Bifidobacterium scardovii DSM 13734 is an anaerobe bacterium that was isolated from human blood.
anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Actinomycetota |
| Class Actinomycetes |
| Order Bifidobacteriales |
| Family Bifidobacteriaceae |
| Genus Bifidobacterium |
| Species Bifidobacterium scardovii |
| Full scientific name Bifidobacterium scardovii Hoyles et al. 2002 |
| BacDive ID | Other strains from Bifidobacterium scardovii (6) | Type strain |
|---|---|---|
| 145751 | B. scardovii CCUG 29475 | |
| 149098 | B. scardovii CCUG 36852 | |
| 150378 | B. scardovii CCUG 39775 | |
| 151567 | B. scardovii CCUG 44350 | |
| 154841 | B. scardovii CCUG 55376 | |
| 173604 | B. scardovii CIMB 04-8881, CRBIP17.33 |
| @ref | Motility | Confidence | |
|---|---|---|---|
| 125438 | 91.5 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 5133 | BIFIDOBACTERIUM MEDIUM (DSMZ Medium 58) | Medium recipe at MediaDive | Name: BIFIDOBACTERIUM MEDIUM (DSMZ Medium 58) Composition: Glucose 10.0 g/l Casein peptone 10.0 g/l Bacto Soytone 5.0 g/l Meat extract 5.0 g/l Yeast extract 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l MnSO4 x H2O 0.05 g/l KH2PO4 0.04 g/l K2HPO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Tween 80 Resazurin Distilled water |
| 5133 | Oxygen toleranceanaerobe |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 97.9 |
| @ref | Murein short key | Type | |
|---|---|---|---|
| 5133 | A11.20 | A3alpha L-Lys-L-Ser-L-Ala2 |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68371 | 27613 ChEBI | amygdalin | + | builds acid from | from API 50CH acid |
| 68371 | 18305 ChEBI | arbutin | + | builds acid from | from API 50CH acid |
| 68371 | 17057 ChEBI | cellobiose | + | builds acid from | from API 50CH acid |
| 68371 | 17108 ChEBI | D-arabinose | - | builds acid from | from API 50CH acid |
| 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 |
| 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 |
| 68371 | 65327 ChEBI | D-xylose | + | builds acid from | from API 50CH acid |
| 68371 | 17113 ChEBI | erythritol | - | builds acid from | from API 50CH acid |
| 68371 | 4853 ChEBI | esculin | + | builds acid from | from API 50CH acid |
| 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 |
| 68371 | 28087 ChEBI | glycogen | - | builds acid from | from API 50CH acid |
| 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 |
| 68371 | 17716 ChEBI | lactose | + | builds acid from | from API 50CH acid |
| 68371 | 17306 ChEBI | maltose | + | builds acid from | from API 50CH acid |
| 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 |
| 68371 | 17268 ChEBI | myo-inositol | - | builds acid from | from API 50CH acid |
| 68371 | 59640 ChEBI | N-acetylglucosamine | - | builds acid from | from API 50CH acid |
| 68371 | Potassium 2-ketogluconate | - | builds acid from | from API 50CH acid | |
| 68371 | 16634 ChEBI | raffinose | + | builds acid from | from API 50CH acid |
| 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 |
| 68371 | 17992 ChEBI | sucrose | + | builds acid from | from API 50CH acid |
| 68371 | 27082 ChEBI | trehalose | + | builds acid from | from API 50CH acid |
| 68371 | 32528 ChEBI | turanose | + | builds acid from | from API 50CH acid |
| 68371 | 17151 ChEBI | xylitol | - | builds acid from | from API 50CH acid |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | vitamin B1 metabolism | 100 | 13 of 13 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | starch degradation | 100 | 10 of 10 | ||
| 66794 | acetoin degradation | 100 | 3 of 3 | ||
| 66794 | peptidoglycan biosynthesis | 93.33 | 14 of 15 | ||
| 66794 | pentose phosphate pathway | 90.91 | 10 of 11 | ||
| 66794 | threonine metabolism | 90 | 9 of 10 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | palmitate biosynthesis | 86.36 | 19 of 22 | ||
| 66794 | photosynthesis | 85.71 | 12 of 14 | ||
| 66794 | glycogen metabolism | 80 | 4 of 5 | ||
| 66794 | cellulose degradation | 80 | 4 of 5 | ||
| 66794 | Entner Doudoroff pathway | 80 | 8 of 10 | ||
| 66794 | NAD metabolism | 77.78 | 14 of 18 | ||
| 66794 | valine metabolism | 77.78 | 7 of 9 | ||
| 66794 | sulfopterin metabolism | 75 | 3 of 4 | ||
| 66794 | C4 and CAM-carbon fixation | 75 | 6 of 8 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | isoleucine metabolism | 75 | 6 of 8 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | phenylalanine metabolism | 69.23 | 9 of 13 | ||
| 66794 | oxidative phosphorylation | 67.03 | 61 of 91 | ||
| 66794 | serine metabolism | 66.67 | 6 of 9 | ||
| 66794 | glycolate and glyoxylate degradation | 66.67 | 4 of 6 | ||
| 66794 | aspartate and asparagine metabolism | 66.67 | 6 of 9 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | CO2 fixation in Crenarchaeota | 66.67 | 6 of 9 | ||
| 66794 | purine metabolism | 65.96 | 62 of 94 | ||
| 66794 | degradation of pentoses | 64.29 | 18 of 28 | ||
| 66794 | d-xylose degradation | 63.64 | 7 of 11 | ||
| 66794 | ketogluconate metabolism | 62.5 | 5 of 8 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | gluconeogenesis | 62.5 | 5 of 8 | ||
| 66794 | degradation of sugar alcohols | 62.5 | 10 of 16 | ||
| 66794 | methionine metabolism | 61.54 | 16 of 26 | ||
| 66794 | glutamate and glutamine metabolism | 60.71 | 17 of 28 | ||
| 66794 | metabolism of amino sugars and derivatives | 60 | 3 of 5 | ||
| 66794 | methylglyoxal degradation | 60 | 3 of 5 | ||
| 66794 | lipoate biosynthesis | 60 | 3 of 5 | ||
| 66794 | glycolysis | 58.82 | 10 of 17 | ||
| 66794 | pyrimidine metabolism | 57.78 | 26 of 45 | ||
| 66794 | propanol degradation | 57.14 | 4 of 7 | ||
| 66794 | degradation of hexoses | 55.56 | 10 of 18 | ||
| 66794 | d-mannose degradation | 55.56 | 5 of 9 | ||
| 66794 | tryptophan metabolism | 55.26 | 21 of 38 | ||
| 66794 | histidine metabolism | 55.17 | 16 of 29 | ||
| 66794 | metabolism of disaccharids | 54.55 | 6 of 11 | ||
| 66794 | leucine metabolism | 53.85 | 7 of 13 | ||
| 66794 | mannosylglycerate biosynthesis | 50 | 1 of 2 | ||
| 66794 | dTDPLrhamnose biosynthesis | 50 | 4 of 8 | ||
| 66794 | tetrahydrofolate metabolism | 50 | 7 of 14 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | coenzyme A metabolism | 50 | 2 of 4 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | cis-vaccenate biosynthesis | 50 | 1 of 2 | ||
| 66794 | ribulose monophosphate pathway | 50 | 1 of 2 | ||
| 66794 | butanoate fermentation | 50 | 2 of 4 | ||
| 66794 | citric acid cycle | 50 | 7 of 14 | ||
| 66794 | glutathione metabolism | 50 | 7 of 14 | ||
| 66794 | cysteine metabolism | 50 | 9 of 18 | ||
| 66794 | alanine metabolism | 48.28 | 14 of 29 | ||
| 66794 | arginine metabolism | 45.83 | 11 of 24 | ||
| 66794 | proline metabolism | 45.45 | 5 of 11 | ||
| 66794 | lipid metabolism | 45.16 | 14 of 31 | ||
| 66794 | degradation of sugar acids | 44 | 11 of 25 | ||
| 66794 | reductive acetyl coenzyme A pathway | 42.86 | 3 of 7 | ||
| 66794 | lysine metabolism | 42.86 | 18 of 42 | ||
| 66794 | tyrosine metabolism | 42.86 | 6 of 14 | ||
| 66794 | glycine metabolism | 40 | 4 of 10 | ||
| 66794 | flavin biosynthesis | 40 | 6 of 15 | ||
| 66794 | vitamin K metabolism | 40 | 2 of 5 | ||
| 66794 | non-pathway related | 39.47 | 15 of 38 | ||
| 66794 | isoprenoid biosynthesis | 38.46 | 10 of 26 | ||
| 66794 | urea cycle | 38.46 | 5 of 13 | ||
| 66794 | vitamin B6 metabolism | 36.36 | 4 of 11 | ||
| 66794 | ascorbate metabolism | 36.36 | 8 of 22 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | octane oxidation | 33.33 | 1 of 3 | ||
| 66794 | cyanate degradation | 33.33 | 1 of 3 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 33.33 | 4 of 12 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | molybdenum cofactor biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | selenocysteine biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | lipid A biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | sulfoquinovose degradation | 33.33 | 1 of 3 | ||
| 66794 | polyamine pathway | 30.43 | 7 of 23 | ||
| 66794 | propionate fermentation | 30 | 3 of 10 | ||
| 66794 | benzoyl-CoA degradation | 28.57 | 2 of 7 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | CMP-KDO biosynthesis | 25 | 1 of 4 | ||
| 66794 | carnitine metabolism | 25 | 2 of 8 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | phenylpropanoid biosynthesis | 23.08 | 3 of 13 | ||
| 66794 | sulfate reduction | 23.08 | 3 of 13 | ||
| 66794 | nitrate assimilation | 22.22 | 2 of 9 | ||
| 66794 | 4-hydroxymandelate degradation | 22.22 | 2 of 9 |
| Metadata FA analysis | ||||||||||||||||||||||||||||||||||||||||||||||
| type of FA analysis | whole cell analysis | |||||||||||||||||||||||||||||||||||||||||||||
| method/protocol | CCUG | |||||||||||||||||||||||||||||||||||||||||||||
| @ref | 45872 | |||||||||||||||||||||||||||||||||||||||||||||
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| @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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 5133 | - | - | - | - | + | + | + | - | - | - | + | + | + | + | - | - | - | - | - | - | - | - | - | + | + | + | + | + | + | + | + | + | + | - | + | + | + | - | - | + | + | + | - | - | - | - | - | + | - | +/- |
Global distribution of 16S sequence LC383820 (>99% sequence identity) for Bifidobacterium scardovii subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM104263v1 assembly for Bifidobacterium scardovii JCM 12489 = DSM 13734 | complete | 1150461 | 97.48 | ||||
| 67770 | Bifsca assembly for Bifidobacterium scardovii LMG 21589 | contig | 158787 | 71.08 | ||||
| 67770 | ASM100506v1 assembly for Bifidobacterium scardovii JCM 12489 = DSM 13734 | contig | 1150461 | 66.76 | ||||
| 67770 | DSM-13734 assembly for Bifidobacterium scardovii JCM 12489 = DSM 13734 | contig | 1150461 | 50.34 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | Bifidobacterium scardovii partial 16S rRNA gene, strain CCUG 13008 | AJ307005 | 1380 | 1150461 | ||
| 20218 | Bifidobacterium scardovii gene for 16S rRNA, partial sequence, strain: JCM 12489 | AB507155 | 642 | 1150461 | ||
| 67770 | Bifidobacterium scardovii gene for 16S ribosomal RNA, partial sequence | AB437363 | 1506 | 158787 | ||
| 67770 | Bifidobacterium scardovii JCM 12489 = DSM 13734 gene for 16S ribosomal RNA, partial sequence | LC383820 | 1472 | 1150461 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 67770 | 60.1 | high performance liquid chromatography (HPLC) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 89.70 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 76.80 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 75.40 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 97.90 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 88.04 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 69.83 | yes |
| 125438 | aerobic | aerobicⓘ | no | 84.17 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 89.51 | no |
| 125438 | thermophilic | thermophileⓘ | no | 92.50 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 91.50 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Metabolism | Diversity, ecology and intestinal function of bifidobacteria. | Bottacini F, Ventura M, van Sinderen D, O'Connell Motherway M. | Microb Cell Fact | 10.1186/1475-2859-13-s1-s4 | 2014 | |
| Enzymology | Identification and characterization of a 20beta-HSDH from the anaerobic gut bacterium Butyricicoccus desmolans ATCC 43058. | Devendran S, Mendez-Garcia C, Ridlon JM. | J Lipid Res | 10.1194/jlr.m074914 | 2017 | |
| Enzymology | Microbial Hydroxysteroid Dehydrogenases: From Alpha to Omega. | Doden HL, Ridlon JM. | Microorganisms | 10.3390/microorganisms9030469 | 2021 | |
| Dysbiosis involving methionine and PPAR-gamma pathways is associated with early onset atopic dermatitis and food allergy. | Senavonge A, Nakphaichit M, Vongsangnak W, Roytrakul S, Patumcharoenpol P, Kingkaw A, Wongoutong C, Weerapakorn W, Pornputtapong N, La-Ongkham O, Poovorawan Y, Wanlapakorn N, Kittipongpattana P, Nitisinprasert S, Chatchatee P, Suratannon N. | Asian Pac J Allergy Immunol | 10.12932/ap-131223-1749 | 2025 | ||
| Genetics | Integrative genomic reconstruction reveals heterogeneity in carbohydrate utilization across human gut bifidobacteria. | Arzamasov AA, Rodionov DA, Hibberd MC, Guruge JL, Kent JE, Kazanov MD, Leyn SA, Elane ML, Sejane K, Furst A, Bode L, Barratt MJ, Gordon JI, Osterman AL. | Nat Microbiol | 10.1038/s41564-025-02056-x | 2025 | |
| "Breast abscess in a male patient due to Finegoldia magna and Bifidobacterium scardovii: An unusual entity". | Sunil Krishna M, Shenoy PA, Priyanka KS, Vishwanath S. | Anaerobe | 10.1016/j.anaerobe.2022.102536 | 2022 | ||
| Genetics | Unraveling gut microbiome alterations and metabolic signatures in hereditary transthyretin amyloidosis. | Li H, Wang Z, He S, Zhao X, Wu Q, Sun Y, Fan Y, Hu X, Tian Z, Zhang S. | Microbiol Spectr | 10.1128/spectrum.02302-24 | 2025 | |
| Genetics | Complete genome of Vibrio japonicus strain JCM 31412 T and assessment of the Nereis clade of the genus Vibrio. | Shlafstein MD, Emsley SA, Loughran RM, O'Hanlon SM, Ushijima B, Videau P, Saw JH. | Antonie Van Leeuwenhoek | 10.1007/s10482-022-01784-y | 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 | Complete genome sequences of Bifidobacterium faecale strain JCM19861T, isolated from human feces. | Okuhama S, Takahashi H, Nakayama Y, Ogata Y, Suda W. | Microbiol Resour Announc | 10.1128/mra.00784-23 | 2024 | |
| Genetics | Complete genome sequences of Ruminococcus torques strains JCM 36208 and JCM 36209, isolated from the feces of a healthy Japanese male. | Hisatomi A, Tourlousse DM, Hamajima M, Ohkuma M, Sekiguchi Y, Sakamoto M. | Microbiol Resour Announc | 10.1128/mra.00632-23 | 2023 | |
| Optimisation of Laccase Activity From Bacillus atrophaeus Using Response Surface Methodology: A Proof-Of-Concept Dye Decolourisation Study. | Kocak K, Altin Yavuz A, Berberler S, Filik Iscen C. | Environ Microbiol Rep | 10.1111/1758-2229.70138 | 2025 | ||
| [Bifidobacterium scardovii isolated from 2 consecutive urine samples]. | Guevara Nunez D, De Paulis AN, Bertona E, Gutierrez MA, Vay CA, Suarez JP, Predari SC. | Rev Argent Microbiol | 10.1016/j.ram.2017.04.004 | 2017 | ||
| Characterization of the ruminal microbiota in sheep and goats fed different levels of tannin-rich Sericea lespedeza hay. | Min BR, Wang W, Pitta DW, Indugu N, Patra AK, Wang HH, Abrahamsen F, Hilaire M, Puchala R. | J Anim Sci | 10.1093/jas/skae198 | 2024 | ||
| Metabolism | Analysis of polyamine biosynthetic- and transport ability of human indigenous Bifidobacterium. | Sugiyama Y, Nara M, Sakanaka M, Kitakata A, Okuda S, Kurihara S. | Biosci Biotechnol Biochem | 10.1080/09168451.2018.1475211 | 2018 | |
| Community metabolic modeling of host-microbiota interactions through multi-objective optimization. | Lambert A, Budinich M, Mahe M, Chaffron S, Eveillard D. | iScience | 10.1016/j.isci.2024.110092 | 2024 | ||
| Health benefits, antimicrobial activities, and potential applications of probiotics: A review. | Sepehr A, Miri ST, Aghamohammad S, Rahimirad N, Milani M, Pourshafie MR, Rohani M. | Medicine (Baltimore) | 10.1097/md.0000000000032412 | 2024 | ||
| Pathogenicity | Antimicrobial susceptibility of clinical isolates of Actinomyces and related genera reveals an unusual clindamycin resistance among Actinomyces urogenitalis strains. | Barberis C, Budia M, Palombarani S, Rodriguez CH, Ramirez MS, Arias B, Bonofiglio L, Famiglietti A, Mollerach M, Almuzara M, Vay C. | J Glob Antimicrob Resist | 10.1016/j.jgar.2016.11.007 | 2017 | |
| Enzymology | Characterization of a thermostable protease from Bacillus subtilis BSP strain. | Majeed T, Lee CC, Orts WJ, Tabassum R, Shah TA, Jardan YAB, Dawoud TM, Bourhia M. | BMC Biotechnol | 10.1186/s12896-024-00870-5 | 2024 | |
| Endometrial microbiota profile in in-vitro fertilization (IVF) patients by culturomics-based analysis. | Cariati F, Carotenuto C, Bagnulo F, Pacella D, Marrone V, Paolillo R, Catania MR, Di Girolamo R, Conforti A, Strina I, Alviggi C. | Front Endocrinol (Lausanne) | 10.3389/fendo.2023.1204729 | 2023 | ||
| Isolation and Characterization of Two New Deoxynivalenol-Degrading Strains, Bacillus sp. HN117 and Bacillus sp. N22. | Li B, Duan J, Ren J, Francis F, Li G. | Toxins (Basel) | 10.3390/toxins14110781 | 2022 | ||
| Pathogenicity | Saponin treatment for eukaryotic DNA depletion alters the microbial DNA profiles by reducing the abundance of Gram-negative bacteria in metagenomics analyses | Longhi G, Argentini C, Fontana F, Tarracchini C, Mancabelli L, Lugli G, Alessandri G, Lahner E, Pivetta G, Turroni F, Ventura M, Milani C. | Microbiome Res Rep | 2023 | ||
| Genetics | dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation. | Huang L, Zhang H, Wu P, Entwistle S, Li X, Yohe T, Yi H, Yang Z, Yin Y. | Nucleic Acids Res | 10.1093/nar/gkx894 | 2018 | |
| Genetics | Milk glycan metabolism by intestinal bifidobacteria: insights from comparative genomics. | Arzamasov AA, Osterman AL. | Crit Rev Biochem Mol Biol | 10.1080/10409238.2023.2182272 | 2022 | |
| Cross-feeding interactions between human gut commensals belonging to the Bacteroides and Bifidobacterium genera when grown on dietary glycans. | Fernandez-Julia P, Commane DM, van Sinderen D, Munoz-Munoz J. | Microbiome Res Rep | 10.20517/mrr.2021.05 | 2022 | ||
| Phylogeny | Recurrent urinary infection with Bifidobacterium scardovii. | Barberis CM, Cittadini RM, Almuzara MN, Feinsilberg A, Famiglietti AM, Ramirez MS, Vay CA. | J Clin Microbiol | 10.1128/jcm.06027-11 | 2012 | |
| Draft Genome Sequences of Methanoculleus horonobensis Strain JCM 15517, Methanoculleus thermophilus Strain DSM 2373, and Methanofollis ethanolicus Strain JCM 15103, Hydrogenotrophic Methanogens Belonging to the Family Methanomicrobiaceae. | Narihiro T, Kusada H, Yoneda Y, Tamaki H. | Genome Announc | 10.1128/genomea.00199-16 | 2016 | ||
| Clinical Significance of Composition and Functional Diversity of the Vaginal Microbiome in Recurrent Vaginitis. | Kim MJ, Lee S, Kwon MY, Kim M. | Front Microbiol | 10.3389/fmicb.2022.851670 | 2022 | ||
| Improved antioxidant capacity of three Brassica vegetables by two-step controlled fermentation using isolated autochthone strains of the genus Leuconostoc spp. and Lactiplantibacillus spp. | Parada RB, Marguet E, Campos C, Vallejo M. | Food Chem (Oxf) | 10.1016/j.fochms.2023.100163 | 2023 | ||
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| #5133 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 13734 |
| #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 ) |
| #45872 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 13008 A |
| #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; |
| #68371 | Automatically annotated from API 50CH acid . |
| #69479 | João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta . |
| #125438 | Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann: Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets. 2024 ( DOI 10.1101/2024.08.12.607695 ) |
| #125439 | Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardy: deepG: Deep Learning for Genome Sequence Data. R package version 0.3.1 . |
| #126262 | A. Lissin, I. Schober, J. F. Witte, H. Lüken, A. Podstawka, J. Koblitz, B. Bunk, P. Dawyndt, P. Vandamme, P. de Vos, J. Overmann, L. C. Reimer: StrainInfo—the central database for linked microbial strain identifiers. ( DOI 10.1093/database/baaf059 ) |
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