Azospirillum thiophilum Bv-S is an aerobe, mesophilic, Gram-negative prokaryote that was isolated from bacterial mat of a sulfide mineral spring.
Gram-negative motile rod-shaped aerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Rhodospirillales |
| Family Azospirillaceae |
| Genus Azospirillum |
| Species Azospirillum thiophilum |
| Full scientific name Azospirillum thiophilum Lavrinenko et al. 2010 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 15869 | HETEROTROPHIC MEDIUM H3P (DSMZ Medium 428) | Medium recipe at MediaDive | Name: HETEROTROPHIC MEDIUM H3P (DSMZ Medium 428) Composition: Agar 19.802 g/l Na2HPO4 x 2 H2O 2.87129 g/l KH2PO4 2.27723 g/l D-Glucose 1.9802 g/l Na-lactate 0.990099 g/l Na-pyruvate 0.990099 g/l D-Mannitol 0.990099 g/l DL-Malate 0.990098 g/l Na-acetate 0.990098 g/l Yeast extract 0.990098 g/l NH4Cl 0.990098 g/l Disodium succinate 0.990098 g/l MgSO4 x 7 H2O 0.495049 g/l Ferric ammonium citrate 0.049505 g/l CaCl2 x 2 H2O 0.00990098 g/l NaVO3 x H2O 0.00495049 g/l Thiamine-HCl x 2 H2O 0.00247525 g/l Nicotinic acid 0.00247525 g/l Pyridoxine hydrochloride 0.00247525 g/l Calcium pantothenate 0.00247525 g/l H3BO3 0.00148515 g/l CoCl2 x 6 H2O 0.000990099 g/l Riboflavin 0.00049505 g/l ZnSO4 x 7 H2O 0.00049505 g/l MnCl2 x 4 H2O 0.000148515 g/l Na2MoO4 x 2 H2O 0.000148515 g/l NiCl2 x 6 H2O 9.90099e-05 g/l CuCl2 x 2 H2O 4.95049e-05 g/l Vitamin B12 4.95049e-05 g/l Folic acid 9.90099e-06 g/l Biotin 4.9505e-06 g/l Distilled water | ||
| 15869 | R2A MEDIUM (DSMZ Medium 830) | Medium recipe at MediaDive | Name: R2A MEDIUM (DSMZ Medium 830) Composition: Agar 15.0 g/l Casamino acids 0.5 g/l Starch 0.5 g/l Glucose 0.5 g/l Proteose peptone 0.5 g/l Yeast extract 0.5 g/l K2HPO4 0.3 g/l Na-pyruvate 0.3 g/l MgSO4 x 7 H2O 0.05 g/l Distilled water |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 97.3 |
| 29693 | Observationaggregates in chains |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 29693 | 30089 ChEBI | acetate | + | carbon source | |
| 29693 | 16449 ChEBI | alanine | + | carbon source | |
| 29693 | 22599 ChEBI | arabinose | + | carbon source | |
| 29693 | 22653 ChEBI | asparagine | + | carbon source | |
| 29693 | 35391 ChEBI | aspartate | + | carbon source | |
| 29693 | 28260 ChEBI | galactose | + | carbon source | |
| 29693 | 17234 ChEBI | glucose | + | carbon source | |
| 29693 | 17306 ChEBI | maltose | + | carbon source | |
| 29693 | 17632 ChEBI | nitrate | + | reduction | |
| 29693 | 28044 ChEBI | phenylalanine | + | carbon source | |
| 29693 | 15361 ChEBI | pyruvate | + | carbon source |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #Spring | |
| #Host | #Microbial | #Bacteria | |
| #Condition | #Sulfuric | - |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 15869 | bacterial mat of a sulfide mineral spring | North Caucasus region, Stavropol Krai, 'Shameless Baths' | Russia | RUS | Europe |
Global distribution of 16S sequence EU678791 (>99% sequence identity) for Azospirillum thiophilum subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM130559v1 assembly for Azospirillum thiophilum BV-S | complete | 528244 | 94.24 | ||||
| 66792 | ASM96082v1 assembly for Azospirillum thiophilum DSM 21654 | contig | 528244 | 73.51 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 15869 | Azospirillum thiophilum strain BV-S 16S ribosomal RNA gene, partial sequence | EU678791 | 1316 | 528244 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 97.30 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 74.50 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 98.00 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.10 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.50 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 89.29 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 70.27 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 82.66 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.43 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 82.10 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Complete Genome Sequence of a Novel Azospirillum Strain TA Isolated from Western Siberia Chernevaya Taiga Soil. | Rayko M, Kravchenko I, Lapidus A. | Microorganisms | 10.3390/microorganisms12122599 | 2024 | |
| Raman spectroscopic and TEM monitoring of selenite and selenate reduction by the bacterium Azospirillum thiophilum with the formation of selenium(0) nanoparticles: Effects of sulfate. | Tugarova AV, Vladimirova AA, Dyatlova YA, Kamnev AA. | Spectrochim Acta A Mol Biomol Spectrosc | 10.1016/j.saa.2024.125463 | 2025 | ||
| Effect of the oil from the fatty tissues of Crocodylus siamensis on gut microbiome diversity and metabolism in mice. | Parunyakul K, Chuchoiy A, Kooltueon S, Puttagamnerd P, Srisuksai K, Santativongchai P, Pongchairerk U, Tulayakul P, E-Kobon T, Fungfuang W. | PLoS One | 10.1371/journal.pone.0289073 | 2023 | ||
| Screening of rhizobacteria from monkey pod trees for plant growth promoters and evaluating the antifungal potential of the biosynthesized selenium nanoparticles. | Babajide AM, Adebami GE, Adebayo-Tayo BC. | Sci Rep | 10.1038/s41598-025-96330-x | 2025 | ||
| Metabolism | Genomic insights into metabolic versatility of a lithotrophic sulfur-oxidizing diazotrophic Alphaproteobacterium Azospirillum thiophilum. | Orlova MV, Tarlachkov SV, Dubinina GA, Belousova EV, Tutukina MN, Grabovich MY. | FEMS Microbiol Ecol | 10.1093/femsec/fiw199 | 2016 | |
| Genetics | First Azospirillum genome from aquatic environments: Whole-genome sequence of Azospirillum thiophilum BV-S(T), a novel diazotroph harboring a capacity of sulfur-chemolithotrophy from a sulfide spring. | Kwak Y, Shin JH. | Mar Genomics | 10.1016/j.margen.2015.11.001 | 2016 | |
| Genetics | Biodegradation of sodium selenite by a highly tolerant strain Rhodococcus qingshengii PM1: Biochemical characterization and comparative genome analysis. | Wang Z, Hou X, Guo Z, Lei X, Peng M. | Curr Res Microb Sci | 10.1016/j.crmicr.2025.100426 | 2025 | |
| Characterization and biological activity of selenium nanoparticles biosynthesized by Yarrowia lipolytica. | Lashani E, Moghimi H, Turner RJ, Amoozegar MA. | Microb Biotechnol | 10.1111/1751-7915.70013 | 2024 | ||
| Effect of Bacteria from the Genus Azospirillum on Oxidative Stress Levels in Wheat Triticum aestivum L. in the Presence of Copper, Nickel, and Lead. | Gureeva MV, Kirillova MS, Trandina VA, Kryukova VA, Eremina AA, Alimova AA, Grabovich MY, Gureev AP. | Microorganisms | 10.3390/microorganisms13020334 | 2025 | ||
| Complete Genome Sequence of a Strain of Azospirillum thiophilum Isolated from a Sulfide Spring. | Fomenkov A, Vincze T, Grabovich M, Anton BP, Dubinina G, Orlova M, Belousova E, Roberts RJ. | Genome Announc | 10.1128/genomea.01521-15 | 2016 | ||
| Simultaneous Raman and infrared spectroscopy: a novel combination for studying bacterial infections at the single cell level. | Lima C, Ahmed S, Xu Y, Muhamadali H, Parry C, McGalliard RJ, Carrol ED, Goodacre R. | Chem Sci | 10.1039/d2sc02493d | 2022 | ||
| Composition and biodiversity of soil and root-associated microbiome in Vitis vinifera cultivar Lambrusco distinguish the microbial terroir of the Lambrusco DOC protected designation of origin area on a local scale. | Nanetti E, Palladino G, Scicchitano D, Trapella G, Cinti N, Fabbrini M, Cozzi A, Accetta G, Tassini C, Iannaccone L, Candela M, Rampelli S. | Front Microbiol | 10.3389/fmicb.2023.1108036 | 2023 | ||
| Biogenic Selenium Nanoparticles: A Fine Characterization to Unveil Their Thermodynamic Stability. | Piacenza E, Presentato A, Ferrante F, Cavallaro G, Alduina R, Chillura Martino DF. | Nanomaterials (Basel) | 10.3390/nano11051195 | 2021 | ||
| Transcriptome | Selenite Reduction by Proteus sp. YS02: New Insights Revealed by Comparative Transcriptomics and Antibacterial Effectiveness of the Biogenic Se0 Nanoparticles. | Wang Y, Ye Q, Sun Y, Jiang Y, Meng B, Du J, Chen J, Tugarova AV, Kamnev AA, Huang S. | Front Microbiol | 10.3389/fmicb.2022.845321 | 2022 | |
| Pathogenicity | Determination of Plasmid pSN1216-29 Host Range and the Similarity in Oligonucleotide Composition Between Plasmid and Host Chromosomes. | Tokuda M, Suzuki H, Yanagiya K, Yuki M, Inoue K, Ohkuma M, Kimbara K, Shintani M. | Front Microbiol | 10.3389/fmicb.2020.01187 | 2020 | |
| Metabolism | Methyl Selenol as a Precursor in Selenite Reduction to Se/S Species by Methane-Oxidizing Bacteria. | Eswayah AS, Hondow N, Scheinost AC, Merroun M, Romero-Gonzalez M, Smith TJ, Gardiner PHE. | Appl Environ Microbiol | 10.1128/aem.01379-19 | 2019 | |
| Biotechnology | Nanoparticle classification, physicochemical properties, characterization, and applications: a comprehensive review for biologists. | Joudeh N, Linke D. | J Nanobiotechnology | 10.1186/s12951-022-01477-8 | 2022 | |
| Genetics | Identification of Novel Genomic Islands in Liverpool Epidemic Strain of Pseudomonas aeruginosa Using Segmentation and Clustering. | Jani M, Mathee K, Azad RK. | Front Microbiol | 10.3389/fmicb.2016.01210 | 2016 | |
| Genetics | Analysis of 1,000+ Type-Strain Genomes Substantially Improves Taxonomic Classification of Alphaproteobacteria. | Hordt A, Lopez MG, Meier-Kolthoff JP, Schleuning M, Weinhold LM, Tindall BJ, Gronow S, Kyrpides NC, Woyke T, Goker M. | Front Microbiol | 10.3389/fmicb.2020.00468 | 2020 | |
| Metabolism | FTIR and Raman spectroscopic studies of selenium nanoparticles synthesised by the bacterium Azospirillum thiophilum. | Tugarova AV, Mamchenkova PV, Dyatlova YA, Kamnev AA | Spectrochim Acta A Mol Biomol Spectrosc | 10.1016/j.saa.2017.11.050 | 2017 | |
| Phylogeny | Azospirillum agricola sp. nov., a nitrogen-fixing species isolated from cultivated soil. | Lin SY, Liu YC, Hameed A, Hsu YH, Huang HI, Lai WA, Young CC. | Int J Syst Evol Microbiol | 10.1099/ijsem.0.000904 | 2016 | |
| Phylogeny | Azospirillum humicireducens sp. nov., a nitrogen-fixing bacterium isolated from a microbial fuel cell. | Zhou S, Han L, Wang Y, Yang G, Zhuang L, Hu P. | Int J Syst Evol Microbiol | 10.1099/ijs.0.046813-0 | 2013 | |
| Phylogeny | Azospirillum thermophilum sp. nov., isolated from a hot spring. | Zhao ZL, Ming H, Ding CL, Ji WL, Cheng LJ, Niu MM, Zhang YM, Zhang LY, Meng XL, Nie GX | Int J Syst Evol Microbiol | 10.1099/ijsem.0.003788 | 2020 | |
| Phylogeny | Azospirillum griseum sp. nov., isolated from lakewater. | Yang Y, Zhang R, Feng J, Wang C, Chen J | Int J Syst Evol Microbiol | 10.1099/ijsem.0.003460 | 2019 | |
| Phylogeny | Azospirillum thiophilum sp. nov., a diazotrophic bacterium isolated from a sulfide spring. | Lavrinenko K, Chernousova E, Gridneva E, Dubinina G, Akimov V, Kuever J, Lysenko A, Grabovich M | Int J Syst Evol Microbiol | 10.1099/ijs.0.018853-0 | 2010 |
| #15869 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 21654 |
| #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 ) |
| #26078 | IJSEM 2832 2010 ( DOI 10.1099/ijs.0.018853-0 , PubMed 20081019 ) |
| #29693 | 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 #26078 |
| #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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