1887

Abstract

Two yellow-coloured strains, F-29 and F-340, were isolated from fish farms in Antalya and Mugla in 2015 and 2017 during surveillance studies. The 16S rRNA gene sequence analysis showed that both strains belong to the genus . A polyphasic approach involving a comprehensive genome analysis was employed to ascertain the taxonomic provenance of the strains. The overall genome-relatedness indices of digital DNA–DNA hybridization (dDDH) and average nucleotide identity (ANI) between the strains and the other members of the genus were found to be well below the established thresholds of 70 and 95 %, respectively. The whole-genome-based phylogenetic analysis revealed that strain F-29 is closely related to (dDDH 39.3 % and ANI 89.4 %), while strain F-340 has a close relationship with the type strain of (dDDH 25.6 % and ANI 81.5 %). Both strains were psychrotolerant with an optimum growth temperature of 25 °C. The chemotaxonomic characteristics of the strains were typical of the genus . Both strains had phosphatidylethanolamine, aminolipids and unidentified lipids in their polar lipid profile and MK-6 as the isoprenoid quinone. The major fatty acids were iso-C and anteiso-C. The genome size of the strains was 3.5 Mb, while G+C contents were 35.3 mol% for strain F-29 and 33.4 mol% for strain F-340. Overall, the characterizations confirmed that both strains are representatives of two novel species within the genus , for which the names sp. nov. and sp. nov. are proposed, with F-29 (JCM 34193=KCTC 82253) and F-340 (JCM 34203=KCTC 82263) as the type strains, respectively.

Funding
This study was supported by the:
  • The Research Fund of Bursa Uludag University (Award TGA-2023-1219)
    • Principle Award Recipient: IzzetBurcin Saticioglu
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2024-05-08
2024-05-19
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References

  1. Bernardet J-F, Bowman JP. Flavobacterium. In Trujillo ME, Dedysh S, DeVos P, Hedlund B, K¨ampfer P et al. eds Bergey’s Manual of Systematics of Archaea and Bacteria John Wiley & Sons; 2015
    [Google Scholar]
  2. Saticioglu IB, Duman M, Wiklund T, Altun S. Serological and genetic characterization of Flavobacterium psychrophilum isolated from farmed salmonids in Turkey. J Fish Dis 2018; 41:1899–1908 [View Article] [PubMed]
    [Google Scholar]
  3. Saticioglu IB, Ay H, Altun S, Duman M, Sahin N. Flavobacterium turcicum sp. nov. and Flavobacterium kayseriense sp. nov. isolated from farmed rainbow trout in Turkey. Syst Appl Microbiol 2021; 44:126186 [View Article] [PubMed]
    [Google Scholar]
  4. Johansen R, Needham JR, Colquhoun DJ, Poppe TT, Smith AJ. Guidelines for health and welfare monitoring of fish used in research. Lab Anim 2006; 40:323–340 [View Article]
    [Google Scholar]
  5. Loch TP, Fujimoto M, Woodiga SA, Walker ED, Marsh TL et al. Diversity of fish-associated flavobacteria of Michigan. J Aquat Anim Health 2013; 25:149–164 [View Article] [PubMed]
    [Google Scholar]
  6. Meier-Kolthoff JP, Auch AF, Klenk H-P, Göker M. Genome sequence-based species delimitation with confidence intervals and improved distance functions. BMC Bioinformatics 2013; 14:60 [View Article] [PubMed]
    [Google Scholar]
  7. 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]
  8. Meier-Kolthoff JP, Klenk H-P, Göker M. Taxonomic use of DNA G+C content and DNA-DNA hybridization in the genomic age. Int J Syst Evol Microbiol 2014; 64:352–356 [View Article] [PubMed]
    [Google Scholar]
  9. Edgar RC. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res 2004; 32:1792–1797 [View Article] [PubMed]
    [Google Scholar]
  10. Stamatakis A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 2014; 30:1312–1313 [View Article] [PubMed]
    [Google Scholar]
  11. Goloboff PA, Farris JS, Nixon KC. TNT, a free program for phylogenetic analysis. Cladistics 2008; 24:774–786 [View Article]
    [Google Scholar]
  12. Alipour M, Bininda-Emonds ORP, Moret BME, Stamatakis A. Pattengale How many bootstrap replicates are necessary?. J Comput Biol 2010; 17:337–354 [View Article] [PubMed]
    [Google Scholar]
  13. Kim M, Oh H-S, Park S-C, 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]
  14. Wick RR, Judd LM, Gorrie CL, Holt KE. Unicycler: resolving bacterial genome assemblies from short and long sequencing reads. PLoS Comput Biol 2017; 13:e1005595 [View Article] [PubMed]
    [Google Scholar]
  15. 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]
  16. 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]
  17. 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]
  18. 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]
  19. 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]
    [Google Scholar]
  20. Grant JR, Enns E, Marinier E, Mandal A, Herman EK et al. Proksee: in-depth characterization and visualization of bacterial genomes. Nucleic Acids Res 2023; 51:W484–W492 [View Article]
    [Google Scholar]
  21. Hitch TCA, Riedel T, Oren A, Overmann J, Lawley TD et al. Automated analysis of genomic sequences facilitates high-throughput and comprehensive description of bacteria. ISME Commun 2021; 1:16 [View Article] [PubMed]
    [Google Scholar]
  22. Schwengers O, Jelonek L, Dieckmann M, Beyvers S, Blom J et al. Bakta: rapid & standardized annotation of bacterial genomes via alignment-free sequence identification. Bioinformatics 2021; 7000685 [View Article]
    [Google Scholar]
  23. Brown CL, Mullet J, Hindi F, Stoll JE, Gupta S et al. mobileOG-db: a manually curated database of protein families mediating the life cycle of bacterial mobile genetic elements. Appl Environ Microbiol 2022; 88:e0099122 [View Article] [PubMed]
    [Google Scholar]
  24. Vernikos GS, Parkhill J. Interpolated variable order motifs for identification of horizontally acquired DNA: revisiting the Salmonella pathogenicity islands. Bioinformatics 2006; 22:2196–2203 [View Article] [PubMed]
    [Google Scholar]
  25. Couvin D, Bernheim A, Toffano-Nioche C, Touchon M, Michalik J et al. CRISPRCasFinder, an update of CRISRFinder, includes a portable version, enhanced performance and integrates search for Cas proteins. Nucleic Acids Res 2018; 46:W246–W251 [View Article] [PubMed]
    [Google Scholar]
  26. Alcock BP, Huynh W, Chalil R, Smith KW, Raphenya AR et al. CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database. Nucleic Acids Res 2023; 51:D690–D699 [View Article] [PubMed]
    [Google Scholar]
  27. Moyne AL, Shelby R, Cleveland TE, Tuzun S. Bacillomycin D: an iturin with antifungal activity against Aspergillus flavus. J Appl Microbiol 2001; 90:622–629 [View Article] [PubMed]
    [Google Scholar]
  28. 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]
  29. 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]
  30. Bernardet J-F, 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]
  31. Saticioglu IB, Ay H, Altun S, Sahin N, Duman M. Flavobacterium bernardetii sp. nov., a possible emerging pathogen of farmed rainbow trout (Oncorhynchus mykiss) in cold water. Aquaculture 2021; 540:736717 [View Article]
    [Google Scholar]
  32. Sasser M. Bacterial Identification by Gas Chromatographic Analysis of Fatty Acids Methyl Esters (GC-FAME), 1502, MIDI Technical Note; 1990
  33. Lechevalier MP, Lechevalier H. Chemical composition as a criterion in the classification of aerobic actinomycetes. Int J Syst Bacteriol 1970; 20:435–443 [View Article]
    [Google Scholar]
  34. Staneck JL, Roberts GD. Simplified approach to identification of aerobic actinomycetes by thin-layer chromatography. Appl Microbiol 1974; 28:226–231 [View Article] [PubMed]
    [Google Scholar]
  35. Choi S, Shin S-K, Kim E, Yi H. Flavobacterium crassostreae sp. nov., isolated from Pacific oyster. Int J Syst Evol Microbiol 2017; 67:988–992 [View Article]
    [Google Scholar]
  36. Collins MD. Analysis of isoprenoid quinones. In Bergan T. ed Methods in Microbiology Academic Press; 1985 pp 329–366
    [Google Scholar]
  37. 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]
  38. Mühle E, Abry C, Leclerc P, Goly G-M, Criscuolo A et al. Flavobacterium bizetiae sp. nov., isolated from diseased freshwater fish in Canada at the end of the 1970s. Int J Syst Evol Microbiol 2021; 71: [View Article] [PubMed]
    [Google Scholar]
  39. Feng Q, Gao Y, Nogi Y, Tan X, Han L et al. Flavobacterium maotaiense sp. nov., isolated from freshwater. Int J Syst Evol Microbiol 2015; 65:171–176 [View Article] [PubMed]
    [Google Scholar]
  40. Irgang R, Poblete-Morales M, Avendaño-Herrera R. Flavobacterium pygoscelis sp. nov., isolated from a chinstrap penguin chick (Pygoscelis antarcticus). Int J Syst Evol Microbiol 2023; 73:005815 [View Article]
    [Google Scholar]
  41. Chen WM, Yang CC, Sheu C, Kwon SW, Sheu SY. Flavobacterium ichthyis sp. nov., isolated from a fish pond. Int J Syst Evol Microbiol 2020; 70:5075–5086 [View Article] [PubMed]
    [Google Scholar]
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