Methylocella tundrae T4 is a psychrophilic prokaryote that was isolated from sphagnum peat of tundra wetland.
psychrophilic 16S sequence| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Hyphomicrobiales |
| Family Beijerinckiaceae |
| Genus Methylocella |
| Species Methylocella tundrae |
| Full scientific name Methylocella tundrae Dedysh et al. 2004 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 6027 | MINERAL MEDIUM (DSMZ Medium 1007) | Medium recipe at MediaDive | Name: MINERAL MEDIUM (DSMZ Medium 1007) Composition: KNO3 0.25 g/l KH2PO4 0.1 g/l MgSO4 x 7 H2O 0.05 g/l CaCl2 x 2 H2O 0.01 g/l EDTA 0.005 g/l FeSO4 x 7 H2O 0.002 g/l CoCl2 x 6 H2O 0.0002 g/l CuCl2 x 5 H2O 0.0001 g/l ZnSO4 x 7 H2O 0.0001 g/l Na2MoO4 3e-05 g/l MnCl2 x 4 H2O 3e-05 g/l NiCl2 x 6 H2O 2e-05 g/l Distilled water |
| @ref | Salt | Growth | Tested relation | Concentration | |
|---|---|---|---|---|---|
| 23150 | NaCl | growth | >0.8 %(w/v) |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | sulfopterin metabolism | 100 | 4 of 4 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | photosynthesis | 100 | 14 of 14 | ||
| 66794 | cyanate degradation | 100 | 3 of 3 | ||
| 66794 | glycogen metabolism | 100 | 5 of 5 | ||
| 66794 | reductive acetyl coenzyme A pathway | 100 | 7 of 7 | ||
| 66794 | molybdenum cofactor biosynthesis | 100 | 9 of 9 | ||
| 66794 | C4 and CAM-carbon fixation | 100 | 8 of 8 | ||
| 66794 | gluconeogenesis | 100 | 8 of 8 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | butanoate fermentation | 100 | 4 of 4 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | acetate fermentation | 100 | 4 of 4 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | biotin biosynthesis | 100 | 4 of 4 | ||
| 66794 | cardiolipin biosynthesis | 100 | 7 of 7 | ||
| 66794 | starch degradation | 90 | 9 of 10 | ||
| 66794 | threonine metabolism | 90 | 9 of 10 | ||
| 66794 | valine metabolism | 88.89 | 8 of 9 | ||
| 66794 | NAD metabolism | 88.89 | 16 of 18 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | isoleucine metabolism | 87.5 | 7 of 8 | ||
| 66794 | citric acid cycle | 85.71 | 12 of 14 | ||
| 66794 | tetrahydrofolate metabolism | 85.71 | 12 of 14 | ||
| 66794 | phenylalanine metabolism | 84.62 | 11 of 13 | ||
| 66794 | vitamin B12 metabolism | 82.35 | 28 of 34 | ||
| 66794 | glutamate and glutamine metabolism | 82.14 | 23 of 28 | ||
| 66794 | phenol degradation | 80 | 16 of 20 | ||
| 66794 | propionate fermentation | 80 | 8 of 10 | ||
| 66794 | ethylmalonyl-CoA pathway | 80 | 4 of 5 | ||
| 66794 | phenylacetate degradation (aerobic) | 80 | 4 of 5 | ||
| 66794 | Entner Doudoroff pathway | 80 | 8 of 10 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | glutathione metabolism | 78.57 | 11 of 14 | ||
| 66794 | serine metabolism | 77.78 | 7 of 9 | ||
| 66794 | d-mannose degradation | 77.78 | 7 of 9 | ||
| 66794 | leucine metabolism | 76.92 | 10 of 13 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | 3-phenylpropionate degradation | 73.33 | 11 of 15 | ||
| 66794 | pentose phosphate pathway | 72.73 | 8 of 11 | ||
| 66794 | vitamin B6 metabolism | 72.73 | 8 of 11 | ||
| 66794 | proline metabolism | 72.73 | 8 of 11 | ||
| 66794 | alanine metabolism | 72.41 | 21 of 29 | ||
| 66794 | oxidative phosphorylation | 71.43 | 65 of 91 | ||
| 66794 | ubiquinone biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | heme metabolism | 71.43 | 10 of 14 | ||
| 66794 | propanol degradation | 71.43 | 5 of 7 | ||
| 66794 | non-pathway related | 71.05 | 27 of 38 | ||
| 66794 | lipid metabolism | 70.97 | 22 of 31 | ||
| 66794 | glycolysis | 70.59 | 12 of 17 | ||
| 66794 | purine metabolism | 70.21 | 66 of 94 | ||
| 66794 | vitamin B1 metabolism | 69.23 | 9 of 13 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 69.23 | 9 of 13 | ||
| 66794 | pyrimidine metabolism | 68.89 | 31 of 45 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | lipid A biosynthesis | 66.67 | 6 of 9 | ||
| 66794 | glycolate and glyoxylate degradation | 66.67 | 4 of 6 | ||
| 66794 | selenocysteine biosynthesis | 66.67 | 4 of 6 | ||
| 66794 | aspartate and asparagine metabolism | 66.67 | 6 of 9 | ||
| 66794 | acetyl CoA biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | CO2 fixation in Crenarchaeota | 66.67 | 6 of 9 | ||
| 66794 | 4-hydroxymandelate degradation | 66.67 | 6 of 9 | ||
| 66794 | flavin biosynthesis | 66.67 | 10 of 15 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | methionine metabolism | 65.38 | 17 of 26 | ||
| 66794 | metabolism of disaccharids | 63.64 | 7 of 11 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | urea cycle | 61.54 | 8 of 13 | ||
| 66794 | isoprenoid biosynthesis | 61.54 | 16 of 26 | ||
| 66794 | tryptophan metabolism | 60.53 | 23 of 38 | ||
| 66794 | factor 420 biosynthesis | 60 | 3 of 5 | ||
| 66794 | methanofuran biosynthesis | 60 | 3 of 5 | ||
| 66794 | methanogenesis from CO2 | 58.33 | 7 of 12 | ||
| 66794 | cysteine metabolism | 55.56 | 10 of 18 | ||
| 66794 | nitrate assimilation | 55.56 | 5 of 9 | ||
| 66794 | histidine metabolism | 55.17 | 16 of 29 | ||
| 66794 | cholesterol biosynthesis | 54.55 | 6 of 11 | ||
| 66794 | arginine metabolism | 54.17 | 13 of 24 | ||
| 66794 | ketogluconate metabolism | 50 | 4 of 8 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | ribulose monophosphate pathway | 50 | 1 of 2 | ||
| 66794 | lysine metabolism | 50 | 21 of 42 | ||
| 66794 | aminopropanol phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | dTDPLrhamnose biosynthesis | 50 | 4 of 8 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 50 | 6 of 12 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | tyrosine metabolism | 50 | 7 of 14 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | sulfate reduction | 46.15 | 6 of 13 | ||
| 66794 | d-xylose degradation | 45.45 | 5 of 11 | ||
| 66794 | androgen and estrogen metabolism | 43.75 | 7 of 16 | ||
| 66794 | polyamine pathway | 43.48 | 10 of 23 | ||
| 66794 | glycine betaine biosynthesis | 40 | 2 of 5 | ||
| 66794 | vitamin K metabolism | 40 | 2 of 5 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | hydrogen production | 40 | 2 of 5 | ||
| 66794 | coenzyme M biosynthesis | 40 | 4 of 10 | ||
| 66794 | lipoate biosynthesis | 40 | 2 of 5 | ||
| 66794 | 3-chlorocatechol degradation | 40 | 2 of 5 | ||
| 66794 | gallate degradation | 40 | 2 of 5 | ||
| 66794 | degradation of hexoses | 38.89 | 7 of 18 | ||
| 66794 | bile acid biosynthesis, neutral pathway | 35.29 | 6 of 17 | ||
| 66794 | sphingosine metabolism | 33.33 | 2 of 6 | ||
| 66794 | methane metabolism | 33.33 | 1 of 3 | ||
| 66794 | sulfoquinovose degradation | 33.33 | 1 of 3 | ||
| 66794 | allantoin degradation | 33.33 | 3 of 9 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | enterobactin biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | arachidonic acid metabolism | 33.33 | 6 of 18 | ||
| 66794 | degradation of pentoses | 32.14 | 9 of 28 | ||
| 66794 | phenylpropanoid biosynthesis | 30.77 | 4 of 13 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 30 | 3 of 10 | ||
| 66794 | benzoyl-CoA degradation | 28.57 | 2 of 7 | ||
| 66794 | ascorbate metabolism | 27.27 | 6 of 22 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | CMP-KDO biosynthesis | 25 | 1 of 4 | ||
| 66794 | degradation of sugar alcohols | 25 | 4 of 16 | ||
| 66794 | vitamin E metabolism | 25 | 1 of 4 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Condition | #Acidic | - | |
| #Condition | #Psychrophilic (<10°C) | - | |
| #Environmental | #Terrestrial | #Wetland (Swamp) | |
| #Host | #Plants | #Peat moss | |
| #Climate | #Cold | #Tundra |
Global distribution of 16S sequence AJ555244 (>99% sequence identity) for Methylocella tundrae from Microbeatlas ![]()
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Diversity and Habitat Preferences of Cultivated and Uncultivated Aerobic Methanotrophic Bacteria Evaluated Based on pmoA as Molecular Marker. | Knief C. | Front Microbiol | 10.3389/fmicb.2015.01346 | 2015 | |
| Nitrous oxide respiration in acidophilic methanotrophs. | Awala SI, Gwak JH, Kim Y, Jung MY, Dunfield PF, Wagner M, Rhee SK. | Nat Commun | 10.1038/s41467-024-48161-z | 2024 | ||
| Synthetic design of methanotroph co-cultures and their immobilization within polymers containing magnetic nanoparticles to enhance methanol production from wheat straw-based biogas. | Patel SKS, Gupta RK, Kalia VC, Lee JK. | Bioresour Technol | 10.1016/j.biortech.2022.128032 | 2022 | ||
| Integrating anaerobic digestion of potato peels to methanol production by methanotrophs immobilized on banana leaves. | Patel SKS, Gupta RK, Kalia VC, Lee JK. | Bioresour Technol | 10.1016/j.biortech.2020.124550 | 2021 | ||
| Methanol production from simulated biogas mixtures by co-immobilized Methylomonas methanica and Methylocella tundrae. | Patel SKS, Kumar V, Mardina P, Li J, Lestari R, Kalia VC, Lee JK. | Bioresour Technol | 10.1016/j.biortech.2018.04.096 | 2018 | ||
| Metabolism | Hierarchical Macroporous Particles for Efficient Whole-Cell Immobilization: Application in Bioconversion of Greenhouse Gases to Methanol. | Patel SKS, Jeon MS, Gupta RK, Jeon Y, Kalia VC, Kim SC, Cho BK, Kim DR, Lee JK. | ACS Appl Mater Interfaces | 10.1021/acsami.9b03420 | 2019 | |
| Phylogeny | From genome to evolution: investigating type II methylotrophs using a pangenomic analysis. | Samanta D, Rauniyar S, Saxena P, Sani RK. | mSystems | 10.1128/msystems.00248-24 | 2024 | |
| Acidophilic methanotrophs: Occurrence, diversity, and possible bioremediation applications. | Hwangbo M, Shao Y, Hatzinger PB, Chu KH. | Environ Microbiol Rep | 10.1111/1758-2229.13156 | 2023 | ||
| Biological methanol production by immobilized Methylocella tundrae using simulated biohythane as a feed. | Patel SKS, Singh RK, Kumar A, Jeong JH, Jeong SH, Kalia VC, Kim IW, Lee JK. | Bioresour Technol | 10.1016/j.biortech.2017.05.160 | 2017 | ||
| Metabolism | Facultative methanotrophs - diversity, genetics, molecular ecology and biotechnological potential: a mini-review. | Farhan Ul Haque M, Xu HJ, Murrell JC, Crombie A. | Microbiology (Reading) | 10.1099/mic.0.000977 | 2020 | |
| Metabolism | Potential of Immobilized Whole-Cell Methylocella tundrae as a Biocatalyst for Methanol Production from Methane. | Mardina P, Li J, Patel SK, Kim IW, Lee JK, Selvaraj C. | J Microbiol Biotechnol | 10.4014/jmb.1602.02074 | 2016 | |
| Genetics | Targeted metagenomics using probe capture detect a larger diversity of nitrogen and methane cycling genes in complex microbial communities than traditional metagenomics. | Siljanen HMP, Manoharan L, Hilts AS, Bagnoud A, Alves RJE, Jones CM, Kerou M, Sousa FL, Hallin S, Biasi C, Schleper C. | ISME Commun | 10.1093/ismeco/ycaf183 | 2025 | |
| Biomethanol Production from Methane by Immobilized Co-cultures of Methanotrophs. | Patel SKS, Gupta RK, Kumar V, Kondaveeti S, Kumar A, Das D, Kalia VC, Lee JK. | Indian J Microbiol | 10.1007/s12088-020-00883-6 | 2020 | ||
| Biosynthesis of Lactobionic Acid in Whey-Containing Medium by Microencapsulated and Free Bacteria of Pseudomonas taetrolens. | Goderska K. | Indian J Microbiol | 10.1007/s12088-021-00944-4 | 2021 | ||
| Universal activity-based labeling method for ammonia- and alkane-oxidizing bacteria. | Sakoula D, Smith GJ, Frank J, Mesman RJ, Kop LFM, Blom P, Jetten MSM, van Kessel MAHJ, Lucker S. | ISME J | 10.1038/s41396-021-01144-0 | 2022 | ||
| Metabolism | Novel facultative Methylocella strains are active methane consumers at terrestrial natural gas seeps. | Farhan Ul Haque M, Crombie AT, Murrell JC. | Microbiome | 10.1186/s40168-019-0741-3 | 2019 | |
| Phylogeny | Facultative methanotrophs are abundant at terrestrial natural gas seeps. | Farhan Ul Haque M, Crombie AT, Ensminger SA, Baciu C, Murrell JC. | Microbiome | 10.1186/s40168-018-0500-x | 2018 | |
| Metabolism | Development and Optimization of the Biological Conversion of Ethane to Ethanol Using Whole-Cell Methanotrophs Possessing Methane Monooxygenase. | Oh SH, Hwang IY, Lee OK, Won W, Lee EY. | Molecules | 10.3390/molecules24030591 | 2019 | |
| Metabolism | Aerobic methanotrophic bacteria of cold ecosystems. | Trotsenko YA, Khmelenina VN. | FEMS Microbiol Ecol | 10.1016/j.femsec.2005.02.010 | 2005 | |
| Metabolism | [The processes of methane formation and oxidation in the soils of the Russian arctic tundra]. | Berestovskaia IuIu, Rusanov II, Vasil'eva LV, Pimenov NV. | Mikrobiologiia | 10.1007/s11021-005-0055-2 | 2005 | |
| Biotransformation of Methane and Carbon Dioxide Into High-Value Products by Methanotrophs: Current State of Art and Future Prospects. | Sahoo KK, Goswami G, Das D. | Front Microbiol | 10.3389/fmicb.2021.636486 | 2021 | ||
| Sulfur and methane oxidation by a single microorganism. | Gwak JH, Awala SI, Nguyen NL, Yu WJ, Yang HY, von Bergen M, Jehmlich N, Kits KD, Loy A, Dunfield PF, Dahl C, Hyun JH, Rhee SK. | Proc Natl Acad Sci U S A | 10.1073/pnas.2114799119 | 2022 | ||
| Metabolism | Practical application of methanol-mediated mutualistic symbiosis between Methylobacterium species and a roof greening moss, Racomitrium japonicum. | Tani A, Takai Y, Suzukawa I, Akita M, Murase H, Kimbara K. | PLoS One | 10.1371/journal.pone.0033800 | 2012 | |
| Metabolism | Lanthanide-Dependent Methylotrophs of the Family Beijerinckiaceae: Physiological and Genomic Insights. | Wegner CE, Gorniak L, Riedel S, Westermann M, Kusel K. | Appl Environ Microbiol | 10.1128/aem.01830-19 | 2019 | |
| Metabolism | The hunt for the most-wanted chemolithoautotrophic spookmicrobes. | In 't Zandt MH, de Jong AE, Slomp CP, Jetten MS. | FEMS Microbiol Ecol | 10.1093/femsec/fiy064 | 2018 | |
| Phylogeny | Profiling bacterial diversity in a limestone cave of the western Loess Plateau of China. | Wu Y, Tan L, Liu W, Wang B, Wang J, Cai Y, Lin X. | Front Microbiol | 10.3389/fmicb.2015.00244 | 2015 | |
| Genetics | The genomic landscape of the verrucomicrobial methanotroph Methylacidiphilum fumariolicum SolV. | Anvar SY, Frank J, Pol A, Schmitz A, Kraaijeveld K, den Dunnen JT, Op den Camp HJ. | BMC Genomics | 10.1186/1471-2164-15-914 | 2014 | |
| Metabolism | Gammaproteobacterial methanotrophs dominate cold methane seeps in floodplains of West Siberian rivers. | Oshkin IY, Wegner CE, Luke C, Glagolev MV, Filippov IV, Pimenov NV, Liesack W, Dedysh SN. | Appl Environ Microbiol | 10.1128/aem.01539-14 | 2014 | |
| Phylogeny | The methanol dehydrogenase gene, mxaF, as a functional and phylogenetic marker for proteobacterial methanotrophs in natural environments. | Lau E, Fisher MC, Steudler PA, Cavanaugh CM. | PLoS One | 10.1371/journal.pone.0056993 | 2013 | |
| Phylogeny | Diversity and functional analysis of bacterial communities associated with natural hydrocarbon seeps in acidic soils at Rainbow Springs, Yellowstone National Park. | Hamamura N, Olson SH, Ward DM, Inskeep WP. | Appl Environ Microbiol | 10.1128/aem.71.10.5943-5950.2005 | 2005 | |
| Phylogeny | Methylocella tundrae sp. nov., a novel methanotrophic bacterium from acidic tundra peatlands. | Dedysh SN, Berestovskaya YY, Vasylieva LV, Belova SE, Khmelenina VN, Suzina NE, Trotsenko YA, Liesack W, Zavarzin GA | Int J Syst Evol Microbiol | 10.1099/ijs.0.02805-0 | 2004 |
| #6027 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 15673 |
| #20215 | Parte, A.C., Sardà Carbasse, J., Meier-Kolthoff, J.P., Reimer, L.C. and Göker, M.: List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ. IJSEM ( DOI 10.1099/ijsem.0.004332 ) |
| #23150 | Svetlana N. Dedysh, Yulia Y. Berestovskaya, Lina V. Vasylieva, Svetlana E. Belova, Valentina N. Khmelenina, Natalia E. Suzina, Yuri A. Trotsenko, Werner Liesack, George A. Zavarzin: Methylocella tundrae sp. nov., a novel methanotrophic bacterium from acidic tundra peatlands. IJSEM 54: 151 - 156 2004 ( DOI 10.1099/ijs.0.02805-0 , PubMed 14742473 ) |
| #66794 | Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 ) |
| #69479 | João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta . |
| #126262 | A. Lissin, I. Schober, J. F. Witte, H. Lüken, A. Podstawka, J. Koblitz, B. Bunk, P. Dawyndt, P. Vandamme, P. de Vos, J. Overmann, L. C. Reimer: StrainInfo—the central database for linked microbial strain identifiers. ( DOI 10.1093/database/baaf059 ) |
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