Methylorubrum suomiense F20 is an aerobe bacterium that was isolated from forest soil near Lammi biological station.
aerobe genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Hyphomicrobiales |
| Family Methylobacteriaceae |
| Genus Methylorubrum |
| Species Methylorubrum suomiense |
| Full scientific name Methylorubrum suomiense (Doronina et al. 2002) Green and Ardley 2018 |
| Synonyms (1) |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125438 | negative | 98.315 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 5363 | MEDIUM FOR DSM 14457 AND 14458 (DSMZ Medium 956) | Medium recipe at MediaDive | Name: MEDIUM FOR DSM 14457 AND 14458 (DSMZ Medium 956) Composition: Methanol 5.0 g/l Methylamine 3.0 g/l (NH4)2SO4 2.0 g/l KH2PO4 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 Distilled water | ||
| 5363 | NUTRIENT AGAR (DSMZ Medium 1) | Medium recipe at MediaDive | Name: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water |
| 60786 | Oxygen toleranceaerobe |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Terrestrial | #Forest | |
| #Environmental | #Terrestrial | #Soil |
Global distribution of 16S sequence AB175645 (>99% sequence identity) for Methylorubrum from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM2217976v1 assembly for Methylorubrum suomiense DSM 14458 | contig | 144191 | 64.11 | ||||
| 124043 | ASM4267984v1 assembly for Methylorubrum suomiense CCUG 55907 | scaffold | 144191 | 17.11 | ||||
| 124043 | ASM4266603v1 assembly for Methylorubrum suomiense CCUG 55907 | contig | 144191 | 8.66 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 5363 | 65.8 | thermal denaturation, midpoint method (Tm) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.32 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 94.45 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 83.64 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 87.03 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.50 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 74.85 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Review of the genus Methylobacterium and closely related organisms: a proposal that some Methylobacterium species be reclassified into a new genus, Methylorubrum gen. nov. | Green PN, Ardley JK | Int J Syst Evol Microbiol | 10.1099/ijsem.0.002856 | 2018 | |
| Phylogeny | Methylobacterium suomiense sp. nov. and Methylobacterium lusitanum sp. nov., aerobic, pink-pigmented, facultatively methylotrophic bacteria. | Doronina NV, Trotsenko YA, Kuznetsov BB, Tourova TP, Salkinoja-Salonen MS | Int J Syst Evol Microbiol | 10.1099/00207713-52-3-773 | 2002 |
| #5363 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 14458 |
| #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 ) |
| #20218 | Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 ) |
| #60786 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 55907 |
| #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) . |
| #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 . |
| #125438 | Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann: Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets. 2024 ( DOI 10.1101/2024.08.12.607695 ) |
| #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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