Streptococcus thermophilus is a microaerophile, mesophilic, Gram-positive prokaryote that was isolated from pasteurized milk.
Gram-positive coccus-shaped microaerophile mesophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Bacillati |
| Phylum Bacillota |
| Class Bacilli |
| Order Lactobacillales |
| Family Streptococcaceae |
| Genus Streptococcus |
| Species Streptococcus thermophilus |
| Full scientific name Streptococcus thermophilus Orla-Jensen 1919 (Approved Lists 1980) |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 8965 | TODD-HEWITT MEDIUM (DSMZ Medium 697) | Medium recipe at MediaDive | Name: TODD-HEWITT MEDIUM (DSMZ Medium 697; with strain-specific modifications) Composition: Casein peptone 20.0 g/l Meat infusion 10.0 g/l NaCl 2.0 g/l NaHCO3 2.0 g/l Dextrose 2.0 g/l Choline 1.0 g/l Na2HPO4 0.4 g/l Distilled water | ||
| 8965 | MRS MEDIUM (DSMZ Medium 11) | Medium recipe at MediaDive | Name: MRS MEDIUM (DSMZ Medium 11) Composition: Glucose 20.0 g/l Casein peptone 10.0 g/l Meat extract 10.0 g/l Na-acetate 5.0 g/l Yeast extract 5.0 g/l (NH4)3 citrate 2.0 g/l K2HPO4 2.0 g/l Tween 80 1.0 g/l MgSO4 x 7 H2O 0.2 g/l MnSO4 x H2O 0.05 g/l Distilled water | ||
| 8965 | 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 | ||
| 41772 | MEDIUM 6 - Columbia agar with 10 % horse blood | Distilled water make up to (1000.000 ml);Columbia agar (39.000 g);Horseblood (100.000 ml) | |||
| 123510 | CIP Medium 6 | Medium recipe at CIP | |||
| 123510 | CIP Medium 29 | Medium recipe at CIP | |||
| 123510 | CIP Medium 72 | Medium recipe at CIP |
| @ref | Salt | Growth | Tested relation | Concentration | |
|---|---|---|---|---|---|
| 123510 | NaCl | growth | 6.5 % |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 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 |
| 68370 | 29016 ChEBI | arginine | - | hydrolysis | from API 20STR |
| 68381 | 29016 ChEBI | arginine | - | hydrolysis | from API rID32STR |
| 68371 | 17057 ChEBI | cellobiose | - | builds acid from | from API 50CH acid |
| 68371 | 17108 ChEBI | D-arabinose | - | builds acid from | from API 50CH acid |
| 68381 | 18333 ChEBI | D-arabitol | - | builds acid from | from API rID32STR |
| 68371 | 18333 ChEBI | D-arabitol | - | 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 | 62318 ChEBI | D-lyxose | - | builds acid from | from API 50CH acid |
| 68381 | 16899 ChEBI | D-mannitol | - | builds acid from | from API rID32STR |
| 68371 | 16899 ChEBI | D-mannitol | - | builds acid from | from API 50CH acid |
| 68370 | 16899 ChEBI | D-mannitol | - | builds acid from | from API 20STR |
| 68381 | 16988 ChEBI | D-ribose | - | builds acid from | from API rID32STR |
| 68370 | 16988 ChEBI | D-ribose | - | builds acid from | from API 20STR |
| 68371 | 16988 ChEBI | D-ribose | - | builds acid from | from API 50CH acid |
| 68371 | 17924 ChEBI | D-sorbitol | - | builds acid from | from API 50CH acid |
| 68370 | 17924 ChEBI | D-sorbitol | - | builds acid from | from API 20STR |
| 68381 | 16443 ChEBI | D-tagatose | - | builds acid from | from API rID32STR |
| 68371 | 16443 ChEBI | D-tagatose | - | builds acid from | from API 50CH acid |
| 68371 | 65327 ChEBI | D-xylose | - | builds acid from | from API 50CH acid |
| 68371 | 17113 ChEBI | erythritol | - | builds acid from | from API 50CH acid |
| 123510 | 4853 ChEBI | esculin | - | hydrolysis | |
| 68370 | 4853 ChEBI | esculin | - | hydrolysis | from API 20STR |
| 68371 | 16813 ChEBI | galactitol | - | builds acid from | from API 50CH acid |
| 68371 | 28066 ChEBI | gentiobiose | - | builds acid from | from API 50CH acid |
| 68371 | 24265 ChEBI | gluconate | - | builds acid from | from API 50CH acid |
| 68371 | 17754 ChEBI | glycerol | - | builds acid from | from API 50CH acid |
| 68381 | 28087 ChEBI | glycogen | - | builds acid from | from API rID32STR |
| 68371 | 28087 ChEBI | glycogen | - | builds acid from | from API 50CH acid |
| 68370 | 28087 ChEBI | glycogen | - | builds acid from | from API 20STR |
| 68381 | 606565 ChEBI | hippurate | - | hydrolysis | from API rID32STR |
| 123510 | 606565 ChEBI | hippurate | - | hydrolysis | |
| 68370 | 606565 ChEBI | hippurate | - | hydrolysis | from API 20STR |
| 68371 | 15443 ChEBI | inulin | - | builds acid from | from API 50CH acid |
| 68370 | 15443 ChEBI | inulin | - | builds acid from | from API 20STR |
| 68381 | 30849 ChEBI | L-arabinose | - | builds acid from | from API rID32STR |
| 68370 | 30849 ChEBI | L-arabinose | - | builds acid from | from API 20STR |
| 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 |
| 68381 | 17716 ChEBI | lactose | + | builds acid from | from API rID32STR |
| 68370 | 17716 ChEBI | lactose | + | builds acid from | from API 20STR |
| 68381 | 6731 ChEBI | melezitose | - | builds acid from | from API rID32STR |
| 68371 | 6731 ChEBI | melezitose | - | builds acid from | from API 50CH acid |
| 68381 | 28053 ChEBI | melibiose | - | builds acid from | from API rID32STR |
| 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 |
| 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 |
| 68371 | 59640 ChEBI | N-acetylglucosamine | - | builds acid from | from API 50CH acid |
| 123510 | 17632 ChEBI | nitrate | - | reduction | |
| 123510 | 16301 ChEBI | nitrite | - | reduction | |
| 68371 | Potassium 2-ketogluconate | - | builds acid from | from API 50CH acid | |
| 68371 | Potassium 5-ketogluconate | - | builds acid from | from API 50CH acid | |
| 68381 | 27941 ChEBI | pullulan | - | builds acid from | from API rID32STR |
| 68381 | 16634 ChEBI | raffinose | - | builds acid from | from API rID32STR |
| 68371 | 16634 ChEBI | raffinose | - | builds acid from | from API 50CH acid |
| 68370 | 16634 ChEBI | raffinose | - | builds acid from | from API 20STR |
| 68371 | 15963 ChEBI | ribitol | - | builds acid from | from API 50CH acid |
| 68371 | 17814 ChEBI | salicin | - | builds acid from | from API 50CH acid |
| 68381 | 30911 ChEBI | sorbitol | - | builds acid from | from API rID32STR |
| 68371 | 28017 ChEBI | starch | - | builds acid from | from API 50CH acid |
| 68370 | 28017 ChEBI | starch | - | builds acid from | from API 20STR |
| 68381 | 17992 ChEBI | sucrose | + | builds acid from | from API rID32STR |
| 68381 | 27082 ChEBI | trehalose | - | builds acid from | from API rID32STR |
| 68371 | 27082 ChEBI | trehalose | - | builds acid from | from API 50CH acid |
| 68370 | 27082 ChEBI | trehalose | - | builds acid from | from API 20STR |
| 68371 | 32528 ChEBI | turanose | - | builds acid from | from API 50CH acid |
| 68371 | 17151 ChEBI | xylitol | - | builds acid from | from API 50CH acid |
| @ref | Metabolite | Is sensitive | Is resistant | |
|---|---|---|---|---|
| 123510 | 0129 (2,4-Diamino-6,7-di-iso-propylpteridine phosphate) |
| @ref | Value | Activity | Ec | |
|---|---|---|---|---|
| 68382 | acid phosphatase | - | 3.1.3.2 | from API zym |
| 68381 | Alanyl-Phenylalanyl-Proline arylamidase | + | from API rID32STR | |
| 123510 | alcohol dehydrogenase | - | 1.1.1.1 | |
| 68382 | alkaline phosphatase | - | 3.1.3.1 | from API zym |
| 68370 | alkaline phosphatase | - | 3.1.3.1 | from API 20STR |
| 68382 | alpha-chymotrypsin | - | 3.4.21.1 | from API zym |
| 68382 | alpha-fucosidase | - | 3.2.1.51 | from API zym |
| 68381 | alpha-galactosidase | - | 3.2.1.22 | from API rID32STR |
| 68382 | alpha-galactosidase | - | 3.2.1.22 | from API zym |
| 68370 | alpha-galactosidase | - | 3.2.1.22 | from API 20STR |
| 68382 | alpha-glucosidase | - | 3.2.1.20 | from API zym |
| 68382 | alpha-mannosidase | - | 3.2.1.24 | from API zym |
| 68381 | arginine dihydrolase | - | 3.5.3.6 | from API rID32STR |
| 68370 | arginine dihydrolase | - | 3.5.3.6 | from API 20STR |
| 68381 | beta-galactosidase | + | 3.2.1.23 | from API rID32STR |
| 68382 | beta-galactosidase | - | 3.2.1.23 | from API zym |
| 123510 | beta-galactosidase | + | 3.2.1.23 | |
| 68370 | beta-galactosidase | + | 3.2.1.23 | from API 20STR |
| 68381 | beta-glucosidase | - | 3.2.1.21 | from API rID32STR |
| 68382 | beta-glucosidase | - | 3.2.1.21 | from API zym |
| 68370 | beta-glucosidase | - | 3.2.1.21 | from API 20STR |
| 68382 | beta-glucuronidase | - | 3.2.1.31 | from API zym |
| 68381 | beta-glucuronidase | - | 3.2.1.31 | from API rID32STR |
| 68370 | beta-glucuronidase | - | 3.2.1.31 | from API 20STR |
| 68381 | beta-mannosidase | - | 3.2.1.25 | from API rID32STR |
| 123510 | catalase | - | 1.11.1.6 | |
| 68382 | cystine arylamidase | - | 3.4.11.3 | from API zym |
| 8965 | cytochrome-c oxidase | - | 1.9.3.1 | |
| 68382 | esterase (C 4) | + | from API zym | |
| 68382 | esterase lipase (C 8) | + | from API zym | |
| 123510 | gamma-glutamyltransferase | - | 2.3.2.2 | |
| 68382 | leucine arylamidase | + | 3.4.11.1 | from API zym |
| 68370 | leucine arylamidase | + | 3.4.11.1 | from API 20STR |
| 68382 | lipase (C 14) | - | from API zym | |
| 123510 | lysine decarboxylase | - | 4.1.1.18 | |
| 68381 | N-acetyl-beta-glucosaminidase | - | 3.2.1.52 | from API rID32STR |
| 68382 | N-acetyl-beta-glucosaminidase | - | 3.2.1.52 | from API zym |
| 68382 | naphthol-AS-BI-phosphohydrolase | - | from API zym | |
| 123510 | ornithine decarboxylase | - | 4.1.1.17 | |
| 123510 | oxidase | - | ||
| 68381 | pyrrolidonyl arylamidase | - | 3.4.19.3 | from API rID32STR |
| 68370 | pyrrolidonyl arylamidase | - | 3.4.19.3 | from API 20STR |
| 68382 | trypsin | - | 3.4.21.4 | from API zym |
| 123510 | urease | + | 3.5.1.5 | |
| 68382 | valine arylamidase | + | from API zym |
| @ref | Acetoin production (Voges Proskauer test)VP | HIP | ESC | PYRA | alpha GAL | beta GUR | beta GAL | PAL | LAP | ADH | RIB | ARA | MAN | SOR | LAC | TRE | INU | RAF | AMD | GLYG | beta hemolysis presentbeta HEM | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 8965 | + | - | - | - | - | - | + | - | + | - | - | - | - | - | + | - | - | - | - | - | - | |
| 8965 | + | - | - | - | - | - | + | - | + | - | - | - | - | - | + | - | - | - | - | - | not determinedn.d. | |
| 8965 | + | - | - | - | - | - | + | - | + | - | - | - | - | - | + | - | - | - | - | - | not determinedn.d. |
| @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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 8965 | - | - | - | - | - | - | - | - | - | - | + | +/- | +/- | +/- | - | - | - | - | - | - | - | - | - | - | - | +/- | - | - | +/- | +/- | - | +/- | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| @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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 8965 | - | - | + | - | - | +/- | - | - | - | + | - | - | + | - | - | - | + | + | + | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| 8965 | - | - | + | - | - | + | - | - | - | + | - | - | + | - | - | - | + | + | + | - | - | + | - | - | - | +/- | - | - | - | - | - | + | |
| 8965 | - | - | + | - | - | +/- | - | - | - | + | - | - | + | - | - | - | + | + | + | - | - | +/- | - | - | - | + | - | - | - | - | - | + | |
| 8965 | - | - | + | - | - | - | - | - | - | + | - | - | + | - | - | - | - | + | + | - | - | - | - | - | - | - | - | - | - | - | - | + | |
| 8965 | - | - | + | - | - | - | not determinedn.d. | - | - | + | - | - | + | - | - | - | + | + | + | - | - | + | - | - | - | + | - | - | - | - | - | + | |
| 8965 | - | - | + | - | - | - | - | - | - | + | - | - | + | - | - | - | + | + | + | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| 8965 | - | - | + | - | - | - | - | - | - | + | - | - | + | - | - | - | + | + | + | - | - | - | - | - | - | - | - | - | - | - | - | + |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Engineered | #Food production | #Dairy product | |
| #Engineered | #Treatment | #Preserved | |
| #Engineered | #Treatment | #Sterilized (Desinfected) |
Global distribution of 16S sequence AY188354 (>99% sequence identity) for Streptococcus from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1012059v1 assembly for Streptococcus thermophilus ATCC 19258 | complete | 1308 | 97.6 | ||||
| 124043 | 41965_C01 assembly for Streptococcus thermophilus NCTC12958 | complete | 1308 | 94.86 | ||||
| 66792 | Streptococcus thermophilus strain DSM 20617 | contig | 1308 | 62.69 | ||||
| 66792 | Streptococcus thermophilus strain DSM 20617 | contig | 1308 | 62.69 | ||||
| 66792 | Streptococcus thermophilus strain DSM 20617 | contig | 1308 | 62.69 | ||||
| 124043 | ASM4264998v1 assembly for Streptococcus thermophilus CCUG 21957 | scaffold | 1308 | 61.03 | ||||
| 66792 | ASM1997287v1 assembly for Streptococcus thermophilus DSM 20617 | contig | 1308 | 61.02 | ||||
| 67770 | ASM435450v1 assembly for Streptococcus thermophilus ATCC 19258 | scaffold | 1308 | 59.03 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | Streptococcus thermophilus strain DSM 20617 16S ribosomal RNA gene, partial sequence; 16S-23S ribosomal RNA intergenic spacer and tRNA-Ala gene, complete sequence; and 23S ribosomal RNA gene, partial sequence | DQ839563 | 529 | 1308 | ||
| 20218 | Streptococcus thermophilus strain ATCC 19258 16S ribosomal RNA gene, partial sequence; 16S-23S ribosomal RNA internal transcribed spacer, complete sequence; and 23S ribosomal RNA gene, partial sequence | JN181393 | 538 | 1308 | ||
| 20218 | S.thermophilus gene for 16S rRNA | X68418 | 1542 | 1308 | ||
| 8965 | Streptococcus thermophilus strain ATCC 19258 16S ribosomal RNA gene, complete sequence | AY188354 | 1539 | 1308 | ||
| 124043 | Streptococcus thermophilus partial 16S rRNA gene, strain CIP 102303 | AM411115 | 195 | 1308 | ||
| 124043 | Streptococcus thermophilus ATCC 19258 gene for 16S rRNA, partial sequence. | LC752342 | 588 | 1308 | ||
| 124043 | Streptococcus thermophilus strain BCRC 13869 16S ribosomal RNA gene and 16S-23S ribosomal RNA intergenic spacer, partial sequence. | DQ204555 | 363 | 1308 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 97.50 | no |
| 125439 | motility | BacteriaNetⓘ | no | 77.50 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 69.80 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | microaerophile | 97.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 92.52 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 90.81 | no |
| 125438 | aerobic | aerobicⓘ | no | 97.27 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 92.42 | no |
| 125438 | thermophilic | thermophileⓘ | no | 94.53 | no |
| 125438 | flagellated | motile2+ⓘ | no | 91.00 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Establishment and Validation of a Two-Step LAMP Assay for Detection of Bacillus cereus-Group Isolates in Food and Their Possibility of Non-haemolytic Enterotoxin Production. | Busch A, Schotte U, Jessberger N, Frentzel H, Plotz M, Abdulmawjood A. | Front Microbiol | 10.3389/fmicb.2022.930648 | 2022 | ||
| Rapid Diagnostic of Streptococcus suis in Necropsy Samples of Pigs by thrA-Based Loop-Mediated Isothermal Amplification Assay. | Hess J, Kreitlow A, Rohn K, Hennig-Pauka I, Abdulmawjood A. | Microorganisms | 10.3390/microorganisms11102447 | 2023 | ||
| Specificity of the AMP-6000 Method for Enumerating Clostridium Endospores in Milk. | Burtscher J, Rudavsky T, Zitz U, Domig KJ. | Foods | 10.3390/foods13081192 | 2024 | ||
| Phylogeny | Dynamics of whole and lysed bacterial cells during Parmigiano-Reggiano cheese production and ripening. | Gatti M, De Dea Lindner J, De Lorentiis A, Bottari B, Santarelli M, Bernini V, Neviani E. | Appl Environ Microbiol | 10.1128/aem.00871-08 | 2008 | |
| Substitution of Asp29 with Asn29 in the metallochaperone UreE of Streptococcus thermophilus DSM 20617T increases the urease activity and anticipates urea hydrolysis during milk fermentation. | Arioli S, Mangieri N, Zanchetta Y, Russo P, Mora D. | Int J Food Microbiol | 10.1016/j.ijfoodmicro.2024.110684 | 2024 | ||
| Genetics | RRNPP quorum-sensing repertoires in the salivarius group genomes: overrepresentation and synchronous activation of SHP/Rgg systems in Streptococcus thermophilus. | Caillot Q, Guillot A, Lacroix T, Oliveira-Correia L, Huillet E, Andre G, Nicolas P, Gardan R. | J Bacteriol | 10.1128/jb.00231-25 | 2025 | |
| The Effects of High-Dose Probiotic Supplementation on Immune Activation and Neurocognitive Disorders in People Living with HIV Undergoing Successful Antiretroviral Treatment: The Procog Study. | Vassallo M, Zerlini M, Fabre R, Joly H, Durant J, Makinson A, Mauries A, Capeau J, Fellahi S, Bastard JP, Pradier C, Lebrun-Frenay C. | Pathogens | 10.3390/pathogens14060568 | 2025 | ||
| Effects of Probiotics, Prebiotics, and Synbiotics on Sarcopenia Parameters in Older Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. | Besora-Moreno M, Llaurado E, Valls RM, Pedret A, Sola R. | Nutr Rev | 10.1093/nutrit/nuae145 | 2025 | ||
| Biotechnology | In vitro digestive system simulation and anticancer activity of soymilk fermented by probiotics and synbiotics immobilised on agro-industrial residues. | Gad AI, Orabi MM, Abou-Taleb KA, Abdelghani DY, Amin SA. | Sci Rep | 10.1038/s41598-024-68086-3 | 2024 | |
| Bacteriophage-host interactions in Streptococcus thermophilus and their impact on co-evolutionary processes. | Lavelle K, McDonnell B, Fitzgerald G, van Sinderen D, Mahony J. | FEMS Microbiol Rev | 10.1093/femsre/fuad032 | 2023 | ||
| Lactiplantibacillus (Lactobacillus) plantarum as a Complementary Treatment to Improve Symptomatology in Neurodegenerative Disease: A Systematic Review of Open Access Literature. | Beltran-Velasco AI, Reiriz M, Uceda S, Echeverry-Alzate V. | Int J Mol Sci | 10.3390/ijms25053010 | 2024 | ||
| Pathogenicity | Long-term Probiotics Intervention Facilitates Recovery of Motor and Non-motor Functions by Regulating Inflammation and Modulating Gut-brain Axis in 6-OHDA Rat Model of Parkinson's Disease. | Sharma S, Jain S, Chittora R, Chaudhry R, Nag TC, A E, Radhakrishnan DM, Pandey S, Das S, Bamola VD, Kochhar KP. | Ann Neurosci | 10.1177/09727531251335746 | 2025 | |
| Effect of In Ovo Supplementation of Slab51 Probiotic Mixture, Associated with Marek's Disease Vaccine, on Growth Performance, Intestinal Morphology and Eimeria spp. Infection in Broiler Chickens. | Biagini L, Galosi L, Tambella AM, Roncarati A, De Bellis D, Pesaro S, Attili AR, Berardi S, Rossi G. | Animals (Basel) | 10.3390/ani14233435 | 2024 | ||
| Biotechnology | Manipulating the growth environment through co-culture to enhance stress tolerance and viability of probiotic strains in the gastrointestinal tract. | Oana K, Shimizu K, Takada T, Makino H, Yamazaki M, Katto M, Ando M, Kurakawa T, Oishi K. | Appl Environ Microbiol | 10.1128/aem.01502-23 | 2023 | |
| Viability-PCR for the selective detection of Lactobacillus acidophilus and Bifidobacterium bifidum in live bacteria-containing products. | Catone S, Iannantuono S, Genovese D, Von Hunolstein C, Franciosa G. | Front Microbiol | 10.3389/fmicb.2024.1400529 | 2024 | ||
| Metabolism | Probiotics as Potential Tool to Mitigate Nucleotide Metabolism Alterations Induced by DiNP Dietary Exposure in Danio rerio. | Giommi C, Maradonna F, Ladisa C, Habibi HR, Carnevali O. | Int J Mol Sci | 10.3390/ijms252011151 | 2024 | |
| Clove and Thyme Essential Oils: From Molecular Docking to Food Application-A Study of Their Preservative Properties in Buttermilk. | Atteya MR, Romeilah RM, Ramadan KMA, El-Beltagi HS, Gaber AM, Al Hashedi SA, AboZaid NA, Mahmoud MAA, Youssef R, Mohamed RA, Bendary ESA. | ACS Omega | 10.1021/acsomega.4c11538 | 2025 | ||
| Bifidobacterium infantis and Bifidobacterium breve Improve Symptomatology and Neuronal Damage in Neurodegenerative Disease: A Systematic Review. | Reiriz M, Beltran-Velasco AI, Echeverry-Alzate V, Martinez-Miguel E, Gomez-Senent S, Uceda S, Clemente-Suarez VJ. | Nutrients | 10.3390/nu17030391 | 2025 | ||
| Probiotics and Functional Gastrointestinal Disorders in Pediatric Age: A Narrative Review. | Capozza M, Laforgia N, Rizzo V, Salvatore S, Guandalini S, Baldassarre M. | Front Pediatr | 10.3389/fped.2022.805466 | 2022 | ||
| Efficacy of probiotic Streptococcus thermophilus in counteracting TGF-beta1-induced fibrotic response in normal human dermal fibroblasts. | Lombardi F, Augello FR, Artone S, Bahiti B, Sheldon JM, Giuliani M, Cifone MG, Palumbo P, Cinque B. | J Inflamm (Lond) | 10.1186/s12950-022-00324-9 | 2022 | ||
| Looking for the Ideal Probiotic Healing Regime. | Menni A, Moysidis M, Tzikos G, Stavrou G, Tsetis JK, Shrewsbury AD, Filidou E, Kotzampassi K. | Nutrients | 10.3390/nu15133055 | 2023 | ||
| Pathogenicity | Promysalin is a salicylate-containing antimicrobial with a cell-membrane-disrupting mechanism of action on Gram-positive bacteria. | Kaduskar RD, Scala GD, Al Jabri ZJH, Arioli S, Musso L, Oggioni MR, Dallavalle S, Mora D. | Sci Rep | 10.1038/s41598-017-07567-0 | 2017 | |
| Bacterial Lysate from the Multi-Strain Probiotic SLAB51 Triggers Adaptative Responses to Hypoxia in Human Caco-2 Intestinal Epithelial Cells under Normoxic Conditions and Attenuates LPS-Induced Inflammatory Response. | Lombardi F, Augello FR, Palumbo P, Bonfili L, Artone S, Altamura S, Sheldon JM, Latella G, Cifone MG, Eleuteri AM, Cinque B. | Int J Mol Sci | 10.3390/ijms24098134 | 2023 | ||
| Metabolism | Strategic Modification of Gut Microbiota through Oral Bacteriotherapy Influences Hypoxia Inducible Factor-1alpha: Therapeutic Implication in Alzheimer's Disease. | Bonfili L, Gong C, Lombardi F, Cifone MG, Eleuteri AM. | Int J Mol Sci | 10.3390/ijms23010357 | 2021 | |
| rBet v 1 immunotherapy of sensitized mice with Streptococcus thermophilus as vehicle and adjuvant. | Petrarca C, Clemente E, Toto V, Iezzi M, Rossi C, Zanotta S, Mistrello G, Zanoni I, Granucci F, Arioli S, Mora D, Guglielmetti S, Paganelli R, Di Gioacchino M. | Hum Vaccin Immunother | 10.4161/hv.28155 | 2014 | ||
| Enzymology | Screening and characterization of soil bacteria for lignin and textile dye effluent bioremediation and optimization using response surface methodology. | Milad S, Saleh SE, Aboulwafa MM, Hassouna NA. | Sci Rep | 10.1038/s41598-025-04789-5 | 2025 | |
| Human microbiome in post-acute COVID-19 syndrome (PACS). | Fallah A, Sedighian H, Kachuei R, Fooladi AAI. | Curr Res Microb Sci | 10.1016/j.crmicr.2024.100324 | 2025 | ||
| Pathogenicity | CRISPR spacers acquired from plasmids primarily target backbone genes, making them valuable for predicting potential hosts and host range. | Androsiuk L, Maane S, Tal S. | Microbiol Spectr | 10.1128/spectrum.00104-24 | 2024 | |
| Genetics | Genome Analysis and Physiological Characterization of Four Streptococcus thermophilus Strains Isolated From Chinese Traditional Fermented Milk. | Hu T, Cui Y, Zhang Y, Qu X, Zhao C. | Front Microbiol | 10.3389/fmicb.2020.00184 | 2020 | |
| Soluble Fraction from Lysate of a High Concentration Multi-Strain Probiotic Formulation Inhibits TGF-beta1-Induced Intestinal Fibrosis on CCD-18Co Cells. | Lombardi F, Augello FR, Palumbo P, Mollsi E, Giuliani M, Cimini AM, Cifone MG, Cinque B. | Nutrients | 10.3390/nu13030882 | 2021 | ||
| Pathogenicity | Probiotics Supplementation Attenuates Inflammation and Oxidative Stress Induced by Chronic Sleep Restriction. | Zheng Y, Zhang L, Bonfili L, de Vivo L, Eleuteri AM, Bellesi M. | Nutrients | 10.3390/nu15061518 | 2023 | |
| Oxygen Sparing Effect of Bacteriotherapy in COVID-19. | Ceccarelli G, Marazzato M, Celani L, Lombardi F, Piccirilli A, Mancone M, Trinchieri V, Pugliese F, Mastroianni CM, d'Ettorre G. | Nutrients | 10.3390/nu13082898 | 2021 | ||
| Phylogeny | Isolation of bacteria from artificial bronchoalveolar lavage fluid using density gradient centrifugation and their accessibility by Raman spectroscopy. | Wichmann C, Rosch P, Popp J. | Anal Bioanal Chem | 10.1007/s00216-021-03488-0 | 2021 | |
| Oral Bacteriotherapy in Patients With COVID-19: A Retrospective Cohort Study. | Ceccarelli G, Borrazzo C, Pinacchio C, Santinelli L, Innocenti GP, Cavallari EN, Celani L, Marazzato M, Alessandri F, Ruberto F, Pugliese F, Venditti M, Mastroianni CM, d'Ettorre G. | Front Nutr | 10.3389/fnut.2020.613928 | 2020 | ||
| Clinical effectiveness of adding probiotics to a low FODMAP diet: Randomized double-blind placebo-controlled study. | Turan B, Bengi G, Cehreli R, Akpinar H, Soyturk M. | World J Clin Cases | 10.12998/wjcc.v9.i25.7417 | 2021 | ||
| Factors Associated With Short-Term Eradication of Rectal Colonization by KPC-2 Producing Klebsiella pneumoniae in an Outbreak Setting. | Pellice M, Rodriguez-Nunez O, Rico V, Aguero D, Morata L, Cardozo C, Puerta-Alcalde P, Garcia-Vidal C, Rubio E, Fernandez-Pittol MJ, Vergara A, Pitart C, Marco F, Santana G, Rodriguez-Serna L, Vilella A, Lopez E, Soriano A, Martinez JA, Del Rio A. | Front Microbiol | 10.3389/fmicb.2021.630826 | 2021 | ||
| Phylogeny | Characterization of Silver Carbonate Nanoparticles Biosynthesized Using Marine Actinobacteria and Exploring of Their Antimicrobial and Antibiofilm Activity. | Messaoudi O, Benamar I, Azizi A, Albukhaty S, Khane Y, Sulaiman GM, Salem-Bekhit MM, Hamdi K, Ghoummid S, Zoukel A, Messahli I, Kerchich Y, Benaceur F, Salem MM, Bendahou M. | Mar Drugs | 10.3390/md21100536 | 2023 | |
| Impact of inulin and yeast containing synbiotic on calves' productivity and greenhouse gas production. | Jonova S, Ilgaza A, Zolovs M, Balins A. | Vet World | 10.14202/vetworld.2020.1017-1024 | 2020 | ||
| Potential Role of Probiotics for Inflammaging: A Narrative Review. | Jukic Peladic N, Dell'Aquila G, Carrieri B, Maggio M, Cherubini A, Orlandoni P. | Nutrients | 10.3390/nu13092919 | 2021 | ||
| Innovative Fermented Beverages Made with Red Rice, Barley, and Buckwheat. | Cardinali F, Osimani A, Milanovic V, Garofalo C, Aquilanti L. | Foods | 10.3390/foods10030613 | 2021 | ||
| Metabolism | Type I/II Interferon in HIV-1-Infected Patients: Expression in Gut Mucosa and in Peripheral Blood Mononuclear Cells and Its Modification upon Probiotic Supplementation. | Pinacchio C, Scheri GC, Statzu M, Santinelli L, Ceccarelli G, Innocenti GP, Vullo V, Antonelli G, Brenchley JM, d'Ettorre G, Scagnolari C. | J Immunol Res | 10.1155/2018/1738676 | 2018 | |
| Can Probiotics, Particularly Limosilactobacillus fermentum UCO-979C and Lacticaseibacillus rhamnosus UCO-25A, Be Preventive Alternatives against SARS-CoV-2? | Valdebenito-Navarrete H, Fuentes-Barrera V, Smith CT, Salas-Burgos A, Zuniga FA, Gomez LA, Garcia-Cancino A. | Biology (Basel) | 10.3390/biology12030384 | 2023 | ||
| The Effectiveness of Probiotics in the Treatment of Inflammatory Bowel Disease (IBD)-A Critical Review. | Jakubczyk D, Leszczynska K, Gorska S. | Nutrients | 10.3390/nu12071973 | 2020 | ||
| Quality of Life: Psychological Symptoms-Effects of a 2-Month Healthy Diet and Nutraceutical Intervention; A Randomized, Open-Label Intervention Trial (RISTOMED). | Bourdel-Marchasson I, Ostan R, Regueme SC, Pinto A, Pryen F, Charrouf Z, d'Alessio P, Baudron CR, Guerville F, Durrieu J, Donini LM, Franceschi C, Valentini L. | Nutrients | 10.3390/nu12030800 | 2020 | ||
| Metabolism | Aspartate biosynthesis is essential for the growth of Streptococcus thermophilus in milk, and aspartate availability modulates the level of urease activity. | Arioli S, Monnet C, Guglielmetti S, Parini C, De Noni I, Hogenboom J, Halami PM, Mora D. | Appl Environ Microbiol | 10.1128/aem.00533-07 | 2007 | |
| Effectiveness and Safety of a Probiotic-Mixture for the Treatment of Infantile Colic: A Double-Blind, Randomized, Placebo-Controlled Clinical Trial with Fecal Real-Time PCR and NMR-Based Metabolomics Analysis. | Baldassarre ME, Di Mauro A, Tafuri S, Rizzo V, Gallone MS, Mastromarino P, Capobianco D, Laghi L, Zhu C, Capozza M, Laforgia N. | Nutrients | 10.3390/nu10020195 | 2018 | ||
| The immune response modulated by inoculation of commensal bacteria at birth impacts the gut microbiota and prevents Salmonella colonization. | Kempf F, Drumo R, Chausse AM, Menanteau P, Kubasova T, Roche S, Lalmanach AC, Guabiraba R, Chaumeil T, Lariviere-Gauthier G, Caballero-Posadas I, Laroche B, Rychlik I, Virlogeux-Payant I, Velge P. | Gut Microbes | 10.1080/19490976.2025.2474151 | 2025 | ||
| Pathogenicity | The relationship between gut microbiota and COVID-19 progression: new insights into immunopathogenesis and treatment. | Wang M, Zhang Y, Li C, Chang W, Zhang L. | Front Immunol | 10.3389/fimmu.2023.1180336 | 2023 | |
| Enzymology | Evaluation of culture media for selective enumeration of bifidobacteria and lactic acid bacteria. | Sule J, Korosi T, Hucker A, Varga L. | Braz J Microbiol | 10.1590/s1517-83822014000300035 | 2014 | |
| Administration of a Multi-Strain Probiotic Product to Women in the Perinatal Period Differentially Affects the Breast Milk Cytokine Profile and May Have Beneficial Effects on Neonatal Gastrointestinal Functional Symptoms. A Randomized Clinical Trial. | Baldassarre ME, Di Mauro A, Mastromarino P, Fanelli M, Martinelli D, Urbano F, Capobianco D, Laforgia N. | Nutrients | 10.3390/nu8110677 | 2016 | ||
| Metabolism | Host-probiotic interaction: new insight into the role of the endocannabinoid system by in vivo and ex vivo approaches. | Gioacchini G, Rossi G, Carnevali O. | Sci Rep | 10.1038/s41598-017-01322-1 | 2017 | |
| Probiotic supplementation in trained trotter horses: effect on blood clinical pathology data and urine metabolomic assessed in field. | Laghi L, Zhu C, Campagna G, Rossi G, Bazzano M, Laus F. | J Appl Physiol (1985) | 10.1152/japplphysiol.01131.2017 | 2018 | ||
| Viral Abundance and Diversity of Production Fluids in Oil Reservoirs. | Zheng L, Liang X, Shi R, Li P, Zhao J, Li G, Wang S, Han S, Radosevich M, Zhang Y. | Microorganisms | 10.3390/microorganisms8091429 | 2020 | ||
| High potency multistrain probiotic improves liver histology in non-alcoholic fatty liver disease (NAFLD): a randomised, double-blind, proof of concept study. | Duseja A, Acharya SK, Mehta M, Chhabra S, Shalimar, Rana S, Das A, Dattagupta S, Dhiman RK, Chawla YK. | BMJ Open Gastroenterol | 10.1136/bmjgast-2019-000315 | 2019 | ||
| Pathogenicity | Proteolytic Degradation of reduced Human Beta Defensin 1 generates a Novel Antibiotic Octapeptide. | Wendler J, Schroeder BO, Ehmann D, Koeninger L, Mailander-Sanchez D, Lemberg C, Wanner S, Schaller M, Stange EF, Malek NP, Weidenmaier C, LeibundGut-Landmann S, Wehkamp J. | Sci Rep | 10.1038/s41598-019-40216-2 | 2019 | |
| Probiotics Differently Affect Gut-Associated Lymphoid Tissue Indolamine-2,3-Dioxygenase mRNA and Cerebrospinal Fluid Neopterin Levels in Antiretroviral-Treated HIV-1 Infected Patients: A Pilot Study. | Scagnolari C, Corano Scheri G, Selvaggi C, Schietroma I, Najafi Fard S, Mastrangelo A, Giustini N, Serafino S, Pinacchio C, Pavone P, Fanello G, Ceccarelli G, Vullo V, d'Ettorre G. | Int J Mol Sci | 10.3390/ijms17101639 | 2016 | ||
| Pathogenicity | A pilot study on the effects of probiotic supplementation on neuropsychological performance and microRNA-29a-c levels in antiretroviral-treated HIV-1-infected patients. | Ceccarelli G, Fratino M, Selvaggi C, Giustini N, Serafino S, Schietroma I, Corano Scheri G, Pavone P, Passavanti G, Alunni Fegatelli D, Mezzaroma I, Antonelli G, Vullo V, Scagnolari C, d'Ettorre G. | Brain Behav | 10.1002/brb3.756 | 2017 | |
| The Impact of Low-FODMAPs, Gluten-Free, and Ketogenic Diets on Gut Microbiota Modulation in Pathological Conditions. | Reddel S, Putignani L, Del Chierico F. | Nutrients | 10.3390/nu11020373 | 2019 | ||
| Genetics | Identification of the Biosynthetic Gene Cluster of Thermoactinoamides and Discovery of New Congeners by Integrated Genome Mining and MS-Based Molecular Networking. | Della Sala G, Mangoni A, Costantino V, Teta R. | Front Chem | 10.3389/fchem.2020.00397 | 2020 | |
| Kefir Supplementation Modifies Gut Microbiota Composition, Reduces Physical Fatigue, and Improves Exercise Performance in Mice. | Hsu YJ, Huang WC, Lin JS, Chen YM, Ho ST, Huang CC, Tung YT. | Nutrients | 10.3390/nu10070862 | 2018 | ||
| Impact of High-Dose Multi-Strain Probiotic Supplementation on Neurocognitive Performance and Central Nervous System Immune Activation of HIV-1 Infected Individuals. | Ceccarelli G, Brenchley JM, Cavallari EN, Scheri GC, Fratino M, Pinacchio C, Schietroma I, Fard SN, Scagnolari C, Mezzaroma I, Vullo V, d'Ettorre G. | Nutrients | 10.3390/nu9111269 | 2017 | ||
| Production Conditions Affect the In Vitro Anti-Tumoral Effects of a High Concentration Multi-Strain Probiotic Preparation. | Cinque B, La Torre C, Lombardi F, Palumbo P, Van der Rest M, Cifone MG. | PLoS One | 10.1371/journal.pone.0163216 | 2016 | ||
| Effect of probiotic treatment on the clinical course, intestinal microbiome, and toxigenic Clostridium perfringens in dogs with acute hemorrhagic diarrhea. | Ziese AL, Suchodolski JS, Hartmann K, Busch K, Anderson A, Sarwar F, Sindern N, Unterer S. | PLoS One | 10.1371/journal.pone.0204691 | 2018 | ||
| The Utilisation of Acrylamide by Selected Microorganisms Used for Fermentation of Food. | Petka K, Wajda L, Duda-Chodak A. | Toxics | 10.3390/toxics9110295 | 2021 | ||
| Effects of probiotics (Vivomixx®) in obese pregnant women and their newborn: study protocol for a randomized controlled trial. | Halkjaer SI, Nilas L, Carlsen EM, Cortes D, Halldorsson TI, Olsen SF, Pedersen AE, Krogfelt KA, Petersen AM. | Trials | 10.1186/s13063-016-1617-5 | 2016 | ||
| Formation and Characterization of Early Bacterial Biofilms on Different Wood Typologies Applied in Dairy Production. | Cruciata M, Gaglio R, Scatassa ML, Sala G, Cardamone C, Palmeri M, Moschetti G, La Mantia T, Settanni L. | Appl Environ Microbiol | 10.1128/aem.02107-17 | 2018 | ||
| Metabolism | A Review on Role of Microbiome in Obesity and Antiobesity Properties of Probiotic Supplements. | Sivamaruthi BS, Kesika P, Suganthy N, Chaiyasut C. | Biomed Res Int | 10.1155/2019/3291367 | 2019 | |
| The emerging role of probiotics as a mitigation strategy against coronavirus disease 2019 (COVID-19). | Mirzaei R, Attar A, Papizadeh S, Jeda AS, Hosseini-Fard SR, Hosseini-Fard SR, Jamasbi E, Kazemi S, Amerkani S, Talei GR, Moradi P, Jalalifar S, Yousefimashouf R, Hossain MA, Keyvani H, Karampoor S. | Arch Virol | 10.1007/s00705-021-05036-8 | 2021 | ||
| Pathogenicity | Manipulation of Gut Microbiota Influences Immune Responses, Axon Preservation, and Motor Disability in a Model of Progressive Multiple Sclerosis. | Mestre L, Carrillo-Salinas FJ, Mecha M, Feliu A, Espejo C, Alvarez-Cermeno JC, Villar LM, Guaza C. | Front Immunol | 10.3389/fimmu.2019.01374 | 2019 | |
| Autism Spectrum Disorders and the Gut Microbiota. | Fattorusso A, Di Genova L, Dell'Isola GB, Mencaroni E, Esposito S. | Nutrients | 10.3390/nu11030521 | 2019 | ||
| Randomized, controlled trial evaluating the effect of multi-strain probiotic on the mucosal microbiota in canine idiopathic inflammatory bowel disease. | White R, Atherly T, Guard B, Rossi G, Wang C, Mosher C, Webb C, Hill S, Ackermann M, Sciabarra P, Allenspach K, Suchodolski J, Jergens AE. | Gut Microbes | 10.1080/19490976.2017.1334754 | 2017 | ||
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| Enhancement of disease resistance, growth potential, and photosynthesis in tomato (Solanum lycopersicum) by inoculation with an endophytic actinobacterium, Streptomyces thermocarboxydus strain BPSAC147. | Passari AK, Upadhyaya K, Singh G, Abdel-Azeem AM, Thankappan S, Uthandi S, Hashem A, Abd Allah EF, Malik JA, As A, Gupta VK, Ranjan S, Singh BP. | PLoS One | 10.1371/journal.pone.0219014 | 2019 | ||
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| Gut microbiota and old age: Modulating factors and interventions for healthy longevity. | Coman V, Vodnar DC. | Exp Gerontol | 10.1016/j.exger.2020.111095 | 2020 | ||
| Pathogenicity | Synergistic effect of membrane-active peptides polymyxin B and gramicidin S on multidrug-resistant strains and biofilms of Pseudomonas aeruginosa. | Berditsch M, Jager T, Strempel N, Schwartz T, Overhage J, Ulrich AS. | Antimicrob Agents Chemother | 10.1128/aac.00682-15 | 2015 | |
| A novel real-time PCR assay for specific detection and quantification of Mycobacterium avium subsp. paratuberculosis in milk with the inherent possibility of differentiation between viable and dead cells. | Dzieciol M, Volgger P, Khol J, Baumgartner W, Wagner M, Hein I. | BMC Res Notes | 10.1186/1756-0500-3-251 | 2010 | ||
| Phenotype | Gut to brain interaction in Autism Spectrum Disorders: a randomized controlled trial on the role of probiotics on clinical, biochemical and neurophysiological parameters. | Santocchi E, Guiducci L, Fulceri F, Billeci L, Buzzigoli E, Apicella F, Calderoni S, Grossi E, Morales MA, Muratori F. | BMC Psychiatry | 10.1186/s12888-016-0887-5 | 2016 | |
| Early-Life Immune System Maturation in Chickens Using a Synthetic Community of Cultured Gut Bacteria. | Zenner C, Hitch TCA, Riedel T, Wortmann E, Tiede S, Buhl EM, Abt B, Neuhaus K, Velge P, Overmann J, Kaspers B, Clavel T. | mSystems | 10.1128/msystems.01300-20 | 2021 | ||
| A persistent and diverse airway microbiota present during chronic obstructive pulmonary disease exacerbations. | Huang YJ, Kim E, Cox MJ, Brodie EL, Brown R, Wiener-Kronish JP, Lynch SV. | OMICS | 10.1089/omi.2009.0100 | 2010 | ||
| Construction and optimization of a nisin-controlled expression vector using a pre-screened strong promoter in Streptococcus thermophilus. | Ye Y, Zhao R, Li L, Li Z, Chen Y, Xu Z. | Front Microbiol | 10.3389/fmicb.2025.1586348 | 2025 | ||
| The impact of Streptococcus thermophilus IDCC 2201 on gut microbiota and its potential as a prophylactic agent for colorectal cancer. | Nam EH, Lee M, Kim H, Kim D, Lee Y, Jung YH, Yang J, Shin M. | Sci Rep | 10.1038/s41598-025-20976-w | 2025 | ||
| Thermophilin 13: In Silico Analysis Provides New Insight in Genes Involved in Bacteriocin Production. | Salini F, Iacumin L, Comi G, Dicks LMT. | Microorganisms | 10.3390/microorganisms11030611 | 2023 | ||
| New Genetic Determinants for qPCR Identification and the Enumeration of Selected Lactic Acid Bacteria in Raw-Milk Cheese. | Stachelska MA, Ekielski A, Karpinski P, Zelazinski T, Kruszewski B. | Molecules | 10.3390/molecules29071533 | 2024 | ||
| Synergistic antibacterial effects of postbiotics combined with linezolid and amikacin against nosocomial pathogens. | Yaprak Colak E, Duran N. | Front Cell Infect Microbiol | 10.3389/fcimb.2025.1616501 | 2025 | ||
| Emerging Roles of the Gut Microbiome in Musculoskeletal Injury and Repair. | Roberts JL, Park CC. | Microorganisms | 10.3390/microorganisms13092193 | 2025 | ||
| PMA-qPCR method for the selective quantitation of viable lactic acid bacteria in fermented milk. | Shi Z, Li X, Fan X, Xu J, Liu Q, Wu Z, Pan D. | Front Microbiol | 10.3389/fmicb.2022.984506 | 2022 | ||
| Pathogenicity | Exploring the Potential of Novel Animal-Origin Probiotics as Key Players in One Health: Opportunities and Challenges. | Gorzelanna Z, Mamrot A, Bedkowska D, Bubak J, Miszczak M. | Int J Mol Sci | 10.3390/ijms26115143 | 2025 | |
| Developing Bioactive Hydrogels with Peptides for Dental Application. | Muntean A, Sarosi C, Petean I, Cuc S, Carpa R, Chis IA, Ilea A, Delean AG, Moldovan M. | Biomedicines | 10.3390/biomedicines12030694 | 2024 | ||
| Development of optimized functional clove fortified probiotic yoghurt. | Saleena LAK, Song AA, Yusof YA, In LLA, Lin NK, Pui LP. | J Food Sci Technol | 10.1007/s13197-023-05904-y | 2024 | ||
| Gene expression dynamics in Bacillus cereus and Bacillus subtilis treated with Thymus vulgaris and Origanum vulgare subsp. hirtum essential oils. | Anniballi F, Purgatorio C, Serio A, Scalfaro C, Taglieri S, Paparella A. | Front Microbiol | 10.3389/fmicb.2025.1643608 | 2025 | ||
| A novel SUCNR1 inhibitor alleviates dysbiosis through inhibition of host responses without direct interaction with host microbiota. | Thomas SC, Guo Y, Xu F, Saxena D, Li X. | Mol Oral Microbiol | 10.1111/omi.12431 | 2024 | ||
| Antimicrobial activities of Asian plant extracts against pathogenic and spoilage bacteria. | Han A, Hwang JH, Lee SY. | Food Sci Biotechnol | 10.1007/s10068-022-01182-0 | 2023 | ||
| Quantitative real-time PCR analysis of bacterial biomarkers enable fast and accurate monitoring in inflammatory bowel disease. | Sezgin E, Terlemez G, Bozkurt B, Bengi G, Akpinar H, Buyuktorun I. | PeerJ | 10.7717/peerj.14217 | 2022 | ||
| Biotechnology | Genome-Scale Metabolic Modeling Combined with Transcriptome Profiling Provides Mechanistic Understanding of Streptococcus thermophilus CH8 Metabolism. | Rau MH, Gaspar P, Jensen ML, Geppel A, Neves AR, Zeidan AA. | Appl Environ Microbiol | 10.1128/aem.00780-22 | 2022 | |
| An overview of probiotic camel milk as a nutritional beverage: Challenges and perspectives. | Ansari F, Pourjafar H, Samakkhah SA, Mirzakhani E. | Food Sci Nutr | 10.1002/fsn3.4298 | 2024 | ||
| In Vivo Functional Properties of Dairy Bacteria. | Aprea G, Del Matto I, Tucci P, Marino L, Scattolini S, Rossi F. | Microorganisms | 10.3390/microorganisms11071787 | 2023 | ||
| Unveiling the Potential Ways to Apply Citrus Oil to Control Causative Agents of Pullorum Disease and Fowl Typhoid in Floor Materials. | Julianingsih D, Tung CW, Thapa K, Biswas D. | Animals (Basel) | 10.3390/ani14010023 | 2023 | ||
| Changes in Cell Membrane Fatty Acid Composition of Streptococcus thermophilus in Response to Gradually Increasing Heat Temperature. | Min B, Kim K, Li V, Cho S, Kim H. | J Microbiol Biotechnol | 10.4014/jmb.1912.12053 | 2020 | ||
| Genetics | The genomic basis of the Streptococcus thermophilus health-promoting properties. | Roux E, Nicolas A, Valence F, Siekaniec G, Chuat V, Nicolas J, Le Loir Y, Guedon E. | BMC Genomics | 10.1186/s12864-022-08459-y | 2022 | |
| Assessing probiotic viability in mixed species yogurt using a novel propidium monoazide (PMAxx)-quantitative PCR method. | Marole TA, Sibanda T, Buys EM. | Front Microbiol | 10.3389/fmicb.2024.1325268 | 2024 | ||
| Enzyme-treated chicory for cosmetics: application assessment and techno-economic analysis. | Hakkinen ST, Cankar K, Nohynek L, Suomalainen M, van Arkel J, Siika-Aho M, Twarogowska A, Van Droogenbroeck B, Oksman-Caldentey KM. | AMB Express | 10.1186/s13568-022-01494-8 | 2022 | ||
| Pneumatically Driven Microfluidic Platform and Fully Automated Particle Concentration System for the Capture and Enrichment of Pathogens. | Choi HJ, Ahn G, Yu US, Kim EJ, Ahn JY, Chan Jeong O. | ACS Omega | 10.1021/acsomega.3c02264 | 2023 | ||
| Pathogenicity | Probiotics Modulate Host Immune Response and Interact with the Gut Microbiota: Shaping Their Composition and Mediating Antibiotic Resistance. | Mousa WK, Mousa S, Ghemrawi R, Obaid D, Sarfraz M, Chehadeh F, Husband S. | Int J Mol Sci | 10.3390/ijms241813783 | 2023 | |
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| Metabolism | Oxygen uptake activity and aerobic metabolism of Streptococcus thermophilus STH450. | Teraguchi S, Ono J, Kiyosawa I, Okonogi S | J Dairy Sci | 10.3168/jds.S0022-0302(87)80036-X | 1987 | |
| Phylogeny | Aspromonas composti gen. nov., sp. nov., a novel member of the family Xanthomonadaceae. | Jin L, Kim KK, Im WT, Yang HC, Lee ST. | Int J Syst Evol Microbiol | 10.1099/ijs.0.64472-0 | 2007 | |
| Phylogeny | Streptococcus raffinosi sp. nov., isolated from human breast milk samples. | Nguyen HV, Trinh ATV, Bui LNH, Hoang ATL, Tran QTL, Trinh TT. | Int J Syst Evol Microbiol | 10.1099/ijsem.0.006442 | 2024 |
| #8965 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20617 |
| #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 ) |
| #20218 | Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 ) |
| #41772 | ; Curators of the CIP; |
| #47525 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 21957 |
| #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) . |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #68370 | Automatically annotated from API 20STR . |
| #68371 | Automatically annotated from API 50CH acid . |
| #68381 | Automatically annotated from API rID32STR . |
| #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 . |
| #123510 | Collection of Institut Pasteur ; Curators of the CIP; CIP 102303 |
| #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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BacDive in 2025: the core database for prokaryotic strain data