1055 [View Article]
    [Google Scholar]
  14. 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]
  15. 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]
  16. Edgar RC. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Research 2004; 32:1792–1797 [View Article]
    [Google Scholar]
  17. Tamura K, Nei M. Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzees. Mol Biol Evol 1993; 10:512–526 [View Article] [PubMed]
    [Google Scholar]
  18. 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]
  19. Felsenstein J. Evolutionary trees from DNA sequences: a maximum likelihood approach. J Mol Evol 1981; 17:368–376 [View Article] [PubMed]
    [Google Scholar]
  20. Lee I, Ouk Kim Y, Park S-C, 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]
  21. 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]
  22. Goecks J, Nekrutenko A, Taylor J. Galaxy Team Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences. Genome Biol 2010; 11:R86 [View Article] [PubMed]
    [Google Scholar]
  23. Camacho C, Coulouris G, Avagyan V, Ma N, Papadopoulos J et al. BLAST+: architecture and applications. BMC Bioinformatics 2009; 10:421 [View Article] [PubMed]
    [Google Scholar]
  24. Kurtz S, Phillippy A, Delcher AL, Smoot M, Shumway M et al. Versatile and open software for comparing large genomes. Genome Biol 2004; 5:R12 [View Article] [PubMed]
    [Google Scholar]
  25. Richter M, Rosselló-Móra R, Oliver Glöckner F, Peplies J. JSpeciesWS: a web server for prokaryotic species circumscription based on pairwise genome comparison. Bioinformatics 2016; 32:929–931 [View Article] [PubMed]
    [Google Scholar]
  26. 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 [View Article] [PubMed]
    [Google Scholar]
  27. Meier-Kolthoff JP, Göker M. TYGS is an automated high-throughput platform for state-of-the-art genome-based taxonomy. Nat Commun 2019; 10:2182 [View Article] [PubMed]
    [Google Scholar]
  28. 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 Research 2022; 50:D801–D807 [View Article]
    [Google Scholar]
  29. Lefort V, Desper R, Gascuel O. FastME 2.0: a comprehensive, accurate, and fast distance-based phylogeny inference program: table 1. Mol Biol Evol 2015; 32:2798–2800 [View Article]
    [Google Scholar]
  30. Farris JS. Estimating phylogenetic trees from distance matrices. Am Nat 1972; 106:645–668 [View Article]
    [Google Scholar]
  31. Kreft Ł, Botzki A, Coppens F, Vandepoele K, Van Bel M. PhyD3: a phylogenetic tree viewer with extended phyloXML support for functional genomics data visualization. Bioinformatics 2017; 33:2946–2947 [View Article]
    [Google Scholar]
  32. Rodriguez-R LM, Konstantinidis KT. Bypassing cultivation to identify bacterial species. Microbe Magazine 2014; 9:111–118 [View Article]
    [Google Scholar]
  33. Qin Q-L, Xie B-B, Zhang X-Y, Chen X-L, Zhou B-C et al. A proposed genus boundary for the prokaryotes based on genomic insights. J Bacteriol 2014; 196:2210–2215 [View Article]
    [Google Scholar]
  34. Chaudhari NM, Gupta VK, Dutta C. BPGA- an ultra-fast pan-genome analysis pipeline. Sci Rep 2016; 6:24373 [View Article] [PubMed]
    [Google Scholar]
  35. Price MN, Dehal PS, Arkin AP. FastTree 2--approximately maximum-likelihood trees for large alignments. PLoS One 2010; 5:e9490 [View Article] [PubMed]
    [Google Scholar]
  36. Letunic I, Bork P. Interactive Tree Of Life (iTOL) v4: recent updates and new developments. Nucleic Acids Res 2019; 47:W256–W259 [View Article] [PubMed]
    [Google Scholar]
  37. Yin Y, Mao X, Yang J, Chen X, Mao F et al. dbCAN: a web resource for automated carbohydrate-active enzyme annotation. Nucleic Acids Res 2012; 40:W445–W451 [View Article]
    [Google Scholar]
  38. Wattam AR, Davis JJ, Assaf R, Boisvert S, Brettin T et al. Improvements to PATRIC, the all-bacterial bioinformatics database and analysis resource center. Nucleic Acids Res 2017; 45:D535–D542 [View Article] [PubMed]
    [Google Scholar]
  39. 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]
    [Google Scholar]
  40. Blin K, Shaw S, Augustijn HE, Reitz ZL, Biermann F et al. antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation. Nucleic Acids Res 2023; 51:W46–W50 [View Article] [PubMed]
    [Google Scholar]
  41. Caudill MT, Brayton KA. The use and limitations of the 16S rRNA sequence for species classification of anaplasma samples. Microorganisms 2009; 10:605 [View Article]
    [Google Scholar]
  42. Richter M, Rosselló-Móra R. Shifting the genomic gold standard for the prokaryotic species definition. Proc Natl Acad Sci USA 2009; 106:19126–19131 [View Article] [PubMed]
    [Google Scholar]
  43. Konstantinidis KT, Tiedje JM. Genomic insights that advance the species definition for prokaryotes. Proc Natl Acad Sci USA 2005; 102:2567–2572 [View Article]
    [Google Scholar]
  44. Rodriguez-R LM, Gunturu S, Harvey WT, Rosselló-Mora R, Tiedje JM et al. The Microbial Genomes Atlas (MiGA) webserver: taxonomic and gene diversity analysis of Archaea and Bacteria at the whole genome level. Nucleic Acids Research 2018; 46:W282–W288 [View Article]
    [Google Scholar]
  45. Tettelin H, Masignani V, Cieslewicz MJ, Donati C, Medini D et al. Genome analysis of multiple pathogenic isolates of Streptococcus agalactiae: implications for the microbial “pan-genome”. Proc Natl Acad Sci USA 2005; 102:13950–13955 [View Article] [PubMed]
    [Google Scholar]
  46. Medini D, Donati C, Tettelin H, Masignani V, Rappuoli R. The microbial pan-genome. Curr Opin Genet 2005; 15:589–594 [View Article]
    [Google Scholar]
  47. Dif G, Djemouai N, Bouras N, Zitouni A. In-depth genome-based analysis of Shigella spp. and Escherichia spp.: resolving ambiguities and unveiling phylogenetic relationships. Curr Microbiol 2025; 82:170 [View Article]
    [Google Scholar]
  48. Rouli L, Merhej V, Fournier PE, Raoult D. The bacterial pangenome as a new tool for analysing pathogenic bacteria. New Microbes New Infect 2015; 7:72–85 [View Article] [PubMed]
    [Google Scholar]
  49. Lombard V, Golaconda Ramulu H, Drula E, Coutinho PM, Henrissat B. The carbohydrate-active enzymes database (CAZy) in 2013. Nucleic Acids Res 2014; 42:D490–5 [View Article] [PubMed]
    [Google Scholar]
  50. Berlemont R, Martiny AC. Genomic potential for polysaccharide deconstruction in bacteria. Appl Environ Microbiol 2015; 81:1513–1519 [View Article]
    [Google Scholar]
  51. Dif G, Djemouai N, Bouras N, Meklat A, Zitouni A. Whole-genome-based reassessment of saccharothrix phylogeny, with the proposal of two new subspecies: Saccharothrix longispora subsp. Longispora subsp. nov. and Saccharothrix longispora subsp. Yanglingensis subsp. nov., comb. nov. Curr Microbiol 2025; 82:370 [View Article] [PubMed]
    [Google Scholar]
  52. Das VA, Gautam B, Yadav PK, Singh S. Identification of conserved pathways in bacillus strains known for plant growth-promoting behavior using a multifaceted computational approach. Agriculture 2024; 14:838 [View Article]
    [Google Scholar]
  53. Ventosa A, Nieto JJ, Oren A. Biology of moderately halophilic aerobic bacteria. Microbiol Mol Biol Rev 1998; 62:504–544 [View Article] [PubMed]
    [Google Scholar]
  54. Oren A. Life at high salt concentrations. In The Prokaryotes Berlin, Heidelberg: Springer; 2013 pp 421–440 [View Article]
    [Google Scholar]
  55. Siliakus MF, van der Oost J, Kengen SWM. Adaptations of archaeal and bacterial membranes to variations in temperature, pH and pressure. Extremophiles 2017; 21:651–670 [View Article] [PubMed]
    [Google Scholar]
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