Methylocystis bryophila H2s is an aerobe, Gram-negative, coccus-shaped bacterium that was isolated from Sphagnum peat, bank of a bog lake.
Gram-negative coccus-shaped aerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Hyphomicrobiales |
| Family Methylocystaceae |
| Genus Methylocystis |
| Species Methylocystis bryophila |
| Full scientific name Methylocystis bryophila Belova et al. 2013 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 15991 | METHYLOCYSTIS MEDIUM (DSMZ Medium 1409) | Medium recipe at MediaDive | Name: METHYLOCYSTIS MEDIUM (DSMZ Medium 1409) Composition: KNO3 0.2 g/l KH2PO4 0.1 g/l MgSO4 x 7 H2O 0.05 g/l CaCl2 x 2 H2O 0.01 g/l NaCl 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 ZnSO4 x 7 H2O 0.0001 g/l CuCl2 x 5 H2O 0.0001 g/l Na2MoO4 3e-05 g/l NiCl2 x 6 H2O 2e-05 g/l Distilled water |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | C4 and CAM-carbon fixation | 100 | 8 of 8 | ||
| 66794 | hydrogen production | 100 | 5 of 5 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | lactate fermentation | 100 | 4 of 4 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | sulfopterin metabolism | 100 | 4 of 4 | ||
| 66794 | photosynthesis | 100 | 14 of 14 | ||
| 66794 | ceramide biosynthesis | 100 | 1 of 1 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | acetate fermentation | 100 | 4 of 4 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | butanoate fermentation | 100 | 4 of 4 | ||
| 66794 | biotin biosynthesis | 100 | 4 of 4 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | vitamin B12 metabolism | 94.12 | 32 of 34 | ||
| 66794 | phenylalanine metabolism | 92.31 | 12 of 13 | ||
| 66794 | pentose phosphate pathway | 90.91 | 10 of 11 | ||
| 66794 | threonine metabolism | 90 | 9 of 10 | ||
| 66794 | molybdenum cofactor biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | valine metabolism | 88.89 | 8 of 9 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | lipid A biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | aspartate and asparagine metabolism | 88.89 | 8 of 9 | ||
| 66794 | NAD metabolism | 88.89 | 16 of 18 | ||
| 66794 | CO2 fixation in Crenarchaeota | 88.89 | 8 of 9 | ||
| 66794 | isoleucine metabolism | 87.5 | 7 of 8 | ||
| 66794 | gluconeogenesis | 87.5 | 7 of 8 | ||
| 66794 | flavin biosynthesis | 86.67 | 13 of 15 | ||
| 66794 | ubiquinone biosynthesis | 85.71 | 6 of 7 | ||
| 66794 | tyrosine metabolism | 85.71 | 12 of 14 | ||
| 66794 | propanol degradation | 85.71 | 6 of 7 | ||
| 66794 | leucine metabolism | 84.62 | 11 of 13 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | ethylmalonyl-CoA pathway | 80 | 4 of 5 | ||
| 66794 | glycogen metabolism | 80 | 4 of 5 | ||
| 66794 | methanofuran biosynthesis | 80 | 4 of 5 | ||
| 66794 | heme metabolism | 78.57 | 11 of 14 | ||
| 66794 | citric acid cycle | 78.57 | 11 of 14 | ||
| 66794 | glutamate and glutamine metabolism | 78.57 | 22 of 28 | ||
| 66794 | tetrahydrofolate metabolism | 78.57 | 11 of 14 | ||
| 66794 | serine metabolism | 77.78 | 7 of 9 | ||
| 66794 | vitamin B1 metabolism | 76.92 | 10 of 13 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 76.92 | 10 of 13 | ||
| 66794 | sulfate reduction | 76.92 | 10 of 13 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | methionine metabolism | 73.08 | 19 of 26 | ||
| 66794 | vitamin B6 metabolism | 72.73 | 8 of 11 | ||
| 66794 | alanine metabolism | 72.41 | 21 of 29 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | reductive acetyl coenzyme A pathway | 71.43 | 5 of 7 | ||
| 66794 | glycolysis | 70.59 | 12 of 17 | ||
| 66794 | propionate fermentation | 70 | 7 of 10 | ||
| 66794 | purine metabolism | 69.15 | 65 of 94 | ||
| 66794 | histidine metabolism | 68.97 | 20 of 29 | ||
| 66794 | tryptophan metabolism | 68.42 | 26 of 38 | ||
| 66794 | non-pathway related | 68.42 | 26 of 38 | ||
| 66794 | lipid metabolism | 67.74 | 21 of 31 | ||
| 66794 | cyanate degradation | 66.67 | 2 of 3 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | d-mannose degradation | 66.67 | 6 of 9 | ||
| 66794 | acetyl CoA biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | glycolate and glyoxylate degradation | 66.67 | 4 of 6 | ||
| 66794 | methanogenesis from CO2 | 66.67 | 8 of 12 | ||
| 66794 | nitrate assimilation | 66.67 | 6 of 9 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | glutathione metabolism | 64.29 | 9 of 14 | ||
| 66794 | proline metabolism | 63.64 | 7 of 11 | ||
| 66794 | d-xylose degradation | 63.64 | 7 of 11 | ||
| 66794 | dTDPLrhamnose biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | cysteine metabolism | 61.11 | 11 of 18 | ||
| 66794 | Entner Doudoroff pathway | 60 | 6 of 10 | ||
| 66794 | glycine metabolism | 60 | 6 of 10 | ||
| 66794 | phenylacetate degradation (aerobic) | 60 | 3 of 5 | ||
| 66794 | lipoate biosynthesis | 60 | 3 of 5 | ||
| 66794 | lysine metabolism | 59.52 | 25 of 42 | ||
| 66794 | arginine metabolism | 58.33 | 14 of 24 | ||
| 66794 | isoprenoid biosynthesis | 57.69 | 15 of 26 | ||
| 66794 | degradation of sugar alcohols | 56.25 | 9 of 16 | ||
| 66794 | urea cycle | 53.85 | 7 of 13 | ||
| 66794 | 3-phenylpropionate degradation | 53.33 | 8 of 15 | ||
| 66794 | pyrimidine metabolism | 53.33 | 24 of 45 | ||
| 66794 | oxidative phosphorylation | 52.75 | 48 of 91 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 50 | 4 of 8 | ||
| 66794 | CMP-KDO biosynthesis | 50 | 2 of 4 | ||
| 66794 | mannosylglycerate biosynthesis | 50 | 1 of 2 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | ribulose monophosphate pathway | 50 | 1 of 2 | ||
| 66794 | aminopropanol phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | ketogluconate metabolism | 50 | 4 of 8 | ||
| 66794 | quinate degradation | 50 | 1 of 2 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 50 | 6 of 12 | ||
| 66794 | sphingosine metabolism | 50 | 3 of 6 | ||
| 66794 | starch degradation | 50 | 5 of 10 | ||
| 66794 | phenylpropanoid biosynthesis | 46.15 | 6 of 13 | ||
| 66794 | metabolism of disaccharids | 45.45 | 5 of 11 | ||
| 66794 | androgen and estrogen metabolism | 43.75 | 7 of 16 | ||
| 66794 | polyamine pathway | 43.48 | 10 of 23 | ||
| 66794 | degradation of pentoses | 42.86 | 12 of 28 | ||
| 66794 | 3-chlorocatechol degradation | 40 | 2 of 5 | ||
| 66794 | factor 420 biosynthesis | 40 | 2 of 5 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | coenzyme M biosynthesis | 40 | 4 of 10 | ||
| 66794 | carnitine metabolism | 37.5 | 3 of 8 | ||
| 66794 | ascorbate metabolism | 36.36 | 8 of 22 | ||
| 66794 | 4-hydroxymandelate degradation | 33.33 | 3 of 9 | ||
| 66794 | enterobactin biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | selenocysteine biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | degradation of hexoses | 33.33 | 6 of 18 | ||
| 66794 | sulfoquinovose degradation | 33.33 | 1 of 3 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | degradation of sugar acids | 32 | 8 of 25 | ||
| 66794 | myo-inositol biosynthesis | 30 | 3 of 10 | ||
| 66794 | phenol degradation | 30 | 6 of 20 | ||
| 66794 | aclacinomycin biosynthesis | 28.57 | 2 of 7 | ||
| 66794 | benzoyl-CoA degradation | 28.57 | 2 of 7 | ||
| 66794 | arachidonic acid metabolism | 27.78 | 5 of 18 | ||
| 66794 | carotenoid biosynthesis | 27.27 | 6 of 22 | ||
| 66794 | cholesterol biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | catecholamine biosynthesis | 25 | 1 of 4 | ||
| 66794 | vitamin E metabolism | 25 | 1 of 4 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | bile acid biosynthesis, neutral pathway | 23.53 | 4 of 17 | ||
| 66794 | daunorubicin biosynthesis | 22.22 | 2 of 9 |
| @ref | Sample type | Host species | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|---|
| 15991 | Sphagnum peat, bank of a bog lake | Sphagnum | north eastern Germany, lake Teufelssee | Germany | DEU | Europe |
Global distribution of 16S sequence FN422003 (>99% sequence identity) for Methylocystis bryophila subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 124043 | ASM2792544v1 assembly for Methylocystis bryophila DSM 21852 | complete | 655015 | 91.65 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 15991 | Methylocystis bryophila partial 16S rRNA gene, type strain H2sT | FN422003 | 1427 | 655015 |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Enzymology | Hydrogen Oxidation Benefits Alphaproteobacterial Methanotrophs Under Severe Methane Limitation. | Peterse IF, Pol A, Cremers G, Berben T, van Alen TA, Op den Camp HJM, Veraart AJ, Lucker S. | Environ Microbiol | 10.1111/1462-2920.70163 | 2025 | |
| 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 | |
| Bentazone stress resistance in Methylocystis-Tetradesmus symbiosis: Biochemical and communicative exchanges. | Lu YZ, Di C, Sun J, Wang L, Li X, Zhu GC. | Bioresour Technol | 10.1016/j.biortech.2025.133053 | 2025 | ||
| Metabolism | Light-dependent enhancement of sulfadiazine detoxification and mineralization by non-photosynthetic methanotrophs. | Wang Y, Lu Y, Li X, Zhu G, Li N, Han J, Sun L, Yang Z, Zeng RJ. | Water Res | 10.1016/j.watres.2022.118623 | 2022 | |
| Mixotrophic Cultivation of Microalgae Using Biogas as the Substrate. | Li X, Lu Y, Li N, Wang Y, Yu R, Zhu G, Zeng RJ. | Environ Sci Technol | 10.1021/acs.est.1c06831 | 2022 | ||
| 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 | |
| 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 | ||
| Effects of different proportions of organic substitution for mineral fertilizers on soil methanogenic and methanotrophic communities in paddy fields. | Yuan D, Dang K, Yin J, Liu H, Ma T, Liu J, Xiang X. | PeerJ | 10.7717/peerj.19000 | 2025 | ||
| Biotransformation of methane into methanol by methanotrophs immobilized on coconut coir. | Patel SKS, Kalia VC, Joo JB, Kang YC, Lee JK. | Bioresour Technol | 10.1016/j.biortech.2019.122433 | 2020 | ||
| Encapsulation of Methanotrophs within a Polymeric Matrix Containing Copper- and Iron-Based Nanoparticles to Enhance Methanol Production from a Simulated Biogas. | Patel SKS, Gupta RK, Kim IW, Lee JK. | Polymers (Basel) | 10.3390/polym15183667 | 2023 | ||
| DSOF: A Rapid Method to Determine the Abundance of Microalgae and Methanotrophic Bacteria in Coculture Using a Combination of Differential Sedimentation, Optical Density, and Fluorescence. | Cartin-Caballero C, Collet C, Gapes D, Gostomski PA, Stott MB, Carere CR. | Bioengineering (Basel) | 10.3390/bioengineering12091000 | 2025 | ||
| 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 | ||
| Genetics | Unusual Genomic Traits Suggest Methylocystis bryophila S285 to Be Well Adapted for Life in Peatlands. | Han D, Dedysh SN, Liesack W. | Genome Biol Evol | 10.1093/gbe/evy025 | 2018 | |
| Metabolism | Biological Methanol Production by a Type II Methanotroph Methylocystis bryophila. | Patel SK, Mardina P, Kim SY, Lee JK, Kim IW. | J Microbiol Biotechnol | 10.4014/jmb.1601.01013 | 2016 | |
| 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 | ||
| Phylogeny | Isolation of methanotrophic bacteria from termite gut. | Reuss J, Rachel R, Kampfer P, Rabenstein A, Kuver J, Droge S, Konig H. | Microbiol Res | 10.1016/j.micres.2015.06.003 | 2015 | |
| 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 | |
| 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 | ||
| Grazing exclusion alters soil methane flux and methanotrophic and methanogenic communities in alpine meadows on the Qinghai-Tibet Plateau. | Wang S, Chen X, Li W, Gong W, Wang Z, Cao W. | Front Microbiol | 10.3389/fmicb.2023.1293720 | 2023 | ||
| How methanotrophs respond to pH: A review of ecophysiology. | Yao X, Wang J, Hu B. | Front Microbiol | 10.3389/fmicb.2022.1034164 | 2022 | ||
| Comparative genomic analysis of Methylocystis sp. MJC1 as a platform strain for polyhydroxybutyrate biosynthesis. | Naizabekov S, Hyun SW, Na JG, Yoon S, Lee OK, Lee EY. | PLoS One | 10.1371/journal.pone.0284846 | 2023 | ||
| A Novel Laboratory-Scale Mesocosm Setup to Study Methane Emission Mitigation by Sphagnum Mosses and Associated Methanotrophs. | Kox MAR, Smolders AJP, Speth DR, Lamers LPM, Op den Camp HJM, Jetten MSM, van Kessel MAHJ. | Front Microbiol | 10.3389/fmicb.2021.651103 | 2021 | ||
| Genetics | Genomic Insights Into the Acid Adaptation of Novel Methanotrophs Enriched From Acidic Forest Soils. | Nguyen NL, Yu WJ, Gwak JH, Kim SJ, Park SJ, Herbold CW, Kim JG, Jung MY, Rhee SK. | Front Microbiol | 10.3389/fmicb.2018.01982 | 2018 | |
| Phylogeny | Methylocystis bryophila sp. nov., a facultatively methanotrophic bacterium from acidic Sphagnum peat, and emended description of the genus Methylocystis (ex Whittenbury et al. 1970) Bowman et al. 1993. | Belova SE, Kulichevskaya IS, Bodelier PLE, Dedysh SN | Int J Syst Evol Microbiol | 10.1099/ijs.0.043505-0 | 2012 |
| #15991 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 21852 |
| #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 ) |
| #27074 | IJSEM 1096 2013 ( DOI 10.1099/ijs.0.043505-0 , PubMed 22707532 ) |
| #30743 | Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #27074 |
| #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 . |
| #124043 | Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy . |
| #125439 | Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardy: deepG: Deep Learning for Genome Sequence Data. R package version 0.3.1 . |
| #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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