Skermanella stibiiresistens SB22 is an aerobe, Gram-negative, motile bacterium that was isolated from soil.
Gram-negative motile rod-shaped aerobe genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Rhodospirillales |
| Family Azospirillaceae |
| Genus Skermanella |
| Species Skermanella stibiiresistens |
| Full scientific name Skermanella stibiiresistens Luo et al. 2012 |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 99.367 |
| @ref | Salt | Growth | Tested relation | Concentration | |
|---|---|---|---|---|---|
| 30338 | NaCl | positive | growth | 0-4 % |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 30338 | 37054 ChEBI | 3-hydroxybutyrate | + | carbon source | |
| 30338 | 16449 ChEBI | alanine | + | carbon source | |
| 30338 | 17234 ChEBI | glucose | + | carbon source | |
| 30338 | 24996 ChEBI | lactate | + | carbon source | |
| 30338 | 25115 ChEBI | malate | + | carbon source | |
| 30338 | 26271 ChEBI | proline | + | carbon source | |
| 30338 | 26546 ChEBI | rhamnose | + | carbon source | |
| 30338 | 33942 ChEBI | ribose | + | carbon source | |
| 30338 | 17814 ChEBI | salicin | + | carbon source |
| 30338 | Sample typesoil |
Global distribution of 16S sequence HQ315828 (>99% sequence identity) for Skermanella stibiiresistens subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | genome assembly for Skermanella stibiiresistens SB22 | contig | 1385369 | 38.56 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 30338 | Skermanella stibiiresistens SB22 16S ribosomal RNA gene, partial sequence | HQ315828 | 1420 | 1385369 |
| 30338 | GC-content (mol%)69.6 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 96.61 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 91.68 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 60.35 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.37 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.48 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 87.98 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 85.90 | no |
| 125438 | aerobic | aerobicⓘ | yes | 81.02 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 97.44 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 78.88 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Skermanella stibiiresistens sp. nov., a highly antimony-resistant bacterium isolated from coal-mining soil, and emended description of the genus Skermanella. | Luo G, Shi Z, Wang H, Wang G | Int J Syst Evol Microbiol | 10.1099/ijs.0.033746-0 | 2011 |
| #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 ) |
| #26679 | IJSEM 1271 2012 ( DOI 10.1099/ijs.0.033746-0 , PubMed 21784960 ) |
| #30338 | Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #26679 |
| #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 . |
| #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 ) |
You found an error in BacDive? Please tell us about it!
Note that changes will be reviewed and judged. If your changes are legitimate, changes will occur within the next BacDive update. Only proposed changes supported by the according reference will be reviewed. The BacDive team reserves the right to reject proposed changes.
Successfully sent
If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive133736.20260601.11
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data