Pseudooceanicola antarcticus JCM 19802 is a mesophilic prokaryote that was isolated from Seawater collected from the Antarctic Ocean.
mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Rhodobacterales |
| Family Roseobacteraceae |
| Genus Pseudooceanicola |
| Species Pseudooceanicola antarcticus |
| Full scientific name Pseudooceanicola antarcticus (Huo et al. 2014) Lai et al. 2015 |
| Synonyms (1) |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 67770 | positive | growth | 30 | mesophilic |
| 67770 | Sample typeSeawater collected from the Antarctic Ocean |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | IMG-taxon 2721755848 annotated assembly for Pseudooceanicola antarcticus CGMCC 1.12662 | contig | 1247613 | 75.61 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 67770 | Pseudooceanicola antarcticus strain Ar-45 16S ribosomal RNA gene, partial sequence | JX844452 | 1423 | 1247613 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 67770 | 62 | high performance liquid chromatography (HPLC) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 82.70 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 98.60 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 73.90 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 98.50 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.00 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 94.34 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 90.76 | no |
| 125438 | aerobic | aerobicⓘ | yes | 78.58 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.00 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 60.05 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Isolation of marine bacteria with potential for polyhydroxyalkanoate degradation and optimization for enzyme production. | Boondaeng A, Trakunjae C, Vaithanomsat P, Niyomvong N. | Sci Rep | 10.1038/s41598-025-99034-4 | 2025 | ||
| Phylogeny | Pseudooceanicola atlanticus gen. nov. sp. nov., isolated from surface seawater of the Atlantic Ocean and reclassification of Oceanicola batsensis, Oceanicola marinus, Oceanicola nitratireducens, Oceanicola nanhaiensis, Oceanicola antarcticus and Oceanicola flagellatus, as Pseudooceanicola batsensis comb. nov., Pseudooceanicola marinus comb. nov., Pseudooceanicola nitratireducens comb. nov., Pseudooceanicola nanhaiensis comb. nov., Pseudooceanicola antarcticus comb. nov., and Pseudooceanicola flagellatus comb. nov. | Lai Q, Li G, Liu X, Du Y, Sun F, Shao Z | Antonie Van Leeuwenhoek | 10.1007/s10482-015-0398-2 | 2015 | |
| Phylogeny | Oceanicola antarcticus sp. nov. and Oceanicola flagellatus sp. nov., moderately halophilic bacteria isolated from seawater. | Huo YY, Li ZY, You H, Wang CS, Post AF, Oren A, Xu XW | Int J Syst Evol Microbiol | 10.1099/ijs.0.062588-0 | 2014 | |
| Phylogeny | Pseudooceanicola endophyticus sp. nov., a novel endophytic bacterium isolated from bark Aegiceras corniculatum. | Zheng ZQ, Chen MS, Yan XR, Tuo L | Int J Syst Evol Microbiol | 10.1099/ijsem.0.005036 | 2021 |
| #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; |
| #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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