Wolinella succinogenes DSM 1740 is an anaerobe bacterium that was isolated from bovine rumen fluid.
anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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|
| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Epsilonproteobacteria |
| Order Campylobacterales |
| Family Helicobacteraceae |
| Genus Wolinella |
| Species Wolinella succinogenes |
| Full scientific name Wolinella succinogenes (Wolin et al. 1961) Tanner et al. 1981 |
| Synonyms (1) |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125438 | negative | 96.977 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 895 | WOLINELLA MEDIUM (DSMZ Medium 157) | Medium recipe at MediaDive | Name: WOLINELLA MEDIUM (DSMZ Medium 157) Composition: K2HPO4 5.0 g/l Na2-fumarate 4.0 g/l Na-formate 3.0 g/l Yeast extract 1.0 g/l (NH4)2SO4 1.0 g/l Na2S x 9 H2O 0.3 g/l L-Cysteine HCl x H2O 0.3 g/l MgCl2 x 6 H2O 0.2 g/l FeSO4 x 7 H2O 0.02 g/l Sodium resazurin 0.0005 g/l Distilled water |
| 895 | CompoundL asparaginase |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | biotin biosynthesis | 100 | 4 of 4 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | kanosamine biosynthesis II | 100 | 2 of 2 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | CMP-KDO biosynthesis | 100 | 4 of 4 | ||
| 66794 | tetrahydrofolate metabolism | 100 | 14 of 14 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | palmitate biosynthesis | 95.45 | 21 of 22 | ||
| 66794 | aspartate and asparagine metabolism | 88.89 | 8 of 9 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | lipid A biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | photosynthesis | 85.71 | 12 of 14 | ||
| 66794 | reductive acetyl coenzyme A pathway | 85.71 | 6 of 7 | ||
| 66794 | ubiquinone biosynthesis | 85.71 | 6 of 7 | ||
| 66794 | 1,4-dihydroxy-6-naphthoate biosynthesis | 83.33 | 5 of 6 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | glycine betaine biosynthesis | 80 | 4 of 5 | ||
| 66794 | methylglyoxal degradation | 80 | 4 of 5 | ||
| 66794 | threonine metabolism | 80 | 8 of 10 | ||
| 66794 | heme metabolism | 78.57 | 11 of 14 | ||
| 66794 | NAD metabolism | 77.78 | 14 of 18 | ||
| 66794 | molybdenum cofactor biosynthesis | 77.78 | 7 of 9 | ||
| 66794 | valine metabolism | 77.78 | 7 of 9 | ||
| 66794 | serine metabolism | 77.78 | 7 of 9 | ||
| 66794 | vitamin B1 metabolism | 76.92 | 10 of 13 | ||
| 66794 | isoleucine metabolism | 75 | 6 of 8 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | glutamate and glutamine metabolism | 71.43 | 20 of 28 | ||
| 66794 | leucine metabolism | 69.23 | 9 of 13 | ||
| 66794 | alanine metabolism | 68.97 | 20 of 29 | ||
| 66794 | purine metabolism | 68.09 | 64 of 94 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | flavin biosynthesis | 66.67 | 10 of 15 | ||
| 66794 | selenocysteine biosynthesis | 66.67 | 4 of 6 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | formaldehyde oxidation | 66.67 | 2 of 3 | ||
| 66794 | pyrimidine metabolism | 64.44 | 29 of 45 | ||
| 66794 | vitamin B6 metabolism | 63.64 | 7 of 11 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | gluconeogenesis | 62.5 | 5 of 8 | ||
| 66794 | C4 and CAM-carbon fixation | 62.5 | 5 of 8 | ||
| 66794 | methionine metabolism | 61.54 | 16 of 26 | ||
| 66794 | phenylalanine metabolism | 61.54 | 8 of 13 | ||
| 66794 | cellulose degradation | 60 | 3 of 5 | ||
| 66794 | hydrogen production | 60 | 3 of 5 | ||
| 66794 | citric acid cycle | 57.14 | 8 of 14 | ||
| 66794 | lysine metabolism | 57.14 | 24 of 42 | ||
| 66794 | oxidative phosphorylation | 56.04 | 51 of 91 | ||
| 66794 | cysteine metabolism | 55.56 | 10 of 18 | ||
| 66794 | d-mannose degradation | 55.56 | 5 of 9 | ||
| 66794 | nitrate assimilation | 55.56 | 5 of 9 | ||
| 66794 | proline metabolism | 54.55 | 6 of 11 | ||
| 66794 | sulfate reduction | 53.85 | 7 of 13 | ||
| 66794 | isoprenoid biosynthesis | 53.85 | 14 of 26 | ||
| 66794 | urea cycle | 53.85 | 7 of 13 | ||
| 66794 | polyamine pathway | 52.17 | 12 of 23 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 50 | 6 of 12 | ||
| 66794 | cis-vaccenate biosynthesis | 50 | 1 of 2 | ||
| 66794 | adipate degradation | 50 | 1 of 2 | ||
| 66794 | glycolate and glyoxylate degradation | 50 | 3 of 6 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | glycogen biosynthesis | 50 | 2 of 4 | ||
| 66794 | lactate fermentation | 50 | 2 of 4 | ||
| 66794 | histidine metabolism | 48.28 | 14 of 29 | ||
| 66794 | tryptophan metabolism | 47.37 | 18 of 38 | ||
| 66794 | non-pathway related | 47.37 | 18 of 38 | ||
| 66794 | glycolysis | 47.06 | 8 of 17 | ||
| 66794 | arginine metabolism | 45.83 | 11 of 24 | ||
| 66794 | CO2 fixation in Crenarchaeota | 44.44 | 4 of 9 | ||
| 66794 | degradation of hexoses | 44.44 | 8 of 18 | ||
| 66794 | tyrosine metabolism | 42.86 | 6 of 14 | ||
| 66794 | propanol degradation | 42.86 | 3 of 7 | ||
| 66794 | cardiolipin biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | glutathione metabolism | 42.86 | 6 of 14 | ||
| 66794 | coenzyme M biosynthesis | 40 | 4 of 10 | ||
| 66794 | glycine metabolism | 40 | 4 of 10 | ||
| 66794 | starch degradation | 40 | 4 of 10 | ||
| 66794 | metabolism of amino sugars and derivatives | 40 | 2 of 5 | ||
| 66794 | ketogluconate metabolism | 37.5 | 3 of 8 | ||
| 66794 | pentose phosphate pathway | 36.36 | 4 of 11 | ||
| 66794 | pantothenate biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | enterobactin biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | L-lactaldehyde degradation | 33.33 | 1 of 3 | ||
| 66794 | cyanate degradation | 33.33 | 1 of 3 | ||
| 66794 | ascorbate metabolism | 31.82 | 7 of 22 | ||
| 66794 | propionate fermentation | 30 | 3 of 10 | ||
| 66794 | lipid metabolism | 29.03 | 9 of 31 | ||
| 66794 | benzoyl-CoA degradation | 28.57 | 2 of 7 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | dTDPLrhamnose biosynthesis | 25 | 2 of 8 | ||
| 66794 | butanoate fermentation | 25 | 1 of 4 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | degradation of pentoses | 25 | 7 of 28 | ||
| 66794 | phenylpropanoid biosynthesis | 23.08 | 3 of 13 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Mammals | #Bovinae (Cow, Cattle) | |
| #Host Body-Site | #Organ | #Rumen |
Global distribution of 16S sequence M88159 (>99% sequence identity) for Wolinella succinogenes subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM19613v1 assembly for Wolinella succinogenes DSM 1740 DSMZ 1740 | complete | 273121 | 98.61 | ||||
| 66792 | 50569_E01 assembly for Wolinella succinogenes NCTC11488 | complete | 844 | 98.57 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 94.30 | no |
| 125439 | motility | BacteriaNetⓘ | no | 61.60 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 85.20 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 96.80 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 96.98 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 65.41 | yes |
| 125438 | aerobic | aerobicⓘ | no | 87.81 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 93.81 | no |
| 125438 | thermophilic | thermophileⓘ | no | 87.27 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 71.82 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
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| - Invited Review - Hydrogen production and hydrogen utilization in the rumen: key to mitigating enteric methane production. | Mackie RI, Kim H, Kim NK, Cann I. | Anim Biosci | 10.5713/ab.23.0294 | 2024 | ||
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| In silico Analysis Suggests Common Appearance of scaRNAs in Type II Systems and Their Association With Bacterial Virulence. | Guzina J, Chen WH, Stankovic T, Djordjevic M, Zdobnov E, Djordjevic M. | Front Genet | 10.3389/fgene.2018.00474 | 2018 | ||
| Regulation of Respiratory Pathways in Campylobacterota: A Review. | van der Stel AX, Wosten MMSM. | Front Microbiol | 10.3389/fmicb.2019.01719 | 2019 | ||
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| Phylogeny | Whole genome-based phylogeny of reptile-associated Helicobacter indicates independent niche adaptation followed by diversification in a poikilothermic host. | Gilbert MJ, Duim B, Timmerman AJ, Zomer AL, Wagenaar JA. | Sci Rep | 10.1038/s41598-017-09091-7 | 2017 | |
| Metabolism | Characterization of variations within the rumen metaproteome of Holstein dairy cattle relative to morning feed offering. | Honan MC, Greenwood SL. | Sci Rep | 10.1038/s41598-020-59974-5 | 2020 | |
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| Genetics | Single-stranded DNA recruitment mechanism in replication origin unwinding by DnaA initiator protein and HU, an evolutionary ubiquitous nucleoid protein. | Yoshida R, Ozaki S, Kawakami H, Katayama T. | Nucleic Acids Res | 10.1093/nar/gkad389 | 2023 | |
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| Transcriptome | Investigating the Campylobacter jejuni Transcriptional Response to Host Intestinal Extracts Reveals the Involvement of a Widely Conserved Iron Uptake System. | Liu MM, Boinett CJ, Chan ACK, Parkhill J, Murphy MEP, Gaynor EC. | mBio | 10.1128/mbio.01347-18 | 2018 | |
| Pan-genome analysis of human gastric pathogen H. pylori: comparative genomics and pathogenomics approaches to identify regions associated with pathogenicity and prediction of potential core therapeutic targets. | Ali A, Naz A, Soares SC, Bakhtiar M, Tiwari S, Hassan SS, Hanan F, Ramos R, Pereira U, Barh D, Figueiredo HC, Ussery DW, Miyoshi A, Silva A, Azevedo V. | Biomed Res Int | 10.1155/2015/139580 | 2015 | ||
| Distribution and Genetic Diversity of Bacteriocin Gene Clusters in Rumen Microbial Genomes. | Azevedo AC, Bento CB, Ruiz JC, Queiroz MV, Mantovani HC. | Appl Environ Microbiol | 10.1128/aem.01223-15 | 2015 | ||
| Effect of Temperature and Cell Viability on Uranium Biomineralization by the Uranium Mine Isolate Penicillium simplicissimum. | Schaefer S, Steudtner R, Hubner R, Krawczyk-Barsch E, Merroun ML. | Front Microbiol | 10.3389/fmicb.2021.802926 | 2021 | ||
| Enzymology | Production, characterization and determination of the real catalytic properties of the putative 'succinate dehydrogenase' from Wolinella succinogenes. | Juhnke HD, Hiltscher H, Nasiri HR, Schwalbe H, Lancaster CR. | Mol Microbiol | 10.1111/j.1365-2958.2008.06581.x | 2009 | |
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| The ha72 core gene of baculovirus is essential for budded virus production and occlusion-derived virus embedding, and amino acid K22 plays an important role in its function. | Huang H, Wang M, Deng F, Hou D, Arif BM, Wang H, Hu Z. | J Virol | 10.1128/jvi.02281-13 | 2014 | ||
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| #895 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 1740 |
| #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 ) |
| #45898 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 13145 |
| #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) . |
| #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 . |
| #124043 | Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy . |
| #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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