Skip to content
1887

Abstract

Four strains, designated dk4302, dk4209, xlx-73, and xlx-183, were isolated from Tibetan gazelle and red swamp crawfish collected from the Qinghai–Tibet Plateau and Jiangxi Province, PR China. The strains were Gram-stain-negative, aerobic, rod-shaped, non-motile, mucoid, and yellow-pigmented. Strains dk4302 and dk4209 grew at 10–40 °C and pH 6.0–9.0, while strains xlx-73/xlx-183 grew at 15–40 °C and pH 6.0–10.0. Both strains exhibited growth in the presence of up to 3.5 % (w/v) NaCl. Phylogenetic and phylogenomic analyses based on the 16S rRNA gene sequences and 652 core genes, respectively, revealed that the four strains formed two distinct clusters in the genus . Strains dk4302 and dk4209 formed a distinct clade with XH4 and D1. The most closely related strains to xlx-73 and xlx-183 were M-SX103. The DNA G+C contents were 38.9 and 39.8 mol%. The digital DNA–DNA hybridization (dDDH) values between dk4302 and D1 and XH4 were 19.2 and 21.8 % (19.0 and 21.6 % for strain dk4209), respectively. The corresponding average nucleotide identity (ANI) values were 74.3 and 78.1 % (74.4 and 78.3 % for strain dk4209), respectively. The dDDH values between xlx-73 (xlx-183) and M-SX103 was 24.6 % (25.7 %). The corresponding ANI value was 85.7 % (85.5 % for strain xlx-183). The major fatty acid and respiratory quinone of dk4302 and xlx-73 were iso-C and MK7. The polar lipids identified in all of the novel strains were phosphatidylethanolamine, phosphoglycolipids, aminophospholipids, and phospholipids. A total of 61/190 (32.1 %) and 82/190 (43.2 %) carbon substrates were metabolized by strains dk4302 and xlx-73 in the Biolog MicroPlates, respectively. Based on the results from this polyphasic taxonomic study, two novel species in the genus are proposed, namely sp. nov. (type strain dk4302=CGMCC 1.16795=JCM 33600) and sp. nov. (type strain xlx-73=GDMCC 1.1712=JCM 33886).

Funding
This study was supported by the:
  • Research Units of Discovery of Unknown Bacteria and Function (Award 2018RU010)
    • Principal Award Recipient: JianguoXu
Loading

Article metrics loading...

/content/journal/ijsem/10.1099/ijsem.0.006488
2024-08-14
2025-11-18

Metrics

Loading full text...

Full text loading...

References

  1. Yabuuchi E, Kaneko T, Yano I, Moss CW, Miyoshi N et al. Sphingobacterium multivorum comb nov., Sphingobacterium mizutae sp. nov., and Flavobacterium indologenes sp. no., glucose nonfermenting Gram-negative rods in CDC group IIK-2 and group IIB. Int J Syst Bacteriol 1983; 33:580–598 [View Article]
    [Google Scholar]
  2. Wauters G, Janssens M, De Baere T, Vaneechoutte M, Deschaght P. Isolates belonging to CDC group II-i belong predominantly to Sphingobacterium mizutaii Yabuuchi et al. 1983: emended descriptions of S. mizutaii and of the genus Sphingobacterium. Int J Syst Evol Microbiol 2012; 62:2598–2601 [View Article] [PubMed]
    [Google Scholar]
  3. Besaury L, Floret J, Rémond C. Sphingobacterium prati sp. nov., isolated from agricultural soil and involved in lignocellulose deconstruction. Int J Syst Evol Microbiol 2021; 71:004963 [View Article] [PubMed]
    [Google Scholar]
  4. 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]
  5. Liu B, Yang X, Sheng M, Yang Z, Qiu J et al. Sphingobacterium olei sp. nov., isolated from oil-contaminated soil. Int J Syst Evol Microbiol 2020; 70:1931–1939 [View Article] [PubMed]
    [Google Scholar]
  6. Gupta A, Logan J, Elhag N, Almond M. Sphingobacterium spiritivorum infection in a patient with end stage renal disease on haemodialysis. Ann Clin Microbiol Antimicrob 2016; 15:25 [View Article] [PubMed]
    [Google Scholar]
  7. Wang Q, Fang Z-Q, Zhang C-L, Shen J-Q, Lai J-D et al. Sphingobacterium bovistauri sp. nov., isolated from the faeces of Bos taurus. Curr Microbiol 2022; 79:92 [View Article] [PubMed]
    [Google Scholar]
  8. Dai Y, Si M, Chen Y, Zhang N, Zhou M et al. Combination of biological pretreatment with NaOH/Urea pretreatment at cold temperature to enhance enzymatic hydrolysis of rice straw. Bioresour Technol 2015; 198:725–731 [View Article] [PubMed]
    [Google Scholar]
  9. Ravichandran R, Hemaasri S, Cameotra SS, Jayaprakash NS. Purification and characterization of an extracellular uricase from a new isolate of Sphingobacterium thalpophilum (VITPCB5). Protein Expr Purif 2015; 114:136–142 [View Article] [PubMed]
    [Google Scholar]
  10. Song J, Hao G, Liu L, Zhang H, Zhao D et al. Biodegradation and metabolic pathway of sulfamethoxazole by Sphingobacterium mizutaii. Sci Rep 2021; 11:23130 [View Article]
    [Google Scholar]
  11. Blahová J, Králiková K, Krcméry V Sr, Kubonová K. Hydrolysis of imipenem, meropenem, ceftazidime, and cefepime by multiresistant nosocomial strains of Sphingobacterium multivorum. Eur J Clin Microbiol Infect Dis 1997; 16:178–180 [View Article] [PubMed]
    [Google Scholar]
  12. Tamboli DP, Kurade MB, Waghmode TR, Joshi SM, Govindwar SP. Exploring the ability of Sphingobacterium sp. ATM to degrade textile dye direct blue GLL, mixture of dyes and textile effluent and production of polyhydroxyhexadecanoic acid using waste biomass generated after dye degradation. J Hazard Mater 2010; 182:169–176 [View Article] [PubMed]
    [Google Scholar]
  13. Wang W, Zhao Z, Yan H, Zhang H, Li QX et al. Carboxylesterases from bacterial enrichment culture degrade strobilurin fungicides. Sci Total Environ 2022; 814:152751 [View Article]
    [Google Scholar]
  14. Nzila A, Thukair A, Sankara S, Abdur Razzak S. Characterization of aerobic oil and grease-degrading bacteria in wastewater. Environ Technol 2017; 38:661–670 [View Article] [PubMed]
    [Google Scholar]
  15. Cortes-Tolalpa L, Salles JF, van Elsas JD. Bacterial synergism in lignocellulose biomass degradation - complementary roles of degraders as influenced by complexity of the carbon source. Front Microbiol 2017; 8:1628 [View Article] [PubMed]
    [Google Scholar]
  16. Himmel ME, Ding S-Y, Johnson DK, Adney WS, Nimlos MR et al. Biomass recalcitrance: engineering plants and enzymes for biofuels production. Science 2007; 315:804–807 [View Article] [PubMed]
    [Google Scholar]
  17. Koeck DE, Pechtl A, Zverlov VV, Schwarz WH. Genomics of cellulolytic bacteria. Curr Opin Biotechnol 2014; 29:171–183 [View Article] [PubMed]
    [Google Scholar]
  18. Wang X, Yang J, Lu S, Lai X-H, Jin D et al. Nocardioides houyundeii sp. nov., isolated from Tibetan antelope faeces. Int J Syst Evol Microbiol 2018; 68:3874–3880 [View Article]
    [Google Scholar]
  19. Ludwig W. Nucleic acid techniques in bacterial systematics and identification. Int J Food Microbiol 2007; 120:225–236 [View Article] [PubMed]
    [Google Scholar]
  20. 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]
  21. Guindon S, Gascuel O. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst Biol 2003; 52:696–704 [View Article] [PubMed]
    [Google Scholar]
  22. Kolaczkowski B, Thornton JW. Performance of maximum parsimony and likelihood phylogenetics when evolution is heterogeneous. Nature 2004; 431:980–984 [View Article] [PubMed]
    [Google Scholar]
  23. McCarthy A. Third generation DNA sequencing: pacific biosciences’ single molecule real time technology. Chem Biol 2010; 17:675–676 [View Article] [PubMed]
    [Google Scholar]
  24. Felsenstein J. Confidence limits on phylogenies: an approach using the bootstrap. Evolution 1985; 39:783–791 [View Article] [PubMed]
    [Google Scholar]
  25. Berlin K, Koren S, Chin C-S, Drake JP, Landolin JM et al. Assembling large genomes with single-molecule sequencing and locality-sensitive hashing. Nat Biotechnol 2015; 33:623–630 [View Article] [PubMed]
    [Google Scholar]
  26. Luo R, Liu B, Xie Y, Li Z, Huang W et al. SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler. Gigascience 2012; 1:18 [View Article] [PubMed]
    [Google Scholar]
  27. Page AJ, Cummins CA, Hunt M, Wong VK, Reuter S et al. Roary: rapid large-scale prokaryote pan genome analysis. Bioinformatics 2015; 31:3691–3693 [View Article] [PubMed]
    [Google Scholar]
  28. 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]
  29. 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]
  30. Palmer M, Steenkamp ET, Blom J, Hedlund BP, Venter SN. All ANIs are not created equal: implications for prokaryotic species boundaries and integration of ANIs into polyphasic taxonomy. Int J Syst Evol Microbiol 2020; 70:2937–2948 [View Article] [PubMed]
    [Google Scholar]
  31. 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]
  32. Alfonso-Prieto M, Biarnés X, Vidossich P, Rovira C. The molecular mechanism of the catalase reaction. J Am Chem Soc 2009; 131:11751–11761 [View Article] [PubMed]
    [Google Scholar]
  33. Goossens H, Vlaes L, Galand I, Van den Borre C, Butzler JP. Semisolid blood-free selective-motility medium for the isolation of campylobacters from stool specimens. J Clin Microbiol 1989; 27:1077–1080 [View Article] [PubMed]
    [Google Scholar]
  34. Zhang G, Yang J, Lai X-H, Jin D, Pu J et al. Neisseria weixii sp. nov., isolated from rectal contents of Tibetan Plateau pika (Ochotona curzoniae). Int J Syst Evol Microbiol 2019; 69:2305–2311 [View Article] [PubMed]
    [Google Scholar]
  35. Athalye M, Noble WC, Minnikin DE. Analysis of cellular fatty acids by gas chromatography as a tool in the identification of medically important coryneform bacteria. J Appl Bacteriol 1985; 58:507–512 [View Article] [PubMed]
    [Google Scholar]
  36. Collins MD, Jones D. Distribution of isoprenoid quinone structural types in bacteria and their taxonomic implication. Microbiol Rev 1981; 45:316–354 [View Article] [PubMed]
    [Google Scholar]
  37. Zheng J, Ge Q, Yan Y, Zhang X, Huang L et al. dbCAN3: automated carbohydrate-active enzyme and substrate annotation. Nucleic Acids Res 2023; 51:W115–W121 [View Article] [PubMed]
    [Google Scholar]
  38. Minnikin DE, Goodfellow AGODM, Alderson G, Athalye M, Schaal A 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]
  39. Holmes B, Costas M, Ganner M, On SL, Stevens M. Evaluation of Biolog system for identification of some Gram-negative bacteria of clinical importance. J Clin Microbiol 1994; 32:1970–1975 [View Article] [PubMed]
    [Google Scholar]
  40. Cortes-Tolalpa L, Wang Y, Salles JF, van Elsas JD. Comparative genome analysis of the lignocellulose degrading bacteria Citrobacter freundii so4 and Sphingobacterium multivorum w15. Front Microbiol 2020; 11:248 [View Article] [PubMed]
    [Google Scholar]
/content/journal/ijsem/10.1099/ijsem.0.006488
Loading
/content/journal/ijsem/10.1099/ijsem.0.006488
Loading

Data & Media loading...

Supplements

Supplementary material 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