Stenotrophomonas maltophilia 68 is a mesophilic human pathogen that was isolated from contaminant from streptomycin solution.
mesophilic human pathogen| @ref 20215 |
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| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Lysobacterales |
| Family Lysobacteraceae |
| Genus Stenotrophomonas |
| Species Stenotrophomonas maltophilia |
| Full scientific name Stenotrophomonas maltophilia (Hugh 1981 ex Hugh and Ryschenkow 1961) Palleroni and Bradbury 1993 |
| Synonyms (3) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 12670 | 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 |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 12670 | positive | growth | 30 | mesophilic |
| 12670 | Sample typecontaminant from streptomycin solution |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | A rapid culture independent methodology to quantitatively detect and identify common human bacterial pathogens associated with contaminated high purity water. | Minogue E, Tuite NL, Smith CJ, Reddington K, Barry T. | BMC Biotechnol | 10.1186/s12896-015-0124-1 | 2015 |
| #12670 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 50173 |
| #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 ) |
| #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/bacdive17533.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data