Paraburkholderia susongensis L226 is a bacterium that was isolated from weathered rock surface .
genome sequence 16S sequence Bacteria| @ref 20215 |
|
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Betaproteobacteria |
| Order Burkholderiales |
| Family Burkholderiaceae |
| Genus Paraburkholderia |
| Species Paraburkholderia susongensis |
| Full scientific name Paraburkholderia susongensis (Gu et al. 2015) Dobritsa and Samadpour 2016 |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 22544 | R2A MEDIUM (DSMZ Medium 830) | Medium recipe at MediaDive | Name: R2A MEDIUM (DSMZ Medium 830) Composition: Agar 15.0 g/l Casamino acids 0.5 g/l Starch 0.5 g/l Glucose 0.5 g/l Proteose peptone 0.5 g/l Yeast extract 0.5 g/l K2HPO4 0.3 g/l Na-pyruvate 0.3 g/l MgSO4 x 7 H2O 0.05 g/l Distilled water |
Global distribution of 16S sequence KJ746438 (>99% sequence identity) for Paraburkholderia from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 22544 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | IMG-taxon 2708742529 annotated assembly for Paraburkholderia susongensis LMG 29540 | scaffold | 1515439 | 71.83 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 22544 | Paraburkholderia susongensis strain L226 16S ribosomal RNA gene, partial sequence | KJ746438 | 1453 | 1515439 |
| 22544 | GC-content (mol%)63.5 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.49 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 94.24 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 98.79 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 59.36 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.99 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 97.45 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 84.44 | no |
| 125438 | aerobic | aerobicⓘ | yes | 90.15 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.50 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 86.67 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Burkholderia susongensis sp. nov., a mineral-weathering bacterium isolated from weathered rock surface. | Gu JY, Zang SG, Sheng XF, He LY, Huang Z, Wang Q | Int J Syst Evol Microbiol | 10.1099/ijs.0.000059 | 2015 |
| #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 ) |
| #22544 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 100877 |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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 ) |
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https://doi.org/10.13145/bacdive131317.20260601.11
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BacDive in 2025: the core database for prokaryotic strain data