1887

Abstract

Three strains, X102, S1101 and S6413, were isolated from sediment samples from different coasts of Weihai, PR China. All strains were Gram-stain-negative, rod-shaped and non-motile. The predominant fatty acids of all strains were iso-C and summed feature 3 (C 7/C 6) and the major polar lipids comprised phosphatidylethanolamine, phosphatidylglycerol and diphosphatidylglycerol. Strains X102 and S1101 shared 100 % 16S rRNA gene sequence similarity, and strains S1101/X102 and S6413 had 95.4 % similarity. The average nucleotide identity (ANI) and digital DNA–DNA hybridization (dDDH) values between strains S1101 and X102 were 99.9 and 99.2 %, respectively. Strain S1101 had ANI values of 69.1–72.9% and dDDH values of 17.9–20.5 % to members of the genus . Strain S6413 had ANI values of 69.1–77.5% and dDDH values of 17.6–21.5 % to members of the genus . The results of phylogenetic and comparative genomic analysis showed that the three strains belong to two novel species in the genus , and strains X102 and S1101 represented one novel species, and strain S6413 represented another novel species. The result of BOX-PCR and genomic analysis showed that X102 and S1101 were not the same strain. The phylogenetic analyses and genomic comparisons, combined with phylogenetic, phenotypic and chemotaxonomic features, strongly supported that the three strains should be classified as representing two novel species of the genus , for which the names sp. nov. and sp. nov. are proposed, respectively. The type strains of the two novel species are S1101 (=KCTC 92642=MCCC 1H01359) and S6413 (=KCTC 92641=MCCC 1H01362), respectively. In addition, all previously described isolates of were isolated from marine environments, but our study showed that is also distributed in non-/low-saline habitats (e.g. animal gut, soil and indoor surface), which broadened our perception of the environmental distribution of .

Funding
This study was supported by the:
  • Natural Science Foundation of Shandong Province, China (Award ZR2023QD187)
    • Principle Award Recipient: JingZhang
  • Postdoctoral Science Foundation of Jiangsu Province (Award 2022M721923)
    • Principle Award Recipient: JingZhang
  • National Natural Science Foundation of China (Award 41876166)
    • Principle Award Recipient: Zong-JunDu
  • Science & Technology Fundamental Resources Investigation Program (Award 2019FY100700)
    • Principle Award Recipient: Zong-JunDu
  • Science & Technology Fundamental Resources Investigation Program (Award 2022FY101100)
    • Principle Award Recipient: Zong-JunDu
Loading

Article metrics loading...

/content/journal/ijsem/10.1099/ijsem.0.006130
2023-11-02
2024-05-08
Loading full text...

Full text loading...

References

  1. Romanenko LA, Tanaka N, Frolova GM, Mikhailov VV. Marinicella litoralis gen. nov., sp. nov., a gammaproteobacterium isolated from coastal seawater. Int J Syst Evol Microbiol 2010; 60:1613–1619 [View Article] [PubMed]
    [Google Scholar]
  2. Wang X-Q, Li C-M, Dunlap CA, Rooney AP, Du Z-J. Marinicella sediminis sp. nov., isolated from marine sediment. Int J Syst Evol Microbiol 2018; 68:2335–2339 [View Article] [PubMed]
    [Google Scholar]
  3. Wang Y, Liu Y, Zhang Z, Zheng Y, Zhang XH. Marinicella pacifica sp. nov., isolated from seawater. Int J Syst Evol Microbiol 2016; 66:2313–2318 [View Article] [PubMed]
    [Google Scholar]
  4. Zhong Y-L, Sun X-K, Hui J-G, Teng H-L, Du Z-J. Marinicella rhabdoformis sp. nov., isolated from coastal sediment. Int J Syst Evol Microbiol 2020; 70:3528–3533 [View Article] [PubMed]
    [Google Scholar]
  5. 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] [PubMed]
    [Google Scholar]
  6. Dong XZ, Cai MY. Chapter 14. Determination of biochemical characteristics. In Manual for the Systematic Identification of General Bacteria Beijing: Science Press; 2001 pp 370–398
    [Google Scholar]
  7. 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]
  8. Komagata K, Suzuki K. Lipid and cell-wall analysis in bacterial systematics. Methods Microbiol 1987; 19:161–207
    [Google Scholar]
  9. Liu Q-Q, Wang Y, Li J, Du Z-J, Chen G-J. Saccharicrinis carchari sp. nov., isolated from a shark, and emended descriptions of the genus Saccharicrinis and Saccharicrinis fermentans. Int J Syst Evol Microbiol 2014; 64:2204–2209 [View Article] [PubMed]
    [Google Scholar]
  10. Lagesen K, Hallin P, Rødland EA, Staerfeldt H-H, Rognes T et al. RNAmmer: consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Res 2007; 35:3100–3108 [View Article] [PubMed]
    [Google Scholar]
  11. 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]
  12. Felsenstein J. Confidence limits on phylogenies: an approach using the bootstrap. Evolution 1985; 39:783–791 [View Article] [PubMed]
    [Google Scholar]
  13. Zerbino DR, Birney E. Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Res 2008; 18:821–829 [View Article] [PubMed]
    [Google Scholar]
  14. Lee I, Chalita M, Ha S-M, Na S-I, Yoon S-H et al. ContEst16S: an algorithm that identifies contaminated prokaryotic genomes using 16S RNA gene sequences. Int J Syst Evol Microbiol 2017; 67:2053–2057 [View Article] [PubMed]
    [Google Scholar]
  15. Hyatt D, Chen G-L, Locascio PF, Land ML, Larimer FW et al. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics 2010; 11:119 [View Article] [PubMed]
    [Google Scholar]
  16. Kanehisa M, Sato Y, Kawashima M, Furumichi M, Tanabe M. KEGG as a reference resource for gene and protein annotation. Nucleic Acids Res 2016; 44:D457–D462 [View Article] [PubMed]
    [Google Scholar]
  17. 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]
  18. Chaudhari NM, Gupta VK, Dutta C. BPGA- an ultra-fast pan-genome analysis pipeline. Sci Rep 2016; 6:24373 [View Article] [PubMed]
    [Google Scholar]
  19. Chaumeil P-A, Mussig AJ, Hugenholtz P, Parks DH. GTDB-Tk: a toolkit to classify genomes with the Genome Taxonomy Database. Bioinformatics 2019; 36:1925–1927 [View Article] [PubMed]
    [Google Scholar]
  20. Minh BQ, Schmidt HA, Chernomor O, Schrempf D, Woodhams MD et al. Corrigendum to: IQ-TREE 2: new models and efficient methods for phylogenetic inference in the genomic era. Mol Biol Evol 2020; 37:1530–1534 [View Article] [PubMed]
    [Google Scholar]
  21. Thompson LR, Sanders JG, McDonald D, Amir A, Ladau J et al. A communal catalogue reveals Earth’s multiscale microbial diversity. Nature 2017; 551:457–463 [View Article] [PubMed]
    [Google Scholar]
  22. Rognes T, Flouri T, Nichols B, Quince C, Mahé F. VSEARCH: a versatile open source tool for metagenomics. PeerJ 2016; 4:e2584 [View Article] [PubMed]
    [Google Scholar]
  23. 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]
  24. Innamorati KA, Earl JP, Aggarwal SD, Ehrlich GD, Hiller NL. The bacterial guide to designing a diversified gene portfolio. In Tettelin H, Medini D. eds The Pangenome: Diversity, Dynamics and Evolution of Genomes Springer Nature; 2020 pp 51–87
    [Google Scholar]
  25. Chan DCK, Burrows LL. Thiopeptides: antibiotics with unique chemical structures and diverse biological activities. J Antibiot 2021; 74:161–175 [View Article] [PubMed]
    [Google Scholar]
  26. Han Y, Wang X, Zhang Y, Huo L. Discovery and characterization of marinsedin, a new class II lanthipeptide derived from marine bacterium Marinicella sediminis F2T. ACS Chem Biol 2022; 17:785–790 [View Article] [PubMed]
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journal/ijsem/10.1099/ijsem.0.006130
Loading
/content/journal/ijsem/10.1099/ijsem.0.006130
Loading

Data & Media loading...

Supplements

Supplementary material 1

PDF

Supplementary material 2

EXCEL
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