Halopseudomonas salina JCM 19469 is a bacterium that was isolated from Xiaochaidan Lake in Qaidam Basin.
genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Pseudomonadales |
| Family Pseudomonadaceae |
| Genus Halopseudomonas |
| Species Halopseudomonas salina |
| Full scientific name Halopseudomonas salina (Zhong et al. 2015) Rudra and Gupta 2021 |
| Synonyms (2) |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 67770 | positive | growth | 25 |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 99.3 |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 67770 | Xiaochaidan Lake in Qaidam Basin | Qinghai Province | China | CHN | Asia |
Global distribution of 16S sequence KC762324 (>99% sequence identity) for Pseudomonas salina from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1463795v1 assembly for Halopseudomonas salina CGMCC 1.12482 | scaffold | 1323744 | 68.27 | ||||
| 67770 | ASM864110v1 assembly for Halopseudomonas salina XCD-X85 | scaffold | 1323744 | 50.71 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 67770 | Pseudomonas salina strain XCD-X85 16S ribosomal RNA gene, partial sequence | KC762324 | 1498 | 1323744 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.30 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 86.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.80 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative aerobe | 62.70 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 99.49 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 96.26 | no |
| 125438 | aerobic | aerobicⓘ | yes | 82.35 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 88.03 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.88 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 86.71 | no |
| #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 ) |
| #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; |
| #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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