Caldanaerovirga acetigignens JW-Sb4 is an anaerobe, thermophilic, Gram-negative prokaryote that was isolated from soil sample.
Gram-negative rod-shaped anaerobe thermophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacillati |
| Phylum Bacillota |
| Class Clostridia |
| Order Thermosediminibacterales |
| Family Thermosediminibacteraceae |
| Genus Caldanaerovirga |
| Species Caldanaerovirga acetigignens |
| Full scientific name Caldanaerovirga acetigignens Wagner et al. 2009 |
| @ref | Gram stain | Cell length | Cell width | Cell shape | Motility | |
|---|---|---|---|---|---|---|
| 29060 | negative | 4.5 µm | 0.6 µm | rod-shaped |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 7707 | CALDANAEROVIRGA MEDIUM (DSMZ Medium 1206) | Medium recipe at MediaDive | Name: CALDANAEROVIRGA MEDIUM (DSMZ Medium 1206) Composition: D-Xylose 2.96736 g/l TAPS sodium salt 2.37389 g/l NaHCO3 1.48368 g/l Yeast extract 0.98912 g/l NH4Cl 0.49456 g/l (NH4)2SO4 0.49456 g/l KH2PO4 0.267062 g/l Na2S x 9 H2O 0.24728 g/l L-Cysteine HCl x H2O 0.24728 g/l MgSO4 x 7 H2O 0.0296736 g/l Nitrilotriacetic acid 0.0148368 g/l MgCl2 x 6 H2O 0.0098912 g/l NaCl 0.0098912 g/l MnSO4 x H2O 0.0049456 g/l CoSO4 x 7 H2O 0.00178042 g/l ZnSO4 x 7 H2O 0.00178042 g/l FeSO4 x 7 H2O 0.00098912 g/l CaCl2 x 2 H2O 0.00098912 g/l Sodium resazurin 0.00049456 g/l NiCl2 x 6 H2O 0.000296736 g/l AlK(SO4)2 x 12 H2O 0.000197824 g/l CuSO4 x 5 H2O 9.8912e-05 g/l Pyridoxine hydrochloride 9.8912e-05 g/l Na2MoO4 x 2 H2O 9.8912e-05 g/l H3BO3 9.8912e-05 g/l (DL)-alpha-Lipoic acid 4.9456e-05 g/l Nicotinic acid 4.9456e-05 g/l Riboflavin 4.9456e-05 g/l Thiamine HCl 4.9456e-05 g/l Calcium D-(+)-pantothenate 4.9456e-05 g/l p-Aminobenzoic acid 4.9456e-05 g/l Biotin 1.97824e-05 g/l Folic acid 1.97824e-05 g/l Na2WO4 x 2 H2O 3.95648e-06 g/l Na2SeO3 x 5 H2O 2.96736e-06 g/l Vitamin B12 9.8912e-07 g/l Distilled water |
| 29060 | Spore formationno |
| @ref | Salt | Growth | Tested relation | Concentration | |
|---|---|---|---|---|---|
| 29060 | NaCl | positive | growth | 0-4 % |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 29060 | 17057 ChEBI | cellobiose | + | carbon source | |
| 29060 | 28757 ChEBI | fructose | + | carbon source | |
| 29060 | 17234 ChEBI | glucose | + | carbon source | |
| 29060 | 29864 ChEBI | mannitol | + | carbon source | |
| 29060 | 37684 ChEBI | mannose | + | carbon source | |
| 29060 | 15361 ChEBI | pyruvate | + | carbon source | |
| 29060 | 33942 ChEBI | ribose | + | carbon source | |
| 29060 | 18222 ChEBI | xylose | + | carbon source |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 7707 | soil sample | Nevada, Trego Hot Spring | USA | USA | North America |
Global distribution of 16S sequence EF530069 (>99% sequence identity) for Caldanaerovirga acetigignens subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | IMG-taxon 2599185231 annotated assembly for Caldanaerovirga acetigignens DSM 18802 | scaffold | 447595 | 71.72 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 7707 | Caldanaerovirga acetigignens strain JW/SA-NV4 16S ribosomal RNA gene, partial sequence | EF530069 | 1418 | 447595 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 88.00 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 81.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 84.30 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 99.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 50.18 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 94.50 | no |
| 125438 | aerobic | aerobicⓘ | no | 96.48 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 65.34 | yes |
| 125438 | thermophilic | thermophileⓘ | yes | 77.60 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 77.30 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Draft genome sequence of Thermovorax subterraneus 70B(T), a thermophile isolated from a geothermally active underground mine that produces hydrogen. | Goh KM, Liew KJ, Shahar S, Zakaria II, Kahar UM | Data Brief | 10.1016/j.dib.2022.108695 | 2022 | |
| Phylogeny | Caldanaerovirga acetigignens gen. nov., sp. nov., an anaerobic xylanolytic, alkalithermophilic bacterium isolated from Trego Hot Spring, Nevada, USA. | Wagner ID, Ahmed S, Zhao W, Zhang CL, Romanek CS, Rohde M, Wiegel J | Int J Syst Evol Microbiol | 10.1099/ijs.0.005207-0 | 2009 |
| #7707 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 18802 |
| #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 ) |
| #29060 | 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 #25490 (see below) |
| #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/bacdive16902.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data