Zhongshania antarctica ZS5-23 is a bacterium that was isolated from coastal fast ice.
genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Cellvibrionales |
| Family Spongiibacteraceae |
| Genus Zhongshania |
| Species Zhongshania antarctica |
| Full scientific name Zhongshania antarctica Li et al. 2011 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 18092 | REACTIVATION WITH LIQUID MEDIUM 514 (DSMZ Medium 514c) | Medium recipe at MediaDive | Name: REACTIVATION WITH LIQUID MEDIUM 514 (DSMZ Medium 514c) Composition: NaCl 19.45 g/l Agar 18.0 g/l MgCl2 5.9 g/l Bacto peptone 5.0 g/l Na2SO4 3.24 g/l CaCl2 1.8 g/l Yeast extract 1.0 g/l KCl 0.55 g/l Na2CO3 0.16 g/l Fe(III) citrate 0.1 g/l KBr 0.08 g/l SrCl2 0.034 g/l H3BO3 0.022 g/l Na2HPO4 0.008 g/l Na-silicate 0.004 g/l NaF 0.0024 g/l (NH4)NO3 0.0016 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 18092 | positive | growth | 28 |
| @ref | Sample type | Continent | |
|---|---|---|---|
| 18092 | coastal fast ice | Australia and Oceania |
Global distribution of 16S sequence FJ889619 (>99% sequence identity) for Zhongshania from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1420294v1 assembly for Zhongshania antarctica DSM 25701 | contig | 641702 | 74.25 | ||||
| 66792 | Zant_v1 assembly for Zhongshania antarctica ZS5-23 | contig | 641702 | 68 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 18092 | Zhongshania antarctica strain ZS5-23 16S ribosomal RNA gene, partial sequence | FJ889619 | 1501 | 641702 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.90 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 87.80 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.90 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 93.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 96.50 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 93.69 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 86.29 | no |
| 125438 | aerobic | aerobicⓘ | yes | 82.04 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.40 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 67.85 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Polyphasic and phylogenomic reevaluation of Zhongshania and Marortus with the description of Zhongshania aquatica sp. nov. | Lee JY, Li Z, Guan Y, Lee MK. | Sci Rep | 10.1038/s41598-025-08302-w | 2025 | |
| Phylogeny | Zhongshania aliphaticivorans sp. nov., an aliphatic hydrocarbon-degrading bacterium isolated from marine sediment, and transfer of Spongiibacter borealis Jang et al. 2011 to the genus Zhongshania as Zhongshania borealis comb. nov. | Lo N, Kang HJ, Jeon CO | Int J Syst Evol Microbiol | 10.1099/ijs.0.068593-0 | 2014 | |
| Phylogeny | Zhongshania antarctica gen. nov., sp. nov. and Zhongshania guokunii sp. nov., gammaproteobacteria respectively isolated from coastal attached (fast) ice and surface seawater of the Antarctic. | Li HJ, Zhang XY, Chen CX, Zhang YJ, Gao ZM, Yu Y, Chen XL, Chen B, Zhang YZ | Int J Syst Evol Microbiol | 10.1099/ijs.0.026153-0 | 2010 |
| #18092 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25701 |
| #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) . |
| #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/bacdive17921.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data