Sulfurimonas autotrophica OK10 is a microaerophile, psychrophilic prokaryote that was isolated from deep-sea hydrothermal sediments.
microaerophile psychrophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Epsilonproteobacteria |
| Order Campylobacterales |
| Family Helicobacteraceae |
| Genus Sulfurimonas |
| Species Sulfurimonas autotrophica |
| Full scientific name Sulfurimonas autotrophica Inagaki et al. 2003 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 6277 | SULFURIMONAS MJ MEDIUM (DSMZ Medium 1011) | Medium recipe at MediaDive | Name: SULFURIMONAS MJ MEDIUM (DSMZ Medium 1011) Composition: MgCl2 x 6 H2O 4.13452 g/l NaHCO3 1.48368 g/l Na2S2O3 x 5 H2O 1.48368 g/l KCl 0.326409 g/l NH4Cl 0.24728 g/l K2HPO4 0.138477 g/l MgSO4 x 7 H2O 0.0296736 g/l Nitrilotriacetic acid 0.0148368 g/l Fe(NH4)2(SO4)2 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 CaCl2 x 2 H2O 0.00098912 g/l FeSO4 x 7 H2O 0.00098912 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 H3BO3 9.8912e-05 g/l Na2MoO4 x 2 H2O 9.8912e-05 g/l p-Aminobenzoic acid 4.9456e-05 g/l (DL)-alpha-Lipoic acid 4.9456e-05 g/l Calcium D-(+)-pantothenate 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 Folic acid 1.97824e-05 g/l Biotin 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 |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | teichoic acid biosynthesis | 100 | 1 of 1 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | CMP-KDO biosynthesis | 100 | 4 of 4 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | denitrification | 100 | 2 of 2 | ||
| 66794 | biotin biosynthesis | 100 | 4 of 4 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | reductive acetyl coenzyme A pathway | 100 | 7 of 7 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | palmitate biosynthesis | 95.45 | 21 of 22 | ||
| 66794 | tetrahydrofolate metabolism | 92.86 | 13 of 14 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | lipid A biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | d-mannose degradation | 88.89 | 8 of 9 | ||
| 66794 | aspartate and asparagine metabolism | 88.89 | 8 of 9 | ||
| 66794 | gluconeogenesis | 87.5 | 7 of 8 | ||
| 66794 | photosynthesis | 85.71 | 12 of 14 | ||
| 66794 | ubiquinone biosynthesis | 85.71 | 6 of 7 | ||
| 66794 | 1,4-dihydroxy-6-naphthoate biosynthesis | 83.33 | 5 of 6 | ||
| 66794 | methylglyoxal degradation | 80 | 4 of 5 | ||
| 66794 | threonine metabolism | 80 | 8 of 10 | ||
| 66794 | hydrogen production | 80 | 4 of 5 | ||
| 66794 | heme metabolism | 78.57 | 11 of 14 | ||
| 66794 | molybdenum cofactor biosynthesis | 77.78 | 7 of 9 | ||
| 66794 | isoleucine metabolism | 75 | 6 of 8 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | C4 and CAM-carbon fixation | 75 | 6 of 8 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | peptidoglycan biosynthesis | 73.33 | 11 of 15 | ||
| 66794 | NAD metabolism | 72.22 | 13 of 18 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | starch degradation | 70 | 7 of 10 | ||
| 66794 | phenylalanine metabolism | 69.23 | 9 of 13 | ||
| 66794 | sulfate reduction | 69.23 | 9 of 13 | ||
| 66794 | glutamate and glutamine metabolism | 67.86 | 19 of 28 | ||
| 66794 | purine metabolism | 67.02 | 63 of 94 | ||
| 66794 | valine metabolism | 66.67 | 6 of 9 | ||
| 66794 | CO2 fixation in Crenarchaeota | 66.67 | 6 of 9 | ||
| 66794 | serine metabolism | 66.67 | 6 of 9 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | nitrate assimilation | 66.67 | 6 of 9 | ||
| 66794 | flavin biosynthesis | 66.67 | 10 of 15 | ||
| 66794 | citric acid cycle | 64.29 | 9 of 14 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | pyrimidine metabolism | 62.22 | 28 of 45 | ||
| 66794 | cellulose degradation | 60 | 3 of 5 | ||
| 66794 | glycogen metabolism | 60 | 3 of 5 | ||
| 66794 | lipoate biosynthesis | 60 | 3 of 5 | ||
| 66794 | lipid metabolism | 54.84 | 17 of 31 | ||
| 66794 | proline metabolism | 54.55 | 6 of 11 | ||
| 66794 | methionine metabolism | 53.85 | 14 of 26 | ||
| 66794 | isoprenoid biosynthesis | 53.85 | 14 of 26 | ||
| 66794 | vitamin B1 metabolism | 53.85 | 7 of 13 | ||
| 66794 | glycolysis | 52.94 | 9 of 17 | ||
| 66794 | polyamine pathway | 52.17 | 12 of 23 | ||
| 66794 | histidine metabolism | 51.72 | 15 of 29 | ||
| 66794 | alanine metabolism | 51.72 | 15 of 29 | ||
| 66794 | dTDPLrhamnose biosynthesis | 50 | 4 of 8 | ||
| 66794 | lysine metabolism | 50 | 21 of 42 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | selenocysteine biosynthesis | 50 | 3 of 6 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | aminopropanol phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | butanoate fermentation | 50 | 2 of 4 | ||
| 66794 | ketogluconate metabolism | 50 | 4 of 8 | ||
| 66794 | arginine metabolism | 50 | 12 of 24 | ||
| 66794 | cysteine metabolism | 50 | 9 of 18 | ||
| 66794 | cis-vaccenate biosynthesis | 50 | 1 of 2 | ||
| 66794 | glycolate and glyoxylate degradation | 50 | 3 of 6 | ||
| 66794 | non-pathway related | 47.37 | 18 of 38 | ||
| 66794 | tryptophan metabolism | 44.74 | 17 of 38 | ||
| 66794 | degradation of hexoses | 44.44 | 8 of 18 | ||
| 66794 | glutathione metabolism | 42.86 | 6 of 14 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 41.67 | 5 of 12 | ||
| 66794 | gallate degradation | 40 | 2 of 5 | ||
| 66794 | ethylmalonyl-CoA pathway | 40 | 2 of 5 | ||
| 66794 | propionate fermentation | 40 | 4 of 10 | ||
| 66794 | coenzyme M biosynthesis | 40 | 4 of 10 | ||
| 66794 | oxidative phosphorylation | 38.46 | 35 of 91 | ||
| 66794 | leucine metabolism | 38.46 | 5 of 13 | ||
| 66794 | vitamin B12 metabolism | 38.24 | 13 of 34 | ||
| 66794 | vitamin B6 metabolism | 36.36 | 4 of 11 | ||
| 66794 | pentose phosphate pathway | 36.36 | 4 of 11 | ||
| 66794 | tyrosine metabolism | 35.71 | 5 of 14 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | cyanate degradation | 33.33 | 1 of 3 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | formaldehyde oxidation | 33.33 | 1 of 3 | ||
| 66794 | octane oxidation | 33.33 | 1 of 3 | ||
| 66794 | urea cycle | 30.77 | 4 of 13 | ||
| 66794 | Entner Doudoroff pathway | 30 | 3 of 10 | ||
| 66794 | propanol degradation | 28.57 | 2 of 7 | ||
| 66794 | degradation of pentoses | 28.57 | 8 of 28 | ||
| 66794 | cholesterol biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | androgen and estrogen metabolism | 25 | 4 of 16 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | methanogenesis from CO2 | 25 | 3 of 12 | ||
| 66794 | degradation of sugar alcohols | 25 | 4 of 16 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 23.08 | 3 of 13 | ||
| 66794 | ascorbate metabolism | 22.73 | 5 of 22 |
Global distribution of 16S sequence AB088431 (>99% sequence identity) for Sulfurimonas autotrophica subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM14735v1 assembly for Sulfurimonas autotrophica DSM 16294 | complete | 563040 | 97.73 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 6277 | Sulfurimonas autotrophica gene for 16S rRNA, partial sequence, strain:OK10 | AB088431 | 1437 | 563040 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 96.40 | no |
| 125439 | motility | BacteriaNetⓘ | no | 66.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 98.70 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 97.00 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 95.88 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 62.91 | yes |
| 125438 | aerobic | aerobicⓘ | no | 78.79 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 95.50 | no |
| 125438 | thermophilic | thermophileⓘ | no | 86.74 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 72.49 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Novel M23 peptidases Pgp4, Pgp5, and Pgp6 contribute to helical cell shape in Campylobacter jejuni. | Lin CS, Vermeulen J, Biboy J, Gaynor EC, Vollmer W, Frirdich E. | Front Microbiol | 10.3389/fmicb.2025.1641976 | 2025 | ||
| FlgV forms a flagellar motor ring that is required for optimal motility of Helicobacter pylori. | Botting JM, Tachiyama S, Gibson KH, Liu J, Starai VJ, Hoover TR. | PLoS One | 10.1371/journal.pone.0287514 | 2023 | ||
| Metabolism | Capturing Compositional Variation in Denitrifying Communities: a Multiple-Primer Approach That Includes Epsilonproteobacteria. | Murdock SA, Juniper SK. | Appl Environ Microbiol | 10.1128/aem.02753-16 | 2017 | |
| Comparative analysis of amino acid sequences from mesophiles and thermophiles in respective of carbon-nitrogen hydrolase family. | Devi S, Sharma N, Savitri, Bhalla TC. | 3 Biotech | 10.1007/s13205-012-0111-3 | 2013 | ||
| Metabolism | Complete genome sequence of Sulfurimonas autotrophica type strain (OK10). | Sikorski J, Munk C, Lapidus A, Ngatchou Djao OD, Lucas S, Glavina Del Rio T, Nolan M, Tice H, Han C, Cheng JF, Tapia R, Goodwin L, Pitluck S, Liolios K, Ivanova N, Mavromatis K, Mikhailova N, Pati A, Sims D, Meincke L, Brettin T, Detter JC, Chen A, Palaniappan K, Land M, Hauser L, Chang YJ, Jeffries CD, Rohde M, Lang E, Spring S, Goker M, Woyke T, Bristow J, Eisen JA, Markowitz V, Hugenholtz P, Kyrpides NC, Klenk HP. | Stand Genomic Sci | 10.4056/sigs.1173118 | 2010 | |
| Regulation of Respiratory Pathways in Campylobacterota: A Review. | van der Stel AX, Wosten MMSM. | Front Microbiol | 10.3389/fmicb.2019.01719 | 2019 | ||
| Disproportionation of Inorganic Sulfur Compounds by Mesophilic Chemolithoautotrophic Campylobacterota. | Wang S, Jiang L, Xie S, Alain K, Wang Z, Wang J, Liu D, Shao Z. | mSystems | 10.1128/msystems.00954-22 | 2023 | ||
| Phylogeny | A proposed genus boundary for the prokaryotes based on genomic insights. | Qin QL, Xie BB, Zhang XY, Chen XL, Zhou BC, Zhou J, Oren A, Zhang YZ. | J Bacteriol | 10.1128/jb.01688-14 | 2014 | |
| Effects of Hemagglutination Activity in the Serum of a Deep-Sea Vent Endemic Crab, Shinkaia Crosnieri, on Non-Symbiotic and Symbiotic Bacteria. | Fujiyoshi S, Tateno H, Watsuji T, Yamaguchi H, Fukushima D, Mino S, Sugimura M, Sawabe T, Takai K, Sawayama S, Nakagawa S. | Microbes Environ | 10.1264/jsme2.me15066 | 2015 | ||
| Metabolism | Distribution of glucan-branching enzymes among prokaryotes. | Suzuki E, Suzuki R. | Cell Mol Life Sci | 10.1007/s00018-016-2243-9 | 2016 | |
| Metabolism | CO synthesized from the central one-carbon pool as source for the iron carbonyl in O2-tolerant [NiFe]-hydrogenase. | Burstel I, Siebert E, Frielingsdorf S, Zebger I, Friedrich B, Lenz O. | Proc Natl Acad Sci U S A | 10.1073/pnas.1614656113 | 2016 | |
| Pathogenicity | Natural hot spots for gain of multiple resistances: arsenic and antibiotic resistances in heterotrophic, aerobic bacteria from marine hydrothermal vent fields. | Farias P, Espirito Santo C, Branco R, Francisco R, Santos S, Hansen L, Sorensen S, Morais PV. | Appl Environ Microbiol | 10.1128/aem.03240-14 | 2015 | |
| Enzymology | Mechanisms and evolution of oxidative sulfur metabolism in green sulfur bacteria. | Gregersen LH, Bryant DA, Frigaard NU. | Front Microbiol | 10.3389/fmicb.2011.00116 | 2011 | |
| Quorum sensing dependent phenotypes and their molecular mechanisms in Campylobacterales. | Golz G, Sharbati S, Backert S, Alter T. | Eur J Microbiol Immunol (Bp) | 10.1556/eujmi.2.2012.1.8 | 2012 | ||
| Diversity and phylogenetic analyses of bacteria from a shallow-water hydrothermal vent in Milos island (Greece). | Giovannelli D, d'Errico G, Manini E, Yakimov M, Vetriani C. | Front Microbiol | 10.3389/fmicb.2013.00184 | 2013 | ||
| Evolution of the B-Block Binding Subunit of TFIIIC That Binds to the Internal Promoter for RNA Polymerase III. | Matsutani S. | Int J Evol Biol | 10.1155/2014/609865 | 2014 | ||
| Sulfurimonas microaerophilic sp. nov. and Sulfurimonas diazotrophicus sp. nov.: Two Novel Nitrogen-Fixing and Hydrogen- and Sulfur-Oxidizing Chemolithoautotrophs Within the Campylobacteria Isolated from Mangrove Sediments. | Zhong Y, Li Y, Wang Z, Cui L, Lv S, Zhu H, Yuan Q, Lai Q, Wang S, Jiang L. | Microorganisms | 10.3390/microorganisms13040713 | 2025 | ||
| Phylogeny | Sulfurimonas paralvinellae sp. nov., a novel mesophilic, hydrogen- and sulfur-oxidizing chemolithoautotroph within the Epsilonproteobacteria isolated from a deep-sea hydrothermal vent polychaete nest, reclassification of Thiomicrospira denitrificans as Sulfurimonas denitrificans comb. nov. and emended description of the genus Sulfurimonas. | Takai K, Suzuki M, Nakagawa S, Miyazaki M, Suzuki Y, Inagaki F, Horikoshi K. | Int J Syst Evol Microbiol | 10.1099/ijs.0.64255-0 | 2006 | |
| Genetics | Non-contiguous finished genome sequence and description of Sulfurimonas hongkongensis sp. nov., a strictly anaerobic denitrifying, hydrogen- and sulfur-oxidizing chemolithoautotroph isolated from marine sediment. | Cai L, Shao MF, Zhang T. | Stand Genomic Sci | 10.4056/sigs.4948668 | 2014 | |
| Phylogeny | Sulfurimonas autotrophica gen. nov., sp. nov., a novel sulfur-oxidizing epsilon-proteobacterium isolated from hydrothermal sediments in the Mid-Okinawa Trough. | Inagaki F, Takai K, Kobayashi H, Nealson KH, Horikoshi K | Int J Syst Evol Microbiol | 10.1099/ijs.0.02682-0 | 2003 |
| #6277 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 16294 |
| #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) . |
| #66793 | Mukherjee et al.: GEBA: 1,003 reference genomes of bacterial and archaeal isolates expand coverage of the tree of life. 35: 676 - 683 2017 ( DOI 10.1038/nbt.3886 , PubMed 28604660 ) |
| #66794 | Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 ) |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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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