Stenotrophomonas maltophilia CCUG 35952 is a prokaryote that was isolated from Human wound.
| @ref 20215 |
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Last LPSN update
2025-12-16 10:05:41 |
| 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 | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68369 | 17128 ChEBI | adipate | - | assimilation | from API 20NE |
| 68369 | 29016 ChEBI | arginine | - | hydrolysis | from API 20NE |
| 68369 | 17634 ChEBI | D-glucose | + | assimilation | from API 20NE |
| 68369 | 17634 ChEBI | D-glucose | - | fermentation | from API 20NE |
| 68369 | 16899 ChEBI | D-mannitol | - | assimilation | from API 20NE |
| 68369 | 16024 ChEBI | D-mannose | + | assimilation | from API 20NE |
| 68369 | 27689 ChEBI | decanoate | - | assimilation | from API 20NE |
| 68369 | 4853 ChEBI | esculin | + | hydrolysis | from API 20NE |
| 68369 | 5291 ChEBI | gelatin | + | hydrolysis | from API 20NE |
| 68369 | 24265 ChEBI | gluconate | - | assimilation | from API 20NE |
| 68369 | 30849 ChEBI | L-arabinose | - | assimilation | from API 20NE |
| 68369 | 25115 ChEBI | malate | + | assimilation | from API 20NE |
| 68369 | 17306 ChEBI | maltose | + | assimilation | from API 20NE |
| 68369 | 59640 ChEBI | N-acetylglucosamine | + | assimilation | from API 20NE |
| 68369 | 17632 ChEBI | nitrate | - | reduction | from API 20NE |
| 68369 | 27897 ChEBI | tryptophan | - | energy source | from API 20NE |
| 68369 | 16199 ChEBI | urea | - | hydrolysis | from API 20NE |
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| @ref | 53127 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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How to citeIf you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive148799.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data
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