Corynebacterium stationis 622 is an aerobe, Gram-positive, rod-shaped bacterium that was isolated from seawater.
Gram-positive rod-shaped aerobe genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Mycobacteriales |
| Family Corynebacteriaceae |
| Genus Corynebacterium |
| Species Corynebacterium stationis |
| Full scientific name Corynebacterium stationis (ZoBell and Upham 1944) Bernard et al. 2010 |
| Synonyms (2) |
| BacDive ID | Other strains from Corynebacterium stationis (5) | Type strain |
|---|---|---|
| 3079 | C. stationis DSM 20305, ATCC 6872, IAM 1645, NCTC 2399, ... | |
| 100905 | C. stationis ST033372(HKI), | |
| 130266 | C. stationis G1CH1, DSM 26547 | |
| 136014 | C. stationis CIP 101282, NCIMB 9154, CCUG 43498 | |
| 158891 | C. stationis BL-383-APC-3D, DSM 107248 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 19791 | ISP 2 | Name: ISP 2 / Yeast Malt Agar (5265); 5265 Composition Malt extract 10.0 g/l Yeast extract 4.0 g/l Glucose 4.0 g/l Agar 15.0 g/l Preparation: Sterilisation: 20 minutes at 121°C pH before sterilisation: 7.0 Usage: Maintenance and Taxonomy Organisms: All Actinomycetes | |||
| 19791 | ISP 3 | Name: ISP 3; 5315 Composition Dog oat flakes 20.0 g/l Trace element solution (5314) 2.5 ml/l Agar 18.0 g/l Preparation: Oat flakes are cooked for 20 minutes, trace element solution and agar are added (in the case of non rolled oat flakes the suspension has to bee filtrated). Sterilisation: 20 minutes at 121°C pH before sterilisation: 7.8 Usage: Maintenance and taxonomy (e.g. SEM As liquid medium for metabolite production) Organisms: All Actinomycetes Trace element solution 5314 Name: Trace element solution 5314; 5314 Composition CaCl2 x H2O 3.0 g/l Fe-III-citrate 1.0 g/l MnSO4 0.2 g/l ZnCl2 0.1 g/l CuSO4 x 5 H2O 0.025 g/l Sodium tetra borate 0.2 g/l CoCl2 x 6 H2O 0.004 g/l Sodium molybdate 0.01 g/l Preparation: Use double destillated water. Sterilisation: 20 minutes at 121°C pH before sterilisation: Usage: Trace element solution for different media Organisms: | |||
| 19791 | ISP 4 | Name: ISP 4; DSM 547 Solution I: Difco soluble starch, 10.0 g. Make a paste of the starch with a small amount of cold distilled water and bring to a volume of 500 ml. Solution II: CaCO3 2.0 g K2HPO4 (anhydrous) 1.0 g MgSO4 x 7 H2O 1.0 g NaCl 1.0 g (NH4)2SO4 2.0 g Distilled water 500.0 ml Trace salt solution (see below) 1.0 ml The pH should be between 7.0 and 7.4. Do not adjust if it is within this range. Mix solutions I and II together. Add 20.0 g agar. Liquify agar by steaming at 100°C for 10 to 20 min. Trace element solution: FeSO4 x 7 H2O 0.1 g MnCl2 x 4 H2O 0.1 g ZnSO4 x 7 H2O 0.1 g Distilled water 100.0 ml | |||
| 19791 | ISP 6 | Name: ISP 6 (5318) Composition Peptone 15.0 g/l Proteose peptose 5.0 g/l Ferric ammonium citrate 0.5 g/l Sodium glycerophosphate 1.0 g/l Sodium thiosulfate 0.08 g/l Yeast extract 1.0 g/l Agar 15.0 g/l Sterilisation: 20 minutes at 121°C pH before sterilisation: Usage: Production of melanoid pigments Organisms: All Actinomycetes | |||
| 19791 | ISP 7 | Name: ISP 7 (5322) Composition Glycerol 15.0 g/l L-Tyrosine 0.5 g/l L-Asparagine 1.0 g/l K2HPO4 0.5 g/l NaCl 0.5 g/l FeSO4 x 7 H2O 0.01 g/l Trace element solution 5343 1.0 ml/l Agar 20.0 Sterilisation: 20 minutes at 121°C pH before sterilisation: 7.3 Usage: Production of melanoid pigments Organisms: All Actinomycetes | |||
| 8705 | CORYNEBACTERIUM AGAR (DSMZ Medium 53) | Medium recipe at MediaDive | Name: CORYNEBACTERIUM AGAR (DSMZ Medium 53) Composition: Agar 15.0 g/l Casein peptone 10.0 g/l NaCl 5.0 g/l Glucose 5.0 g/l Yeast extract 5.0 g/l Distilled water | ||
| 34926 | MEDIUM 72- for trypto casein soja agar | Distilled water make up to (1000.000 ml);Trypto casein soy agar (40.000 g) | |||
| 123295 | CIP Medium 72 | Medium recipe at CIP |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 90.1 |
| @ref | Murein short key | Type | |
|---|---|---|---|
| 8705 | A31 | A1gamma m-Dpm-direct |
| 67770 | Observationquinones: MK-8(H2), MK-9(H2) |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68371 | 27613 ChEBI | amygdalin | - | builds acid from | from API 50CH acid |
| 19791 | 22599 ChEBI | arabinose | - | ||
| 68371 | 18305 ChEBI | arbutin | - | builds acid from | from API 50CH acid |
| 68368 | 29016 ChEBI | arginine | - | hydrolysis | from API 20E |
| 68371 | 17057 ChEBI | cellobiose | - | builds acid from | from API 50CH acid |
| 19791 | 62968 ChEBI | cellulose | - | ||
| 123295 | 16947 ChEBI | citrate | - | carbon source | |
| 68368 | 16947 ChEBI | citrate | + | assimilation | from API 20E |
| 68371 | 18333 ChEBI | D-arabitol | + | builds acid from | from API 50CH acid |
| 68371 | 15824 ChEBI | D-fructose | + | builds acid from | from API 50CH acid |
| 68371 | 28847 ChEBI | D-fucose | - | builds acid from | from API 50CH acid |
| 68371 | 12936 ChEBI | D-galactose | - | builds acid from | from API 50CH acid |
| 68371 | 17634 ChEBI | D-glucose | + | builds acid from | from API 50CH acid |
| 68371 | 62318 ChEBI | D-lyxose | - | builds acid from | from API 50CH acid |
| 68379 | 16899 ChEBI | D-mannitol | - | fermentation | from API Coryne |
| 68371 | 16899 ChEBI | D-mannitol | - | builds acid from | from API 50CH acid |
| 68371 | 16024 ChEBI | D-mannose | + | builds acid from | from API 50CH acid |
| 68371 | 16988 ChEBI | D-ribose | + | builds acid from | from API 50CH acid |
| 68371 | 17924 ChEBI | D-sorbitol | - | builds acid from | from API 50CH acid |
| 68371 | 16443 ChEBI | D-tagatose | - | builds acid from | from API 50CH acid |
| 68379 | 65327 ChEBI | D-xylose | - | fermentation | from API Coryne |
| 68371 | 65327 ChEBI | D-xylose | - | builds acid from | from API 50CH acid |
| 68371 | 17113 ChEBI | erythritol | - | builds acid from | from API 50CH acid |
| 68379 | 4853 ChEBI | esculin | - | hydrolysis | from API Coryne |
| 123295 | 4853 ChEBI | esculin | - | hydrolysis | |
| 68371 | 4853 ChEBI | esculin | - | builds acid from | from API 50CH acid |
| 19791 | 28757 ChEBI | fructose | - | ||
| 68371 | 16813 ChEBI | galactitol | - | builds acid from | from API 50CH acid |
| 68368 | 5291 ChEBI | gelatin | + | hydrolysis | from API 20E |
| 68371 | 28066 ChEBI | gentiobiose | - | builds acid from | from API 50CH acid |
| 68371 | 24265 ChEBI | gluconate | - | builds acid from | from API 50CH acid |
| 19791 | 17234 ChEBI | glucose | + | ||
| 68371 | 17754 ChEBI | glycerol | - | builds acid from | from API 50CH acid |
| 68379 | 28087 ChEBI | glycogen | - | fermentation | from API Coryne |
| 68371 | 28087 ChEBI | glycogen | - | builds acid from | from API 50CH acid |
| 123295 | 606565 ChEBI | hippurate | + | hydrolysis | |
| 68371 | 15443 ChEBI | inulin | - | builds acid from | from API 50CH acid |
| 68371 | 30849 ChEBI | L-arabinose | - | builds acid from | from API 50CH acid |
| 68371 | 18403 ChEBI | L-arabitol | - | builds acid from | from API 50CH acid |
| 68371 | 18287 ChEBI | L-fucose | + | builds acid from | from API 50CH acid |
| 68371 | 62345 ChEBI | L-rhamnose | - | builds acid from | from API 50CH acid |
| 68371 | 17266 ChEBI | L-sorbose | - | builds acid from | from API 50CH acid |
| 68371 | 65328 ChEBI | L-xylose | - | builds acid from | from API 50CH acid |
| 68379 | 17716 ChEBI | lactose | - | fermentation | from API Coryne |
| 68371 | 17716 ChEBI | lactose | - | builds acid from | from API 50CH acid |
| 68368 | 25094 ChEBI | lysine | - | degradation | from API 20E |
| 68379 | 17306 ChEBI | maltose | - | fermentation | from API Coryne |
| 68371 | 17306 ChEBI | maltose | - | builds acid from | from API 50CH acid |
| 19791 | 29864 ChEBI | mannitol | - | ||
| 68371 | 6731 ChEBI | melezitose | - | builds acid from | from API 50CH acid |
| 68371 | 28053 ChEBI | melibiose | - | builds acid from | from API 50CH acid |
| 68371 | 320061 ChEBI | methyl alpha-D-glucopyranoside | - | builds acid from | from API 50CH acid |
| 68371 | 43943 ChEBI | methyl alpha-D-mannoside | - | builds acid from | from API 50CH acid |
| 68371 | 74863 ChEBI | methyl beta-D-xylopyranoside | - | builds acid from | from API 50CH acid |
| 19791 | 17268 ChEBI | myo-inositol | + | ||
| 68371 | 17268 ChEBI | myo-inositol | - | builds acid from | from API 50CH acid |
| 68371 | 59640 ChEBI | N-acetylglucosamine | - | builds acid from | from API 50CH acid |
| 123295 | 17632 ChEBI | nitrate | + | reduction | |
| 123295 | 17632 ChEBI | nitrate | + | respiration | |
| 123295 | 16301 ChEBI | nitrite | - | reduction | |
| 68368 | 18257 ChEBI | ornithine | - | degradation | from API 20E |
| 68371 | Potassium 2-ketogluconate | - | builds acid from | from API 50CH acid | |
| 68371 | Potassium 5-ketogluconate | - | builds acid from | from API 50CH acid | |
| 19791 | 16634 ChEBI | raffinose | - | ||
| 68371 | 16634 ChEBI | raffinose | - | builds acid from | from API 50CH acid |
| 19791 | 26546 ChEBI | rhamnose | - | ||
| 68371 | 15963 ChEBI | ribitol | - | builds acid from | from API 50CH acid |
| 68371 | 17814 ChEBI | salicin | - | builds acid from | from API 50CH acid |
| 68371 | 28017 ChEBI | starch | - | builds acid from | from API 50CH acid |
| 19791 | 17992 ChEBI | sucrose | - | ||
| 68371 | 17992 ChEBI | sucrose | - | builds acid from | from API 50CH acid |
| 68371 | 27082 ChEBI | trehalose | - | builds acid from | from API 50CH acid |
| 68368 | 27897 ChEBI | tryptophan | + | energy source | from API 20E |
| 68371 | 32528 ChEBI | turanose | - | builds acid from | from API 50CH acid |
| 68368 | 16199 ChEBI | urea | + | hydrolysis | from API 20E |
| 68371 | 17151 ChEBI | xylitol | - | builds acid from | from API 50CH acid |
| 19791 | 18222 ChEBI | xylose | - |
| @ref | Metabolite | Is sensitive | Is resistant | |
|---|---|---|---|---|
| 123295 | 0129 (2,4-Diamino-6,7-di-iso-propylpteridine phosphate) |
| @ref | Value | Activity | Ec | |
|---|---|---|---|---|
| 68382 | acid phosphatase | - | 3.1.3.2 | from API zym |
| 123295 | alcohol dehydrogenase | - | 1.1.1.1 | |
| 68382 | alpha-chymotrypsin | - | 3.4.21.1 | from API zym |
| 68382 | alpha-fucosidase | - | 3.2.1.51 | from API zym |
| 68382 | alpha-galactosidase | - | 3.2.1.22 | from API zym |
| 68382 | alpha-glucosidase | - | 3.2.1.20 | from API zym |
| 68379 | alpha-glucosidase | - | 3.2.1.20 | from API Coryne |
| 68382 | alpha-mannosidase | - | 3.2.1.24 | from API zym |
| 123295 | amylase | + | ||
| 68368 | arginine dihydrolase | - | 3.5.3.6 | from API 20E |
| 68382 | beta-galactosidase | - | 3.2.1.23 | from API zym |
| 123295 | beta-galactosidase | - | 3.2.1.23 | |
| 68368 | beta-galactosidase | - | 3.2.1.23 | from API 20E |
| 68382 | beta-glucosidase | - | 3.2.1.21 | from API zym |
| 68379 | beta-glucosidase | - | 3.2.1.21 | from API Coryne |
| 68382 | beta-glucuronidase | - | 3.2.1.31 | from API zym |
| 123295 | caseinase | - | 3.4.21.50 | |
| 123295 | catalase | + | 1.11.1.6 | |
| 68379 | catalase | + | 1.11.1.6 | from API Coryne |
| 68382 | cystine arylamidase | - | 3.4.11.3 | from API zym |
| 123295 | DNase | - | ||
| 68382 | esterase lipase (C 8) | + | from API zym | |
| 123295 | gamma-glutamyltransferase | - | 2.3.2.2 | |
| 123295 | gelatinase | - | ||
| 68368 | gelatinase | + | from API 20E | |
| 123295 | lecithinase | - | ||
| 123295 | lipase | - | ||
| 68382 | lipase (C 14) | - | from API zym | |
| 123295 | lysine decarboxylase | - | 4.1.1.18 | |
| 68368 | lysine decarboxylase | - | 4.1.1.18 | from API 20E |
| 68382 | N-acetyl-beta-glucosaminidase | - | 3.2.1.52 | from API zym |
| 68379 | N-acetyl-beta-glucosaminidase | - | 3.2.1.52 | from API Coryne |
| 68382 | naphthol-AS-BI-phosphohydrolase | + | from API zym | |
| 123295 | ornithine decarboxylase | - | 4.1.1.17 | |
| 68368 | ornithine decarboxylase | - | 4.1.1.17 | from API 20E |
| 123295 | oxidase | + | ||
| 123295 | phenylalanine ammonia-lyase | - | 4.3.1.24 | |
| 123295 | tryptophan deaminase | - | ||
| 68368 | tryptophan deaminase | - | 4.1.99.1 | from API 20E |
| 123295 | tween esterase | + | ||
| 123295 | urease | + | 3.5.1.5 | |
| 68368 | urease | + | 3.5.1.5 | from API 20E |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | denitrification | 100 | 2 of 2 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | gallate degradation | 100 | 5 of 5 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | acetate fermentation | 100 | 4 of 4 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | aspartate and asparagine metabolism | 100 | 9 of 9 | ||
| 66794 | ethanol fermentation | 100 | 2 of 2 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | phenylacetate degradation (aerobic) | 100 | 5 of 5 | ||
| 66794 | vitamin B1 metabolism | 92.31 | 12 of 13 | ||
| 66794 | starch degradation | 90 | 9 of 10 | ||
| 66794 | threonine metabolism | 90 | 9 of 10 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | CO2 fixation in Crenarchaeota | 88.89 | 8 of 9 | ||
| 66794 | valine metabolism | 88.89 | 8 of 9 | ||
| 66794 | peptidoglycan biosynthesis | 86.67 | 13 of 15 | ||
| 66794 | palmitate biosynthesis | 86.36 | 19 of 22 | ||
| 66794 | photosynthesis | 85.71 | 12 of 14 | ||
| 66794 | phenylalanine metabolism | 84.62 | 11 of 13 | ||
| 66794 | glycolate and glyoxylate degradation | 83.33 | 5 of 6 | ||
| 66794 | pentose phosphate pathway | 81.82 | 9 of 11 | ||
| 66794 | lipoate biosynthesis | 80 | 4 of 5 | ||
| 66794 | flavin biosynthesis | 80 | 12 of 15 | ||
| 66794 | glycogen metabolism | 80 | 4 of 5 | ||
| 66794 | myo-inositol biosynthesis | 80 | 8 of 10 | ||
| 66794 | vitamin K metabolism | 80 | 4 of 5 | ||
| 66794 | phenol degradation | 80 | 16 of 20 | ||
| 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 | serine metabolism | 77.78 | 7 of 9 | ||
| 66794 | C4 and CAM-carbon fixation | 75 | 6 of 8 | ||
| 66794 | gluconeogenesis | 75 | 6 of 8 | ||
| 66794 | glutamate and glutamine metabolism | 75 | 21 of 28 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | ketogluconate metabolism | 75 | 6 of 8 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | isoleucine metabolism | 75 | 6 of 8 | ||
| 66794 | biotin biosynthesis | 75 | 3 of 4 | ||
| 66794 | butanoate fermentation | 75 | 3 of 4 | ||
| 66794 | metabolism of disaccharids | 72.73 | 8 of 11 | ||
| 66794 | proline metabolism | 72.73 | 8 of 11 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | reductive acetyl coenzyme A pathway | 71.43 | 5 of 7 | ||
| 66794 | propanol degradation | 71.43 | 5 of 7 | ||
| 66794 | citric acid cycle | 71.43 | 10 of 14 | ||
| 66794 | glycolysis | 70.59 | 12 of 17 | ||
| 66794 | urea cycle | 69.23 | 9 of 13 | ||
| 66794 | purine metabolism | 68.09 | 64 of 94 | ||
| 66794 | enterobactin biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | selenocysteine biosynthesis | 66.67 | 4 of 6 | ||
| 66794 | d-mannose degradation | 66.67 | 6 of 9 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | alanine metabolism | 65.52 | 19 of 29 | ||
| 66794 | histidine metabolism | 65.52 | 19 of 29 | ||
| 66794 | methionine metabolism | 65.38 | 17 of 26 | ||
| 66794 | pyrimidine metabolism | 64.44 | 29 of 45 | ||
| 66794 | tetrahydrofolate metabolism | 64.29 | 9 of 14 | ||
| 66794 | oxidative phosphorylation | 62.64 | 57 of 91 | ||
| 66794 | arginine metabolism | 62.5 | 15 of 24 | ||
| 66794 | dTDPLrhamnose biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | degradation of sugar alcohols | 62.5 | 10 of 16 | ||
| 66794 | isoprenoid biosynthesis | 61.54 | 16 of 26 | ||
| 66794 | leucine metabolism | 61.54 | 8 of 13 | ||
| 66794 | lipid metabolism | 61.29 | 19 of 31 | ||
| 66794 | tryptophan metabolism | 60.53 | 23 of 38 | ||
| 66794 | metabolism of amino sugars and derivatives | 60 | 3 of 5 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 60 | 6 of 10 | ||
| 66794 | 3-chlorocatechol degradation | 60 | 3 of 5 | ||
| 66794 | 3-phenylpropionate degradation | 60 | 9 of 15 | ||
| 66794 | propionate fermentation | 60 | 6 of 10 | ||
| 66794 | lysine metabolism | 59.52 | 25 of 42 | ||
| 66794 | androgen and estrogen metabolism | 56.25 | 9 of 16 | ||
| 66794 | cysteine metabolism | 55.56 | 10 of 18 | ||
| 66794 | 4-hydroxymandelate degradation | 55.56 | 5 of 9 | ||
| 66794 | degradation of pentoses | 53.57 | 15 of 28 | ||
| 66794 | kanosamine biosynthesis II | 50 | 1 of 2 | ||
| 66794 | Entner Doudoroff pathway | 50 | 5 of 10 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | cis-vaccenate biosynthesis | 50 | 1 of 2 | ||
| 66794 | resorcinol degradation | 50 | 1 of 2 | ||
| 66794 | CMP-KDO biosynthesis | 50 | 2 of 4 | ||
| 66794 | quinate degradation | 50 | 1 of 2 | ||
| 66794 | dolichol and dolichyl phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | tyrosine metabolism | 50 | 7 of 14 | ||
| 66794 | non-pathway related | 50 | 19 of 38 | ||
| 66794 | mannosylglycerate biosynthesis | 50 | 1 of 2 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | lipid A biosynthesis | 44.44 | 4 of 9 | ||
| 66794 | glutathione metabolism | 42.86 | 6 of 14 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 41.67 | 5 of 12 | ||
| 66794 | carotenoid biosynthesis | 40.91 | 9 of 22 | ||
| 66794 | glycine betaine biosynthesis | 40 | 2 of 5 | ||
| 66794 | glycine metabolism | 40 | 4 of 10 | ||
| 66794 | degradation of hexoses | 38.89 | 7 of 18 | ||
| 66794 | sulfate reduction | 38.46 | 5 of 13 | ||
| 66794 | vitamin B6 metabolism | 36.36 | 4 of 11 | ||
| 66794 | d-xylose degradation | 36.36 | 4 of 11 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | nitrate assimilation | 33.33 | 3 of 9 | ||
| 66794 | cyanate degradation | 33.33 | 1 of 3 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | coenzyme M biosynthesis | 30 | 3 of 10 | ||
| 66794 | ubiquinone biosynthesis | 28.57 | 2 of 7 | ||
| 66794 | arachidonic acid metabolism | 27.78 | 5 of 18 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | daunorubicin biosynthesis | 22.22 | 2 of 9 |
| @ref | Control | Alkaline phosphatase | Esterase (C 4) | 2-naphtyl caprylateEsterase Lipase (C 8) | Lipase (C 14) | L-leucyl-2-naphthylamideLeucine arylamidase | L-valyl-2-naphthylamideValine arylamidase | L-cystyl-2-naphthylamideCystine arylamidase | Trypsin | alpha- Chymotrypsin | Acid phosphatase | Naphthol-AS-BI-phosphateNaphthol-AS-BI-phosphohydrolase | alpha- Galactosidase | beta- Galactosidase | beta- Glucuronidase | alpha- Glucosidase | beta- Glucosidase | N-acetyl-beta- glucosaminidase | alpha- Mannosidase | alpha- Fucosidase | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 19791 | not determinedn.d. | + | - | + | - | + | + | - | - | - | - | + | - | - | - | - | - | - | - | - | |
| 55900 | - | - | + | + | - | - | - | - | - | - | - | + | - | - | - | - | - | - | - | - | |
| 123295 | - | + | + | + | - | + | - | - | + | - | - | + | - | - | - | - | - | - | - | - |
| @ref | ControlQ | GLY | ERY | DARA | LARA | RIB | DXYL | LXYL | ADO | MDX | GAL | GLU | FRU | MNE | SBE | RHA | DUL | INO | MAN | SOR | MDM | MDG | NAG | AMY | ARB | ESC | SAL | CEL | MAL | LAC | MEL | SAC | TRE | INU | MLZ | RAF | AMD | GLYG | XLT | GEN | TUR | LYX | TAG | DFUC | LFUC | DARL | LARL | GNT | 2KG | 5KG | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123295 | not determinedn.d. | - | - | +/- | - | + | - | - | - | - | - | + | + | + | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | + | + | - | - | - | - |
Global distribution of 16S sequence FJ172667 (>99% sequence identity) for Corynebacterium stationis subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 66792 | ASM194134v1 assembly for Corynebacterium stationis 622=DSM 20302 | complete | 1705 | 98.79 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 8705 | Corynebacterium stationis strain ATCC 14403 16S ribosomal RNA gene, partial sequence | FJ172667 | 1447 | 1705 | ||
| 67770 | Brevibacterium stationis partial 16S rRNA gene, type strain LMG 21670T | AJ620367 | 1475 | 1705 | ||
| 124043 | Corynebacterium stationis strain DSM 20302(T) 16S ribosomal RNA gene, partial sequence. | MN686693 | 404 | 1705 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 90.10 | no |
| 125439 | motility | BacteriaNetⓘ | no | 72.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 72.30 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 79.00 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 90.59 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 94.26 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 70.75 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 77.79 | no |
| 125438 | thermophilic | thermophileⓘ | no | 93.50 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 92.00 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | A 16S rRNA Gene and Draft Genome Database for the Murine Oral Bacterial Community. | Joseph S, Aduse-Opoku J, Hashim A, Hanski E, Streich R, Knowles SCL, Pedersen AB, Wade WG, Curtis MA. | mSystems | 10.1128/msystems.01222-20 | 2021 | |
| Update of the list of qualified presumption of safety (QPS) recommended microbiological agents intentionally added to food or feed as notified to EFSA 22: Suitability of taxonomic units notified to EFSA until March 2025. | EFSA Panel on Biological Hazards (BIOHAZ), Allende A, Alvarez-Ordonez A, Bortolaia V, Bover-Cid S, De Cesare A, Dohmen W, Guillier L, Jacxsens L, Nauta M, Mughini-Gras L, Ottoson J, Peixe L, Perez-Rodriguez F, Skandamis P, Suffredini E, Cocconcelli PS, Fernandez Escamez PS, Maradona MP, Querol A, Sijtsma L, Suarez JE, Chemaly M, Sundh I, Barizzone F, Dastouet J, Doyle N, Correia S, Herman L. | EFSA J | 10.2903/j.efsa.2025.9510 | 2025 | ||
| Update of the list of QPS-recommended biological agents intentionally added to food or feed as notified to EFSA 14: suitability of taxonomic units notified to EFSA until March 2021. | EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis K, Allende A, Alvarez-Ordonez A, Bolton D, Bover-Cid S, Chemaly M, Davies R, De Cesare A, Hilbert F, Lindqvist R, Nauta M, Peixe L, Ru G, Simmons M, Skandamis P, Suffredini E, Cocconcelli PS, Fernandez Escamez PS, Prieto-Maradona M, Querol A, Sijtsma L, Suarez JE, Sundh I, Vlak J, Barizzone F, Hempen M, Herman L. | EFSA J | 10.2903/j.efsa.2021.6689 | 2021 | ||
| Enzymology | Characterization of the microbiota in the guts of Triatoma brasiliensis and Triatoma pseudomaculata infected by Trypanosoma cruzi in natural conditions using culture independent methods. | Gumiel M, da Mota FF, Rizzo Vde S, Sarquis O, de Castro DP, Lima MM, Garcia Ede S, Carels N, Azambuja P. | Parasit Vectors | 10.1186/s13071-015-0836-z | 2015 | |
| The progressive shift in anaerobic digestion communities under extreme propionate levels led to a redundant microbiome capable of producing methane. | Ochoa-Bernal TG, Huber DH, Espinosa-Solares T. | J Environ Manage | 10.1016/j.jenvman.2025.127698 | 2025 | ||
| Deciphering the Transformed bacterial ocular surface microbiome in diabetic mice and its Consequential influence on corneal wound healing restoration. | Wang H, Xue J, Song Y, Li D, Wei C, Wan L. | Exp Eye Res | 10.1016/j.exer.2025.110350 | 2025 | ||
| Genetics | Development of a CRISPR/Cas9 genome editing toolbox for Corynebacterium stationis and its application in hypoxanthine biosynthesis. | Ouyang Z, Zhang X, Hou X, Huang J, Lin Y, Zheng S. | Synth Syst Biotechnol | 10.1016/j.synbio.2025.06.010 | 2025 | |
| Transgenerational Cold Acclimation and Contribution of Gut Bacteria in Spodoptera frugiperda. | Song Y, Yu GY, Gao W, Mai YT, Xu J, Fu W, Zhang ZX. | Insects | 10.3390/insects16101052 | 2025 | ||
| Measuring the Migration and Biofilm Formation of Various Bacteria. | Ma Y, Hasan Z, Huang J, Chen J, Ho CL. | J Vis Exp | 10.3791/63595 | 2022 | ||
| Comparison of automatic methods MALDI-TOF, VITEK2 and manual methods for the identification of intestinal microbial communities on the example of samples from alpacas (Vicugna pacos). | Plawinska-Czarnak J, Wodz K, Strzalkowska Z, Zychska M, Nowak T, Kwiecinski A, Kwiecinski P, Bielecki W, Rodo A, Rzewuska M, Klosinska D, Anusz K, Orlowska B. | J Vet Res | 10.2478/jvetres-2023-0051 | 2023 | ||
| Mutational analysis in Corynebacterium stationis MFS transporters for improving nucleotide bioproduction. | Kinose K, Shinoda K, Konishi T, Kawasaki H. | Appl Microbiol Biotechnol | 10.1007/s00253-024-13080-y | 2024 | ||
| Phylogeny | Alterations to the bovine bacterial ocular surface microbiome in the context of infectious bovine keratoconjunctivitis. | Gafen HB, Liu CC, Ineck NE, Scully CM, Mironovich MA, Taylor CM, Luo M, Leis ML, Scott EM, Carter RT, Hernke DM, Paul NC, Lewin AC. | Anim Microbiome | 10.1186/s42523-023-00282-4 | 2023 | |
| Pathogenicity | Effects of oral sialic acid on gut development, liver function and gut microbiota in mice. | Ma J, Gong S, He Y, Gao W, Hao W, Lan X. | Lett Appl Microbiol | 10.1111/lam.13447 | 2021 | |
| Four Dairy Products Mitigates Sarcopenia in Mice by Modulating Muscle Inflammation, Autophagy, and Protein Degradation. | Sun M, Wu T, Wang R, Ma Y, Han Y, Hou Y, Zhang Z. | Food Sci Nutr | 10.1002/fsn3.70540 | 2025 | ||
| Hesperidin and Fecal Microbiota Transplantation Modulate the Composition of the Gut Microbiota and Reduce Obesity in High Fat Diet Mice. | Liu T, Lei C, Huang Q, Song W, Li C, Sun N, Liu Z. | Diabetes Metab Syndr Obes | 10.2147/dmso.s474034 | 2024 | ||
| A partially automated method for DNA extraction from marmoset hair follicles to avoid blood chimerism. | Stendahl AM, Zhang Q, Lima AC, Mello C, Nemesh J, Peterson S, Castro J, Celino-Brady FT, Ray K, Gao X, Hou Y, Shen C, Vigh-Conrad KA, Krienen F, Feng G, McCarroll SA, Conrad DF, Del Rosario RCH. | Front Genet | 10.3389/fgene.2025.1608504 | 2025 | ||
| Antibacterial Activity of Halophilic Bacteria Against Drug-Resistant Microbes Associated with Diabetic Foot Infections. | Henciya S, Vengateshwaran TD, Gokul MS, Dahms HU, James RA. | Curr Microbiol | 10.1007/s00284-020-02190-1 | 2020 | ||
| Phylogeny | Longitudinal survey of total airborne bacterial and archaeal concentrations and bacterial diversity in enriched colony housing and aviaries for laying hens. | St-Germain MW, Letourneau V, Cruaud P, Lemaille C, Robitaille K, Denis E, Boulianne M, Duchaine C. | Poult Sci | 10.1016/j.psj.2024.104119 | 2024 | |
| Genetics | Diet-induced changes in the jejunal microbiota of developing broilers reduce the abundance of Enterococcus hirae and Enterococcus faecium. | Stege PB, Schokker D, Harders F, Kar SK, Stockhofe N, Perricone V, Rebel JMJ, de Jong IC, Bossers A. | BMC Genomics | 10.1186/s12864-024-10496-8 | 2024 | |
| Beneficial Effects of Probiotic Lactobacillus paraplantarum BGCG11 on Pancreatic and Duodenum Function in Diabetic Rats. | Mihailovic M, Sokovic Bajic S, Arambasic Jovanovic J, Brdaric E, Dinic S, Grdovic N, Uskokovic A, Rajic J, Dordevic M, Tolinacki M, Golic N, Zivkovic M, Vidakovic M. | Int J Mol Sci | 10.3390/ijms25147697 | 2024 | ||
| Decoding oral leukoplakia: microbiome dysbiosis and inflammatory dynamics unveiled in a rat model. | Sang Z, Zhang Y, Kao E, Zhu T, Yang J, Xu ZZ, Huang S, Teng F, Wang W. | Front Microbiol | 10.3389/fmicb.2025.1613165 | 2025 | ||
| Typeability of MALDI-TOF assay for identification of non-aureus staphylococci associated with bovine intramammary infections and teat apex colonization. | Mahmmod YS, Nonnemann B, Svennesen L, Pedersen K, Klaas IC. | J Dairy Sci | 10.3168/jds.2018-14579 | 2018 | ||
| Diversity and Functional Potential of Gut Bacteria Associated with the Insect Arsenura armida (Lepidoptera: Saturniidae). | Lopez-Hernandez MG, Rincon-Rosales R, Rincon-Molina CI, Manzano-Gomez LA, Gen-Jimenez A, Maldonado-Gomez JC, Rincon-Molina FA. | Insects | 10.3390/insects16070711 | 2025 | ||
| Sevoflurane-induced gut microbiota dysbiosis drives adolescent neurobehavioral deficits in neonatal rats: Protective role of eicosapentaenoic acid. | Fan P, Wang K, Wei H, Yang L, Zhang S, Cheng Y, Li C, Zhang Y, Jia P, Zhang Y, Xun Y, Wang Y, Yang P, Zhang P, Wang N. | iScience | 10.1016/j.isci.2025.113657 | 2025 | ||
| Metabarcoding analysis of the microbiota in flocks naturally infected by Coxiella burnetii: First description of the global microbiota in domestic small ruminants. | Toledo-Perona R, Gomez-Martin A, Contreras A, Toquet M, Quereda JJ, Esnal A, Gonzalez-Torres P, Gomis J. | One Health | 10.1016/j.onehlt.2025.100996 | 2025 | ||
| Pathogenicity | Impact of Early-Life Brain Injury on Gut Microbiota Composition in Rodents: Systematic Review with Implications for Neurodevelopment. | Souza VDS, Manhaes-de-Castro R, Pereira SDC, de Silveira BS, Calado CMSDS, Gouveia HJCB, Coq JO, Toscano AE. | Cells | 10.3390/cells14141063 | 2025 | |
| Multi-omics analysis reveals the mechanism of Lactobacillus plantarum in alleviating metabolic disorders in type 2 diabetic mice through the gut-liver axis. | Zhang C, Gao Y, Huang Y, Qin Y, Li Y, Chen Q, Wu T, Zhang Y, Zhang Y, Deng D, Huang B, Chen M, Han M. | mSystems | 10.1128/msystems.00965-25 | 2025 | ||
| Phylogeny | Is Intestinal Microbiota Fully Restored After Chickens Have Recovered from Coccidiosis? | Guo J, Zhao Z, Broadwater C, Tobin I, Liu J, Whitmore M, Zhang G. | Pathogens | 10.3390/pathogens14010081 | 2025 | |
| Correlation of distribution characteristics and dynamic changes of gut microbiota with the efficacy of immunotherapy in EGFR-mutated non-small cell lung cancer. | Luo WC, Mei SQ, Huang ZJ, Chen ZH, Zhang YC, Yang MY, Liu JQ, Xu JY, Yang XR, Zhong RW, Tang LB, Yin LX, Deng Y, Peng YL, Lu C, Chen BL, Ke DX, Tu HY, Yang JJ, Xu CR, Wu YL, Zhou Q. | J Transl Med | 10.1186/s12967-024-05135-5 | 2024 | ||
| Gut Microbiota Feature of Senile Osteoporosis by Shallow Shotgun Sequencing Using Aged Rats Model. | Wang N, Ma S, Fu L. | Genes (Basel) | 10.3390/genes13040619 | 2022 | ||
| Can infectious omphalitis in piglets be clinically diagnosed during the first three days of life? | Blirup-Plum SA, Jensen HE, Hartmann KT, Nielsen SS, Pankoke K, Hansen MS, Pedersen KS, Larsen I, Nielsen JP, Olsen JE, Kudirkiene E, Braunstein TH, Barington K. | BMC Vet Res | 10.1186/s12917-025-04507-3 | 2025 | ||
| Genetics | Complete genome sequence of nucleoside producing strain Corynebacterium stationis ATCC 6872. | Liu Y, Yang J, Jiang Y, Yang S. | J Biotechnol | 10.1016/j.jbiotec.2016.03.026 | 2016 | |
| Effects of Dietary Omega-3 Enrichment on the Chemical Composition and the Pathogenic Microbiota of Ovine Milk. | Tzora A, Voidarou CC, Giannenas I, Bonos E, Fotou K, Nelli A, Grigoriadou K, Karamoutsios A, Basdagianni Z, Dokou S, Tsinas A, Skoufos I. | Foods | 10.3390/foods11223736 | 2022 | ||
| Safety and efficacy of IMP (disodium 5'-inosinate) produced by fermentation with Corynebacterium stationis KCCM 80161 for all animal species. | EFSA Panel on Additives and Products or Substances used in Animal Feed (FEEDAP), Bampidis V, Azimonti G, Bastos ML, Christensen H, Dusemund B, Kouba M, Kos Durjava M, Lopez-Alonso M, Lopez Puente S, Marcon F, Mayo B, Pechova A, Petkova M, Ramos F, Ramos F, Sanz Y, Villa RE, Woutersen R, Cocconcelli PS, Glandorf B, Herman L, Prieto Maradona M, Saarela M, Tosti L, Anguita M, Galobart J, Holczknecht O, Manini P, Pizzo F, Tarres-Call J, Pettenati E. | EFSA J | 10.2903/j.efsa.2020.6140 | 2020 | ||
| Effects of dietary copper intake on blood lipids in women of childbearing age and the potential role of gut microbiota. | Luo M, Guo L, Wu C, Hao M, Gu J, Li X, Wang Q. | Front Nutr | 10.3389/fnut.2024.1368730 | 2024 | ||
| Probiotic supplementation as an alternative to antibiotics in broiler chickens. | Tomczyk G, Niczyporuk JS, Kozdrun W, Sawicka-Durkalec A, Bocian L, Barabasz M, Michalski M. | J Vet Res | 10.2478/jvetres-2024-0009 | 2024 | ||
| Modulation of Gut Microbial Community and Metabolism by Bacillus licheniformis HD173 Promotes the Growth of Nursery Piglets Model. | Li J, Tian C, Feng S, Cheng W, Tao S, Li C, Xiao Y, Wei H. | Nutrients | 10.3390/nu16101497 | 2024 | ||
| Genetics | The crosstalk between microbiota and metabolites in AP mice: an analysis based on metagenomics and untargeted metabolomics. | Zhou Q, Tao X, Guo F, Zhu Y, Wu Y, Xiang H, Shang D. | Front Cell Infect Microbiol | 10.3389/fcimb.2023.1134321 | 2023 | |
| Phylogeny | Unique hyper-thermal composting process in Kagoshima City forms distinct bacterial community structures. | Tashiro Y, Tabata H, Itahara A, Shimizu N, Tashiro K, Sakai K. | J Biosci Bioeng | 10.1016/j.jbiosc.2016.04.006 | 2016 | |
| Sleep deprivation-induced anxiety-like behaviors are associated with alterations in the gut microbiota and metabolites. | Zhang N, Gao X, Li D, Xu L, Zhou G, Xu M, Peng L, Sun G, Pan F, Li Y, Ren R, Huang R, Yang Y, Wang Z. | Microbiol Spectr | 10.1128/spectrum.01437-23 | 2024 | ||
| Microbiota Survey of Sliced Cooked Ham During the Secondary Shelf Life. | Spampinato G, Candeliere F, Amaretti A, Licciardello F, Rossi M, Raimondi S. | Front Microbiol | 10.3389/fmicb.2022.842390 | 2022 | ||
| Effect of sodium bisulfate amendments on bacterial populations in broiler litter. | Joerger RD, Ganguly A, de Los Santos M, Li H. | Poult Sci | 10.1016/j.psj.2020.08.013 | 2020 | ||
| Genetics | The multi-kingdom microbiome catalog of the chicken gastrointestinal tract. | Wang Y, Qu M, Bi Y, Liu WJ, Ma S, Wan B, Hu Y, Zhu B, Zhang G, Gao GF. | Biosaf Health | 10.1016/j.bsheal.2024.02.006 | 2024 | |
| Update of the list of QPS-recommended biological agents intentionally added to food or feed as notified to EFSA 11: suitability of taxonomic units notified to EFSA until September 2019. | EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis K, Allende A, Alvarez-Ordonez A, Bolton D, Bover-Cid S, Chemaly M, Davies R, De Cesare A, Hilbert F, Lindqvist R, Nauta M, Peixe L, Ru G, Simmons M, Skandamis P, Suffredini E, Cocconcelli PS, Fernandez Escamez PS, Maradona MP, Querol A, Suarez JE, Sundh I, Vlak J, Barizzone F, Correia S, Herman L. | EFSA J | 10.2903/j.efsa.2020.5965 | 2020 | ||
| Assessing the effects of a mixed Eimeria spp. challenge on performance, intestinal integrity, and the gut microbiome of broiler chickens. | Graham D, Petrone-Garcia VM, Hernandez-Velasco X, Coles ME, Juarez-Estrada MA, Latorre JD, Chai J, Shouse S, Zhao J, Forga AJ, Senas-Cuesta R, Laverty L, Martin K, Trujillo-Peralta C, Loeza I, Gray LS, Hargis BM, Tellez-Isaias G. | Front Vet Sci | 10.3389/fvets.2023.1224647 | 2023 | ||
| Phylogeny | The relationship between menopausal syndrome and gut microbes. | Liu Y, Zhou Y, Mao T, Huang Y, Liang J, Zhu M, Yao P, Zong Y, Lang J, Zhang Y. | BMC Womens Health | 10.1186/s12905-022-02029-w | 2022 | |
| Phylogeny | Effect of Doxycycline Use in the Early Broiler Production Cycle on the Microbiome. | Greene G, Koolman L, Whyte P, Burgess C, Lynch H, Coffey A, Lucey B, O'Connor L, Bolton D. | Front Microbiol | 10.3389/fmicb.2022.885862 | 2022 | |
| Venom Function of a New Species of Megalomyrmex Forel, 1885 (Hymenoptera: Formicidae). | Sozanski K, Prado LPD, Mularo AJ, Sadowski VA, Jones TH, Adams RMM. | Toxins (Basel) | 10.3390/toxins12110679 | 2020 | ||
| Revealing microbial consortia that interfere with grapevine downy mildew through microbiome epidemiology. | Fournier P, Pellan L, Jaswa A, Cambon MC, Chataigner A, Bonnard O, Raynal M, Debord C, Poeydebat C, Labarthe S, Delmotte F, This P, Vacher C. | Environ Microbiome | 10.1186/s40793-025-00691-9 | 2025 | ||
| Pathogenicity | Investigation of the relationship between inflammation and microbiota in the intestinal tissue of female and male rats fed with fructose: Modulatory role of metformin. | Yalcin Bugdayci A, Akarca Dizakar SO, Demirel MA, Omeroglu S, Akar F, Uludag MO. | Daru | 10.1007/s40199-024-00521-2 | 2024 | |
| Genetics | Bacillus subtilis and Macleaya cordata extract regulate the rumen microbiota associated with enteric methane emission in dairy cows. | Jia P, Dong LF, Tu Y, Diao QY. | Microbiome | 10.1186/s40168-023-01654-3 | 2023 | |
| Alterations in gut microbiota of abdominal aortic aneurysm mice. | Xie J, Lu W, Zhong L, Hu Y, Li Q, Ding R, Zhong Z, Liu Z, Xiao H, Xie D, Zheng G, Ye B, Zhong Y, Liu Z. | BMC Cardiovasc Disord | 10.1186/s12872-020-01334-2 | 2020 | ||
| Potential Benefits of Epidermal Growth Factor for Inhibiting Muscle Degrative Markers in Rats with Alcoholic Liver Damage. | Xiao Q, Chen YH, Chen YL, Chien YS, Hsieh LH, Shirakawa H, Yang SC. | Int J Mol Sci | 10.3390/ijms24108845 | 2023 | ||
| Phylogeny | Role of Williamsia and Segniliparus in human infections with the approach taxonomy, cultivation, and identification methods. | Fatahi-Bafghi M. | Ann Clin Microbiol Antimicrob | 10.1186/s12941-021-00416-z | 2021 | |
| Metabolism | Tang-Ping-San Decoction Remodel Intestinal Flora and Barrier to Ameliorate Type 2 Diabetes Mellitus in Rodent Model. | Yin W, Zhang SQ, Pang WL, Chen XJ, Wen J, Hou J, Wang C, Song LY, Qiu ZM, Liang PT, Yuan JL, Yang ZS, Yang ZS, Bian Y. | Diabetes Metab Syndr Obes | 10.2147/dmso.s375572 | 2022 | |
| Metabolism | Integrated analysis of multi-tissues lipidome and gut microbiome reveals microbiota-induced shifts on lipid metabolism in pigs. | Xie C, Zhu X, Xu B, Niu Y, Zhang X, Ma L, Yan X. | Anim Nutr | 10.1016/j.aninu.2022.04.011 | 2022 | |
| Zunyimycin C enhances immunity and improves cognitive impairment and its mechanism. | Wang X, Li Z, Sun R, Li X, Guo R, Cui X, Liu B, Li W, Yang Y, Huang X, Qu H, Liu C, Wang Z, Lu Y, Yue C. | Front Cell Infect Microbiol | 10.3389/fcimb.2022.1081243 | 2022 | ||
| Akkermansia muciniphila Alters Gut Microbiota and Immune System to Improve Cardiovascular Diseases in Murine Model. | He X, Bai Y, Zhou H, Wu K. | Front Microbiol | 10.3389/fmicb.2022.906920 | 2022 | ||
| Genetics | Fecal Metaproteomic Analysis Reveals Unique Changes of the Gut Microbiome Functions After Consumption of Sourdough Carasau Bread. | Abbondio M, Palomba A, Tanca A, Fraumene C, Pagnozzi D, Serra M, Marongiu F, Laconi E, Uzzau S. | Front Microbiol | 10.3389/fmicb.2019.01733 | 2019 | |
| The influences of low protein diet on the intestinal microbiota of mice. | Masuoka H, Suda W, Tomitsuka E, Shindo C, Takayasu L, Horwood P, Greenhill AR, Hattori M, Umezaki M, Hirayama K. | Sci Rep | 10.1038/s41598-020-74122-9 | 2020 | ||
| Differential Analysis of Longitudinal Methicillin-Resistant Staphylococcus aureus Colonization in Relation to Microbial Shifts in the Nasal Microbiome of Neonatal Piglets. | Patel S, Vlasblom AA, Verstappen KM, Zomer AL, Fluit AC, Rogers MRC, Wagenaar JA, Claesson MJ, Duim B. | mSystems | 10.1128/msystems.00152-21 | 2021 | ||
| A Novel Role of SLC26A3 in the Maintenance of Intestinal Epithelial Barrier Integrity. | Kumar A, Priyamvada S, Ge Y, Jayawardena D, Singhal M, Anbazhagan AN, Chatterjee I, Dayal A, Patel M, Zadeh K, Saksena S, Alrefai WA, Gill RK, Zadeh M, Zhao N, Mohamadzadeh M, Dudeja PK. | Gastroenterology | 10.1053/j.gastro.2020.11.008 | 2021 | ||
| Little cigars and cigarillos harbor diverse bacterial communities that differ between the tobacco and the wrapper. | Chattopadhyay S, Smyth EM, Kulkarni P, Babik KR, Reid M, Hittle LE, Clark PI, Mongodin EF, Sapkota AR. | PLoS One | 10.1371/journal.pone.0211705 | 2019 | ||
| Metabolism | Genome-based selection and application of food-grade microbes for chickpea milk fermentation towards increased L-lysine content, elimination of indigestible sugars, and improved flavour. | Tangyu M, Fritz M, Aragao-Borner R, Ye L, Bogicevic B, Bolten CJ, Wittmann C. | Microb Cell Fact | 10.1186/s12934-021-01595-2 | 2021 | |
| Host circadian behaviors exert only weak selective pressure on the gut microbiome under stable conditions but are critical for recovery from antibiotic treatment. | Zhao C, Kelly K, Jabbur ML, Paguaga M, Behringer M, Johnson CH. | PLoS Biol | 10.1371/journal.pbio.3001865 | 2022 | ||
| Diversity, distribution, and antagonistic activities of rhizobacteria of Panax notoginseng. | Fan ZY, Miao CP, Qiao XG, Zheng YK, Chen HH, Chen YW, Xu LH, Zhao LX, Guan HL. | J Ginseng Res | 10.1016/j.jgr.2015.05.003 | 2016 | ||
| Phylogeny | Characterization of Bacterial Communities in Selected Smokeless Tobacco Products Using 16S rDNA Analysis. | Tyx RE, Stanfill SB, Keong LM, Rivera AJ, Satten GA, Watson CH. | PLoS One | 10.1371/journal.pone.0146939 | 2016 | |
| Genetics | Quantifying and Understanding Well-to-Well Contamination in Microbiome Research. | Minich JJ, Sanders JG, Amir A, Humphrey G, Gilbert JA, Knight R. | mSystems | 10.1128/msystems.00186-19 | 2019 | |
| Phylogeny | Colonization of the human gut by bovine bacteria present in Parmesan cheese. | Milani C, Duranti S, Napoli S, Alessandri G, Mancabelli L, Anzalone R, Longhi G, Viappiani A, Mangifesta M, Lugli GA, Bernasconi S, Ossiprandi MC, van Sinderen D, Ventura M, Turroni F. | Nat Commun | 10.1038/s41467-019-09303-w | 2019 | |
| Metabolism | An Alternative and Conserved Cell Wall Enzyme That Can Substitute for the Lipid II Synthase MurG. | Zhang L, Ramijan K, Carrion VJ, van der Aart LT, Willemse J, van Wezel GP, Claessen D. | mBio | 10.1128/mbio.03381-20 | 2021 | |
| Phylogeny | Assignment of Brevibacterium stationis (ZoBell and Upham 1944) Breed 1953 to the genus Corynebacterium, as Corynebacterium stationis comb. nov., and emended description of the genus Corynebacterium to include isolates that can alkalinize citrate. | Bernard KA, Wiebe D, Burdz T, Reimer A, Ng B, Singh C, Schindle S, Pacheco AL | Int J Syst Evol Microbiol | 10.1099/ijs.0.012641-0 | 2009 | |
| Genetics | Identification of plasmid partition function in coryneform bacteria. | Kurusu Y, Satoh Y, Inui M, Kohama K, Kobayashi M, Terasawa M, Yukawa H | Appl Environ Microbiol | 10.1128/aem.57.3.759-764.1991 | 1991 |
| #8705 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20302 |
| #19791 | Wink, J.: Compendium of Actinobacteria. HZI-Helmholtz-Centre for Infection Research, Braunschweig . |
| #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 ) |
| #34926 | ; Curators of the CIP; |
| #55900 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 43497 |
| #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; |
| #68368 | Automatically annotated from API 20E . |
| #68371 | Automatically annotated from API 50CH acid . |
| #68379 | Automatically annotated from API Coryne . |
| #68382 | Automatically annotated from API zym . |
| #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 . |
| #123295 | Collection of Institut Pasteur ; Curators of the CIP; CIP 104228 |
| #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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