Methylobrevis pamukkalensis PK2 is an aerobe bacterium that was isolated from water of a saline hotspring.
aerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Hyphomicrobiales |
| Family Pleomorphomonadaceae |
| Genus Methylobrevis |
| Species Methylobrevis pamukkalensis |
| Full scientific name Methylobrevis pamukkalensis Poroshina et al. 2015 |
| 63223 | Incubation period5 days |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 42697 | MEDIUM K (DSMZ Medium 1122) | Medium recipe at MediaDive | Name: MEDIUM K (DSMZ Medium 1122) Composition: Agar 20.0 g/l KH2PO4 2.0 g/l (NH4)2SO4 2.0 g/l NaCl 0.5 g/l MgSO4 x 7 H2O 0.125 g/l FeSO4 x 7 H2O 0.002 g/l Methanol Distilled water |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 94.93 |
| 67770 | Observationquinones: Q-10 |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | gluconeogenesis | 100 | 8 of 8 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | reductive acetyl coenzyme A pathway | 100 | 7 of 7 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | sulfopterin metabolism | 100 | 4 of 4 | ||
| 66794 | glycogen metabolism | 100 | 5 of 5 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | Entner Doudoroff pathway | 100 | 10 of 10 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | valine metabolism | 100 | 9 of 9 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | C4 and CAM-carbon fixation | 100 | 8 of 8 | ||
| 66794 | cardiolipin biosynthesis | 100 | 7 of 7 | ||
| 66794 | photosynthesis | 92.86 | 13 of 14 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 91.67 | 11 of 12 | ||
| 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 | NAD metabolism | 88.89 | 16 of 18 | ||
| 66794 | lipid A biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | serine metabolism | 88.89 | 8 of 9 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | CO2 fixation in Crenarchaeota | 88.89 | 8 of 9 | ||
| 66794 | aspartate and asparagine metabolism | 88.89 | 8 of 9 | ||
| 66794 | isoleucine metabolism | 87.5 | 7 of 8 | ||
| 66794 | peptidoglycan biosynthesis | 86.67 | 13 of 15 | ||
| 66794 | tetrahydrofolate metabolism | 85.71 | 12 of 14 | ||
| 66794 | vitamin B12 metabolism | 85.29 | 29 of 34 | ||
| 66794 | phenylalanine metabolism | 84.62 | 11 of 13 | ||
| 66794 | alanine metabolism | 82.76 | 24 of 29 | ||
| 66794 | ethylmalonyl-CoA pathway | 80 | 4 of 5 | ||
| 66794 | 3-chlorocatechol degradation | 80 | 4 of 5 | ||
| 66794 | methanofuran biosynthesis | 80 | 4 of 5 | ||
| 66794 | glycine betaine biosynthesis | 80 | 4 of 5 | ||
| 66794 | histidine metabolism | 79.31 | 23 of 29 | ||
| 66794 | glutamate and glutamine metabolism | 78.57 | 22 of 28 | ||
| 66794 | allantoin degradation | 77.78 | 7 of 9 | ||
| 66794 | vitamin B1 metabolism | 76.92 | 10 of 13 | ||
| 66794 | purine metabolism | 75.53 | 71 of 94 | ||
| 66794 | biotin biosynthesis | 75 | 3 of 4 | ||
| 66794 | CMP-KDO biosynthesis | 75 | 3 of 4 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | ketogluconate metabolism | 75 | 6 of 8 | ||
| 66794 | degradation of pentoses | 75 | 21 of 28 | ||
| 66794 | dTDPLrhamnose biosynthesis | 75 | 6 of 8 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | degradation of sugar alcohols | 75 | 12 of 16 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | proline metabolism | 72.73 | 8 of 11 | ||
| 66794 | vitamin B6 metabolism | 72.73 | 8 of 11 | ||
| 66794 | ubiquinone biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | heme metabolism | 71.43 | 10 of 14 | ||
| 66794 | pyrimidine metabolism | 71.11 | 32 of 45 | ||
| 66794 | arginine metabolism | 70.83 | 17 of 24 | ||
| 66794 | propionate fermentation | 70 | 7 of 10 | ||
| 66794 | starch degradation | 70 | 7 of 10 | ||
| 66794 | urea cycle | 69.23 | 9 of 13 | ||
| 66794 | methionine metabolism | 69.23 | 18 of 26 | ||
| 66794 | leucine metabolism | 69.23 | 9 of 13 | ||
| 66794 | non-pathway related | 68.42 | 26 of 38 | ||
| 66794 | oxidative phosphorylation | 68.13 | 62 of 91 | ||
| 66794 | lipid metabolism | 67.74 | 21 of 31 | ||
| 66794 | acetyl CoA biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | flavin biosynthesis | 66.67 | 10 of 15 | ||
| 66794 | glycolate and glyoxylate degradation | 66.67 | 4 of 6 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | IAA biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | methane metabolism | 66.67 | 2 of 3 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | degradation of hexoses | 66.67 | 12 of 18 | ||
| 66794 | cyanate degradation | 66.67 | 2 of 3 | ||
| 66794 | tryptophan metabolism | 65.79 | 25 of 38 | ||
| 66794 | glycolysis | 64.71 | 11 of 17 | ||
| 66794 | citric acid cycle | 64.29 | 9 of 14 | ||
| 66794 | glutathione metabolism | 64.29 | 9 of 14 | ||
| 66794 | lysine metabolism | 61.9 | 26 of 42 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 61.54 | 8 of 13 | ||
| 66794 | phenylacetate degradation (aerobic) | 60 | 3 of 5 | ||
| 66794 | myo-inositol biosynthesis | 60 | 6 of 10 | ||
| 66794 | lipoate biosynthesis | 60 | 3 of 5 | ||
| 66794 | cellulose degradation | 60 | 3 of 5 | ||
| 66794 | methanogenesis from CO2 | 58.33 | 7 of 12 | ||
| 66794 | isoprenoid biosynthesis | 57.69 | 15 of 26 | ||
| 66794 | propanol degradation | 57.14 | 4 of 7 | ||
| 66794 | polyamine pathway | 56.52 | 13 of 23 | ||
| 66794 | cysteine metabolism | 55.56 | 10 of 18 | ||
| 66794 | d-mannose degradation | 55.56 | 5 of 9 | ||
| 66794 | metabolism of disaccharids | 54.55 | 6 of 11 | ||
| 66794 | 3-phenylpropionate degradation | 53.33 | 8 of 15 | ||
| 66794 | cyclohexanol degradation | 50 | 2 of 4 | ||
| 66794 | ribulose monophosphate pathway | 50 | 1 of 2 | ||
| 66794 | aminopropanol phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | kanosamine biosynthesis II | 50 | 1 of 2 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 50 | 5 of 10 | ||
| 66794 | selenocysteine biosynthesis | 50 | 3 of 6 | ||
| 66794 | tyrosine metabolism | 50 | 7 of 14 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | butanoate fermentation | 50 | 2 of 4 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | quinate degradation | 50 | 1 of 2 | ||
| 66794 | phenol degradation | 45 | 9 of 20 | ||
| 66794 | degradation of sugar acids | 44 | 11 of 25 | ||
| 66794 | androgen and estrogen metabolism | 43.75 | 7 of 16 | ||
| 66794 | gallate degradation | 40 | 2 of 5 | ||
| 66794 | coenzyme M biosynthesis | 40 | 4 of 10 | ||
| 66794 | D-cycloserine biosynthesis | 40 | 2 of 5 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | creatinine degradation | 40 | 2 of 5 | ||
| 66794 | metabolism of amino sugars and derivatives | 40 | 2 of 5 | ||
| 66794 | hydrogen production | 40 | 2 of 5 | ||
| 66794 | chlorophyll metabolism | 38.89 | 7 of 18 | ||
| 66794 | arachidonic acid metabolism | 38.89 | 7 of 18 | ||
| 66794 | carnitine metabolism | 37.5 | 3 of 8 | ||
| 66794 | carotenoid biosynthesis | 36.36 | 8 of 22 | ||
| 66794 | d-xylose degradation | 36.36 | 4 of 11 | ||
| 66794 | pantothenate biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | sulfoquinovose degradation | 33.33 | 1 of 3 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | enterobactin biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | ascorbate metabolism | 31.82 | 7 of 22 | ||
| 66794 | sulfate reduction | 30.77 | 4 of 13 | ||
| 66794 | bile acid biosynthesis, neutral pathway | 29.41 | 5 of 17 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | alginate biosynthesis | 25 | 1 of 4 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | nitrate assimilation | 22.22 | 2 of 9 | ||
| 66794 | 4-hydroxymandelate degradation | 22.22 | 2 of 9 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Condition | #Saline | - | |
| #Condition | #Thermophilic (>45°C) | - | |
| #Environmental | #Aquatic | #Thermal spring |
Global distribution of 16S sequence KF683074 (>99% sequence identity) for Methylobrevis pamukkalensis subclade from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 42697 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | MpPK2_01 assembly for Methylobrevis pamukkalensis PK2 | contig | 1439726 | 0 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 42697 | Methylobrevis pamukkalensis strain PK2 16S ribosomal RNA gene, partial sequence | KF683074 | 1367 | 1439726 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 42697 | 67.9 | thermal denaturation, midpoint method (Tm) |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| 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 | |
| Refining the taxonomy of the order Hyphomicrobiales (Rhizobiales) based on whole genome comparisons of over 130 type strains. | diCenzo GC, Yang Y, Young JPW, Kuzmanovic N. | Int J Syst Evol Microbiol | 10.1099/ijsem.0.006328 | 2024 | ||
| Genetics | Sequencing and de novo assembly of the Koshihikari genome and identification of the genomic region related to the eating quality of cooked rice. | Lee YK, Lee Y, Jang S, Lee T, Woo MO, Seo J, Kim B, Koh HJ. | Mol Breed | 10.1007/s11032-022-01335-3 | 2022 | |
| Genetics | Analysis of 1,000+ Type-Strain Genomes Substantially Improves Taxonomic Classification of Alphaproteobacteria. | Hordt A, Lopez MG, Meier-Kolthoff JP, Schleuning M, Weinhold LM, Tindall BJ, Gronow S, Kyrpides NC, Woyke T, Goker M. | Front Microbiol | 10.3389/fmicb.2020.00468 | 2020 | |
| Phylogeny | Methylobrevis albus sp. nov., isolated from freshwater lake sediment. | Zou QH, Feng X, Wang TJ, Du ZJ | Arch Microbiol | 10.1007/s00203-021-02442-z | 2021 | |
| Phylogeny | Methylobrevis pamukkalensis gen. nov., sp. nov., a halotolerant restricted facultative methylotroph isolated from saline water. | Poroshina MN, Trotsenko YA, Doronina NV | Int J Syst Evol Microbiol | 10.1099/ijs.0.000105 | 2015 |
| #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 ) |
| #42697 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 29599 |
| #63223 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 65431 |
| #66792 | Julia Koblitz, Joaquim Sardà, Lorenz Christian Reimer, Boyke Bunk, Jörg Overmann: Automatically annotated for the DiASPora project (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information) . |
| #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 ) |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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 . |
| #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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