Methylorubrum zatmanii 135 is a Gram-negative, motile bacterium that was isolated from fermentor.
Gram-negative motile genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Hyphomicrobiales |
| Family Methylobacteriaceae |
| Genus Methylorubrum |
| Species Methylorubrum zatmanii |
| Full scientific name Methylorubrum zatmanii (Green et al. 1988) Green and Ardley 2018 |
| Synonyms (1) |
| BacDive ID | Other strains from Methylorubrum zatmanii (7) | Type strain |
|---|---|---|
| 163435 | M. zatmanii JCM 2819, NCIMB 10606 | |
| 163436 | M. zatmanii JCM 2820, NCIMB 10607 | |
| 163437 | M. zatmanii JCM 2821, NCIMB 10608 | |
| 163438 | M. zatmanii JCM 2822, NCIMB 10609 | |
| 163439 | M. zatmanii JCM 2823, NCIMB 10610 | |
| 163440 | M. zatmanii JCM 2824, NCIMB 10612 | |
| 163444 | M. zatmanii JCM 2825, NCIMB 10604 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 2285 | COLBY AND ZATHMAN MEDIUM (DSMZ Medium 606) | Medium recipe at MediaDive | Name: COLBY AND ZATHMAN MEDIUM (DSMZ Medium 606) Composition: Agar 15.0 g/l Methanol 1.584 g/l K2HPO4 1.2 g/l KH2PO4 0.62 g/l (NH4)2SO4 0.5 g/l MgSO4 x 7 H2O 0.2 g/l NaCl 0.1 g/l CaCl2 x 6 H2O 0.05 g/l FeCl3 x 6 H2O 0.001 g/l ZnSO4 x 7 H2O 7e-05 g/l Na2MoO4 x 2 H2O 1e-05 g/l H3BO3 1e-05 g/l MnSO4 x 5 H2O 1e-05 g/l CuSO4 x 5 H2O 5e-06 g/l CoCl2 x 6 H2O 5e-06 g/l Distilled water | ||
| 40783 | MEDIUM 53 - for Marinomonas and Methylobacterium (except Methylobacterium organophilum) | Distilled water make up to (1000.000 ml);Methanol (5.000 ml);Brain heartinfusion (37.000 g) | |||
| 124022 | CIP Medium 53 | Medium recipe at CIP |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | obligate aerobe | 93.461 |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 98.11 |
Global distribution of 16S sequence AB175647 (>99% sequence identity) for Methylorubrum from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 124043 | ASM4266034v1 assembly for Methylorubrum zatmanii CCUG 36916 | scaffold | 29429 | 55.37 | ||||
| 66792 | ASM1484511v1 assembly for Methylorubrum zatmanii LMG 6087 | contig | 29429 | 0 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 67770 | 70.3 | Buoyant density centrifugation (BD) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 93.46 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 76.62 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 41.70 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 98.11 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 96.82 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 95.68 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 89.06 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.50 | no |
| 125438 | aerobic | aerobicⓘ | yes | 79.14 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 72.09 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Aromatic acid metabolism in Methylobacterium extorquens reveals interplay between methylotrophic and heterotrophic pathways. | Govindaraju AM, Martinez-Gomez NC. | Appl Environ Microbiol | 10.1128/aem.00761-25 | 2025 | ||
| Transgenic Maize of ZmMYB3R Shapes Microbiome on Adaxial and Abaxial Surface of Leaves to Promote Disease Resistance. | Chao S, Zhang Y, Hu Y, Chen Y, Li P, Sun Y, Song L, Hu Y, Wang H, Wu J, Lv B. | Microorganisms | 10.3390/microorganisms13020362 | 2025 | ||
| Sierra Nevada sweep: metagenomic measurements of bioaerosols vertically distributed across the troposphere. | Jaing C, Thissen J, Morrison M, Dillon MB, Waters SM, Graham GT, Be NA, Nicoll P, Verma S, Caro T, Smith DJ. | Sci Rep | 10.1038/s41598-020-69188-4 | 2020 | ||
| Summary of Novel Bacterial Isolates Derived from Human Clinical Specimens and Nomenclature Revisions Published in 2018 and 2019. | Munson E, Carroll KC. | J Clin Microbiol | 10.1128/jcm.01309-20 | 2021 | ||
| 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 pseudosasae sp. nov., a pink-pigmented, facultatively methylotrophic bacterium isolated from the bamboo phyllosphere. | Madhaiyan M, Poonguzhali S | Antonie Van Leeuwenhoek | 10.1007/s10482-013-0085-0 | 2013 |
| #2285 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 5688 |
| #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 ) |
| #40783 | ; Curators of the CIP; |
| #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) . |
| #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 . |
| #124022 | Collection of Institut Pasteur ; Curators of the CIP; CIP 103774 |
| #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 ) |
| #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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