Skip to content
1887

Abstract

An aerobic methanotroph was isolated from a biofilm of coal mine Gruve 7 (Svalbard) and designated strain G7. Cells of strain G7 were Gram-stain-negative, pink-pigmented and motile rods. Strain G7 could grow at pH 6.8 and at temperatures ranging from 4 to 21 °C. The genome size was 4.00 Mb with a (digital) DNA G+C content of 47.7 mol%. Strain G7 represents a member of the family of the class . It displayed 94.6–99.7% 16S rRNA gene sequence similarity to the type strains of the genus . Whole-genome comparisons based on average nucleotide identity (ANI) and digital DNA–DNA hybridization (dDDH) confirmed that strain G7 represents a novel species. It showed 16S rRNA gene identity of 99.7%, 91.8% ANI and 46% dDDH to the closest type strain, LS7-T4A, with ANI and dDDH being much lower than the typically used 95 and 70% cutoffs, respectively, to delineate different species. For methane activation, strain G7 carries genes encoding particulate methane monooxygenase (pmoCAB). Also, genes of the methane utilization pathways, i.e. oxidation of methane to carbon dioxide and assimilation of methane-carbon to biomass, were encoded in the genome. Strikingly, compared to all other spp. strains, strain G7 did not have nitrogenase genes for nitrogen fixation. Strain G7 also possessed genes for ectoine production, which was not observed in the genomes of its closest relatives. Based on phenotypic, genetic and phylogenetic data, strain G7 represents a novel species within the genus for which the name sp. nov. is proposed, with strain G7 (DSM: 117899; LMG: 33632) as the type strain.

Funding
This study was supported by the:
  • Research Council of Finland (Award 353750)
    • Principal Award Recipient: NotApplicable
  • Research Council of Finland (Award 346751)
    • Principal Award Recipient: NotApplicable
  • Research Council of Norway (Award Living on Air 315129)
    • Principal Award Recipient: NotApplicable
  • Research Council of Norway (Award 191696/V49)
    • Principal Award Recipient: NotApplicable
  • This is an open-access article distributed under the terms of the Creative Commons Attribution License. This article was made open access via a Publish and Read agreement between the Microbiology Society and the corresponding author’s institution.
Loading

Article metrics loading...

/content/journal/ijsem/10.1099/ijsem.0.006984
2025-11-28
2025-12-16

Metrics

Loading full text...

Full text loading...

/deliver/fulltext/ijsem/75/11/ijsem006984.html?itemId=/content/journal/ijsem/10.1099/ijsem.0.006984&mimeType=html&fmt=ahah

References

  1. Collins DA, Akberdin IR, Kalyuzhnaya MG. Methylobacter. In Bergey’s Manual of Systematics of Archaea and Bacteria pp 1–12
    [Google Scholar]
  2. Kallistova AYu, Montonen L, Jurgens G, Münster U, Kevbrina MV et al. Culturable psychrotolerant methanotrophic bacteria in landfill cover soil. Microbiology 2013; 82:847–855 [View Article]
    [Google Scholar]
  3. Saunois M, Stavert AR, Poulter B, Bousquet P, Canadell JG et al. The global methane budget 2000–2017. Earth Syst Sci Data 2020; 12:1561–1623 [View Article]
    [Google Scholar]
  4. Wolińska A, Pytlak A, Stępniewska Z, Kuźniar A, Piasecki C. Identification of methanotrophic bacteria community in the Jastrzebie-Moszczenica coal mine by fluorescence in situ hybridization and PCR techniques. Pol J Environ Stud 2013; 22:275–282
    [Google Scholar]
  5. Stępniewska Z, Pytlak A, Kuźniar A. Distribution of the methanotrophic bacteria in the Western part of the Upper Silesian Coal Basin (Borynia-Zofiówka and Budryk coal mines). Int J Coal Geol 2014; 130:70–78 [View Article]
    [Google Scholar]
  6. Stępniewska Z, Pytlak A. Methanotrophic activity of coalbed rocks from "Bogdanka" coal mine (south-east poland). Arch Environ Prot 2022; 34:183–191
    [Google Scholar]
  7. Stępniewska Z, Pytlak A, Kuźniar A. Methanotrophic activity in Carboniferous coalbed rocks. Int J Coal Geol 2013; 106:1–10 [View Article]
    [Google Scholar]
  8. Tveit AT, Söllinger A, Rainer EM, Didriksen A, Hestnes AG et al. Thermal acclimation of methanotrophs from the genus Methylobacter. ISME J 2023; 17:502–513 [View Article] [PubMed]
    [Google Scholar]
  9. DOE Joint Genome Institute Bacterial genomic DNA isolation using CTAB; 2012 https://jgi.doe.gov/sites/default/files/2025-01/JGI-Bacterial-DNA-isolation-CTAB-Protocol.pdf
  10. 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]
  11. Vaser R, Sović I, Nagarajan N, Šikić M. Fast and accurate de novo genome assembly from long uncorrected reads. Genome Res 2017; 27:737–746 [View Article] [PubMed]
    [Google Scholar]
  12. Seemann T. Prokka: rapid prokaryotic genome annotation. Bioinformatics 2014; 30:2068–2069 [View Article] [PubMed]
    [Google Scholar]
  13. Zhou Z, Tran PQ, Breister AM, Liu Y, Kieft K et al. METABOLIC: high-throughput profiling of microbial genomes for functional traits, metabolism, biogeochemistry, and community-scale functional networks. Microbiome 2022; 10:33 [View Article] [PubMed]
    [Google Scholar]
  14. Blin K, Shaw S, Vader L, Szenei J, Reitz ZL et al. antiSMASH 8.0: extended gene cluster detection capabilities and analyses of chemistry, enzymology, and regulation. Nucleic Acids Res 2025; 53:W32–W38 [View Article]
    [Google Scholar]
  15. Aramaki T, Blanc-Mathieu R, Endo H, Ohkubo K, Kanehisa M et al. KofamKOALA: KEGG Ortholog assignment based on profile HMM and adaptive score threshold. Bioinformatics 2020; 36:2251–2252 [View Article] [PubMed]
    [Google Scholar]
  16. Segata N, Börnigen D, Morgan XC, Huttenhower C. PhyloPhlAn is a new method for improved phylogenetic and taxonomic placement of microbes. Nat Commun 2013; 4:2304 [View Article] [PubMed]
    [Google Scholar]
  17. 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]
  18. Stamatakis A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 2014; 30:1312–1313 [View Article]
    [Google Scholar]
  19. 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]
  20. Rodríguez-R LM, Konstantinidis KT. Bypassing cultivation to identify bacterial species: culture-independent genomic approaches identify credibly distinct clusters, avoid cultivation bias, and provide true insights into microbial species. Microbe Magazine 2014; 9:111–118 [View Article]
    [Google Scholar]
  21. 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]
  22. Patil SK, Islam T, Tveit A, Hodson A, Øvreås L. Targeting methanotrophs and isolation of a novel psychrophilic Methylobacter species from a terrestrial Arctic alkaline methane seep in Lagoon Pingo, Central Spitsbergen (78° N). Antonie van Leeuwenhoek 2024; 117:60 [View Article]
    [Google Scholar]
  23. Omelchenko MV, Vasilyeva LV, Zavarzin GA. Psychrophilic methanotroph from tundra soil. Curr Microbiol 1993; 27:255–259 [View Article]
    [Google Scholar]
  24. Omel’Chenko MV, Vasil’Eva LV, Zavarzin GA, Savel’Eva ND, Lysenko AM et al. A novel psychrophilic methanotroph of the genus Methylobacter. Микробиология 1996; 65:384–389
    [Google Scholar]
  25. Roldán DM, Menes RJ. Characterisation of “Candidatus Methylobacter titanis” sp. nov., a putative novel species of Methylobacter clade 2 and their distribution in sediments of freshwater lakes in maritime Antarctica. Antonie van Leeuwenhoek 2023; 116:721–738 [View Article] [PubMed]
    [Google Scholar]
  26. Khanongnuch R, Mangayil R, Svenning MM, Rissanen AJ. Characterization and genome analysis of a psychrophilic methanotroph representing a ubiquitous Methylobacter spp. cluster in boreal lake ecosystems. ISME Commun 2022; 2:85 [View Article] [PubMed]
    [Google Scholar]
  27. Wartiainen I, Hestnes AG, McDonald IR, Svenning MM. Methylobacter tundripaludum sp. nov., a methane-oxidizing bacterium from Arctic wetland soil on the Svalbard islands, Norway (78 degrees N). Int J Syst Evol Microbiol 2006; 56:109–113 [View Article] [PubMed]
    [Google Scholar]
  28. Rissanen AJ, Mangayil R, Svenning MM, Khanongnuch R. Draft genome sequence data of a psychrophilic tundra soil methanotroph, Methylobacter psychrophilus Z-0021 (DSM 9914). Data Brief 2022; 45:108689 [View Article]
    [Google Scholar]
  29. 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]
  30. Bowers RM, Kyrpides NC, Stepanauskas R, Harmon-Smith M, Doud D et al. Minimum information about a single amplified genome (MISAG) and a metagenome-assembled genome (MIMAG) of bacteria and archaea. Nat Biotechnol 2017; 35:725–731 [View Article] [PubMed]
    [Google Scholar]
  31. 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]
  32. 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]
  33. Auch AF, von Jan M, Klenk H-P, Göker M. Digital DNA-DNA hybridization for microbial species delineation by means of genome-to-genome sequence comparison. Stand Genomic Sci 2010; 2:117–134 [View Article] [PubMed]
    [Google Scholar]
  34. Orata FD, Meier-Kolthoff JP, Sauvageau D, Stein LY. Phylogenomic analysis of the gammaproteobacterial methanotrophs (Order Methylococcales) calls for the reclassification of members at the genus and species levels. Front Microbiol 2018; 9:3162 [View Article] [PubMed]
    [Google Scholar]
  35. 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]
  36. Degelmann DM, Borken W, Drake HL, Kolb S. Different atmospheric methane-oxidizing communities in European beech and Norway spruce soils. Appl Environ Microbiol 2010; 76:3228–3235 [View Article] [PubMed]
    [Google Scholar]
  37. Knief C. Diversity and habitat preferences of cultivated and uncultivated aerobic methanotrophic bacteria evaluated based on pmoA as molecular marker. Front Microbiol 2015; 6:1346 [View Article] [PubMed]
    [Google Scholar]
  38. Garber AI, Nealson KH, Okamoto A, McAllister SM, Chan CS et al. FeGenie: a comprehensive tool for the identification of iron genes and iron gene neighborhoods in genome and metagenome assemblies. Front Microbiol 2020; 11:37 [View Article] [PubMed]
    [Google Scholar]
  39. López G-D, Álvarez-Rivera G, Carazzone C, Ibáñez E, Leidy C et al. Bacterial carotenoids: extraction, characterization, and applications. Crit Rev Anal Chem 2023; 53:1239–1262 [View Article] [PubMed]
    [Google Scholar]
  40. Ng HS, Wan P-K, Kondo A, Chang J-S, Lan JC-W. Production and recovery of ectoine: a review of current state and future prospects. Processes 2023; 11:339 Epub ahead of print 2023 [View Article]
    [Google Scholar]
/content/journal/ijsem/10.1099/ijsem.0.006984
Loading
/content/journal/ijsem/10.1099/ijsem.0.006984
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