Acidaminococcus intestini DSM 21505 is an anaerobe, Gram-negative, coccus-shaped bacterium that forms circular colonies and was isolated from Human peritoneal fluid.
Gram-negative coccus-shaped colony-forming anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
|
|
| Domain Bacteria |
| Phylum Bacillota |
| Class Negativicutes |
| Order Acidaminococcales |
| Family Acidaminococcaceae |
| Genus Acidaminococcus |
| Species Acidaminococcus intestini |
| Full scientific name Acidaminococcus intestini Jumas-Bilak et al. 2007 |
| @ref | Type of hemolysis | Colony size | Colony color | Colony shape | Incubation period | Medium used | |
|---|---|---|---|---|---|---|---|
| 22965 | gamma | 0.3-0.5 mm | whitish | circular | 2 days | Columbia sheep blood agar | |
| 120258 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 15684 | 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 | ||
| 15684 | PYG MEDIUM (MODIFIED) (DSMZ Medium 104) | Medium recipe at MediaDive | Name: PYG MEDIUM (modified) (DSMZ Medium 104) Composition: Yeast extract 10.0 g/l Peptone 5.0 g/l Trypticase peptone 5.0 g/l Beef extract 5.0 g/l Glucose 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l K2HPO4 0.04 g/l KH2PO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Hemin 0.005 g/l Ethanol 0.0038 g/l Resazurin 0.001 g/l Tween 80 Vitamin K1 NaOH Distilled water | ||
| 22965 | Columbia sheep blood agar | ||||
| 42018 | 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) | |||
| 120258 | CIP Medium 6 | Medium recipe at CIP |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68380 | 29016 ChEBI | arginine | - | hydrolysis | from API rID32A |
| 120258 | 17057 ChEBI | cellobiose | - | degradation | |
| 120258 | 17108 ChEBI | D-arabinose | - | degradation | |
| 120258 | 15824 ChEBI | D-fructose | - | degradation | |
| 120258 | 17634 ChEBI | D-glucose | - | degradation | |
| 68380 | 16024 ChEBI | D-mannose | - | fermentation | from API rID32A |
| 120258 | 65327 ChEBI | D-xylose | - | degradation | |
| 120258 | 4853 ChEBI | esculin | - | hydrolysis | |
| 22965 | 29985 ChEBI | L-glutamate | + | fermentation | |
| 68380 | 29985 ChEBI | L-glutamate | - | degradation | from API rID32A |
| 22965 | 24996 ChEBI | lactate | - | growth | |
| 120258 | 17716 ChEBI | lactose | - | degradation | |
| 120258 | 17306 ChEBI | maltose | - | degradation | |
| 22965 | 17632 ChEBI | nitrate | - | reduction | |
| 68380 | 17632 ChEBI | nitrate | - | reduction | from API rID32A |
| 120258 | 17632 ChEBI | nitrate | - | reduction | |
| 120258 | 16301 ChEBI | nitrite | - | reduction | |
| 68380 | 16634 ChEBI | raffinose | - | fermentation | from API rID32A |
| 120258 | 17814 ChEBI | salicin | - | degradation | |
| 120258 | 17992 ChEBI | sucrose | + | degradation | |
| 68380 | 27897 ChEBI | tryptophan | - | energy source | from API rID32A |
| 68380 | 16199 ChEBI | urea | - | hydrolysis | from API rID32A |
| @ref | Chebi-ID | Metabolite | Indole test | |
|---|---|---|---|---|
| 68380 | 35581 ChEBI | indole | - | from API rID32A |
| @ref | Value | Activity | Ec | |
|---|---|---|---|---|
| 68382 | acid phosphatase | + | 3.1.3.2 | from API zym |
| 68380 | alanine arylamidase | - | 3.4.11.2 | from API rID32A |
| 68382 | alkaline phosphatase | - | 3.1.3.1 | from API zym |
| 68380 | alkaline phosphatase | - | 3.1.3.1 | from API rID32A |
| 68380 | alpha-arabinosidase | - | 3.2.1.55 | from API rID32A |
| 68382 | alpha-chymotrypsin | - | 3.4.21.1 | from API zym |
| 68382 | alpha-fucosidase | - | 3.2.1.51 | from API zym |
| 68380 | alpha-fucosidase | - | 3.2.1.51 | from API rID32A |
| 68382 | alpha-galactosidase | - | 3.2.1.22 | from API zym |
| 68380 | alpha-galactosidase | - | 3.2.1.22 | from API rID32A |
| 68382 | alpha-glucosidase | - | 3.2.1.20 | from API zym |
| 68380 | alpha-glucosidase | - | 3.2.1.20 | from API rID32A |
| 68382 | alpha-mannosidase | - | 3.2.1.24 | from API zym |
| 120258 | amylase | - | ||
| 68380 | arginine dihydrolase | - | 3.5.3.6 | from API rID32A |
| 68382 | beta-galactosidase | - | 3.2.1.23 | from API zym |
| 120258 | beta-galactosidase | - | 3.2.1.23 | |
| 68380 | beta-galactosidase | - | 3.2.1.23 | from API rID32A |
| 68380 | beta-Galactosidase 6-phosphate | - | from API rID32A | |
| 68382 | beta-glucosidase | - | 3.2.1.21 | from API zym |
| 68380 | beta-glucosidase | - | 3.2.1.21 | from API rID32A |
| 68382 | beta-glucuronidase | - | 3.2.1.31 | from API zym |
| 68380 | beta-glucuronidase | - | 3.2.1.31 | from API rID32A |
| 120258 | caseinase | - | 3.4.21.50 | |
| 22965 | catalase | - | 1.11.1.6 | |
| 120258 | catalase | - | 1.11.1.6 | |
| 68382 | cystine arylamidase | - | 3.4.11.3 | from API zym |
| 22965 | cytochrome oxidase | - | 1.9.3.1 | |
| 120258 | DNase | - | ||
| 68382 | esterase (C 4) | + | from API zym | |
| 68382 | esterase lipase (C 8) | - | from API zym | |
| 22965 | gelatinase | - | ||
| 120258 | gelatinase | - | ||
| 68380 | glutamate decarboxylase | - | 4.1.1.15 | from API rID32A |
| 68380 | glutamyl-glutamate arylamidase | - | from API rID32A | |
| 68380 | glycin arylamidase | + | from API rID32A | |
| 68380 | histidine arylamidase | + | from API rID32A | |
| 68380 | L-arginine arylamidase | + | from API rID32A | |
| 120258 | lecithinase | - | ||
| 68382 | leucine arylamidase | - | 3.4.11.1 | from API zym |
| 68380 | leucyl glycin arylamidase | - | 3.4.11.1 | from API rID32A |
| 120258 | lipase | - | ||
| 68382 | lipase (C 14) | - | from API zym | |
| 68382 | N-acetyl-beta-glucosaminidase | - | 3.2.1.52 | from API zym |
| 68380 | N-acetyl-beta-glucosaminidase | - | 3.2.1.52 | from API rID32A |
| 68382 | naphthol-AS-BI-phosphohydrolase | + | from API zym | |
| 120258 | oxidase | - | ||
| 68380 | phenylalanine arylamidase | - | from API rID32A | |
| 68380 | proline-arylamidase | - | 3.4.11.5 | from API rID32A |
| 120258 | protease | - | ||
| 68380 | serine arylamidase | - | from API rID32A | |
| 68382 | trypsin | - | 3.4.21.4 | from API zym |
| 68380 | tryptophan deaminase | - | 4.1.99.1 | from API rID32A |
| 120258 | tween esterase | - | ||
| 68380 | tyrosine arylamidase | - | from API rID32A | |
| 120258 | urease | - | 3.5.1.5 | |
| 68380 | urease | - | 3.5.1.5 | from API rID32A |
| 68382 | valine arylamidase | - | from API zym |
| @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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 15684 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | + | - | - | - | +/- | +/- | - | - | + | + | - | - | |
| 15684 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | + | - | - | - | + | - | - | - | + | + | - | - |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Infection | #Patient | - | |
| #Host | #Human | - | |
| #Host Body Product | #Fluids | - | |
| #Host Body-Site | #Other | #Abdomen |
| @ref | Sample type | Sampling date | Geographic location | Country | Country ISO 3 Code | Continent | Enrichment culture | Enrichment culture duration | Enrichment culture temperature | Isolation date | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 15684 | Human peritoneal fluid | University Hospital Arnaud de Villeneuve, Montpellier | France | FRA | Europe | ||||||
| 22965 | gastro-intestinal tract of humans | Columbia sheep blood agar | 2-5 days | 37.0 | |||||||
| 59050 | Human peritoneal fluid,45-yr-old man | 1999-06-01 | Montpellier | France | FRA | Europe | |||||
| 67771 | From human peritoneal fluid, 45-yr-old man | University Hospital Arnaud de Villeneuve, Montpellier | France | FRA | Europe | ||||||
| 120258 | Human, Peritoneal liquid | Montpellier | France | FRA | Europe | 1999 |
Global distribution of 16S sequence NR_041894 (>99% sequence identity) for Acidaminococcus intestini subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67771 | ASM42504v1 assembly for Acidaminococcus intestini DSM 21505 | scaffold | 1120921 | 66.95 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 97.50 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 57.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 75.80 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 92.60 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 86.57 | yes |
| 125438 | anaerobic | anaerobicⓘ | yes | 93.34 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 74.64 | no |
| 125438 | aerobic | aerobicⓘ | no | 96.49 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 90.36 | no |
| 125438 | flagellated | motile2+ⓘ | no | 86.56 | yes |
| Topic | Title | Authors | Journal | DOI | Year | |
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| Phylogeny | Genetic and Functional Diversity Help Explain Pathogenic, Weakly Pathogenic, and Commensal Lifestyles in the Genus Xanthomonas. | Pena MM, Bhandari R, Bowers RM, Weis K, Newberry E, Wagner N, Pupko T, Jones JB, Woyke T, Vinatzer BA, Jacques MA, Potnis N. | Genome Biol Evol | 10.1093/gbe/evae074 | 2024 | |
| Inference of Network Dynamics and Metabolic Interactions in the Gut Microbiome. | Steinway SN, Biggs MB, Loughran TP, Papin JA, Albert R. | PLoS Comput Biol | 10.1371/journal.pcbi.1004338 | 2015 | ||
| The Effect of Apple and Pear Cultivars on In Vitro Fermentation with Human Faecal Microbiota. | Hoogeveen AME, Butts CA, Kim CC, Jobsis CMH, Parkar SG, Stoklosinski HM, Sutton KH, Davis P, Hedderley DI, Johnston J, Gopal PK. | Microorganisms | 10.3390/microorganisms13081870 | 2025 | ||
| Exploring the role of gut microbiota in rheumatoid arthritis: the effects of diet and drug supplementation. | Genc DE, Ozbek O, Ulgen KO. | BMC Rheumatol | 10.1186/s41927-025-00541-8 | 2025 | ||
| Association of Gut Dysbiosis with Disease Phenotype and Treatment in Systemic Lupus Erythematosus. | Medina-Martinez I, Gil-Gutierrez R, Garcia-Garcia J, de la Hera-Fernandez FJ, Navarrete-Navarrete N, Zamora-Pasadas M, Ortego-Centeno N, Callejas-Rubio JL, Garcia-Garcia F, Galvez-Peralta J, Rodriguez-Nogales A, Correa-Rodriguez M, Rueda-Medina B. | Med Sci (Basel) | 10.3390/medsci13030151 | 2025 | ||
| Transcriptome | Microbiota Alters and Its Correlation with Molecular Regulation Underlying Depression in PCOS Patients. | Yu L, Chen X, Bai X, Fang J, Sui M. | Mol Neurobiol | 10.1007/s12035-023-03744-7 | 2024 | |
| Dysbiosis in the Gut Microbiome of Pembrolizumab-Treated Non-Small Lung Cancer Patients Compared to Healthy Controls Characterized Through Opportunistic Sampling. | Charalambous H, Brown C, Vogazianos P, Katsaounou K, Nikolaou E, Stylianou I, Papageorgiou E, Vraxnos D, Aristodimou A, Chi J, Costeas P, Shammas C, Apidianakis Y, Antoniades A. | Thorac Cancer | 10.1111/1759-7714.70075 | 2025 | ||
| Complex Probiotics Relieve Constipation Through Regulation of the Intestinal Microbiota in Kittens. | Zhu S, Guo Z, Liu L, Gao Y, Bai L, Chen Y, Zha M. | Microorganisms | 10.3390/microorganisms13030563 | 2025 | ||
| The Effect of Apple and Pear Cultivars on In Vitro Fermentation with Human Faecal Microbiota | Hoogeveen A, Butts C, Kim C, Jobsis C, Parkar S, Stoklosinski H, Sutton K, Davis P, Hedderley D, Johnston J, Gopal P. | Microorganisms | 2025 | |||
| Fecal Microbiota Transplantation Induces Sustained Gut Microbiome Changes in Pediatric Ulcerative Colitis: A Combined Randomized and Open-Label Study. | Le J, Hakimjavadi H, Parsana R, Chamala S, Michail S. | Gastro Hep Adv | 10.1016/j.gastha.2025.100741 | 2025 | ||
| Genetics | F. prausnitzii potentially modulates the association between citrus intake and depression. | Samuthpongtorn C, Chan AA, Ma W, Wang F, Nguyen LH, Wang DD, Okereke OI, Huttenhower C, Chan AT, Mehta RS. | Microbiome | 10.1186/s40168-024-01961-3 | 2024 | |
| Relationship between jejunum ATPase activity and antioxidant function on the growth performance, feed conversion efficiency, and jejunum microbiota in Hu sheep (Ovis aries). | Chen Z, Wang G, Wang W, Wang X, Huang Y, Jia J, Gao Q, Xu H, He L, Xu Y, Liu Z, Sun J, Li C. | BMC Vet Res | 10.1186/s12917-024-04100-0 | 2024 | ||
| Genetics | Gut Microbiota Is Not Significantly Altered by Radioiodine Therapy. | Barata P, Oliveira A, Soares R, Fernandes A. | Nutrients | 10.3390/nu17030395 | 2025 | |
| Epilactose as a Promising Butyrate-Promoter Prebiotic via Microbiota Modulation. | Cardoso BB, Amorim C, Franco-Duarte R, Alves JI, Barbosa SG, Silverio SC, Rodrigues LR. | Life (Basel) | 10.3390/life14050643 | 2024 | ||
| Pathogenicity | Gut microbiome and clinical and lifestyle host factors associated with recurrent positive RT-PCR for SARS-CoV-2. | Jimenez-Arroyo C, Molinero N, Sabater C, Margolles A, Terron-Camero LC, Andres-Leon E, Ramos M, Del Val M, Moreno-Arribas MV. | Front Cell Infect Microbiol | 10.3389/fcimb.2024.1494193 | 2024 | |
| Genetics | Tailored impact of dietary fibers on gut microbiota: a multi-omics comparison on the lean and obese microbial communities. | Dell'Olio A, Scott WT, Taroncher-Ferrer S, San Onofre N, Soriano JM, Rubert J. | Microbiome | 10.1186/s40168-024-01975-x | 2024 | |
| Genetics | Assessing peri-implant bacterial community structure: the effect of microbiome sample collection method. | Anitua E, Murias-Freijo A, Tierno R, Tejero R, Alkhraisat MH. | BMC Oral Health | 10.1186/s12903-024-04675-y | 2024 | |
| Phylogeny | The role of intestinal microbiota in the humoral response to SARS-CoV-2 after mRNA-1273 vaccination. | Tarrino M, Gutierrez-Bautista JF, Duran MJO, Garcia-Diaz A, Cabrera-Serrano AJ, Sainz J, Cobo F, Rodriguez T, Reguera JA, Bernal M, Lopez-Nevot MA, Sampedro A. | Sci Rep | 10.1038/s41598-025-11103-w | 2025 | |
| Metabolism | The Association Between Prevotella copri and Advanced Fibrosis in the Progression of Metabolic Dysfunction-Associated Steatotic Liver Disease. | Zhang D, Leitman M, Pawar S, Shera S, Hernandez L, Jacobs JP, Dong TS. | Nutrients | 10.3390/nu17132145 | 2025 | |
| Healthy dietary patterns are associated with the gut microbiome in the Hispanic Community Health Study/Study of Latinos. | Peters BA, Xing J, Chen GC, Usyk M, Wang Z, McClain AC, Thyagarajan B, Daviglus ML, Sotres-Alvarez D, Hu FB, Knight R, Burk RD, Kaplan RC, Qi Q. | Am J Clin Nutr | 10.1016/j.ajcnut.2022.11.020 | 2023 | ||
| Pathogenicity | Impact of dietary inflammatory index on gestational diabetes mellitus in normal and overweight women: a systematic review and meta-analysis of observational studies. | Liu RL, Chen XQ, Zheng QX, Li JN, Zhu Y, Huang L, Pan YQ, Jiang XM. | Asia Pac J Clin Nutr | 10.6133/apjcn.202409_33(3).0002 | 2024 | |
| Pathogenicity | The Association between Dietary Inflammatory Patterns and the Incidence of Frailty and Its Reversal in Older Adults: A Community-Based Longitudinal Follow-Up Study in Taiwan. | Chuang SC, Hsiung CA, Tao MH, Wu IC, Cheng CW, Tseng WT, Lee MM, Chang HY, Hsu CC. | Nutrients | 10.3390/nu16172862 | 2024 | |
| Metabolism | ACI-1 beta-lactamase is widespread across human gut microbiomes in Negativicutes due to transposons harboured by tailed prophages. | Rands CM, Starikova EV, Brussow H, Kriventseva EV, Govorun VM, Zdobnov EM. | Environ Microbiol | 10.1111/1462-2920.14276 | 2018 | |
| May Sulfites in Wine Affect Gut Microbiota? An In Vitro Study of Their Digestion and Interplay with Wine Polyphenols. | Relano de la Guia E, Cueva C, Molinero N, Ruano A, Motilva MJ, Bartolome B, Moreno-Arribas MV. | J Agric Food Chem | 10.1021/acs.jafc.5c02710 | 2025 | ||
| Pathogenicity | Fecal microbiota transplantation alters the proteomic landscape of inflammation in HIV: identifying bacterial drivers. | Diaz-Garcia C, Moreno E, Talavera-Rodriguez A, Martin-Fernandez L, Gonzalez-Bodi S, Martin-Pedraza L, Perez-Molina JA, Dronda F, Gosalbes MJ, Luna L, Vivancos MJ, Huerta-Cepas J, Moreno S, Serrano-Villar S. | Microbiome | 10.1186/s40168-024-01919-5 | 2024 | |
| Meta-analysis of the human gut microbiome uncovers shared and distinct microbial signatures between diseases. | Jin D-M, Morton JT, Bonneau R. | mSystems | 10.1128/msystems.00295-24 | 2024 | ||
| Dietary Sugar and Saturated Fat Consumption Associated with the Gastrointestinal Microbiome during Pregnancy. | Dreisbach C, Nansel T, Peddada S, Nicholson W, Siega-Riz AM. | J Nutr | 10.1016/j.tjnut.2024.09.016 | 2024 | ||
| Compositional differences between gut microbiota of adult patients with asthma and healthy controls. | Hoffmann A, Strozik T, Wasiak T, Buczylko K, Pawliczak R. | Postepy Dermatol Alergol | 10.5114/ada.2022.117998 | 2023 | ||
| Microbial Ecosystem Therapeutics 4 (MET4) elicits treatment-specific IgG responses associated with changes in gut microbiota in immune checkpoint inhibitor recipients with advanced solid tumors. | Wong MK, Boukhaled GM, Armstrong E, Liu R, Heirali AA, Yee NR, Tsang J, Spiliopoulou P, Schneeberger PHH, Wang BX, Cochrane K, Sherriff K, Allen-Vercoe E, Siu LL, Spreafico A, Coburn B. | J Immunother Cancer | 10.1136/jitc-2024-010681 | 2025 | ||
| Metabolism | Analyzing Predominant Bacterial Species and Potential Short-Chain Fatty Acid-Associated Metabolic Routes in Human Gut Microbiome Using Integrative Metagenomics. | Kingkaw A, Raethong N, Patumcharoenpol P, Suratannon N, Nakphaichit M, Keawsompong S, Roytrakul S, Vongsangnak W. | Biology (Basel) | 10.3390/biology12010021 | 2022 | |
| Long-term alterations in gut microbiota following mild COVID-19 recovery: bacterial and fungal community shifts. | Li D, Zhang DY, Chen SJ, Lv YT, Huang SM, Chen C, Zeng F, Chen RX, Zhang XD, Xiong JX, Chen FD, Jiang YH, Chen Z, Mo CY, Chen JJ, Zhu XL, Zhang LJ, Bai FH. | Front Cell Infect Microbiol | 10.3389/fcimb.2025.1565887 | 2025 | ||
| Does gut microbiota dysbiosis impact the metabolic alterations of hydrogen sulfide and lanthionine in patients with chronic kidney disease? | Garcia-Martinez Y, Alexandrova E, Iebba V, Ferravante C, Spinelli M, Franci G, Amoresano A, Weisz A, Trepiccione F, Borriello M, Ingrosso D, Perna AF. | BMC Microbiol | 10.1186/s12866-024-03590-0 | 2024 | ||
| Dietary Acculturation Is Associated With Altered Gut Microbiome, Circulating Metabolites, and Cardiovascular Disease Risk in US Hispanics and Latinos: Results From HCHS/SOL. | Wang Y, Chen GC, Wang Z, Luo K, Zhang Y, Li Y, McClain AC, Jankowska MM, Perreira KM, Mattei J, Isasi CR, Llabre MM, Thyagarajan B, Daviglus ML, Van Horn L, Goldsztajn Farelo D, Maldonado LE, Levine SR, Yu B, Boerwinkle E, Knight R, Burk RD, Kaplan RC, Qi Q, Peters BA. | Circulation | 10.1161/circulationaha.124.069824 | 2024 | ||
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| Genetics | Dysbiosis and relapse-related microbiome in inflammatory bowel disease: A shotgun metagenomic approach. | Serrano-Gomez G, Mayorga L, Oyarzun I, Roca J, Borruel N, Casellas F, Varela E, Pozuelo M, Machiels K, Guarner F, Vermeire S, Manichanh C. | Comput Struct Biotechnol J | 10.1016/j.csbj.2021.11.037 | 2021 | |
| Gut microbiome composition and metabolic activity in women with diverticulitis. | Ma W, Wang Y, Nguyen LH, Mehta RS, Ha J, Bhosle A, Mclver LJ, Song M, Clish CB, Strate LL, Huttenhower C, Chan AT. | Nat Commun | 10.1038/s41467-024-47859-4 | 2024 | ||
| A New Reactor Concept for Single-Chamber Microbial Fuel Cells and Possible Anti-Fouling Strategies for Long-Term Operation. | Haupt DR, Landwehr L, Schumann R, Hahn L, Issa M, Coskun C, Kunz U, Sievers M. | Microorganisms | 10.3390/microorganisms10122421 | 2022 | ||
| Correlations between Intestinal Microbiota and Clinical Characteristics in Colorectal Adenoma/Carcinoma. | Lin C, Li B, Tu C, Chen X, Guo M. | Biomed Res Int | 10.1155/2022/3140070 | 2022 | ||
| Genetics | Positive Synergistic Effects of Quercetin and Rice Bran on Human Gut Microbiota Reduces Enterobacteriaceae Family Abundance and Elevates Propionate in a Bioreactor Model. | Ghimire S, Wongkuna S, Sankaranarayanan R, Ryan EP, Bhat GJ, Scaria J. | Front Microbiol | 10.3389/fmicb.2021.751225 | 2021 | |
| Integrative multiomics analysis reveals host-microbe-metabolite interplays associated with the aging process in Singaporeans. | Chen L, Zheng T, Yang Y, Chaudhary PP, Teh JPY, Cheon BK, Moses D, Schuster SC, Schlundt J, Li J, Conway PL. | Gut Microbes | 10.1080/19490976.2022.2070392 | 2022 | ||
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| Development of an In Vitro Model of the Gut Microbiota Enriched in Mucus-Adhering Bacteria. | Calvigioni M, Panattoni A, Biagini F, Donati L, Mazzantini D, Massimino M, Daddi C, Celandroni F, Vozzi G, Ghelardi E. | Microbiol Spectr | 10.1128/spectrum.00336-23 | 2023 | ||
| A pilot study of the use of the oral and faecal microbiota for the diagnosis of ulcerative colitis and Crohn's disease in a paediatric population. | Monleon-Getino A, Pujol-Muncunill G, Mendez Viera J, Alvarez Carnero L, Sanseverino W, Paytuvi-Gallart A, Martin de Carpi J. | Front Pediatr | 10.3389/fped.2023.1220976 | 2023 | ||
| Genetics | Consistent Stool Metagenomic Biomarkers Associated with the Response To Melanoma Immunotherapy. | Olekhnovich EI, Ivanov AB, Babkina AA, Sokolov AA, Ulyantsev VI, Fedorov DE, Ilina EN. | mSystems | 10.1128/msystems.01023-22 | 2023 | |
| Changes of poultry faecal microbiota associated with Clostridium difficile colonisation. | Skraban J, Dzeroski S, Zenko B, Tusar L, Rupnik M. | Vet Microbiol | 10.1016/j.vetmic.2013.04.014 | 2013 | ||
| Effects of Italian ryegrass silage-based total mixed ration on rumen fermentation, growth performance, blood metabolites, and bacterial communities of growing Hanwoo heifers. | Ku MJ, Miguel MA, Kim SH, Jeong CD, Ramos SC, Son AR, Cho YI, Lee SS, Lee SS. | J Anim Sci Technol | 10.5187/jast.2023.e16 | 2023 | ||
| Systematic review of donor and recipient predictive biomarkers of response to faecal microbiota transplantation in patients with ulcerative colitis. | Rees NP, Shaheen W, Quince C, Tselepis C, Horniblow RD, Sharma N, Beggs AD, Iqbal TH, Quraishi MN. | EBioMedicine | 10.1016/j.ebiom.2022.104088 | 2022 | ||
| Short-Chain Fatty Acids Modulate Healthy Gut Microbiota Composition and Functional Potential. | Peterson CT, Perez Santiago J, Iablokov SN, Chopra D, Rodionov DA, Peterson SN. | Curr Microbiol | 10.1007/s00284-022-02825-5 | 2022 | ||
| Dietary supplementation with partially hydrolyzed guar gum helps improve constipation and gut dysbiosis symptoms and behavioral irritability in children with autism spectrum disorder. | Inoue R, Sakaue Y, Kawada Y, Tamaki R, Yasukawa Z, Ozeki M, Ueba S, Sawai C, Nonomura K, Tsukahara T, Naito Y. | J Clin Biochem Nutr | 10.3164/jcbn.18-105 | 2019 | ||
| Genetics | Complete genome sequence of Acidaminococcus intestini RYC-MR95, a Gram-negative bacterium from the phylum Firmicutes. | D'Auria G, Galan JC, Rodriguez-Alcayna M, Moya A, Baquero F, Latorre A. | J Bacteriol | 10.1128/jb.06301-11 | 2011 | |
| Exploring the Association between Anxiety, Depression, and Gut Microbiota during Pregnancy: Findings from a Pregnancy Cohort Study in Shijiazhuang, Hebei Province, China. | Chi R, Li M, Zhang M, Zhang N, Zhang G, Cui L, Ma G. | Nutrients | 10.3390/nu16101460 | 2024 | ||
| Pathogenicity | Dietary inflammatory potential in relation to the gut microbiome: results from a cross-sectional study. | Zheng J, Hoffman KL, Chen JS, Shivappa N, Sood A, Browman GJ, Dirba DD, Hanash S, Wei P, Hebert JR, Petrosino JF, Schembre SM, Daniel CR. | Br J Nutr | 10.1017/s0007114520001853 | 2020 | |
| Phylogeny | Intestinal Dysbiosis and Risk of Posttransplant Clostridioides difficile Infection in a Longitudinal Cohort of Liver Transplant Recipients. | Gomez-Simmonds A, Annavajhala MK, Nunez MP, Macesic N, Park H, Uhlemann AC. | mSphere | 10.1128/msphere.00361-22 | 2022 | |
| Genetics | Growth phase estimation for abundant bacterial populations sampled longitudinally from human stool metagenomes. | Lim JJ, Diener C, Wilson J, Valenzuela JJ, Baliga NS, Gibbons SM. | Nat Commun | 10.1038/s41467-023-41424-1 | 2023 | |
| Novel strain-level resolution of Crohn's disease mucosa-associated microbiota via an ex vivo combination of microbe culture and metagenomic sequencing. | Teh JJ, Berendsen EM, Hoedt EC, Kang S, Zhang J, Zhang F, Liu Q, Hamilton AL, Wilson-O'Brien A, Ching J, Sung JJY, Yu J, Ng SC, Kamm MA, Morrison M. | ISME J | 10.1038/s41396-021-00991-1 | 2021 | ||
| Functional recovery outcomes following acute stroke is associated with abundance of gut microbiota related to inflammation, butyrate and secondary bile acid. | Hammond TC, Powell E, Green SJ, Chlipala G, Frank J, Yackzan AT, Yanckello LM, Chang YH, Xing X, Heil S, Springer JE, Pennypacker K, Stromberg A, Sawaki L, Lin AL. | Front Rehabil Sci | 10.3389/fresc.2022.1017180 | 2022 | ||
| Genetics | Reproducible and opposing gut microbiome signatures distinguish autoimmune diseases and cancers: a systematic review and meta-analysis. | Islam MZ, Tran M, Xu T, Tierney BT, Patel C, Kostic AD. | Microbiome | 10.1186/s40168-022-01373-1 | 2022 | |
| Genetics | A metagenome-wide association study of the gut microbiota in recurrent aphthous ulcer and regulation by thalidomide. | Wang X, Xiong K, Huang F, Huang J, Liu Q, Duan N, Ruan H, Jiang H, Zhu Y, Lin L, Song Y, Zhao M, Zheng L, Ye P, Qian Y, Hu Q, Yan F, Wang W. | Front Immunol | 10.3389/fimmu.2022.1018567 | 2022 | |
| Gut Microbiome Alterations in Patients With Carotid Atherosclerosis. | Chen J, Qin Q, Yan S, Yang Y, Yan H, Li T, Wang L, Gao X, Li A, Ding S. | Front Cardiovasc Med | 10.3389/fcvm.2021.739093 | 2021 | ||
| Pathogenicity | Gut Microbiota Markers and Dietary Habits Associated with Extreme Longevity in Healthy Sardinian Centenarians. | Palmas V, Pisanu S, Madau V, Casula E, Deledda A, Cusano R, Uva P, Loviselli A, Velluzzi F, Manzin A. | Nutrients | 10.3390/nu14122436 | 2022 | |
| Genetics | Piglet Gut and in-Barn Manure from Farms on a Raised without Antibiotics Program Display Reduced Antimicrobial Resistance but an Increased Prevalence of Pathogens. | Chekabab SM, Lawrence JR, Alvarado AC, Predicala BZ, Korber DR. | Antibiotics (Basel) | 10.3390/antibiotics10101152 | 2021 | |
| Perturbed gut microbiome and fecal and serum metabolomes are associated with chronic kidney disease severity. | Wang H, Ainiwaer A, Song Y, Qin L, Peng A, Bao H, Qin H. | Microbiome | 10.1186/s40168-022-01443-4 | 2023 | ||
| Phylogeny | Diet-driven mercury contamination is associated with polar bear gut microbiota. | Watson SE, McKinney MA, Pindo M, Bull MJ, Atwood TC, Hauffe HC, Perkins SE. | Sci Rep | 10.1038/s41598-021-02657-6 | 2021 | |
| Metabolism | Alteration of Community Metabolism by Prebiotics and Medicinal Herbs. | Peterson CT, Perez-Santiago J, Iablokov SN, Rodionov DA, Peterson SN. | Microorganisms | 10.3390/microorganisms11040868 | 2023 | |
| Phylogeny | Conventional culture methods with commercially available media unveil the presence of novel culturable bacteria. | Ito T, Sekizuka T, Kishi N, Yamashita A, Kuroda M. | Gut Microbes | 10.1080/19490976.2018.1491265 | 2019 | |
| Effects of Antibiotic Pretreatment of an Ulcerative Colitis-Derived Fecal Microbial Community on the Integration of Therapeutic Bacteria In Vitro. | Oliphant K, Cochrane K, Schroeter K, Daigneault MC, Yen S, Verdu EF, Allen-Vercoe E. | mSystems | 10.1128/msystems.00404-19 | 2020 | ||
| Genetics | Multivariate Analysis in Microbiome Description: Correlation of Human Gut Protein Degraders, Metabolites, and Predicted Metabolic Functions. | Raimondi S, Calvini R, Candeliere F, Leonardi A, Ulrici A, Rossi M, Amaretti A. | Front Microbiol | 10.3389/fmicb.2021.723479 | 2021 | |
| Phylogeny | Comparison of the gut microbial community between obese and lean peoples using 16S gene sequencing in a Japanese population. | Andoh A, Nishida A, Takahashi K, Inatomi O, Imaeda H, Bamba S, Kito K, Sugimoto M, Kobayashi T. | J Clin Biochem Nutr | 10.3164/jcbn.15-152 | 2016 | |
| Phylogeny | Primary progressive multiple sclerosis in a Russian cohort: relationship with gut bacterial diversity. | Kozhieva M, Naumova N, Alikina T, Boyko A, Vlassov V, Kabilov MR. | BMC Microbiol | 10.1186/s12866-019-1685-2 | 2019 | |
| Sustained Drug Treatment Alters the Gut Microbiota in Rheumatoid Arthritis. | Mei L, Yang Z, Zhang X, Liu Z, Wang M, Wu X, Chen X, Huang Q, Huang R. | Front Immunol | 10.3389/fimmu.2021.704089 | 2021 | ||
| Higher pathogen load in children from Mozambique vs. USA revealed by comparative fecal microbiome profiling. | Kim M, Rodriguez-R LM, Hatt JK, Kayali O, Nala R, Dunlop AL, Brennan PA, Corwin E, Smith AK, Brown J, Konstantinidis KT. | ISME Commun | 10.1038/s43705-022-00154-z | 2022 | ||
| Gut microbiota markers associated with obesity and overweight in Italian adults. | Palmas V, Pisanu S, Madau V, Casula E, Deledda A, Cusano R, Uva P, Vascellari S, Loviselli A, Manzin A, Velluzzi F. | Sci Rep | 10.1038/s41598-021-84928-w | 2021 | ||
| Mechanically resolved imaging of bacteria using expansion microscopy. | Lim Y, Shiver AL, Khariton M, Lane KM, Ng KM, Bray SR, Qin J, Huang KC, Wang B. | PLoS Biol | 10.1371/journal.pbio.3000268 | 2019 | ||
| Water Quality, Toxicity and Diversity of Planktonic and Benthic Cyanobacteria in Pristine Ancient Lake Khubsugul (Hövsgöl), Mongolia. | Belykh OI, Sorokovikova EG, Tomberg IV, Fedorova GA, Kuzmin AV, Krasnopeev AY, Suslova MY, Potapov SA, Belykh TI, Norovsuren J, Galachyants AD, Tikhonova IV. | Toxins (Basel) | 10.3390/toxins15030213 | 2023 | ||
| Identifying and exploring biohydrogenating rumen bacteria with emphasis on pathways including trans-10 intermediates. | Dewanckele L, Jeyanathan J, Vlaeminck B, Fievez V. | BMC Microbiol | 10.1186/s12866-020-01876-7 | 2020 | ||
| Metabolism | Energetic evolution of cellular Transportomes. | Darbani B, Kell DB, Borodina I. | BMC Genomics | 10.1186/s12864-018-4816-5 | 2018 | |
| Metabolism | 16S rRNA gene profiling and genome reconstruction reveal community metabolic interactions and prebiotic potential of medicinal herbs used in neurodegenerative disease and as nootropics. | Peterson CT, Sharma V, Iablokov SN, Albayrak L, Khanipov K, Uchitel S, Chopra D, Mills PJ, Fofanov Y, Rodionov DA, Peterson SN. | PLoS One | 10.1371/journal.pone.0213869 | 2019 | |
| Prebiotic Potential of Culinary Spices Used to Support Digestion and Bioabsorption. | Peterson CT, Rodionov DA, Iablokov SN, Pung MA, Chopra D, Mills PJ, Peterson SN. | Evid Based Complement Alternat Med | 10.1155/2019/8973704 | 2019 | ||
| Metabolism | Community Metabolic Interactions, Vitamin Production and Prebiotic Potential of Medicinal Herbs Used for Immunomodulation. | Peterson CT, Iablokov SN, Uchitel S, Chopra D, Perez-Santiago J, Rodionov DA, Peterson SN. | Front Genet | 10.3389/fgene.2021.584197 | 2021 | |
| Phylogeny | Drivers of human gut microbial community assembly: coadaptation, determinism and stochasticity. | Oliphant K, Parreira VR, Cochrane K, Allen-Vercoe E. | ISME J | 10.1038/s41396-019-0498-5 | 2019 | |
| CMG-biotools, a free workbench for basic comparative microbial genomics. | Vesth T, Lagesen K, Acar O, Ussery D. | PLoS One | 10.1371/journal.pone.0060120 | 2013 | ||
| Administration of defined microbiota is protective in a murine Salmonella infection model. | Martz SL, McDonald JA, Sun J, Zhang YG, Gloor GB, Noordhof C, He SM, Gerbaba TK, Blennerhassett M, Hurlbut DJ, Allen-Vercoe E, Claud EC, Petrof EO. | Sci Rep | 10.1038/srep16094 | 2015 | ||
| Phenotype | Genomic reconstruction of short-chain fatty acid production by the human gut microbiota. | Frolova MS, Suvorova IA, Iablokov SN, Petrov SN, Rodionov DA. | Front Mol Biosci | 10.3389/fmolb.2022.949563 | 2022 | |
| Structural and mechanistic analysis of a tripartite ATP-independent periplasmic TRAP transporter. | Peter MF, Ruland JA, Depping P, Schneberger N, Severi E, Moecking J, Gatterdam K, Tindall S, Durand A, Heinz V, Siebrasse JP, Koenig PA, Geyer M, Ziegler C, Kubitscheck U, Thomas GH, Hagelueken G. | Nat Commun | 10.1038/s41467-022-31907-y | 2022 | ||
| Planktonic and Sessile Artificial Colonic Microbiota Harbor Distinct Composition and Reestablish Differently upon Frozen and Freeze-Dried Long-Term Storage. | Bircher L, Schwab C, Geirnaert A, Greppi A, Lacroix C. | mSystems | 10.1128/msystems.00521-19 | 2020 | ||
| Pathogenicity | Eukaryotic and Prokaryotic Microbiota Interactions. | Kodio A, Menu E, Ranque S. | Microorganisms | 10.3390/microorganisms8122018 | 2020 | |
| Membrane filter method to study the effects of Lactobacillus acidophilus and Bifidobacterium longum on fecal microbiota. | Shimizu H, Benno Y. | Microbiol Immunol | 10.1111/1348-0421.12332 | 2015 | ||
| Spontaneously induced prophages in Lactobacillus gasseri contribute to horizontal gene transfer. | Baugher JL, Durmaz E, Klaenhammer TR. | Appl Environ Microbiol | 10.1128/aem.04092-13 | 2014 | ||
| Genetics | Functional and genetic markers of niche partitioning among enigmatic members of the human oral microbiome. | Shaiber A, Willis AD, Delmont TO, Roux S, Chen LX, Schmid AC, Yousef M, Watson AR, Lolans K, Esen OC, Lee STM, Downey N, Morrison HG, Dewhirst FE, Mark Welch JL, Eren AM. | Genome Biol | 10.1186/s13059-020-02195-w | 2020 | |
| Metabolism | The tracrRNA and Cas9 families of type II CRISPR-Cas immunity systems. | Chylinski K, Le Rhun A, Charpentier E. | RNA Biol | 10.4161/rna.24321 | 2013 | |
| Genetics | Phylogenomic analysis supports the ancestral presence of LPS-outer membranes in the Firmicutes. | Antunes LC, Poppleton D, Klingl A, Criscuolo A, Dupuy B, Brochier-Armanet C, Beloin C, Gribaldo S. | Elife | 10.7554/elife.14589 | 2016 | |
| Phylogeny | Acidaminococcus intestini sp. nov., isolated from human clinical samples. | Jumas-Bilak E, Carlier JP, Jean-Pierre H, Mory F, Teyssier C, Gay B, Campos J, Marchandin H | Int J Syst Evol Microbiol | 10.1099/ijs.0.64883-0 | 2007 |
| #15684 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 21505 |
| #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 ) |
| #22965 | Estelle Jumas-Bilak,Jean-Philippe Carlier,Hélène Jean-Pierre,Francine Mory,Corinne Teyssier,Bernard Gay,Josiane Campos,Hélène Marchandin: Acidaminococcus intestini sp. nov., isolated from human clinical samples. IJSEM 57: 2314 - 2319 2007 ( DOI 10.1099/ijs.0.64883-0 , PubMed 17911303 ) |
| #42018 | ; Curators of the CIP; |
| #59050 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 50930 |
| #67771 | Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC; |
| #68380 | Automatically annotated from API rID32A . |
| #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 . |
| #120258 | Collection of Institut Pasteur ; Curators of the CIP; CIP 108586 |
| #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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