Methylopila capsulata DSM 6130 is a mesophilic prokaryote that was isolated from soil.
mesophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Hyphomicrobiales |
| Family Methylocystaceae |
| Genus Methylopila |
| Species Methylopila capsulata |
| Full scientific name Methylopila capsulata Doronina et al. 1998 |
| BacDive ID | Other strains from Methylopila capsulata (1) | Type strain |
|---|---|---|
| 7223 | M. capsulata R2L2, DSM 16542 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 2496 | NUTRIENT AGAR (DSMZ Medium 1) | Medium recipe at MediaDive | Name: NUTRIENT AGAR (DSMZ Medium 1; with strain-specific modifications) Composition: Agar 15.0 g/l Methanol 10.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 2496 | positive | growth | 30 | mesophilic |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 2496 | soil | Uzbekistan, Tashkent | USSR | UZB | Asia |
Global distribution of 16S sequence AF004844 (>99% sequence identity) for Methylopila from Microbeatlas ![]()
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 97.60 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 65.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 95.20 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.70 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.50 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 95.60 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 88.32 | no |
| 125438 | aerobic | aerobicⓘ | yes | 86.40 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.77 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 66.59 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Diversity of Methylobacterium species associated with New Zealand native plants. | Jahan R, McDonald IR. | FEMS Microbiol Lett | 10.1093/femsle/fnad124 | 2023 | ||
| Metabolism | Degradation of simazine by microorganisms isolated from soils of Spanish olive fields. | Santiago-Mora R, Martin-Laurent F, de Prado R, Franco AR. | Pest Manag Sci | 10.1002/ps.1097 | 2005 | |
| Metabolism | Isolation and taxonomic affiliation of N-heterocyclic aromatic hydrocarbon-transforming bacteria. | Willumsen PA, Johansen JE, Karlson U, Hansen BM. | Appl Microbiol Biotechnol | 10.1007/s00253-004-1799-8 | 2005 | |
| Phylogeny | Methylopila capsulata gen. nov., sp. nov., a novel non-pigmented aerobic facultatively methylotrophic bacterium. | Doronina NV, Trotsenko YA, Krausova VI, Boulygina ES, Tourova TP | Int J Syst Bacteriol | 10.1099/00207713-48-4-1313 | 1998 |
| #2496 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 6130 |
| #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 ) |
| #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 ) |
| #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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https://doi.org/10.13145/bacdive7222.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data