Skip to content
1887

Abstract

A novel yellow-coloured bacterial strain MA10 was isolated from mangrove sediment and subjected to polyphasic taxonomic identification. Strain MA10 was Gram-negative, rod-shaped, catalase-positive and oxidase-positive. Carotenoid pigment was present, and flexirubin-type pigment was absent. The 16S rRNA gene of strain MA10 had the highest sequence similarity with HST1-43 of 94.5%. The genome size was 3.77 Mbp with a genomic G+C content of 36.3%. The phylogenetic analysis of the 16S rRNA gene sequence and whole-genome sequence showed that strain MA10 belonged to the genus of the family and tightly clustered with HST1-43. The digital DNA–DNA hybridization value and average nucleotide identity value between strain MA10 and HST1-43 were 20.4 and 76.7%, respectively. The major menaquinone was MK-6. The major fatty acids (>10 %) were iso-C (41.6%) and iso-C G (16.8%). The polar lipids consisted of phosphatidylethanolamine, two unidentified aminolipids and three unidentified lipids. Based on the present polyphasic taxonomic study, strain MA10 was considered to represent a novel species of the genus , for which the name sp. nov. was proposed. The type strain was MA10 (=MCCC 1K09289=KCTC 102321). Additionally, the phylogeny of the 16S rRNA gene and whole-genome sequences found that the hitherto described nine species of the genus and presented polyphyletic clades, which could be divided into five different genera. The average amino acid identity value of 80% was chosen as the boundary of the five genera. Thus, except for the genus , four novel genera named gen. nov., gen. nov., gen. nov. and gen. nov. were proposed. This study provided valuable taxonomic analysis of the genus .

Funding
This study was supported by the:
  • Quanzhou City Science and Technology Program (Award (2022C018R)
    • Principal Award Recipient: ZhaobinHuang
  • project of FuXiaQuan National Independent Innovation Demonstration Zone Collaborative Innovation Platform Project (Award 2023FX0001)
    • Principal Award Recipient: CongjieDai
Loading

Article metrics loading...

/content/journal/ijsem/10.1099/ijsem.0.006673
2025-02-07
2025-12-07

Metrics

Loading full text...

Full text loading...

References

  1. Lee SD. Tamlana crocina gen. nov., sp. nov., a marine bacterium of the family Flavobacteriaceae, isolated from beach sediment in Korea. Int J Syst Evol Microbiol 2007; 57:764–769 [View Article]
    [Google Scholar]
  2. Romanenko LA, Tanaka N, Kurilenko VV, Svetashev VI. Tamlana sedimentorum sp. nov., isolated from shallow sand sediments of the Sea of Japan. Int J Syst Evol Microbiol 2014; 64:2891–2896 [View Article]
    [Google Scholar]
  3. Jung J, Bae SS, Chung D, Baek K. Tamlana carrageenivorans sp. nov., a carrageenan-degrading bacterium isolated from seawater. Int J Syst Evol Microbiol 2019; 69:1355–1360 [View Article]
    [Google Scholar]
  4. Yoon JH, Kang SJ, Lee MH, Oh TK. Tamlana agarivorans sp. nov., isolated from seawater off Jeju Island in Korea. Int J Syst Evol Microbiol 2008; 58:1892–1895 [View Article]
    [Google Scholar]
  5. Cao WR, Liu BT, Sun XK, Sun YY, Jiang MY et al. Tamlana haliotis sp. nov., isolated from the gut of the abalone Haliotis rubra. Arch Microbiol 2021; 203:2357–2364
    [Google Scholar]
  6. Li J, Liang Y, He Z, An L, Liu Y et al. Tamlana laminarinivorans sp. nov. and Tamlana sargassicola sp. nov., two novel species isolated from Sargassum, show genomic and physiological adaptations for a Sargassum-associated lifestyle. Int J Syst Evol Microbiol 2023; 73:005706 [View Article]
    [Google Scholar]
  7. Li J, Xu Y, Feng J, Zhong M, Xie Q et al. Tamlana fucoidanivorans sp. nov., isolated from algae collected in China. Int J Syst Evol Microbiol 2020; 70:1496–1502 [View Article]
    [Google Scholar]
  8. Xia H-F, Jia X-Y, Zhou Y-X, Du Z-J, Mu D-S et al. Comparative genomics reveal distinct potential of Tamlana sp. S12 for algal polysaccharide degradation. Front Mar Sci 2023; 10: [View Article]
    [Google Scholar]
  9. 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]
  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, Tamura K. MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol 2016; 33:1870–1874 [View Article] [PubMed]
    [Google Scholar]
  12. Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M et al. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 2012; 19:455–477 [View Article] [PubMed]
    [Google Scholar]
  13. 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]
  14. Hyatt D, Chen G-L, Locascio PF, Land ML, Larimer FW et al. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinf 2010; 11:119 [View Article] [PubMed]
    [Google Scholar]
  15. 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]
  16. Blin K, Shaw S, Steinke K, Villebro R, Ziemert N et al. antiSMASH 5.0: updates to the secondary metabolite genome mining pipeline. Nucleic Acids Res 2019; 47:W81–W87 [View Article]
    [Google Scholar]
  17. Meier-Kolthoff JP, Carbasse JS, Peinado-Olarte RL, Goker 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
    [Google Scholar]
  18. Yoon SH, Ha SM, Lim J, Kwon S, Chun J. A large-scale evaluation of algorithms to calculate average nucleotide identity. Antonie van Leeuwenhoek 2017; 110:1281–1286
    [Google Scholar]
  19. 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]
    [Google Scholar]
  20. Chaumeil PA, Mussig AJ, Hugenholtz P, Parks DH. GTDB-tk: a toolkit to classify genomes with the genome taxonomy database. Bioinformatics 2019; 36:1925–1927
    [Google Scholar]
  21. Asnicar F, Thomas AM, Beghini F, Mengoni C, Manara S et al. Precise phylogenetic analysis of microbial isolates and genomes from metagenomes using PhyloPhlAn 3.0. Nat Commun 2020; 11:2500 [View Article] [PubMed]
    [Google Scholar]
  22. Kester DR, Duedall IW, Connors DN, Pytkowicz RM. Preparation of Artificial Seawater. Limnol Oceanogr 1967; 12:176–179 [View Article]
    [Google Scholar]
  23. Bernardet J-F, Nakagawa Y, Holmes B. 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] [PubMed]
    [Google Scholar]
  24. Komagata K, Suzuki K-I. Lipid and cell-wall analysis in bacterial systematics. Meth Microbiol 1987; 19:161–207 [View Article]
    [Google Scholar]
  25. 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 Method 1984; 2:233–241 [View Article]
    [Google Scholar]
  26. Yin Q, Liang J, Zheng X, Wang Y, Song Z-M et al. Algibacter onchidii sp. nov., a symbiotic bacterium isolated from a marine invertebrate. Int J Syst Evol Microbiol 2021; 71:005102 [View Article] [PubMed]
    [Google Scholar]
  27. Liu X, Lai Q, Du Y, Li G, Sun F et al. Tamlana nanhaiensis sp. nov., isolated from surface seawater collected from the South China Sea. Antonie van Leeuwenhoek 2015; 107:1189–1196 [View Article]
    [Google Scholar]
/content/journal/ijsem/10.1099/ijsem.0.006673
Loading
/content/journal/ijsem/10.1099/ijsem.0.006673
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