Bacteroides acidifaciens A40 is an anaerobe, mesophilic prokaryote that was isolated from caecal content; wildtype C57BL/6 mouse.
anaerobe mesophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Pseudomonadati |
| Phylum Bacteroidota |
| Class Bacteroidia |
| Order Bacteroidales |
| Family Bacteroidaceae |
| Genus Bacteroides |
| Species Bacteroides acidifaciens |
| Full scientific name Bacteroides acidifaciens Miyamoto and Itoh 2000 |
| BacDive ID | Other strains from Bacteroides acidifaciens (2) | Type strain |
|---|---|---|
| 131098 | B. acidifaciens JJM0207_2, DSM 100502 | |
| 175101 | B. acidifaciens CLA-AP-2, DSM 111135 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 6174 | CHOPPED MEAT MEDIUM (DSMZ Medium 78) | Medium recipe at MediaDive | Name: CHOPPED MEAT MEDIUM (DSMZ Medium 78) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Agar 15.0 g/l Ethanol 9.5 g/l (optional) K2HPO4 5.0 g/l Yeast extract 5.0 g/l L-Cysteine HCl 0.5 g/l Haemin 0.005 g/l (optional) Resazurin 0.001 g/l Vitamin K3 0.0005 g/l (optional) Vitamin K1 (optional) NaOH (optional) Distilled water | ||
| 6174 | 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 |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68380 | 29016 ChEBI | arginine | - | hydrolysis | from API rID32A |
| 68380 | 29985 ChEBI | L-glutamate | - | degradation | from API rID32A |
| 68380 | 17632 ChEBI | nitrate | - | reduction | from API rID32A |
| 68380 | 16199 ChEBI | urea | - | hydrolysis | from API rID32A |
| @ref | Value | Activity | Ec | |
|---|---|---|---|---|
| 68380 | alanine arylamidase | + | 3.4.11.2 | from API rID32A |
| 68380 | alkaline phosphatase | + | 3.1.3.1 | from API rID32A |
| 68380 | alpha-arabinosidase | + | 3.2.1.55 | from API rID32A |
| 68380 | alpha-fucosidase | + | 3.2.1.51 | from API rID32A |
| 68380 | alpha-galactosidase | + | 3.2.1.22 | from API rID32A |
| 68380 | alpha-glucosidase | + | 3.2.1.20 | from API rID32A |
| 68380 | arginine dihydrolase | - | 3.5.3.6 | from API rID32A |
| 68380 | beta-galactosidase | + | 3.2.1.23 | from API rID32A |
| 68380 | beta-Galactosidase 6-phosphate | - | from API rID32A | |
| 68380 | beta-glucuronidase | - | 3.2.1.31 | from API rID32A |
| 68380 | glutamate decarboxylase | - | 4.1.1.15 | from API rID32A |
| 68380 | glycin arylamidase | - | from API rID32A | |
| 68380 | histidine arylamidase | - | from API rID32A | |
| 68380 | leucine arylamidase | + | 3.4.11.1 | from API rID32A |
| 68380 | leucyl glycin arylamidase | + | 3.4.11.1 | from API rID32A |
| 68380 | N-acetyl-beta-glucosaminidase | + | 3.2.1.52 | from API rID32A |
| 68380 | phenylalanine arylamidase | - | from API rID32A | |
| 68380 | proline-arylamidase | - | 3.4.11.5 | from API rID32A |
| 68380 | pyrrolidonyl arylamidase | - | 3.4.19.3 | from API rID32A |
| 68380 | serine arylamidase | - | from API rID32A | |
| 68380 | tyrosine arylamidase | - | from API rID32A | |
| 68380 | urease | - | 3.5.1.5 | from API rID32A |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | L-lactaldehyde degradation | 100 | 3 of 3 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | sulfopterin metabolism | 100 | 4 of 4 | ||
| 66794 | glycogen metabolism | 100 | 5 of 5 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | formaldehyde oxidation | 100 | 3 of 3 | ||
| 66794 | vitamin K metabolism | 100 | 5 of 5 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | biotin biosynthesis | 100 | 4 of 4 | ||
| 66794 | C4 and CAM-carbon fixation | 100 | 8 of 8 | ||
| 66794 | gluconeogenesis | 100 | 8 of 8 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | tetrahydrofolate metabolism | 92.86 | 13 of 14 | ||
| 66794 | starch degradation | 90 | 9 of 10 | ||
| 66794 | aspartate and asparagine metabolism | 88.89 | 8 of 9 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | lipid A biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | NAD metabolism | 88.89 | 16 of 18 | ||
| 66794 | vitamin B1 metabolism | 84.62 | 11 of 13 | ||
| 66794 | vitamin B6 metabolism | 81.82 | 9 of 11 | ||
| 66794 | pentose phosphate pathway | 81.82 | 9 of 11 | ||
| 66794 | metabolism of amino sugars and derivatives | 80 | 4 of 5 | ||
| 66794 | pyrimidine metabolism | 80 | 36 of 45 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | threonine metabolism | 80 | 8 of 10 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | valine metabolism | 77.78 | 7 of 9 | ||
| 66794 | d-mannose degradation | 77.78 | 7 of 9 | ||
| 66794 | phenylalanine metabolism | 76.92 | 10 of 13 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | CMP-KDO biosynthesis | 75 | 3 of 4 | ||
| 66794 | ppGpp biosynthesis | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | isoleucine metabolism | 75 | 6 of 8 | ||
| 66794 | purine metabolism | 73.4 | 69 of 94 | ||
| 66794 | flavin biosynthesis | 73.33 | 11 of 15 | ||
| 66794 | propanol degradation | 71.43 | 5 of 7 | ||
| 66794 | degradation of pentoses | 71.43 | 20 of 28 | ||
| 66794 | propionate fermentation | 70 | 7 of 10 | ||
| 66794 | Entner Doudoroff pathway | 70 | 7 of 10 | ||
| 66794 | histidine metabolism | 68.97 | 20 of 29 | ||
| 66794 | alanine metabolism | 68.97 | 20 of 29 | ||
| 66794 | glutamate and glutamine metabolism | 67.86 | 19 of 28 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | degradation of hexoses | 66.67 | 12 of 18 | ||
| 66794 | serine metabolism | 66.67 | 6 of 9 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | methionine metabolism | 65.38 | 17 of 26 | ||
| 66794 | glycolysis | 64.71 | 11 of 17 | ||
| 66794 | d-xylose degradation | 63.64 | 7 of 11 | ||
| 66794 | non-pathway related | 63.16 | 24 of 38 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | degradation of sugar alcohols | 62.5 | 10 of 16 | ||
| 66794 | isoprenoid biosynthesis | 61.54 | 16 of 26 | ||
| 66794 | cellulose degradation | 60 | 3 of 5 | ||
| 66794 | methylglyoxal degradation | 60 | 3 of 5 | ||
| 66794 | hydrogen production | 60 | 3 of 5 | ||
| 66794 | ubiquinone biosynthesis | 57.14 | 4 of 7 | ||
| 66794 | proline metabolism | 54.55 | 6 of 11 | ||
| 66794 | leucine metabolism | 53.85 | 7 of 13 | ||
| 66794 | degradation of sugar acids | 52 | 13 of 25 | ||
| 66794 | selenocysteine biosynthesis | 50 | 3 of 6 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | citric acid cycle | 50 | 7 of 14 | ||
| 66794 | lysine metabolism | 50 | 21 of 42 | ||
| 66794 | phenylmercury acetate degradation | 50 | 1 of 2 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | adipate degradation | 50 | 1 of 2 | ||
| 66794 | dTDPLrhamnose biosynthesis | 50 | 4 of 8 | ||
| 66794 | butanoate fermentation | 50 | 2 of 4 | ||
| 66794 | cysteine metabolism | 50 | 9 of 18 | ||
| 66794 | tryptophan metabolism | 47.37 | 18 of 38 | ||
| 66794 | sulfate reduction | 46.15 | 6 of 13 | ||
| 66794 | lipid metabolism | 45.16 | 14 of 31 | ||
| 66794 | CO2 fixation in Crenarchaeota | 44.44 | 4 of 9 | ||
| 66794 | polyamine pathway | 43.48 | 10 of 23 | ||
| 66794 | reductive acetyl coenzyme A pathway | 42.86 | 3 of 7 | ||
| 66794 | tyrosine metabolism | 42.86 | 6 of 14 | ||
| 66794 | cardiolipin biosynthesis | 42.86 | 3 of 7 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 41.67 | 5 of 12 | ||
| 66794 | arginine metabolism | 41.67 | 10 of 24 | ||
| 66794 | O-antigen biosynthesis | 40 | 2 of 5 | ||
| 66794 | factor 420 biosynthesis | 40 | 2 of 5 | ||
| 66794 | myo-inositol biosynthesis | 40 | 4 of 10 | ||
| 66794 | lipoate biosynthesis | 40 | 2 of 5 | ||
| 66794 | glycine metabolism | 40 | 4 of 10 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 38.46 | 5 of 13 | ||
| 66794 | oxidative phosphorylation | 38.46 | 35 of 91 | ||
| 66794 | ketogluconate metabolism | 37.5 | 3 of 8 | ||
| 66794 | metabolism of disaccharids | 36.36 | 4 of 11 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | cyanate degradation | 33.33 | 1 of 3 | ||
| 66794 | molybdenum cofactor biosynthesis | 33.33 | 3 of 9 | ||
| 66794 | glycolate and glyoxylate degradation | 33.33 | 2 of 6 | ||
| 66794 | enterobactin biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | sphingosine metabolism | 33.33 | 2 of 6 | ||
| 66794 | ascorbate metabolism | 31.82 | 7 of 22 | ||
| 66794 | urea cycle | 30.77 | 4 of 13 | ||
| 66794 | coenzyme M biosynthesis | 30 | 3 of 10 | ||
| 66794 | heme metabolism | 28.57 | 4 of 14 | ||
| 66794 | mevalonate metabolism | 28.57 | 2 of 7 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | alginate biosynthesis | 25 | 1 of 4 | ||
| 66794 | lactate fermentation | 25 | 1 of 4 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | phenylpropanoid biosynthesis | 23.08 | 3 of 13 | ||
| 66794 | nitrate assimilation | 22.22 | 2 of 9 | ||
| 66794 | glutathione metabolism | 21.43 | 3 of 14 |
| @ref | URE | ADH (Arg) | alpha GAL | beta GAL | beta-Galactosidase 6-phosphatebeta GP | alpha GLU | beta GLU | alpha ARA | beta GUR | beta-N-Acetyl-beta-glucosaminidasebeta NAG | MNE | RAF | GDC | alpha FUC | Reduction of nitrateNIT | IND | PAL | L-arginine arylamidaseArgA | ProA | LGA | Phenylalanine arylamidasePheA | Leucine arylamidaseLeuA | PyrA | Tyrosine arylamidaseTyrA | Alanine arylamidaseAlaA | Glycin arylamidaseGlyA | Histidine arylamidaseHisA | Glutamyl-glutamate arylamidaseGGA | Serine arylamidaseSerA | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 6174 | - | - | + | + | - | + | +/- | + | - | + | - | - | - | + | - | - | + | + | - | + | - | + | - | - | + | - | - | - | - | |
| 6174 | - | - | + | + | - | + | +/- | + | - | + | - | - | - | + | - | + | + | +/- | - | + | - | + | - | - | + | - | - | +/- | - | |
| 6174 | - | - | + | + | - | + | - | + | - | + | + | + | - | + | - | + | + | + | - | + | - | + | - | - | + | - | - | + | - |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Mammals | #Muridae (Mouse/Rat) | |
| #Host Body-Site | #Gastrointestinal tract | #Large intestine | |
| #Host Body Product | #Gastrointestinal tract | #Caecal content |
Global distribution of 16S sequence AB510696 (>99% sequence identity) for Bacteroides acidifaciens subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM2462306v1 assembly for Bacteroides acidifaciens DSM 15896 | contig | 85831 | 40.61 | ||||
| 67770 | ASM61338v1 assembly for Bacteroides acidifaciens JCM 10556 | contig | 1235814 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | Bacteroides acidifaciens gene for 16S ribosomal RNA, partial sequence, strain: JCM 10556 | AB510696 | 1490 | 85831 | ||
| 20218 | Bacteroides acidifaciens strain JCM10556 16S ribosomal RNA gene, partial sequence | EU136694 | 1968 | 85831 | ||
| 6174 | Bacteroides acidofaciens DNA for 16S rRNA, strain A40 | AB021164 | 1501 | 85831 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.30 | no |
| 125439 | motility | BacteriaNetⓘ | no | 78.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 96.30 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate anaerobe | 99.30 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 94.43 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 82.06 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 92.46 | no |
| 125438 | aerobic | aerobicⓘ | no | 89.68 | no |
| 125438 | thermophilic | thermophileⓘ | no | 91.97 | no |
| 125438 | flagellated | motile2+ⓘ | no | 88.00 | no |
| Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|
| Regulation of Bacteroides acidifaciens by the aryl hydrocarbon receptor in IL-22-producing immune cells has sex-dependent consequential impact on colitis. | Mitchell C, Staley S, Williams MC, Saxena A, Bogdon R, Roark K, Hailey M, Miranda K, Becker W, Dopkins N, Pena MM, Hogan KM, Baird M, Wilson K, Nagarkatti P, Nagarkatti M, Busbee PB. | Front Immunol | 10.3389/fimmu.2024.1444045 | 2024 | |
| T-cell activation Rho GTPase-activating protein maintains intestinal homeostasis by regulating intestinal T helper cells differentiation through the gut microbiota. | He R, Chen J, Zhao Z, Shi C, Du Y, Yi M, Feng L, Peng Q, Cui Z, Gao R, Wang H, Huang Y, Liu Z, Wang C. | Front Microbiol | 10.3389/fmicb.2022.1030947 | 2022 | |
| Dietary fibre-adapted gut microbiome clears dietary fructose and reverses hepatic steatosis. | Jung S, Bae H, Song WS, Chun Y, Le J, Alam Y, Verlande A, Chun SK, Kim J, Kelly ME, Lopez ML, Park SH, Onofre D, Baek J, Jang KH, Rubtsova VI, Anica A, Masri S, Lee G, Jang C. | Nat Metab | 10.1038/s42255-025-01356-0 | 2025 | |
| Parabacteroides distasonis uses dietary inulin to suppress NASH via its metabolite pentadecanoic acid. | Wei W, Wong CC, Jia Z, Liu W, Liu C, Ji F, Pan Y, Wang F, Wang G, Zhao L, Chu ESH, Zhang X, Sung JJY, Yu J. | Nat Microbiol | 10.1038/s41564-023-01418-7 | 2023 | |
| Association of Bacteroides acidifaciens relative abundance with high-fibre diet-associated radiosensitisation. | Then CK, Paillas S, Wang X, Hampson A, Kiltie AE. | BMC Biol | 10.1186/s12915-020-00836-x | 2020 | |
| Dietary fibre supplementation enhances radiotherapy tumour control and alleviates intestinal radiation toxicity. | Then CK, Paillas S, Moomin A, Misheva MD, Moir RA, Hay SM, Bremner D, Roberts Nee Nellany KS, Smith EE, Heidari Z, Sescu D, Wang X, Suarez-Bonnet A, Hay N, Murdoch SL, Saito R, Collie-Duguid ESR, Richardson S, Priestnall SL, Wilson JM, Gurumurthy M, Royle JS, Samuel LM, Ramsay G, Vallis KA, Foster KR, McCullagh JSO, Kiltie AE. | Microbiome | 10.1186/s40168-024-01804-1 | 2024 | |
| Increased Antibody Response to Fucosylated Oligosaccharides and Fucose-Carrying Bacteroides Species in Crohn's Disease. | Kappler K, Lasanajak Y, Smith DF, Opitz L, Hennet T. | Front Microbiol | 10.3389/fmicb.2020.01553 | 2020 | |
| Three alginate lyases provide a new gut Bacteroides ovatus isolate with the ability to grow on alginate. | Ronne ME, Tandrup T, Madsen M, Hunt CJ, Myers PN, Moll JM, Holck J, Brix S, Strube ML, Aachmann FL, Wilkens C, Svensson B. | Appl Environ Microbiol | 10.1128/aem.01185-23 | 2023 | |
| Intestinal inflammation alters mucosal carbohydrate foraging and monosaccharide incorporation into microbial glycans. | Weiss GA, Grabinger T, Glaus Garzon J, Hasler T, Greppi A, Lacroix C, Khanzhin N, Hennet T. | Cell Microbiol | 10.1111/cmi.13269 | 2021 | |
| Host-compound foraging by intestinal microbiota revealed by single-cell stable isotope probing. | Berry D, Stecher B, Schintlmeister A, Reichert J, Brugiroux S, Wild B, Wanek W, Richter A, Rauch I, Decker T, Loy A, Wagner M. | Proc Natl Acad Sci U S A | 10.1073/pnas.1219247110 | 2013 | |
| Methotrexate impacts conserved pathways in diverse human gut bacteria leading to decreased host immune activation. | Nayak RR, Alexander M, Deshpande I, Stapleton-Gray K, Rimal B, Patterson AD, Ubeda C, Scher JU, Turnbaugh PJ. | Cell Host Microbe | 10.1016/j.chom.2020.12.008 | 2021 | |
| Occurrence of polyhalogenated carbazoles and the combined effects with heavy metals on variation in bacterial communities in estuarine sediments. | Hu S, Zheng M, Mu Y, Liu A, Jiang Y, Li Y, Ning K, Wang L. | Mar Pollut Bull | 10.1016/j.marpolbul.2023.115873 | 2024 | |
| Gender-affirming hormone therapy preserves skeletal maturation in young mice via the gut microbiome. | Pal S, Morgan X, Dar HY, Gacasan CA, Patil S, Stoica A, Hu YJ, Weitzmann MN, Jones RM, Pacifici R. | J Clin Invest | 10.1172/jci175410 | 2024 | |
| Alterations in intestinal microbiota and enzyme activities under cold-humid stress: implications for diarrhea in cold-dampness trapped spleen syndrome. | Wu Y, Deng N, Liu J, Jiang P, Tan Z. | Front Microbiol | 10.3389/fmicb.2023.1288430 | 2023 | |
| A bacterial sialidase mediates early-life colonization by a pioneering gut commensal. | Buzun E, Hsu CY, Sejane K, Oles RE, Vasquez Ayala A, Loomis LR, Zhao J, Rossitto LA, McGrosso DM, Gonzalez DJ, Bode L, Chu H. | Cell Host Microbe | 10.1016/j.chom.2023.12.014 | 2024 | |
| Establishment of porcine fecal-derived ex vivo microbial communities to evaluate the impact of livestock feed on gut microbiome. | Tsujikawa Y, Nishiyama K, Namai F, Imamura Y, Sakuma T, Saha S, Suzuki M, Sakurai M, Iwata R, Matsuo K, Takamori H, Suda Y, Zhou B, Fukuda I, Villena J, Sakane I, Osawa R, Kitazawa H. | Biosci Microbiota Food Health | 10.12938/bmfh.2023-085 | 2024 | |
| Target Metabolites to Slow Down Progression of Amyotrophic Lateral Sclerosis in Mice. | Ogbu D, Zhang Y, Claud K, Xia Y, Sun J. | Metabolites | 10.3390/metabo12121253 | 2022 | |
| Alleviation of Intestinal Inflammation by Oral Supplementation With 2-Fucosyllactose in Mice. | Grabinger T, Glaus Garzon JF, Hausmann M, Geirnaert A, Lacroix C, Hennet T. | Front Microbiol | 10.3389/fmicb.2019.01385 | 2019 | |
| A 16S rRNA Gene and Draft Genome Database for the Murine Oral Bacterial Community. | Joseph S, Aduse-Opoku J, Hashim A, Hanski E, Streich R, Knowles SCL, Pedersen AB, Wade WG, Curtis MA. | mSystems | 10.1128/msystems.01222-20 | 2021 | |
| Versatility of bacterial outer membrane vesicles in regulating intestinal homeostasis. | Wang X, Lin S, Wang L, Cao Z, Zhang M, Zhang Y, Liu R, Liu J. | Sci Adv | 10.1126/sciadv.ade5079 | 2023 | |
| Bacteroides stercorirosoris sp. nov. and Bacteroides faecichinchillae sp. nov., isolated from chinchilla (Chinchilla lanigera) faeces. | Kitahara M, Sakamoto M, Tsuchida S, Kawasumi K, Amao H, Benno Y, Ohkuma M | Int J Syst Evol Microbiol | 10.1099/ijs.0.032706-0 | 2011 | |
| Bacteroides acidifaciens sp. nov., isolated from the caecum of mice. | Miyamoto Y, Itoh K | Int J Syst Evol Microbiol | 10.1099/00207713-50-1-145 | 2000 |
| #6174 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 15896 |
| #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 ) |
| #59367 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 51929 |
| #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; |
| #68380 | Automatically annotated from API rID32A . |
| #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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