Skip to content
1887

Abstract

A novel bacterial strain with chitin-degrading ability, designated strain HSL-7, was isolated from a mangrove sediment in Guangxi, PR China. Cells of strain HSL-7 were Gram-stain-positive, aerobic, rod-shaped bacteria with a single polar flagellum. The strain grew at concentrations of 0–1% (w/v) NaCl (optimum at 0.5%), at pH 6.0–10.0 (optimum at 7.0) and in a temperature range of 15–37 °C (optimum at 20 °C). Strain HSL-7 shared the highest 16S rRNA gene sequence percentage with BCRC 17254 (94.4%). Phylogenetic analyses based on 16S rRNA gene and genome sequences showed that strain HSL-7 formed a distinct cluster in the family . The genome-relatedness indices between strain HSL-7 and other type species of the family were in the ranges of 75.61–79.73% for average nucleotide identity, 65.50–70.65% for average amino acid identity and 12.7–17.4% for digital DNA–DNA hybridization, which were significantly below the cut-off values for the genus delineation. The genome comprised 3,144,197 bp with a genomic DNA G+C content of 61.5 mol%. The major isoprenoid quinone was ubiquinone-8. The predominant fatty acids were summed feature 3 (C ω and/or C ω), summed feature 8 (C ω and/or C ω) and C. The polar lipids comprised aminolipid, aminophospholipid, diphosphatidylglycerol, phosphatidylethanolamine, phosphatidylglycerol, phospholipid and an unidentified lipid. The polyphasic taxonomic properties indicated that the strain represents a novel genus and species in the family for which the name gen. nov., sp. nov. is proposed. The type strain is HSL-7 (=JCM 37906=MCCC 1K09933).

Funding
This study was supported by the:
  • the Natural Science Foundation of Guangxi Province (Award Grant No. 2025GXNSFAA069035)
    • Principal Award Recipient: LiyanYang
  • the Guangxi Science and Technology Program (Award Gui Ke Fa [2024] 102-4)
    • Principal Award Recipient: LixiaPan
  • the Basic Science and Research Foundation of Guangxi Academy of Sciences (Award CQ-C-202302)
    • Principal Award Recipient: DengfengYang
  • the National Natural Science Foundation of China (Award Grant No. 32360244)
    • Principal Award Recipient: DengfengYang
  • the National Natural Science Foundation of China (Award Grant No. 32360227)
    • Principal Award Recipient: LixiaPan
  • Science and Technology Major Project of Guangxi (Award Guike AA24206044)
    • Principal Award Recipient: DengfengYang
Loading

Article metrics loading...

/content/journal/ijsem/10.1099/ijsem.0.007035
2026-02-02
2026-02-15

Metrics

Loading full text...

Full text loading...

References

  1. Murao S, Kawada T, Itoh H, Oyama H, Shin T. Purification and characterization of a novel type of chitinase from Vibrio alginolyticus TK-22. Biosci Biotech Bioch 1992; 56:368–369 [View Article]
    [Google Scholar]
  2. Park JK, Morita K, Fukumoto I, Yamasaki Y, Nakagawa T et al. Purification and characterization of the chitinase (ChiA) from Enterobacter sp. G-l. Biosci Biotech Bioch 1997; 61:684–689 [View Article]
    [Google Scholar]
  3. Baumann P, Gauthier MJ, Baumann L. Genus Alteromonas Baumann, Baumann, Mandel and Allen. In Krieg NR, Holt JG. eds Bergey’s Manual of Systematic Bacteriology vol 1 Baltimore: The Williams & Wilkins Co; 1984 pp 343–352
    [Google Scholar]
  4. Cody RM. Distribution of chitinase and chitobiase in Bacillus. Curr Microbiol 1989; 19:201–205 [View Article]
    [Google Scholar]
  5. Sangkhobol V, Skerman VBD. Chitinophaga, a new genus of chitinolytic myxobacteria. Int J Syst Bacteriol 1981; 31:285–293 [View Article]
    [Google Scholar]
  6. Cardozo FA, Gonzalez JM, Feitosa VA, Pessoa A, Rivera ING. Bioconversion of α-chitin into N-acetyl-glucosamine using chitinases produced by marine-derived Aeromonas caviae isolates. World J Microbiol Biotechnol 2017; 33:201 [View Article] [PubMed]
    [Google Scholar]
  7. Reichenbach H. The genus Lysobacter. In Balows A, Trüper HG, Dworkin M, Harder W, Schleifer KH. eds The Prokaryotes, 2nd edn. vol 4 New York: Springer-Verlag; 1992 pp 3256–3275 [View Article]
    [Google Scholar]
  8. Goodfellow M. The family Streptosporangiaceae. In Balows A, Trüper HG, Dworkin M, Harder W, Schleifer KH. eds The Prokaryotes vol 11 New York: Springer-Verlag; 1992 pp 1115–1138
    [Google Scholar]
  9. Molise EM, Drake CH. Chitinolysis by Serratiae including Serratia liquefaciens (Enterobacter liquefaciens). Int J Syst Bacteriol 1973; 23:278–280 [View Article]
    [Google Scholar]
  10. Berger LR, Reynolds DM. The chitinase system of a strain of Streptomyces griseus. Biochim Biophys Acta 1958; 29:522–534 [View Article] [PubMed]
    [Google Scholar]
  11. Baumann P, Schubert RHW. Family 11. Vibrionaceae Veron. In Krieg NR, Holt JG. eds Bergey’s Manual of Systematic Bacteriology vol 1 Baltimore: The Williams & Wilkins Co; 1984 pp 516–550
    [Google Scholar]
  12. Xu Y, Chen L, Yang L, Pan L, Zheng M et al. Chitinibacter mangrovi sp. nov., a novel chitin-degrading bacterium isolated from mangrove sediment. Curr Microbiol 2025; 82:299 [View Article] [PubMed]
    [Google Scholar]
  13. Chen S, Rudra B, Gupta RS. Phylogenomics and molecular signatures support division of the order Neisseriales into emended families Neisseriaceae and Chromobacteriaceae and three new families Aquaspirillaceae fam. nov., Chitinibacteraceae fam. nov., and Leeiaceae fam. nov. Syst Appl Microbiol 2021; 44:126251 [View Article] [PubMed]
    [Google Scholar]
  14. Chen J, Yang D, Zhang Y, Yang L, Wang Q et al. A novel bi-functional cold-adaptive chitinase from Chitinilyticum aquatile CSC-1 for efficient synthesis of N-acetyl-D-glucosaminidase. Int J Biol Macromol 2024; 259:129063 [View Article]
    [Google Scholar]
  15. Lane D. 16S/23S rRNA sequencing. In Nucleic Acid Techniques in Bacterial Systematics 1991 pp 115–175
    [Google Scholar]
  16. Kolmogorov M, Yuan J, Lin Y, Pevzner PA. Assembly of long, error-prone reads using repeat graphs. Nat Biotechnol 2019; 37:540–546 [View Article] [PubMed]
    [Google Scholar]
  17. Wick RR, Holt KE. Polypolish: short-read polishing of long-read bacterial genome assemblies. PLoS Comput Biol 2022; 18:e1009802 [View Article] [PubMed]
    [Google Scholar]
  18. 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]
  19. Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol 2013; 30:772–780 [View Article] [PubMed]
    [Google Scholar]
  20. 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]
  21. 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]
  22. Yu G, Smith DK, Zhu H, Guan Y, Lam TTY. GGTREE: an R package for visualization and annotation of phylogenetic trees with their covariates and other associated data. Methods Ecol Evol 2017; 8:28–36 [View Article]
    [Google Scholar]
  23. Cantalapiedra CP, Hernández-Plaza A, Letunic I, Bork P, Huerta-Cepas J. eggNOG-mapper v2: functional annotation, orthology assignments, and domain prediction at the metagenomic scale. Mol Biol Evol 2021; 38:5825–5829 [View Article] [PubMed]
    [Google Scholar]
  24. Capella-Gutiérrez S, Silla-Martínez JM, Gabaldón T. trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics 2009; 25:1972–1973 [View Article] [PubMed]
    [Google Scholar]
  25. 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]
  26. Sun J, Lu F, Luo Y, Bie L, Xu L et al. OrthoVenn3: an integrated platform for exploring and visualizing orthologous data across genomes. Nucleic Acids Res 2023; 51:W397–W403 [View Article] [PubMed]
    [Google Scholar]
  27. Jain C, Rodriguez-R LM, Phillippy AM, Konstantinidis KT, Aluru S. High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries. Nat Commun 2018; 9:5114 [View Article] [PubMed]
    [Google Scholar]
  28. Kim D, Park S, Chun J. Introducing EzAAI: a pipeline for high throughput calculations of prokaryotic average amino acid identity. J Microbiol 2021; 59:476–480 [View Article]
    [Google Scholar]
  29. 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]
  30. Lai Q, Liu X, Yuan J, Xie S, Shao Z. Pararhodobacter marinus sp. nov., isolated from deep-sea water of the Indian Ocean. Int J Syst Evol Microbiol 2019; 69:932–936 [View Article] [PubMed]
    [Google Scholar]
  31. Leisner JJ, Larsen MH, Jørgensen RL, Brøndsted L, Thomsen LE et al. Chitin hydrolysis by Listeria spp., including L. monocytogenes. Appl Environ Microbiol 2008; 74:3823–3830 [View Article] [PubMed]
    [Google Scholar]
  32. Collins MD, Jones D. A note on the separation of natural mixtures of bacterial ubiquinones using reverse-phase partition thin-layer chromatography and high-performance liquid chromatography. J Appl Microbiol 1981; 51:129–134 [View Article]
    [Google Scholar]
  33. Hiraishi A, Ueda Y, Ishihara J, Mori T. Comparative lipoquinone analysis of influent sewage and activated sludge by high-performance liquid chromatography and photodiode array detection. J Gen Appl Microbiol 1996; 42:457–469 [View Article]
    [Google Scholar]
  34. MIDI Sherlock Microbial Identification System Operating Manual, Version 3.0 Inc Newark, DE: MIDI; 1999
    [Google Scholar]
  35. Sasser M. Identification of bacteria by gas chromatography of cellular fatty acids. MIDI technical note 101 Newark, DE: MIDI inc; 1990
    [Google Scholar]
  36. Kates M. Techniques of Lipidology, 2nd ed Amsterdam: Elsevier; 1986 pp 106–107
    [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. 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]
  39. Yarza P, Yilmaz P, Pruesse E, Glöckner FO, Ludwig W et al. Uniting the classification of cultured and uncultured bacteria and archaea using 16S rRNA gene sequences. Nat Rev Microbiol 2014; 12:635–645 [View Article] [PubMed]
    [Google Scholar]
  40. 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]
  41. Rosselló-Móra R, Amann R. Past and future species definitions for Bacteria and Archaea. Syst Appl Microbiol 2015; 38:209–216 [View Article] [PubMed]
    [Google Scholar]
  42. 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]
  43. 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]
/content/journal/ijsem/10.1099/ijsem.0.007035
Loading
/content/journal/ijsem/10.1099/ijsem.0.007035
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