Skip to content
1887

Abstract

In the deep subsurface Miocene groundwater of Horonobe, Hokkaido, Japan, we isolated strain Z1-71ᵀ, an obligately anaerobic, Gram-stain-negative, non-motile bacterium with rod-shaped morphology (2.7–4.8 µm × 0.4 µm). This strain could grow at 10–42 °C (optimum, 30–35 °C), over a pH range of 6.0–9.0 (optimum, pH 7.0–7.2) and in the presence of 0–30 g l NaCl (optimum, 5–15 g l). Physiologically, strain Z1-71ᵀ displayed positive catalase activity but negative oxidase reaction, with notable hydrogen production during -glucose metabolism. Chemotaxonomic analysis revealed MK-7 as the sole respiratory quinone, while cellular lipid profiling identified four unidentified polar lipids, one unidentified phospholipid, one unidentified aminolipid and one unidentified glycolipid. The predominant fatty acids comprised C (23.4%), C c (13.8%), anteiso-C (6.9%) and iso-C 3-OH (6.6%). Genomic characterization determined a genome size of 5.7 Mb with a G+C content of 45.9 mol%. Comprehensive phylogenetic analysis of 16S rRNA gene sequences positioned strain Z1-71ᵀ within the family , showing the highest sequence similarity to A06 (95.0%), followed by SCSIO N0430 (94.6%), BM_7 (94.3%) and FA423 (93.6%). Digital DNA–DNA hybridization and orthologous average nucleotide identity tool using USEARCH (OrthoANIu) analyses between strain Z1-71ᵀ and A06 yielded values of 20.7% and 75.8%, respectively, confirming genomic distinction. Based on these phylogenetic and phenotypic characteristics, we propose strain Z1-71ᵀ (=DSM 117644ᵀ=JCM 36072ᵀ) as the type strain of a novel species, sp. nov. This discovery not only expands our understanding of microbial diversity in deep terrestrial subsurface environments but also highlights the ecological significance of hydrogen-producing anaerobes in these previously underexplored habitats.

Funding
This study was supported by the:
  • Ministry of Economy, Trade and Industry (METI)
Loading

Article metrics loading...

/content/journal/ijsem/10.1099/ijsem.0.006802
2025-06-04
2026-01-16

Metrics

Loading full text...

Full text loading...

References

  1. Lovley DR, Chapelle FH. Deep subsurface microbial processes. Rev Geophys 1995; 33:365–381 [View Article]
    [Google Scholar]
  2. Thullner M, Regnier P. Microbial controls on the biogeochemical dynamics in the subsurface. Rev Mineral Geochem 2019; 85:265–302 [View Article]
    [Google Scholar]
  3. Kallmeyer J, Pockalny R, Adhikari RR, Smith DC, D’Hondt S. Global distribution of microbial abundance and biomass in subseafloor sediment. Proc Natl Acad Sci USA 2012; 109:16213–16216 [View Article] [PubMed]
    [Google Scholar]
  4. Parkes RJ, Cragg B, Roussel E, Webster G, Weightman A et al. A review of prokaryotic populations and processes in sub-seafloor sediments, including biosphere:geosphere interactions. Marine Geology 2014; 352:409–425 [View Article]
    [Google Scholar]
  5. Huang X-F, Liu YJ, Dong J-D, Qu L-Y, Zhang Y-Y et al. Mangrovibacterium diazotrophicum gen. nov., sp. nov., a nitrogen-fixing bacterium isolated from a mangrove sediment, and proposal of Prolixibacteraceae fam. nov. Int J Syst Evol Microbiol 2014; 64:875–881 [View Article] [PubMed]
    [Google Scholar]
  6. Yu W-X, Liang Q-Y, Xuan X-Q, Du Z-J, Mu D-S. Gaoshiqia sediminis gen. nov., sp. nov., isolated from coastal sediment. Int J System Evol Microbiol 2023; 73: [View Article]
    [Google Scholar]
  7. Wu W-J, Zhou Y-X, Liu Y, Chen G-J, Du Z-J. Mangrovibacterium marinum sp. nov., isolated from a coastal sediment. Antonie van Leeuwenhoek 2015; 107:1583–1589 [View Article] [PubMed]
    [Google Scholar]
  8. Sun C, Zeng X, Lai Q, Wang Z, Shao Z. Mangrovibacterium lignilyticum sp. nov., a facultatively anaerobic lignin-degrading bacterium isolated from mangrove sediment. Int J Syst Evol Microbiol 2020; 70:4502–4507 [View Article] [PubMed]
    [Google Scholar]
  9. Qu L, Zhu F, Hong X, Gao W, Chen J et al. Sunxiuqinia elliptica gen. nov., sp. nov., a member of the phylum Bacteroidetes isolated from sediment in a sea cucumber farm. Int J Syst Evol Microbiol 2011; 61:2885–2889 [View Article]
    [Google Scholar]
  10. Chang D-H, Lee J-B, Lee G-H, Rhee M-S, Lee H et al. Sunxiuqinia dokdonensis sp. nov., isolated from deep sub-seafloor sediment. J Microbiol 2013; 51:741–746 [View Article] [PubMed]
    [Google Scholar]
  11. Takai K, Abe M, Miyazaki M, Koide O, Nunoura T et al. Sunxiuqinia faeciviva sp. nov., a facultatively anaerobic organoheterotroph of the Bacteroidetes isolated from deep subseafloor sediment. Int J Syst Evol Microbiol 2013; 63:1602–1609 [View Article] [PubMed]
    [Google Scholar]
  12. Yoon J, Kasai H. Sunxiuqinia rutila sp. nov., a new member of the phylum Bacteroidetes isolated from marine sediment. J Gen Appl Microbiol 2014; 60:28–32 [View Article] [PubMed]
    [Google Scholar]
  13. Li J, Qi M, Lai Q, Wang G, Shao Z. Sunxiuqinia indica sp. nov., isolated from deep sea. Int J Syst Evol Microbiol 2020; 70:4186–4192 [View Article]
    [Google Scholar]
  14. Shimizu S, Ueno A, Tamamura S, Naganuma T, Kaneko K. Methanoculleus horonobensis sp. nov., a methanogenic archaeon isolated from a deep diatomaceous shale formation. Int J Syst Evol Microbiol 2013; 63:4320–4323 [View Article] [PubMed]
    [Google Scholar]
  15. Shimizu S, Akiyama M, Ishijima Y, Hama K, Kunimaru T et al. Molecular characterization of microbial communities in fault‐bordered aquifers in the Miocene formation of northernmost Japan. Geobiology 2006; 4:203–213 [View Article]
    [Google Scholar]
  16. Ise K, Sasaki Y, Amano Y, Iwatsuki T, Nanjo I et al. The succession of bacterial community structure in groundwater from a 250-m gallery in the Horonobe Underground Research Laboratory. Geomicrobiol J 2017; 34:489–499 [View Article]
    [Google Scholar]
  17. Ueno A, Shimizu S, Tamamura S, Okuyama H, Naganuma T et al. Anaerobic decomposition of humic substances by Clostridium from the deep subsurface. Sci Rep 2016; 6:18990 [View Article]
    [Google Scholar]
  18. Wolin EA, Wolin MJ, Wolfe RS. Formation of methane by bacterial extracts. J Biol Chem 1963; 238:2882–2886 [View Article] [PubMed]
    [Google Scholar]
  19. Hungate RE. A roll-tube method for the cultivation of strict anaerobes. Methods Microbiol 1969; 3B:117–132
    [Google Scholar]
  20. Lane DJ. 16S/23S rRNA sequencing. In Stackebrandt E, Goodfellow M. eds Nucleic Acid Techniques in Bacterial Systematics New York: John Wiley & Sons; 1991 pp 115–175
    [Google Scholar]
  21. Ueno A, Tamazawa S, Tamamura S, Murakami T, Kiyama T et al. Desulfovibrio subterraneus sp. nov., a mesophilic sulfate-reducing deltaproteobacterium isolated from a deep siliceous mudstone formation. Int J Syst Evol Microbiol 2021; 71: [View Article] [PubMed]
    [Google Scholar]
  22. Edgar RC. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res 2004; 32:1792–1797 [View Article] [PubMed]
    [Google Scholar]
  23. Johnson JS, Spakowicz DJ, Hong B-Y, Petersen LM, Demkowicz P et al. Evaluation of 16S rRNA gene sequencing for species and strain-level microbiome analysis. Nat Commun 2019; 10:5029 [View Article] [PubMed]
    [Google Scholar]
  24. Tamura K, Stecher G, Kumar S. MEGA11: Molecular Evolutionary Genetics Analysis Version 11. Molecular Biology and Evolution 2021; 38:3022–3027 [View Article] [PubMed]
    [Google Scholar]
  25. 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]
  26. Guindon S, Gascuel O. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst Biol 2003; 52:696–704
    [Google Scholar]
  27. Kumar S. A stepwise algorithm for finding minimum evolution trees. Mol Biol Evol 1996; 13:584–593 [View Article] [PubMed]
    [Google Scholar]
  28. 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]
  29. Wick RR, Schultz MB, Zobel J, Holt KE. Bandage: interactive visualization of de novo genome assemblies. Bioinformatics 2015; 31:3350–3352 [View Article]
    [Google Scholar]
  30. 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]
    [Google Scholar]
  31. Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics 2014; 30:2068–2069 [View Article] [PubMed]
    [Google Scholar]
  32. Overbeek R, Olson R, Pusch GD, Olsen GJ, Davis JJ et al. The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST). Nucleic Acids Res 2014; 42:D206–14 [View Article] [PubMed]
    [Google Scholar]
  33. 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]
    [Google Scholar]
  34. 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]
  35. 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]
  36. Zheng J, Ge Q, Yan Y, Zhang X, Huang L et al. dbCAN3: automated carbohydrate-active enzyme and substrate annotation. Nucleic Acids Res 2023; 51:W115–W121 [View Article] [PubMed]
    [Google Scholar]
  37. Blin K, Shaw S, Augustijn HE, Reitz ZL, Biermann F et al. antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation. Nucleic Acids Res 2023; 51:W46–W50 [View Article] [PubMed]
    [Google Scholar]
  38. 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]
  39. Eddy SR. Accelerated profile HMM searches. PLoS Comput Biol 2011; 7:e1002195 [View Article] [PubMed]
    [Google Scholar]
  40. Price MN, Dehal PS, Arkin AP. FastTree 2--approximately maximum-likelihood trees for large alignments. PLoS One 2010; 5:e9490 [View Article] [PubMed]
    [Google Scholar]
  41. Whelan S, Goldman N. A general empirical model of protein evolution derived from multiple protein families using a maximum-likelihood approach. Mol Biol Evol 2001; 18:691–699 [View Article] [PubMed]
    [Google Scholar]
  42. Shimodaira H, Hasegawa M. Multiple comparisons of log-likelihoods with applications to phylogenetic inference. Mol Biol Evol 1999; 16:1114–1116 [View Article]
    [Google Scholar]
  43. Letunic I, Bork P. Interactive Tree Of Life (iTOL): an online tool for phylogenetic tree display and annotation. Bioinformatics 2007; 23:127–128 [View Article] [PubMed]
    [Google Scholar]
  44. 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 Evol Microbiol 1987; 37:463–464 [View Article]
    [Google Scholar]
  45. Tindall BJ, Rosselló-Móra R, Busse H-J, Ludwig W, Kämpfer P. Notes on the characterization of prokaryote strains for taxonomic purposes. Int J Syst Evol Microbiol 2010; 60:249–266 [View Article] [PubMed]
    [Google Scholar]
  46. Coico R. Gram Staining. Curr Protoc Microbiol 2006; 00: [View Article]
    [Google Scholar]
  47. Saini RK, Prasad P, Shang X, Keum YS. Advances in lipid extraction methods-A review. Int J Mol Sci 2021; 22:24 [View Article] [PubMed]
    [Google Scholar]
  48. Cord-Ruwisch R. A quick method for the determination of dissolved and precipitated sulfides in cultures of sulfate-reducing bacteria. J Microbiol Methods 1985; 4:33–36 [View Article]
    [Google Scholar]
  49. Huang Z, Dong C, Shao Z. Paraphotobacterium marinum gen. nov., sp. nov., a member of the family Vibrionaceae, isolated from surface seawater. Int J Syst Evol Microbiol 2016; 66:3050–3056 [View Article] [PubMed]
    [Google Scholar]
  50. Tamamura S, Murakami T, Aramaki N, Ueno A, Badrul AA et al. Reaction of lignite with dilute hydrogen peroxide to produce substrates for methanogens at in situ subsurface temperatures. Int J Coal Geol 2016; 167:230–237 [View Article]
    [Google Scholar]
  51. Ueno A, Tamazawa S, Tamamura S, Murakami T, Kiyama T et al. Accelerated bioconversion of chemically solubilized lignite solution to methane by methanogenic consortium: experimental results and their application to the subsurface cultivation and gasification method. Microorganisms 2022; 10:1984 [View Article] [PubMed]
    [Google Scholar]
  52. Holmes DE, Nevin KP, Woodard TL, Peacock AD, Lovley DR. Prolixibacter bellariivorans gen. nov., sp. nov., a sugar-fermenting, psychrotolerant anaerobe of the phylum Bacteroidetes, isolated from a marine-sediment fuel cell. Int J Syst Evol Microbiol 2007; 57:701–707 [View Article]
    [Google Scholar]
/content/journal/ijsem/10.1099/ijsem.0.006802
Loading
/content/journal/ijsem/10.1099/ijsem.0.006802
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