Micromonospora purpureochromogenes DSM 43814 is a spore-forming, mesophilic bacterium that was isolated from soil.
spore-forming mesophilic genome sequence 16S sequence Bacteria|
|
| Domain Bacteria |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Micromonosporales |
| Family Micromonosporaceae |
| Genus Micromonospora |
| Species Micromonospora purpureochromogenes |
| Full scientific name Micromonospora purpureochromogenes corrig. (Waksman and Curtis 1916) Luedemann 1971 (Approved Lists 1980) |
| Synonyms (2) |
| BacDive ID | Other strains from Micromonospora purpureochromogenes (2) | Type strain |
|---|---|---|
| 7976 | M. purpureochromogenes DSM 43821, ATCC 27007, CBS 326.71, IFO 13324, ... (type strain) | |
| 128415 | M. purpureochromogenes STH00270(ZIMET), B-80-Z2, NIHJ 424, NCIB ... |
| @ref: | 11287 |
| manual_annotation: | 1 |
| multimedia content: | DSM_43814.jpg |
| multimedia.multimedia content: | https://www.dsmz.de/microorganisms/photos/DSM_43814.jpg |
| caption: | Medium 554 28°C |
| intellectual property rights: | © Leibniz-Institut DSMZ |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 11287 | N-Z-AMINE-MEDIUM (DSMZ Medium 554) | Medium recipe at MediaDive | Name: N-Z-AMINE-MEDIUM (DSMZ Medium 554) Composition: Starch 20.0 g/l Agar 20.0 g/l Glucose 10.0 g/l N-Z amine 5.0 g/l Yeast extract 5.0 g/l CaCO3 1.0 g/l Distilled water | ||
| 11287 | GYM STREPTOMYCES MEDIUM (DSMZ Medium 65) | Medium recipe at MediaDive | Name: GYM STREPTOMYCES MEDIUM (DSMZ Medium 65) Composition: Agar 18.0 g/l Malt extract 10.0 g/l Yeast extract 4.0 g/l Glucose 4.0 g/l CaCO3 2.0 g/l Distilled water |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 54.80 | no |
| 125439 | motility | BacteriaNetⓘ | no | 78.60 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 99.20 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.70 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 89.19 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 94.87 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 92.32 | no |
| 125438 | aerobic | aerobicⓘ | yes | 85.98 | no |
| 125438 | thermophilic | thermophileⓘ | no | 94.50 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 90.50 | no |
| @ref | Straininfo | Culture collections | |
|---|---|---|---|
| 77409 | 38749 | ATCC 27334, DSM 43814, IFO 14069, IMET 8304, JCM 3233, NRRL B-16079, VKM Ac-614, JCM 10141, VKM Ac-1326, CCRC 12627, NCIMB 12732, CBS13074, CBS 130.76, CECT 3290, NBRC 14069, BCRC 12627 |
| Culture collection no. | |
|---|---|
| DSM 43814 | |
| ATCC 27334 | |
| CBS 130.76 | |
| IFO 14069 | |
| IMET 8304 | |
| INA 166 | |
| JCM 3233 | |
| NBRC 14069 | |
| NRRL B-16079 | |
| VKM Ac-614 | |
| INA 472 | |
| IMSNU 20080 | |
| BCRC 12627 | |
| VKM Ac-1326 | |
| NCIMB 12732 | |
| CECT 3290 | |
| JCM 10141 |
| #11287 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 43814 |
| #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) . |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #77409 | Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.: StrainInfo: A central database for resolving microbial strain identifiers . ( DOI 10.60712/SI-ID38749.1 ) |
| #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 . |
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