Thiomicrorhabdus arctica SVAL-E is an aerobe, chemolithoautotroph, Gram-negative bacterium that was isolated from marine Arctic sediments.
Gram-negative motile rod-shaped aerobe chemolithoautotroph genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Beggiatoales |
| Family Piscirickettsiaceae |
| Genus Thiomicrorhabdus |
| Species Thiomicrorhabdus arctica |
| Full scientific name Thiomicrorhabdus arctica (Knittel et al. 2005) Boden et al. 2017 |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 5050 | THIOMICRORHABDUS MEDIUM (DSMZ Medium 142a) | Medium recipe at MediaDive | Name: THIOMICRORHABDUS MEDIUM (DSMZ Medium 142a) Composition: NaCl 15.0 g/l Na2S2O3 x 5 H2O 5.0 g/l MgSO4 x 7 H2O 1.5 g/l (NH4)2SO4 1.0 g/l K2HPO4 0.5 g/l CaCl2 x 2 H2O 0.42 g/l Bromothymol blue 0.004 g/l HCl 0.0025 g/l FeCl2 x 4 H2O 0.0015 g/l Pyridoxine hydrochloride 0.0003 g/l Nicotinic acid 0.0002 g/l Thiamine-HCl x 2 H2O 0.0002 g/l CoCl2 x 6 H2O 0.00019 g/l Calcium pantothenate 0.0001 g/l MnCl2 x 4 H2O 0.0001 g/l Vitamin B12 0.0001 g/l p-Aminobenzoic acid 8e-05 g/l ZnCl2 7e-05 g/l Na2MoO4 x 2 H2O 3.6e-05 g/l NiCl2 x 6 H2O 2.4e-05 g/l D-(+)-biotin 2e-05 g/l H3BO3 6e-06 g/l CuCl2 x 2 H2O 2e-06 g/l Distilled water |
| 43182 | Typechemolithoautotroph |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 43182 | 28938 ChEBI | ammonium | + | nitrogen source | |
| 43182 | 18276 ChEBI | dihydrogen | - | electron donor | |
| 43182 | 15379 ChEBI | dioxygen | + | electron acceptor | |
| 43182 | 18248 ChEBI | iron | - | electron donor | |
| 43182 | 18291 ChEBI | manganese | - | electron donor | |
| 43182 | 17632 ChEBI | nitrate | - | reduction | |
| 43182 | 15138 ChEBI | sulfide | + | electron donor | |
| 43182 | 17359 ChEBI | sulfite | - | electron donor | |
| 43182 | 15226 ChEBI | tetrathionate | + | electron donor | |
| 43182 | 18022 ChEBI | thiocyanate | - | electron donor | |
| 43182 | 16094 ChEBI | thiosulfate | + | electron donor |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #Marine | |
| #Environmental | #Aquatic | #Sediment | |
| #Condition | #Psychrophilic (<10°C) | - | |
| #Climate | #Cold | #Polar |
Global distribution of 16S sequence AJ404731 (>99% sequence identity) for Thiomicrorhabdus from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM38108v1 assembly for Thiomicrorhabdus arctica DSM 13458 | scaffold | 1123514 | 78.08 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 5050 | Thiomicrospira arctica 16S rRNA gene | AJ404731 | 1426 | 131540 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.00 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 73.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.10 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 98.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 99.50 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 87.87 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 56.29 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 92.22 | no |
| 125438 | thermophilic | thermophileⓘ | no | 92.44 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 73.73 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Metabolism | Diversity in CO2-Concentrating Mechanisms among Chemolithoautotrophs from the Genera Hydrogenovibrio, Thiomicrorhabdus, and Thiomicrospira, Ubiquitous in Sulfidic Habitats Worldwide. | Scott KM, Leonard JM, Boden R, Chaput D, Dennison C, Haller E, Harmer TL, Anderson A, Arnold T, Budenstein S, Brown R, Brand J, Byers J, Calarco J, Campbell T, Carter E, Chase M, Cole M, Dwyer D, Grasham J, Hanni C, Hazle A, Johnson C, Johnson R, Kirby B, Lewis K, Neumann B, Nguyen T, Nino Charari J, Morakinyo O, Olsson B, Roundtree S, Skjerve E, Ubaldini A, Whittaker R. | Appl Environ Microbiol | 10.1128/aem.02096-18 | 2019 | |
| Phylogeny | Thiomicrospira arctica sp. nov. and Thiomicrospira psychrophila sp. nov., psychrophilic, obligately chemolithoautotrophic, sulfur-oxidizing bacteria isolated from marine Arctic sediments. | Knittel K, Kuever J, Meyerdierks A, Meinke R, Amann R, Brinkhoff T | Int J Syst Evol Microbiol | 10.1099/ijs.0.63362-0 | 2005 |
| #5050 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 13458 |
| #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 ) |
| #27659 | IJSEM 781 2005 ( DOI 10.1099/ijs.0.63362-0 , PubMed 15774662 ) |
| #31345 | 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 #27659 |
| #43182 | Rich Boden, Kathleen M. Scott, John Williams, Sydney Russel, Kirsten Antonen, Alex W. Rae and Lee P. Hutt: An evaluation of Thiomicrospira, Hydrogenovibrio and Thioalkalimicrobium: reclassification of four species of Thiomicrospira to each Thiomicrorhabdus gen. nov. and Hydrogenovibrio, and reclassification of all four species of Thioalkalimicrobium to Thiomicrospira. IJSEM 67: 1140 - 1151 2017 ( DOI 10.1099/ijsem.0.001855 , PubMed 28581925 ) |
| #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 ) |
You found an error in BacDive? Please tell us about it!
Note that changes will be reviewed and judged. If your changes are legitimate, changes will occur within the next BacDive update. Only proposed changes supported by the according reference will be reviewed. The BacDive team reserves the right to reject proposed changes.
Successfully sent
If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive11931.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data