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Abstract

A marine bacterium capable of degrading alginate, designated as strain TSD2052, was isolated from a tidal flat sediment sample collected in Taean County, Republic of Korea. Phylogenetic analysis based on 16S rRNA gene sequences revealed that strain TSD2052 belonged to the genus showing 96.2–97.8% sequence similarity. The whole genome of strain TSD2052 was 4.62 Mb, with a DNA G+C content of 44.3 mol%. The average nucleotide identity, average amino acid identity and digital DNA–DNA hybridization values between strain TSD2052 and all genome-sequenced species of the genus were below 76.7%, 81.7% and 20.6%, respectively, indicating values lower than the standard cut-off for species delineation. Growth was observed at 10–35 °C (optimum 25 °C), pH 6–10 (optimum pH 8) and 1–5% (w/v) NaCl (optimum 3%). The major fatty acids (>10%) were C, C, summed feature 3 (C 6 and/or Cω) and summed feature 8 (C 6 and/or Cω). The respiratory quinone was ubiquinone-8. The major polar lipids were phosphatidylethanolamine, phosphatidylglycerol, an unidentified aminolipid and four unidentified lipids. Based on the results of phenotypic characterization, phylogenetic analysis and genome-based comparisons, strain TSD2052 represents a novel species in the genus , for which we propose the name sp. nov. (=KCTC 92288=JCM 35392).

Funding
This study was supported by the:
  • MABIK in-house program (Award 2025M00600)
    • Principal Award Recipient: NotApplicable
  • This is an open-access article distributed under the terms of the Creative Commons Attribution NonCommercial License.
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2025-12-03
2025-12-15

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References

  1. Wong TY, Preston LA, Schiller NL. Alginate lyase: review of major sources and enzyme characteristics, structure-function analysis, biological roles, and applications. Annu Rev Microbiol 2000; 54:289–340 [View Article] [PubMed]
    [Google Scholar]
  2. Barzkar N, Sheng R, Sohail M, Jahromi ST, Babich O et al. Alginate lyases from marine bacteria: an enzyme ocean for sustainable future. Molecules 2022; 27:3375 [View Article] [PubMed]
    [Google Scholar]
  3. Zhang L, Li X, Zhang X, Li Y, Wang L. Bacterial alginate metabolism: an important pathway for bioconversion of brown algae. Biotechnol Biofuels 2021; 14:158 [View Article] [PubMed]
    [Google Scholar]
  4. Martin M, Barbeyron T, Martin R, Portetelle D, Michel G et al. The cultivable surface microbiota of the brown alga Ascophyllum nodosum is enriched in macroalgal-polysaccharide-degrading bacteria. Front Microbiol 2015; 6:1487 [View Article] [PubMed]
    [Google Scholar]
  5. Kurahashi M, Yokota A. Agarivorans albus gen. nov., sp. nov., a gamma-proteobacterium isolated from marine animals. Int J Syst Evol Microbiol 2004; 54:693–697 [View Article] [PubMed]
    [Google Scholar]
  6. Du ZJ, Lv GQ, Rooney AP, Miao TT, Xu QQ et al. Agarivorans gilvus sp. nov. isolated from seaweed. Int J Syst Evol Microbiol 2011; 61:493–496 [View Article] [PubMed]
    [Google Scholar]
  7. Park S, Park JM, Jung YT, Yoon JH. Agarivorans litoreus sp. nov., a novel gammaproteobacterium isolated from seawater and emended description of the genus Agarivorans. Antonie van Leeuwenhoek 2014; 106:1041–1047 [View Article] [PubMed]
    [Google Scholar]
  8. Kim SG, Pheng S, Lee YJ, Eom MK, Shin DH. Agarivorans aestuarii sp. nov., an agar-degrading bacterium isolated from a tidal flat. Int J Syst Evol Microbiol 2016; 66:3119–3124 [View Article]
    [Google Scholar]
  9. Giovannoni SJ. The polymerase chain reaction. In Stackebrandt E, Goodfellow M. eds Nucleic Acid Techniques in Bacterial Systematics New York: John Wiley and Sons; 1991 pp 177–203
    [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. Kumar S, Stecher G, Li M, Knyaz C, Tamura K. MEGA X: molecular evolutionary genetics analysis across computing platforms. Mol Biol Evol 2018; 35:1547–1549 [View Article] [PubMed]
    [Google Scholar]
  12. Thompson JD, Gibson TJ, Higgins DG. Multiple sequence alignment using ClustalW and ClustalX. Curr Protoc Bioinformatics 2002; Chapter 2:Unit [View Article] [PubMed]
    [Google Scholar]
  13. Felsenstein J. Evolutionary trees from DNA sequences: a maximum likelihood approach. J Mol Evol 1981; 17:368–376 [View Article] [PubMed]
    [Google Scholar]
  14. 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]
  15. Fitch WM. Toward defining the course of evolution: minimum change for a specific tree topology. Syst Zool 1971; 20:406 [View Article]
    [Google Scholar]
  16. Felsenstein J. Confidence limits on phylogenies: an approach using the bootstrap. Evolution 1985; 39:783–791 [View Article] [PubMed]
    [Google Scholar]
  17. Kim M, Oh HS, Park SC, Chun J. Towards a taxonomic coherence between average nucleotide identity and 16S rRNA gene sequence similarity for species demarcation of prokaryotes. Int J Syst Evol Microbiol 2014; 64:346–351 [View Article] [PubMed]
    [Google Scholar]
  18. Walker BJ, Abeel T, Shea T, Priest M, Abouelliel A et al. Pilon: an integrated tool for comprehensive microbial variant detection and genome assembly improvement. PLoS One 2014; 9:e112963 [View Article] [PubMed]
    [Google Scholar]
  19. 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]
  20. 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] [PubMed]
    [Google Scholar]
  21. 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]
  22. 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]
  23. Auch AF, von Jan M, Klenk H-P, Göker M. Digital DNA-DNA hybridization for microbial species delineation by means of genome-to-genome sequence comparison. Stand Genomic Sci 2010; 2:117–134 [View Article]
    [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. Rodriguez-R LM, Konstantinidis KT. Bypassing cultivation to identify bacterial species. Microbe 2014; 9:111–118 [View Article]
    [Google Scholar]
  26. Arkin AP, Cottingham RW, Henry CS, Harris NL, Stevens RL et al. KBase: the United States Department of Energy systems biology knowledgebase. Nat Biotechnol 2018; 36:566–569 [View Article] [PubMed]
    [Google Scholar]
  27. Thompson CC, Chimetto L, Edwards RA, Swings J, Stackebrandt E et al. Microbial genomic taxonomy. BMC Genomics 2013; 14:913 [View Article] [PubMed]
    [Google Scholar]
  28. Luo C, Rodriguez-R LM, Konstantinidis KT. MyTaxa: an advanced taxonomic classifier for genomic and metagenomic sequences. Nucleic Acids Res 2014; 42:e73 [View Article] [PubMed]
    [Google Scholar]
  29. Moore WEC, Stackebrandt E, Kandler O, Colwell RR, Krichevsky MI et al. Report of the ad hoc committee on reconciliation of approaches to bacterial systematics. Int J Syst Bacteriol 1987; 37:463–464 [View Article]
    [Google Scholar]
  30. Alanjary M, Steinke K, Ziemert N. AutoMLST: an automated web server for generating multi-locus species trees highlighting natural product potential. Nucleic Acids Res 2019; 47:W276–W282 [View Article] [PubMed]
    [Google Scholar]
  31. Goldberg SR, Correa H, Haltli BA, Kerr RG. Fulvivirga aurantia sp. nov. and Xanthovirga aplysinae gen. nov., sp. nov., marine bacteria isolated from the sponge Aplysina fistularis, and emended description of the genus Fulvivirga. Int J Syst Evol Microbiol 2020; 70:2766–2781 [View Article] [PubMed]
    [Google Scholar]
  32. Bae SS, Jung Y-H, Kwon YM, Chung D, Choi G et al. Fulvivirga lutea sp. nov., a marine bacterium isolated from seawater. Int J Syst Evol Microbiol 2022; 72:10 [View Article]
    [Google Scholar]
  33. 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]
  34. Kalyaanamoorthy S, Minh BQ, Wong TKF, von Haeseler A, Jermiin LS. ModelFinder: fast model selection for accurate phylogenetic estimates. Nat Methods 2017; 14:587–589 [View Article] [PubMed]
    [Google Scholar]
  35. Hoang DT, Chernomor O, von Haeseler A, Minh BQ, Vinh LS. UFBoot2: improving the ultrafast bootstrap approximation. Mol Biol Evol 2018; 35:518–522 [View Article] [PubMed]
    [Google Scholar]
  36. Bowman JP. Description of Cellulophaga algicola sp. nov., isolated from the surfaces of Antarctic algae, and reclassification of Cytophaga uliginosa (ZoBell and Upham 1944) Reichenbach 1989 as Cellulophaga uliginosa comb. nov. Int J Syst Evol Microbiol 2000; 50:1861–1868 [View Article]
    [Google Scholar]
  37. Reichenbach H, Kohl W, Achenbach H, Bottger-Vetter A. Flexirubin-type pigments in Flavobacterium. Arch Microbiol 1980; 126:291–293 [View Article]
    [Google Scholar]
  38. Bernardet JF, Nakagawa Y, Holmes B. Subcommittee on the taxonomy of Flavobacterium and Cytophaga-like bacteria of the International Committee on Systematics of Prokaryotes: proposed minimal standards for describing new taxa of the family Flavobacteriaceae and emended description of the family. Int J Syst Evol Microbiol 2002; 52:1049–1070 [View Article]
    [Google Scholar]
  39. Smibert RM, Krieg NR. Phenotypic characterization. In Gerhardt P. eds Methods for General and Molecular Bacteriology Washington, DC: American Society for Microbiology; 1994 pp 607–654
    [Google Scholar]
  40. Wang M, Chen L, Zhang Z, Wang X, Qin S et al. Screening of alginate lyase-excreting microorganisms from the surface of brown algae. AMB Expr 2017; 7: [View Article]
    [Google Scholar]
  41. Bruns A, Rohde M, Berthe-Corti L. Muricauda ruestringensis gen. nov., sp. nov., a facultatively anaerobic, appendaged bacterium from German North Sea intertidal sediment. Int J Syst Evol Microbiol 2001; 51:1997–2006 [View Article] [PubMed]
    [Google Scholar]
  42. Sasser M. Identification of bacteria by gas chromatography of cellular fatty acids. USFCC Newsl 1990; 20:1–6
    [Google Scholar]
  43. 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]
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