Corynebacterium tuberculostearicum LDC-20 is an aerobe, Gram-positive, rod-shaped bacterium that forms circular colonies and was isolated from human bone marrow .
Gram-positive rod-shaped colony-forming aerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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Last LPSN update
2026-05-29 08:25:39 |
| Domain Bacteria |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Mycobacteriales |
| Family Corynebacteriaceae |
| Genus Corynebacterium |
| Species Corynebacterium tuberculostearicum |
| Full scientific name Corynebacterium tuberculostearicum Feurer et al. 2004 |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 12195 | COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) | Medium recipe at MediaDive  | Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base | ||
| 23202 | trypto casein soy agar supplemented with Tween 80 | ||||
| 33758 | MEDIUM 355 - for Corynebacterium genitalium | Distilled water make up to (1000.000 ml);Tween 80 (1.000 ml);Trypto casein soy agar (40.000 g) | |||
| 123677 | CIP Medium 355 | Medium recipe at CIP |
| 23202 | Spore formationno |
| 12195 | Compoundpyrazine carboxylamidase |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 23202 | 16808 ChEBI | 2-dehydro-D-gluconate | + | carbon source | |
| 23202 | 17426 ChEBI | 5-dehydro-D-gluconate | + | builds acid from | |
| 68381 | 40585 ChEBI | alpha-cyclodextrin | - | builds acid from | from API rID32STR |
| 68371 | 27613 ChEBI | amygdalin | - | builds acid from | from API 50CH acid |
| 68371 | 18305 ChEBI | arbutin | - | builds acid from | from API 50CH acid |
| 68381 | 29016 ChEBI | arginine | + | hydrolysis | from API rID32STR |
| 68380 | 29016 ChEBI | arginine | + | hydrolysis | from API rID32A |
| 68371 | 17057 ChEBI | cellobiose | - | builds acid from | from API 50CH acid |
| 23202 | 16947 ChEBI | citrate | - | carbon source | |
| 123677 | 16947 ChEBI | citrate | - | carbon source | |
| 68371 | 17108 ChEBI | D-arabinose | - | builds acid from | from API 50CH acid |
| 68371 | 18333 ChEBI | D-arabitol | - | builds acid from | from API 50CH acid |
| 68381 | 18333 ChEBI | D-arabitol | - | builds acid from | from API rID32STR |
| 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 |
| 23202 | 17634 ChEBI | D-glucose | + | carbon source | |
| 68379 | 17634 ChEBI | D-glucose | - | fermentation | from API Coryne |
| 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 |
| 68381 | 16899 ChEBI | D-mannitol | - | builds acid from | from API rID32STR |
| 68371 | 16899 ChEBI | D-mannitol | - | builds acid from | from API 50CH acid |
| 23202 | 16024 ChEBI | D-mannose | + | assimilation | |
| 68380 | 16024 ChEBI | D-mannose | - | fermentation | from API rID32A |
| 68371 | 16024 ChEBI | D-mannose | + | builds acid from | from API 50CH acid |
| 23202 | 16988 ChEBI | D-ribose | + | carbon source | |
| 68379 | 16988 ChEBI | D-ribose | - | fermentation | from API Coryne |
| 68381 | 16988 ChEBI | D-ribose | - | builds acid from | from API rID32STR |
| 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 |
| 68381 | 16443 ChEBI | D-tagatose | - | builds acid from | from API rID32STR |
| 68379 | 65327 ChEBI | D-xylose | - | fermentation | from API Coryne |
| 68371 | 65327 ChEBI | D-xylose | - | builds acid from | from API 50CH acid |
| 23202 | 27689 ChEBI | decanoate | - | carbon source | |
| 68371 | 17113 ChEBI | erythritol | - | builds acid from | from API 50CH acid |
| 23202 | 4853 ChEBI | esculin | - | hydrolysis | |
| 68379 | 4853 ChEBI | esculin | - | hydrolysis | from API Coryne |
| 123677 | 4853 ChEBI | esculin | - | hydrolysis | |
| 68371 | 4853 ChEBI | esculin | - | builds acid from | from API 50CH acid |
| 23202 | 28757 ChEBI | fructose | + | builds acid from | |
| 23202 | 29806 ChEBI | fumarate | + | carbon source | |
| 68371 | 16813 ChEBI | galactitol | - | builds acid from | from API 50CH acid |
| 23202 | 28260 ChEBI | galactose | + | builds acid from | |
| 23202 | 5291 ChEBI | gelatin | - | hydrolysis | |
| 68379 | 5291 ChEBI | gelatin | - | hydrolysis | from API Coryne |
| 68371 | 28066 ChEBI | gentiobiose | - | builds acid from | from API 50CH acid |
| 23202 | 24265 ChEBI | gluconate | +/- | builds acid from | |
| 68371 | 24265 ChEBI | gluconate | + | builds acid from | from API 50CH acid |
| 23202 | 17234 ChEBI | glucose | + | builds acid from | |
| 23202 | 33871 ChEBI | glycerate | - | carbon source | |
| 23202 | 17754 ChEBI | glycerol | + | builds acid from | |
| 23202 | 17754 ChEBI | glycerol | + | carbon source | |
| 68371 | 17754 ChEBI | glycerol | + | builds acid from | from API 50CH acid |
| 23202 | 28087 ChEBI | glycogen | - | builds acid from | |
| 68379 | 28087 ChEBI | glycogen | - | fermentation | from API Coryne |
| 68381 | 28087 ChEBI | glycogen | - | builds acid from | from API rID32STR |
| 68371 | 28087 ChEBI | glycogen | - | builds acid from | from API 50CH acid |
| 68381 | 606565 ChEBI | hippurate | + | hydrolysis | from API rID32STR |
| 123677 | 606565 ChEBI | hippurate | - | hydrolysis | |
| 23202 | 15443 ChEBI | inulin | - | builds acid from | |
| 68371 | 15443 ChEBI | inulin | - | builds acid from | from API 50CH acid |
| 68381 | 30849 ChEBI | L-arabinose | - | builds acid from | from API rID32STR |
| 68371 | 30849 ChEBI | L-arabinose | - | builds acid from | from API 50CH acid |
| 68371 | 18403 ChEBI | L-arabitol | - | builds acid from | from API 50CH acid |
| 23202 | 29991 ChEBI | L-aspartate | + | carbon source | |
| 68371 | 18287 ChEBI | L-fucose | - | builds acid from | from API 50CH acid |
| 23202 | 29985 ChEBI | L-glutamate | + | carbon source | |
| 68380 | 29985 ChEBI | L-glutamate | + | degradation | from API rID32A |
| 23202 | 15589 ChEBI | L-malate | + | carbon source | |
| 23202 | 17203 ChEBI | L-proline | + | carbon source | |
| 68371 | 62345 ChEBI | L-rhamnose | - | builds acid from | from API 50CH acid |
| 23202 | 17115 ChEBI | L-serine | + | carbon source | |
| 68371 | 17266 ChEBI | L-sorbose | - | builds acid from | from API 50CH acid |
| 68371 | 65328 ChEBI | L-xylose | - | builds acid from | from API 50CH acid |
| 23202 | 17716 ChEBI | lactose | - | builds acid from | |
| 68379 | 17716 ChEBI | lactose | - | fermentation | from API Coryne |
| 68381 | 17716 ChEBI | lactose | - | builds acid from | from API rID32STR |
| 68371 | 17716 ChEBI | lactose | - | builds acid from | from API 50CH acid |
| 23202 | 17306 ChEBI | maltose | +/- | builds acid from | |
| 68379 | 17306 ChEBI | maltose | - | fermentation | from API Coryne |
| 68381 | 17306 ChEBI | maltose | - | builds acid from | from API rID32STR |
| 68371 | 17306 ChEBI | maltose | + | builds acid from | from API 50CH acid |
| 23202 | 29864 ChEBI | mannitol | - | builds acid from | |
| 23202 | 37684 ChEBI | mannose | + | builds acid from | |
| 68381 | 6731 ChEBI | melezitose | - | builds acid from | from API rID32STR |
| 68371 | 6731 ChEBI | melezitose | - | builds acid from | from API 50CH acid |
| 68371 | 28053 ChEBI | melibiose | - | builds acid from | from API 50CH acid |
| 68381 | 28053 ChEBI | melibiose | - | builds acid from | from API rID32STR |
| 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 |
| 68381 | 320055 ChEBI | methyl beta-D-glucopyranoside | - | builds acid from | from API rID32STR |
| 68371 | 74863 ChEBI | methyl beta-D-xylopyranoside | - | builds acid from | from API 50CH acid |
| 68371 | 17268 ChEBI | myo-inositol | - | builds acid from | from API 50CH acid |
| 23202 | 506227 ChEBI | N-acetylglucosamine | +/- | builds acid from | |
| 68371 | 59640 ChEBI | N-acetylglucosamine | - | builds acid from | from API 50CH acid |
| 68379 | 17632 ChEBI | nitrate | - | reduction | from API Coryne |
| 68380 | 17632 ChEBI | nitrate | - | reduction | from API rID32A |
| 123677 | 17632 ChEBI | nitrate | - | reduction | |
| 123677 | 16301 ChEBI | nitrite | - | reduction | |
| 68371 | 0 ChEBI | Potassium 2-ketogluconate | - | builds acid from | from API 50CH acid |
| 68371 | 0 ChEBI | Potassium 5-ketogluconate | + | builds acid from | from API 50CH acid |
| 68381 | 27941 ChEBI | pullulan | - | builds acid from | from API rID32STR |
| 68380 | 16634 ChEBI | raffinose | - | fermentation | from API rID32A |
| 68371 | 16634 ChEBI | raffinose | - | builds acid from | from API 50CH acid |
| 68381 | 16634 ChEBI | raffinose | - | builds acid from | from API rID32STR |
| 68371 | 15963 ChEBI | ribitol | - | builds acid from | from API 50CH acid |
| 23202 | 33942 ChEBI | ribose | + | builds acid from | |
| 68371 | 17814 ChEBI | salicin | - | builds acid from | from API 50CH acid |
| 23202 | 30911 ChEBI | sorbitol | - | builds acid from | |
| 68381 | 30911 ChEBI | sorbitol | - | builds acid from | from API rID32STR |
| 23202 | 28017 ChEBI | starch | - | builds acid from | |
| 68371 | 28017 ChEBI | starch | + | builds acid from | from API 50CH acid |
| 23202 | 30031 ChEBI | succinate | + | carbon source | |
| 23202 | 17992 ChEBI | sucrose | + | carbon source | |
| 23202 | 17992 ChEBI | sucrose | +/- | builds acid from | |
| 68379 | 17992 ChEBI | sucrose | - | fermentation | from API Coryne |
| 68371 | 17992 ChEBI | sucrose | - | builds acid from | from API 50CH acid |
| 68381 | 17992 ChEBI | sucrose | - | builds acid from | from API rID32STR |
| 23202 | 27082 ChEBI | trehalose | +/- | builds acid from | |
| 68371 | 27082 ChEBI | trehalose | - | builds acid from | from API 50CH acid |
| 68381 | 27082 ChEBI | trehalose | - | builds acid from | from API rID32STR |
| 68380 | 27897 ChEBI | tryptophan | - | energy source | from API rID32A |
| 68371 | 32528 ChEBI | turanose | - | builds acid from | from API 50CH acid |
| 23202 | 16199 ChEBI | urea | - | hydrolysis | |
| 68379 | 16199 ChEBI | urea | - | hydrolysis | from API Coryne |
| 68381 | 16199 ChEBI | urea | + | hydrolysis | from API rID32STR |
| 68380 | 16199 ChEBI | urea | - | hydrolysis | from API rID32A |
| 68371 | 17151 ChEBI | xylitol | - | builds acid from | from API 50CH acid |
| 23202 | 18222 ChEBI | xylose | - | builds acid from |
| @ref | Metabolite | Is sensitive | Is resistant | |
|---|---|---|---|---|
| 123677 | 0129 (2,4-Diamino-6,7-di-iso-propylpteridine phosphate) |
| @ref | Value | Activity | Ec | |
|---|---|---|---|---|
| 23202 | acid phosphatase | +/- | 3.1.3.2 | |
| 68382 | acid phosphatase | - | 3.1.3.2 | from API zym |
| 68380 | alanine arylamidase | + | 3.4.11.2 | from API rID32A |
| 68381 | Alanyl-Phenylalanyl-Proline arylamidase | + | from API rID32STR | |
| 123677 | alcohol dehydrogenase | - | 1.1.1.1 | |
| 23202 | alkaline phosphatase | +/- | 3.1.3.1 | |
| 68382 | alkaline phosphatase | - | 3.1.3.1 | from API zym |
| 68379 | alkaline phosphatase | + | 3.1.3.1 | from API Coryne |
| 68381 | alkaline phosphatase | - | 3.1.3.1 | from API rID32STR |
| 68380 | alkaline phosphatase | + | 3.1.3.1 | from API rID32A |
| 68380 | alpha-arabinosidase | - | 3.2.1.55 | from API rID32A |
| 23202 | alpha-chymotrypsin | - | 3.4.21.1 | |
| 68382 | alpha-chymotrypsin | - | 3.4.21.1 | from API zym |
| 23202 | alpha-fucosidase | - | 3.2.1.51 | |
| 68382 | alpha-fucosidase | - | 3.2.1.51 | from API zym |
| 68380 | alpha-fucosidase | - | 3.2.1.51 | from API rID32A |
| 23202 | alpha-galactosidase | - | 3.2.1.22 | |
| 68382 | alpha-galactosidase | - | 3.2.1.22 | from API zym |
| 68381 | alpha-galactosidase | - | 3.2.1.22 | from API rID32STR |
| 68380 | alpha-galactosidase | - | 3.2.1.22 | from API rID32A |
| 23202 | alpha-glucosidase | - | 3.2.1.20 | |
| 68382 | alpha-glucosidase | - | 3.2.1.20 | from API zym |
| 68380 | alpha-glucosidase | - | 3.2.1.20 | from API rID32A |
| 68379 | alpha-glucosidase | - | 3.2.1.20 | from API Coryne |
| 68382 | alpha-mannosidase | - | 3.2.1.24 | from API zym |
| 123677 | amylase | - | ||
| 68381 | arginine dihydrolase | + | 3.5.3.6 | from API rID32STR |
| 68380 | arginine dihydrolase | + | 3.5.3.6 | from API rID32A |
| 23202 | beta-galactosidase | - | 3.2.1.23 | |
| 68382 | beta-galactosidase | - | 3.2.1.23 | from API zym |
| 123677 | beta-galactosidase | - | 3.2.1.23 | |
| 68381 | beta-galactosidase | - | 3.2.1.23 | from API rID32STR |
| 68379 | beta-galactosidase | - | 3.2.1.23 | from API Coryne |
| 68380 | beta-galactosidase | - | 3.2.1.23 | from API rID32A |
| 68380 | beta-Galactosidase 6-phosphate | - | from API rID32A | |
| 23202 | beta-glucosidase | - | 3.2.1.21 | |
| 68382 | beta-glucosidase | - | 3.2.1.21 | from API zym |
| 68381 | beta-glucosidase | - | 3.2.1.21 | from API rID32STR |
| 68380 | beta-glucosidase | - | 3.2.1.21 | from API rID32A |
| 68379 | beta-glucosidase | - | 3.2.1.21 | from API Coryne |
| 68382 | beta-glucuronidase | - | 3.2.1.31 | from API zym |
| 68381 | beta-glucuronidase | - | 3.2.1.31 | from API rID32STR |
| 68380 | beta-glucuronidase | - | 3.2.1.31 | from API rID32A |
| 68379 | beta-glucuronidase | - | 3.2.1.31 | from API Coryne |
| 68381 | beta-mannosidase | - | 3.2.1.25 | from API rID32STR |
| 123677 | caseinase | - | 3.4.21.50 | |
| 23202 | catalase | + | 1.11.1.6 | |
| 123677 | catalase | + | 1.11.1.6 | |
| 68379 | catalase | + | 1.11.1.6 | from API Coryne |
| 23202 | cystine arylamidase | +/- | 3.4.11.3 | |
| 68382 | cystine arylamidase | - | 3.4.11.3 | from API zym |
| 23202 | cytochrome oxidase | - | 1.9.3.1 | |
| 23202 | DNase | - | ||
| 123677 | DNase | - | ||
| 23202 | esterase (C 4) | + | ||
| 68382 | esterase (C 4) | + | from API zym | |
| 23202 | esterase lipase (C 8) | +/- | ||
| 68382 | esterase lipase (C 8) | + | from API zym | |
| 123677 | gamma-glutamyltransferase | - | 2.3.2.2 | |
| 123677 | gelatinase | - | ||
| 68379 | gelatinase | - | from API Coryne | |
| 68380 | glutamate decarboxylase | + | 4.1.1.15 | from API rID32A |
| 68380 | glutamyl-glutamate arylamidase | - | from API rID32A | |
| 68380 | glycin arylamidase | + | from API rID32A | |
| 68381 | glycyl tryptophan arylamidase | - | from API rID32STR | |
| 68380 | histidine arylamidase | + | from API rID32A | |
| 68380 | L-arginine arylamidase | + | from API rID32A | |
| 123677 | lecithinase | - | ||
| 23202 | leucine arylamidase | +/- | 3.4.11.1 | |
| 68382 | leucine arylamidase | + | 3.4.11.1 | from API zym |
| 68380 | leucine arylamidase | + | 3.4.11.1 | from API rID32A |
| 68380 | leucyl glycin arylamidase | + | 3.4.11.1 | from API rID32A |
| 123677 | lipase | - | ||
| 23202 | lipase (C 14) | - | ||
| 68382 | lipase (C 14) | - | from API zym | |
| 123677 | lysine decarboxylase | - | 4.1.1.18 | |
| 68382 | N-acetyl-beta-glucosaminidase | - | 3.2.1.52 | from API zym |
| 68380 | N-acetyl-beta-glucosaminidase | - | 3.2.1.52 | from API rID32A |
| 68381 | N-acetyl-beta-glucosaminidase | - | 3.2.1.52 | from API rID32STR |
| 68379 | N-acetyl-beta-glucosaminidase | - | 3.2.1.52 | from API Coryne |
| 23202 | naphthol-AS-BI-phosphohydrolase | + | ||
| 68382 | naphthol-AS-BI-phosphohydrolase | + | from API zym | |
| 23202 | nitrate reductase | +/- | 1.7.99.4 | |
| 123677 | ornithine decarboxylase | - | 4.1.1.17 | |
| 123677 | oxidase | - | ||
| 123677 | phenylalanine ammonia-lyase | - | 4.3.1.24 | |
| 68380 | phenylalanine arylamidase | + | from API rID32A | |
| 68380 | proline-arylamidase | + | 3.4.11.5 | from API rID32A |
| 123677 | protease | - | ||
| 68379 | pyrazinamidase | - | 3.5.1.B15 | from API Coryne |
| 68381 | pyrrolidonyl arylamidase | + | 3.4.19.3 | from API rID32STR |
| 68380 | pyrrolidonyl arylamidase | + | 3.4.19.3 | from API rID32A |
| 68379 | pyrrolidonyl arylamidase | + | 3.4.19.3 | from API Coryne |
| 68380 | serine arylamidase | + | from API rID32A | |
| 23202 | trypsin | - | 3.4.21.4 | |
| 68382 | trypsin | - | 3.4.21.4 | from API zym |
| 123677 | tryptophan deaminase | - | ||
| 68380 | tryptophan deaminase | - | 4.1.99.1 | from API rID32A |
| 123677 | tween esterase | + | ||
| 68380 | tyrosine arylamidase | - | from API rID32A | |
| 123677 | urease | - | 3.5.1.5 | |
| 68381 | urease | + | 3.5.1.5 | from API rID32STR |
| 68379 | urease | - | 3.5.1.5 | from API Coryne |
| 68380 | urease | - | 3.5.1.5 | from API rID32A |
| 23202 | valine arylamidase | +/- | ||
| 68382 | valine arylamidase | - | from API zym |
| @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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123677 | not determinedn.d. | + | - | - | - | + | - | - | - | - | + | + | + | + | - | - | - | - | - | - | - | - | - | - | - | - | - | - | + | - | - | - | - | - | - | - | + | - | - | - | - | - | - | - | - | - | - | + | - | + |
| @ref | ADH (Arg) | beta GLU | beta GAR | beta GUR | alpha GAL | PAL | RIB | MAN | SOR | LAC | TRE | RAF | SAC | LARA | DARL | Acid from alpha-cyclodextrinCDEX | Acetoin production (Voges Proskauer test)VP | Alanyl-Phenylalanyl-Proline arylamidaseAPPA | beta GAL | Pyrrolidonyl arylamidasePyrA | N-Acetyl-glucosaminidasebeta NAG | Glycyl-tryptophan arylamidaseGTA | HIP | GLYG | PUL | MAL | MEL | MLZ | Acidification of methyl beta-D-glucopyranosideMbeta DG | TAG | beta MAN | URE | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 56770 | + | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | + | - | + | - | - | + | - | - | - | - | - | - | - | - | + |
| @ref | Sample type | Host species | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 12195 | human bone marrow (leprosy patient) | Homo sapiens | Philippines | PHL | Asia | |
| 56770 | Human bone marrow,leprosy patient | Homo sapiens | Philippines | PHL | Asia | |
| 67770 | Human bone marrow | Homo sapiens | Philippines | PHL | Asia | |
| 123677 | Human, Bone marrow | Homo sapiens | Philippines | PHL | Asia |
Global distribution of 16S sequence X84247 (>99% sequence identity) for Corynebacterium from Microbeatlas 
 Aquatic Samples |
2523 |
 Soil Samples |
1147 |
 Animal Samples |
38602 |
 Plant Samples |
736 |
| Total Samples | 43008 |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 124043 | ASM1672836v1 assembly for Corynebacterium tuberculostearicum FDAARGOS_1117 | complete | GCA_016728365   | 38304.9  | 8120222497  | 38304 | 97 | |
| 67770 | ASM1340844v1 assembly for Corynebacterium tuberculostearicum DSM 44922 | contig | GCA_013408445 | 38304.5 | 2833975288 | 38304 | 77.02 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | Corynebacterium tuberculostearicum 16S rRNA gene, strain ATCC 35692 | X84247 | 1479 |  | 38304 | |
| 20218 | Corynebacterium tuberculostearicum strain CIP 107291 16S ribosomal RNA gene, partial sequence | AY965875 | 443 | | 38304 | |
| 12195 | Corynebacterium sp. CIP107291 partial 16S rRNA gene | AJ438050 | 1512 | | 38304 |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Genomic characterization of the C. tuberculostearicum species complex, a prominent member of the human skin microbiome. | Ahmed N, Joglekar P, Deming C, NISC Comparative Sequencing Program, Lemon KP, Kong HH, Segre JA, Conlan S. | mSystems | 10.1128/msystems.00632-23 | 2023 | |
| Genetics | Expanding the Bacterial Diversity of the Female Urinary Microbiome: Description of Eight New Corynebacterium Species. | Cappelli EA, Ksiezarek M, Wolf J, Neumann-Schaal M, Ribeiro TG, Peixe L. | Microorganisms | 10.3390/microorganisms11020388 | 2023 | |
| Bacteria Modify Their Sensitivity to Chemerin-Derived Peptides by Hindering Peptide Association With the Cell Surface and Peptide Oxidation. | Godlewska U, Bilska B, Majewski P, Pyza E, Zabel BA, Cichy J. | Front Microbiol | 10.3389/fmicb.2020.01819 | 2020 | | |
| Phylogenomic Reappraisal of Fatty Acid Biosynthesis, Mycolic Acid Biosynthesis and Clinical Relevance Among Members of the Genus Corynebacterium. | Dover LG, Thompson AR, Sutcliffe IC, Sangal V. | Front Microbiol | 10.3389/fmicb.2021.802532 | 2021 | | |
| Metabolism | Metabolic capabilities are highly conserved among human nasal-associated Corynebacterium species in pangenomic analyses. | Tran TH, F Escapa I, Roberts AQ, Gao W, Obawemimo AC, Segre JA, Kong HH, Conlan S, Kelly MS, Lemon KP. | mSystems | 10.1128/msystems.01132-24 | 2024 | |
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| Proteome | The Human Ocular Surface Microbiome and Its Associations with the Tear Proteome in Dry Eye Disease. | Schlegel I, De Gouyon Matignon de Pontourade CMF, Lincke JB, Keller I, Zinkernagel MS, Zysset-Burri DC. | Int J Mol Sci | 10.3390/ijms241814091 | 2023 | |
| In-depth Microbiological Characterization of Urine From Subjects With Type 2 Diabetes. | Calvigioni M, Biancalana E, Mazzantini D, Celandroni F, Rossi C, Mengozzi A, Ghelardi E, Solini A. | J Clin Endocrinol Metab | 10.1210/clinem/dgae389 | 2024 | | |
| Genetics | The Scent Gland Microbiomes of Wild Tamarins Provide New Insight Into Microbial Contributions to Olfactory Communication. | Carboni S, Poirier AC, Peralta-Aguilar AP, Watsa M, Erkenswick G, Melin AD. | Ecol Evol | 10.1002/ece3.72335 | 2025 | |
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| Semen microbiota are dramatically altered in men with abnormal sperm parameters. | Osadchiy V, Belarmino A, Kianian R, Sigalos JT, Ancira JS, Kanie T, Mangum SF, Tipton CD, Hsieh TM, Mills JN, Eleswarapu SV. | Sci Rep | 10.1038/s41598-024-51686-4 | 2024 | | |
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| Skin microbiome profile in people living with HIV/AIDS in Cameroon. | Ogai K, Nana BC, Lloyd YM, Arios JP, Jiyarom B, Awanakam H, Esemu LF, Hori A, Matsuoka A, Nainu F, Megnekou R, Leke RGF, Ekali GL, Okamoto S, Kuraishi T. | Front Cell Infect Microbiol | 10.3389/fcimb.2023.1211899 | 2023 | | |
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| Bacterial microbiome and host inflammatory gene expression in foreskin tissue. | Maust BS, Petkov S, Herrera C, Feng C, Brown BP, Lebina L, Opoka D, Ssemata A, Pillay N, Serwanga J, Seatlholo P, Namubiru P, Odoch G, Mugaba S, Seiphetlo T, Gray CM, Kaleebu P, Webb EL, Martinson N, Chiodi F, Fox J, Jaspan HB, CHAPS team. | Heliyon | 10.1016/j.heliyon.2023.e22145 | 2023 | | |
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| Impact of tissue processing on microbiological colonization in the context of placentophagy. | Johnson SK, Pastuschek J, Benyshek DC, Heimann Y, Moller A, Rodel J, White J, Zollkau J, Groten T. | Sci Rep | 10.1038/s41598-022-09243-4 | 2022 | | |
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| Anterior Nares Diversity and Pathobionts Represent Sinus Microbiome in Chronic Rhinosinusitis. | De Boeck I, Wittouck S, Martens K, Claes J, Jorissen M, Steelant B, van den Broek MFL, Seys SF, Hellings PW, Vanderveken OM, Lebeer S. | mSphere | 10.1128/msphere.00532-19 | 2019 | | |
| Pathogenicity | Reactive oxygen species and the bacteriostatic and bactericidal effects of isoconazole nitrate. | Czaika VA, Siebenbrock J, Czekalla F, Zuberbier T, Sieber MA. | Mycoses | 10.1111/myc.12055 | 2013 | |
| Genetics | Respiratory Bacterial Microbiota and Individual Bacterial Variability in Lung Cancer and Bronchiectasis Patients. | Ekanayake A, Madegedara D, Chandrasekharan V, Magana-Arachchi D. | Indian J Microbiol | 10.1007/s12088-019-00850-w | 2020 | |
| Evolutionary investigations of the biosynthetic diversity in the skin microbiome using lsaBGC. | Salamzade R, Cheong JZA, Sandstrom S, Swaney MH, Stubbendieck RM, Starr NL, Currie CR, Singh AM, Kalan LR. | Microb Genom | 10.1099/mgen.0.000988 | 2023 | | |
| Simultaneous profiling and cultivation of the skin microbiome of healthy young adult skin for the development of therapeutic agents. | Khayyira AS, Rosdina AE, Irianti MI, Malik A. | Heliyon | 10.1016/j.heliyon.2020.e03700 | 2020 | | |
| Idiopathic Granulomatous Mastitis-A Mystery Yet to be Unraveled: A Case Series and Review of Literature. | Mathew Thomas V, Alexander SA, Bindal P, Vredenburgh J. | Cureus | 10.7759/cureus.6895 | 2020 | | |
| Correlation Analysis of the Microbiome and Immune Function in the Lung-Gut Axis of Critically Ill Patients in the ICU. | Liu B, Yu Y, Zhao M, Xiao K, Yan P, Duan Z, Wang K, Zhao N, Cao J, Wang J, Xie L. | Front Med (Lausanne) | 10.3389/fmed.2022.808302 | 2022 | | |
| Contamination analysis of Arctic ice samples as planetary field analogs and implications for future life-detection missions to Europa and Enceladus. | Coelho LF, Blais MA, Matveev A, Keller-Costa T, Vincent WF, Costa R, Martins Z, Canario J. | Sci Rep | 10.1038/s41598-022-16370-5 | 2022 | | |
| Enzymology | Corynebacterium Species Rarely Cause Orthopedic Infections. | Kalt F, Schulthess B, Sidler F, Herren S, Fucentese SF, Zingg PO, Berli M, Zinkernagel AS, Zbinden R, Achermann Y. | J Clin Microbiol | 10.1128/jcm.01200-18 | 2018 | |
| The Skin Microbiome and Bioactive Compounds: Mechanisms of Modulation, Dysbiosis, and Dermatological Implications. | Wojciechowska K, Dos Santos Szewczyk K. | Molecules | 10.3390/molecules30224363 | 2025 | | |
| Systematic Review of Actinomycetes in the Baijiu Fermentation Microbiome. | Chen C, Yang H, Liu J, Luo H, Zou W. | Foods | 10.3390/foods11223551 | 2022 | | |
| Deep nasal sinus cavity microbiota dysbiosis in Parkinson's disease. | Pal G, Ramirez V, Engen PA, Naqib A, Forsyth CB, Green SJ, Mahdavinia M, Batra PS, Tajudeen BA, Keshavarzian A. | NPJ Parkinsons Dis | 10.1038/s41531-021-00254-y | 2021 | | |
| Pathogenicity | Decrypting Skin Microbiome in Psoriasis: Current Status. | Arya P, Kaur M, Chosyang S, Kushwaha N, Singh B. | J Psoriasis Psoriatic Arthritis | 10.1177/24755303231194293 | 2023 | |
| Meconium microbiome and its relation to neonatal growth and head circumference catch-up in preterm infants. | Terrazzan Nutricionist AC, Procianoy RS, Roesch LFW, Corso AL, Corso AL, Dobbler PT, Silveira RC. | PLoS One | 10.1371/journal.pone.0238632 | 2020 | | |
| Genetics | Targeted next generation sequencing for elbow periprosthetic joint infection diagnosis. | Flurin L, Wolf MJ, Greenwood-Quaintance KE, Sanchez-Sotelo J, Patel R. | Diagn Microbiol Infect Dis | 10.1016/j.diagmicrobio.2021.115448 | 2021 | |
| Determining Informative Microbial Single Nucleotide Polymorphisms for Human Identification. | Sherier AJ, Woerner AE, Budowle B. | Appl Environ Microbiol | 10.1128/aem.00052-22 | 2022 | | |
| 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 | | |
| Genetics | Whole genome sequencing and characterization of Corynebacterium isolated from the healthy and dry eye ocular surface. | Naqvi M, Utheim TP, Charnock C. | BMC Microbiol | 10.1186/s12866-024-03517-9 | 2024 | |
| Characterization and Analysis of the Skin Microbiota in Acne: Impact of Systemic Antibiotics. | Park SY, Kim HS, Lee SH, Kim S. | J Clin Med | 10.3390/jcm9010168 | 2020 | | |
| Urinary microbes and postoperative urinary tract infection risk in urogynecologic surgical patients. | Thomas-White KJ, Gao X, Lin H, Fok CS, Ghanayem K, Mueller ER, Dong Q, Brubaker L, Wolfe AJ. | Int Urogynecol J | 10.1007/s00192-018-3767-3 | 2018 | | |
| Pathogenicity | Unraveling the role of the microbiome in chronic rhinosinusitis. | Psaltis AJ, Mackenzie BW, Cope EK, Ramakrishnan VR. | J Allergy Clin Immunol | 10.1016/j.jaci.2022.02.022 | 2022 | |
| Characterization and Analysis of the Skin Microbiota in Rosacea: Impact of Systemic Antibiotics. | Woo YR, Lee SH, Cho SH, Lee JD, Kim HS. | J Clin Med | 10.3390/jcm9010185 | 2020 | | |
| Skin bacterial flora as a potential risk factor predisposing to late bacterial infection after cross-linked hyaluronic acid gel augmentation. | Netsvyetayeva I, Marusza W, Olszanski R, Szyller K, Krolak-Ulinska A, Swoboda-Kopec E, Sierdzinski J, Szymonski Z, Mlynarczyk G. | Infect Drug Resist | 10.2147/idr.s154328 | 2018 | | |
| Phylogeny | Taxonomic profiling of skin microbiome and correlation with clinical skin parameters in healthy Koreans. | Kim JH, Son SM, Park H, Kim BK, Choi IS, Kim H, Huh CS. | Sci Rep | 10.1038/s41598-021-95734-9 | 2021 | |
| Comparison of the ocular surface microbiota between thyroid-associated ophthalmopathy patients and healthy subjects. | Ji X, Dong K, Pu J, Yang J, Zhang Z, Ning X, Ma Q, Kang Z, Xu J, Sun B. | Front Cell Infect Microbiol | 10.3389/fcimb.2022.914749 | 2022 | | |
| Persistent enrichment of multidrug-resistant Klebsiella in oral and nasal communities during long-term starvation. | Liu J, Spencer N, Utter DR, Grossman AS, Lei L, Dos Santos NC, Shi W, Baker JL, Hasturk H, He X, Bor B. | Microbiome | 10.1186/s40168-024-01854-5 | 2024 | | |
| Cefiderocol for Extensively Drug-Resistant Gram-Negative Bacterial Infections: Real-world Experience From a Case Series and Review of the Literature. | Zingg S, Nicoletti GJ, Kuster S, Junker M, Widmer A, Egli A, Hinic V, Sendi P, Battegay M, Battig V, Khanna N, Tschudin-Sutter S. | Open Forum Infect Dis | 10.1093/ofid/ofaa185 | 2020 | | |
| Diagnostic and prognostic potential of the microbiome in ovarian cancer treatment response. | Asangba AE, Chen J, Goergen KM, Larson MC, Oberg AL, Casarin J, Multinu F, Kaufmann SH, Mariani A, Chia N, Walther-Antonio MRS. | Sci Rep | 10.1038/s41598-023-27555-x | 2023 | | |
| Individual Identification with Short Tandem Repeat Analysis and Collection of Secondary Information Using Microbiome Analysis. | Lee S, You H, Lee S, Lee Y, Kang HG, Sung HJ, Choi J, Hyun S. | Genes (Basel) | 10.3390/genes13010085 | 2021 | | |
| Microbiota-Associated HAF-EVs Regulate Monocytes by Triggering or Inhibiting Inflammasome Activation. | Nunzi E, Mezzasoma L, Bellezza I, Zelante T, Orvietani P, Coata G, Giardina I, Sagini K, Manni G, Di Michele A, Gargaro M, Talesa VN, Di Renzo GC, Fallarino F, Romani R. | Int J Mol Sci | 10.3390/ijms24032527 | 2023 | | |
| Patient genetics is linked to chronic wound microbiome composition and healing. | Tipton CD, Wolcott RD, Sanford NE, Miller C, Pathak G, Silzer TK, Sun J, Fleming D, Rumbaugh KP, Little TD, Phillips N, Phillips CD. | PLoS Pathog | 10.1371/journal.ppat.1008511 | 2020 | | |
| Microbiome Profile in Patients with Adult Balanoposthitis: Relationship with Redundant Prepuce, Genital Mucosa Physical Barrier Status and Inflammation. | Li M, Mao JX, Jiang HH, Huang CM, Gao XH, Zhang L. | Acta Derm Venereol | 10.2340/00015555-3833 | 2021 | | |
| Genetic and chemical control of tuberculostearic acid production in Mycobacterium avium subspecies paratuberculosis. | Bannantine JP, Duffy SC, Colombatti Olivieri MA, Behr MA, Biet F, Price NPJ. | Microbiol Spectr | 10.1128/spectrum.00508-24 | 2024 | | |
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| Smartphones as an Ecological Niche of Microorganisms: Microbial Activities, Assembly, and Opportunistic Pathogens. | He J, Shen X, Zhang N, Sun C, Shao Y. | Microbiol Spectr | 10.1128/spectrum.01508-22 | 2022 | | |
| 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 | |
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| Differential Microbial Signature Associated With Benign Prostatic Hyperplasia and Prostate Cancer. | Sarkar P, Malik S, Banerjee A, Datta C, Pal DK, Ghosh A, Saha A. | Front Cell Infect Microbiol | 10.3389/fcimb.2022.894777 | 2022 | | |
| Fomite Transmission Follows Invasion Ecology Principles. | Wang P, Tong X, Zhang N, Miao T, Chan JPT, Huang H, Lee PKH, Li Y. | mSystems | 10.1128/msystems.00211-22 | 2022 | | |
| Strain heterogeneity, cooccurrence network, taxonomic composition and functional profile of the healthy ocular surface microbiome. | Kang Y, Lin S, Ma X, Che Y, Chen Y, Wan T, Zhang D, Shao J, Xu J, Xu Y, Lou Y, Zheng M. | Eye Vis (Lond) | 10.1186/s40662-021-00228-4 | 2021 | | |
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| Phylogeny | Characterization of the skin microbiota in bullous pemphigoid patients and controls reveals novel microbial indicators of disease. | Belheouane M, Hermes BM, Van Beek N, Benoit S, Bernard P, Drenovska K, Gerdes S, Glaser R, Goebeler M, Gunther C, von Georg A, Hammers CM, Holtsche MM, Homey B, Horvath ON, Hubner F, Linnemann B, Joly P, Marton D, Patsatsi A, Pfohler C, Sardy M, Huilaja L, Vassileva S, Zillikens D, Ibrahim S, Sadik CD, Schmidt E, Baines JF. | J Adv Res | 10.1016/j.jare.2022.03.019 | 2023 | |
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| Circulating Antibodies to Skin Bacteria Detected by Serological Lateral Flow Immunoassays Differentially Correlated With Bacterial Abundance. | Huang RY, Lee CN, Moochhala S. | Front Microbiol | 10.3389/fmicb.2021.709562 | 2021 | | |
| Enzymology | Application of PCR-SSCP for molecular epidemiological studies on the exposure of farm children to bacteria in environmental dust. | Korthals M, Ege MJ, Tebbe CC, von Mutius E, Bauer J. | J Microbiol Methods | 10.1016/j.mimet.2008.01.010 | 2008 | |
| Comprehensive Analysis of the Effect of Probiotic Intake by the Mother on Human Breast Milk and Infant Fecal Microbiota. | Shin DY, Park J, Yi DY. | J Korean Med Sci | 10.3346/jkms.2021.36.e58 | 2021 | | |
| Comparison of the human microbiome in adults and children with chronic rhinosinusitis. | Park IH, Lee JS, Park JH, Kang SH, Hong SM, Park IS, Yoon JH, Hong SJ. | PLoS One | 10.1371/journal.pone.0242770 | 2020 | | |
| Intravenous immunoglobulin in necrotizing fasciitis - A case report and review of recent literature. | Koch C, Hecker A, Grau V, Padberg W, Wolff M, Henrich M. | Ann Med Surg (Lond) | 10.1016/j.amsu.2015.07.017 | 2015 | | |
| Lactobacillus sakei suppresses collagen-induced arthritis and modulates the differentiation of T helper 17 cells and regulatory B cells. | Jhun J, Min HK, Ryu J, Lee SY, Ryu JG, Choi JW, Na HS, Lee SY, Jung Y, Park SJ, Park MS, Kwon B, Ji GE, Cho ML, Park SH. | J Transl Med | 10.1186/s12967-020-02477-8 | 2020 | | |
| Sinus microbiome diversity depletion and Corynebacterium tuberculostearicum enrichment mediates rhinosinusitis. | Abreu NA, Nagalingam NA, Song Y, Roediger FC, Pletcher SD, Goldberg AN, Lynch SV. | Sci Transl Med | 10.1126/scitranslmed.3003783 | 2012 | | |
| Phylogeny | Mapping axillary microbiota responsible for body odours using a culture-independent approach. | Troccaz M, Gaia N, Beccucci S, Schrenzel J, Cayeux I, Starkenmann C, Lazarevic V. | Microbiome | 10.1186/s40168-014-0064-3 | 2015 | |
| Enzymology | Evaluation of three sample preparation methods for the direct identification of bacteria in positive blood cultures by MALDI-TOF. | Tanner H, Evans JT, Gossain S, Hussain A. | BMC Res Notes | 10.1186/s13104-016-2366-y | 2017 | |
| Pathogenicity | Microbes, Histology, Blood Analysis, Enterotoxins, and Cytokines: Findings From the ASERF Systemic Symptoms in Women-Biospecimen Analysis Study: Part 3. | McGuire P, Glicksman C, Wixtrom R, Sung CJ, Hamilton R, Lawrence M, Haws M, Ferenz S, Kadin M. | Aesthet Surg J | 10.1093/asj/sjac225 | 2023 | |
| Phylogeny | Microbiome Compositions From Infertile Couples Seeking In Vitro Fertilization, Using 16S rRNA Gene Sequencing Methods: Any Correlation to Clinical Outcomes? | Okwelogu SI, Ikechebelu JI, Agbakoba NR, Anukam KC. | Front Cell Infect Microbiol | 10.3389/fcimb.2021.709372 | 2021 | |
| Genetics | Improving the sensitivity of long read overlap detection using grouped short k-mer matches. | Du N, Chen J, Sun Y. | BMC Genomics | 10.1186/s12864-019-5475-x | 2019 | |
| Location and condition based reconstruction of colon cancer microbiome from human RNA sequencing data. | Sambruni G, Macandog AD, Wirbel J, Cagnina D, Catozzi C, Dallavilla T, Borgo F, Fazio N, Fumagalli-Romario U, Petz WL, Manzo T, Ravenda SP, Zeller G, Nezi L, Schaefer MH. | Genome Med | 10.1186/s13073-023-01180-9 | 2023 | | |
| Oral Microbiota Profile in Patients with Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis. | Esberg A, Johansson L, Berglin E, Mohammad AJ, Jonsson AP, Dahlqvist J, Stegmayr B, Johansson I, Rantapaa-Dahlqvist S. | Microorganisms | 10.3390/microorganisms10081572 | 2022 | | |
| Genetics | Forensic Human Identification Using Skin Microbiomes. | Schmedes SE, Woerner AE, Budowle B. | Appl Environ Microbiol | 10.1128/aem.01672-17 | 2017 | |
| Phylogeny | SEPATH: benchmarking the search for pathogens in human tissue whole genome sequence data leads to template pipelines. | Gihawi A, Rallapalli G, Hurst R, Cooper CS, Leggett RM, Brewer DS. | Genome Biol | 10.1186/s13059-019-1819-8 | 2019 | |
| The microbiome of the middle meatus in healthy adults. | Ramakrishnan VR, Feazel LM, Gitomer SA, Ir D, Robertson CE, Frank DN. | PLoS One | 10.1371/journal.pone.0085507 | 2013 | | |
| Phylogeny | Distinct Changes Occur in the Human Breast Milk Microbiome Between Early and Established Lactation in Breastfeeding Guatemalan Mothers. | Gonzalez E, Brereton NJB, Li C, Lopez Leyva L, Solomons NW, Agellon LB, Scott ME, Koski KG. | Front Microbiol | 10.3389/fmicb.2021.557180 | 2021 | |
| Pathogenicity | Corynebacterium tuberculostearicum: a potentially misidentified and multiresistant Corynebacterium species isolated from clinical specimens. | Hinic V, Lang C, Weisser M, Straub C, Frei R, Goldenberger D. | J Clin Microbiol | 10.1128/jcm.00386-12 | 2012 | |
| Phylogeny | Analysis of Sinonasal Microbiota in Exacerbations of Chronic Rhinosinusitis Subgroups. | Vandelaar LJ, Hanson B, Marino M, Yao WC, Luong AU, Arias CA, Ramakrishnan V, Citardi MJ. | OTO Open | 10.1177/2473974x19875100 | 2019 | |
| Pathogenicity | In vitro Antimicrobial Activity of Acne Drugs Against Skin-Associated Bacteria. | Blaskovich MAT, Elliott AG, Kavanagh AM, Ramu S, Cooper MA. | Sci Rep | 10.1038/s41598-019-50746-4 | 2019 | |
| Enzymology | 3-Methyl-3-sulfanylhexan-1-ol as a major descriptor for the human axilla-sweat odour profile. | Troccaz M, Starkenmann C, Niclass Y, van de Waal M, Clark AJ. | Chem Biodivers | 10.1002/cbdv.200490077 | 2004 | |
| Identification and Analysis of Human Microbe-Disease Associations by Matrix Decomposition and Label Propagation. | Qu J, Zhao Y, Yin J. | Front Microbiol | 10.3389/fmicb.2019.00291 | 2019 | | |
| Enzymology | Corynebacterium species isolated from patients with mastitis. | Paviour S, Musaad S, Roberts S, Taylor G, Taylor S, Shore K, Lang S, Holland D. | Clin Infect Dis | 10.1086/344463 | 2002 | |
| Enzymology | Characterisation of the nasal microbiota in granulomatosis with polyangiitis. | Rhee RL, Sreih AG, Najem CE, Grayson PC, Zhao C, Bittinger K, Collman RG, Merkel PA. | Ann Rheum Dis | 10.1136/annrheumdis-2018-213645 | 2018 | |
| Lactic acid bacteria as probiotics for the nose? | De Boeck I, Spacova I, Vanderveken OM, Lebeer S. | Microb Biotechnol | 10.1111/1751-7915.13759 | 2021 | | |
| Enzymology | Evidence for contamination as the origin for bacteria found in human placenta rather than a microbiota. | Gschwind R, Fournier T, Kennedy S, Tsatsaris V, Cordier AG, Barbut F, Butel MJ, Wydau-Dematteis S. | PLoS One | 10.1371/journal.pone.0237232 | 2020 | |
| Taxonomy and Molecular Phylogeny of Two New Species of Prostomatean Ciliates With Establishment of Foissnerophrys gen. n. (Alveolata, Ciliophora). | Jiang L, Zhuang W, El-Serehy HA, Al-Farraj SA, Warren A, Hu X. | Front Microbiol | 10.3389/fmicb.2021.686929 | 2021 | | |
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| Broad-Range PCR Coupled with Electrospray Ionization Time of Flight Mass Spectrometry for Detection of Bacteremia and Fungemia in Patients with Neutropenic Fever. | Desmet S, Maertens J, Bueselinck K, Lagrou K. | J Clin Microbiol | 10.1128/jcm.01066-16 | 2016 | | |
| Effect of Sample Collection (Manual Expression vs. Pumping) and Skimming on the Microbial Profile of Human Milk Using Culture Techniques and Metataxonomic Analysis. | Rodriguez-Cruz M, Alba C, Aparicio M, Checa MA, Fernandez L, Rodriguez JM. | Microorganisms | 10.3390/microorganisms8091278 | 2020 | | |
| The microbiome of the upper airways: focus on chronic rhinosinusitis. | Chalermwatanachai T, Velasquez LC, Bachert C. | World Allergy Organ J | 10.1186/s40413-014-0048-6 | 2015 | | |
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| Perturbation of Alphavirus and Flavivirus Infectivity by Components of the Bacterial Cell Wall. | Langendries L, Jacobs S, Abdelnabi R, Verwimp S, Kaptein S, Baatsen P, Van Mellaert L, Delang L. | J Virol | 10.1128/jvi.00060-22 | 2022 | | |
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| Phylogeny | Genomic diversity and phylogenetic relationships among lipid-requiring diphtheroids from humans and characterization of Corynebacterium macginleyi sp. nov. | Riegel P, Ruimy R, de Briel D, Prevost G, Jehl F, Christen R, Monteil H. | Int J Syst Bacteriol | 10.1099/00207713-45-1-128 | 1995 | |
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How to citeIf you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive3221.20260601.11
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data
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