Anaerobutyricum hallii DSM 3353 is an anaerobe, mesophilic prokaryote that was isolated from human faeces.
anaerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacillati |
| Phylum Bacillota |
| Class Clostridia |
| Order Eubacteriales |
| Family Lachnospiraceae |
| Genus Anaerobutyricum |
| Species Anaerobutyricum hallii |
| Full scientific name Anaerobutyricum hallii (Holdeman and Moore 1974) Shetty et al. 2018 |
| Synonyms (1) |
| BacDive ID | Other strains from Anaerobutyricum hallii (1) | Type strain |
|---|---|---|
| 163991 | A. hallii JCM 31263 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 1360 | 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 | ||
| 1360 | CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110) | Medium recipe at MediaDive | Name: CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Agar 15.0 g/l K2HPO4 5.0 g/l Yeast extract 5.0 g/l D-Glucose 4.0 g/l Starch 1.0 g/l Maltose 1.0 g/l Cellobiose 1.0 g/l L-Cysteine HCl 0.5 g/l Ethanol 0.19 g/l Vitamin K3 0.05 g/l Hemin 0.005 g/l Sodium resazurin 0.0005 g/l Vitamin K1 NaOH Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 1360 | positive | growth | 37 | mesophilic |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68380 | 29016 ChEBI | arginine | - | hydrolysis | from API rID32A |
| 68380 | 16024 ChEBI | D-mannose | - | fermentation | from API rID32A |
| 68380 | 29985 ChEBI | L-glutamate | - | degradation | from API rID32A |
| 68380 | 17632 ChEBI | nitrate | - | reduction | from API rID32A |
| 68380 | 16634 ChEBI | raffinose | - | fermentation | from API rID32A |
| 68380 | 27897 ChEBI | tryptophan | - | energy source | from API rID32A |
| 68380 | 16199 ChEBI | urea | - | hydrolysis | from API rID32A |
| @ref | Chebi-ID | Metabolite | Production | |
|---|---|---|---|---|
| 68380 | 35581 ChEBI | indole | from API rID32A |
| @ref | Chebi-ID | Metabolite | Indole test | |
|---|---|---|---|---|
| 68380 | 35581 ChEBI | indole | - | 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 6-phosphate | - | from API rID32A | |
| 68380 | beta-glucosidase | - | 3.2.1.21 | from API rID32A |
| 68380 | beta-glucuronidase | - | 3.2.1.31 | from API rID32A |
| 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 | |
| 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 | tryptophan deaminase | - | 4.1.99.1 | from API rID32A |
| 68380 | tyrosine arylamidase | - | from API rID32A | |
| 68380 | urease | - | 3.5.1.5 | from API rID32A |
| @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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1360 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| 1360 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| 1360 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| 1360 | - | - | not determinedn.d. | + | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| 1360 | Sample typehuman faeces |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 87.00 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 81.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 78.50 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | anaerobe | 90.00 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 80.48 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 90.89 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 52.71 | no |
| 125438 | aerobic | aerobicⓘ | no | 97.12 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 95.48 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 76.91 | no |
| Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|
| In vitro investigations on the impact of fermented dairy constituents on fecal microbiota composition and fermentation activity. | Li Q, Marietou A, Andersen FF, Hosek J, Scavenius C, Zhang J, Schwab C. | Microbiol Spectr | 10.1128/spectrum.02193-24 | 2025 | |
| Gorse (Ulex europeaus) wastes with 5,6-dimethyl benzimidazole supplementation can support growth of vitamin B12 producing commensal gut microbes. | Iyer A, Soto Martin EC, Cameron GA, Louis P, Duncan SH, Bestwick CS, Russell WR. | PLoS One | 10.1371/journal.pone.0290052 | 2024 | |
| Ecology- and genome-based identification of the Bifidobacterium adolescentis prototype of the healthy human gut microbiota. | Argentini C, Lugli GA, Tarracchini C, Fontana F, Mancabelli L, Viappiani A, Anzalone R, Angelini L, Alessandri G, Bianchi MG, Taurino G, Bussolati O, Milani C, van Sinderen D, Turroni F, Ventura M. | Appl Environ Microbiol | 10.1128/aem.02014-23 | 2024 | |
| Roles of human colonic bacteria in pectin utilization and associated cross-feeding networks revealed using synthetic co-cultures. | Solvang M, Farquharson FM, Horgan G, Pisano S, Holck J, Zeuner B, Russell WR, Louis P. | Microbiology (Reading) | 10.1099/mic.0.001559 | 2025 | |
| Mucin-driven ecological interactions in an in vitro synthetic community of human gut microbes. | Berkhout MD, Ioannou A, de Ram C, Boeren S, Plugge CM, Belzer C. | Glycobiology | 10.1093/glycob/cwae085 | 2024 | |
| Butyrate producers, "The Sentinel of Gut": Their intestinal significance with and beyond butyrate, and prospective use as microbial therapeutics. | Singh V, Lee G, Son H, Koh H, Kim ES, Unno T, Shin JH. | Front Microbiol | 10.3389/fmicb.2022.1103836 | 2022 | |
| A Platform for Co-Culture of Primary Human Colonic Epithelium With Anaerobic Probiotic Bacteria. | Kim R, Wang Y, Sims CE, Allbritton NL. | Front Bioeng Biotechnol | 10.3389/fbioe.2022.890396 | 2022 | |
| Determination of Butyrate Synthesis Capacity in Gut Microbiota: Quantification of but Gene Abundance by qPCR in Fecal Samples. | Daskova N, Heczkova M, Modos I, Videnska P, Splichalova P, Pelantova H, Kuzma M, Gojda J, Cahova M. | Biomolecules | 10.3390/biom11091303 | 2021 | |
| Prevalent Human Gut Bacteria Hydrolyse and Metabolise Important Food-Derived Mycotoxins and Masked Mycotoxins. | Daud N, Currie V, Duncan G, Farquharson F, Yoshinari T, Louis P, Gratz S. | Toxins (Basel) | 10.3390/toxins12100654 | 2020 | |
| How microbial glycosyl hydrolase activity in the gut mucosa initiates microbial cross-feeding. | Berkhout MD, Plugge CM, Belzer C. | Glycobiology | 10.1093/glycob/cwab105 | 2022 | |
| Insights Into the Resistome of Bovine Clinical Mastitis Microbiome, a Key Factor in Disease Complication. | Hoque MN, Istiaq A, Clement RA, Gibson KM, Saha O, Islam OK, Abir RA, Sultana M, Siddiki AZ, Crandall KA, Hossain MA. | Front Microbiol | 10.3389/fmicb.2020.00860 | 2020 | |
| Protection against fibrosis by a bacterial consortium in metabolic dysfunction-associated steatohepatitis and the role of amino acid metabolism. | Kwan SY, Gonzales KA, Jamal MA, Stevenson HL, Tan L, Lorenzi PL, Futreal PA, Hawk ET, McCormick JB, Fisher-Hoch SP, Jenq RR, Beretta L. | Gut Microbes | 10.1080/19490976.2024.2399260 | 2024 | |
| Genomic mechanisms underlying the adaptation of Anaerobutyricum species to the human host. | Gu C, Wang D, Han K, Li J, Chen L, Zhuang Q, Yao T, Wei H, Yue J, Hua M, Chen C. | Infect Genet Evol | 10.1016/j.meegid.2025.105844 | 2025 | |
| The impact of Bifidobacterium longum CCFM1112 on chronic constipation: a randomised, double-blind, placebo-controlled study. | Liu W, Wang J, Xue Y, Li J, Huang Y, Zhu S, Wang L, Wang G, Chen W, Zhao J. | Benef Microbes | 10.1163/18762891-bja00085 | 2025 | |
| Reproducing in vitro artificial gut microbiota using glycerol stocks of fecal cultures combined with different prebiotic additives. | Sasaki K, Takeshima Y, Fujino A. | J Biosci Bioeng | 10.1016/j.jbiosc.2025.06.002 | 2025 | |
| Galacto-Oligosaccharides Exert Bifidogenic Effects at Capsule-Compatible Ultra-Low Doses. | Harthoorn LF, Heyse J, Baudot A, van Hengel IAJ, Van den Abbeele P. | Metabolites | 10.3390/metabo15080530 | 2025 | |
| Megasphaera contributes to lactate-driven valerate production in the human gut. | Huertas-Diaz L, Gezer ME, Marietou A, Hosek J, Thams L, Dalgaard LB, Hansen M, Schwab C. | Microbiome | 10.1186/s40168-025-02207-6 | 2025 | |
| Effects of Italian Mediterranean Organic Diet on the Gut Microbiota: A Pilot Comparative Study with Conventional Products and Free Diet. | Di Renzo L, Frank G, Pala B, Cianci R, La Placa G, Raffaelli G, Palma R, Peluso D, De Lorenzo A, Gualtieri P, On Behalf Of Clinical Nutrition And Nutrigenomics Project Group. | Microorganisms | 10.3390/microorganisms13071694 | 2025 | |
| Association between gut microbiota composition and physical functioning in patients with knee osteoarthritis: a machine learning study. | de Sire A, Mancuso E, Marotta N, Massimino M, Zito R, Averta C, Bartalotta I, Palummo A, Cerantonio A, Citrigno L, Soverini M, Castagnetti A, Mannino GC, Ammendolia A, Andreozzi F. | Sci Rep | 10.1038/s41598-025-24500-y | 2025 | |
| Probiotic Engraftment of Akkermansia muciniphila in an In Vitro Synthetic Microbial Community. | Berkhout MD, de Ram C, Boeren S, Plugge CM, Belzer C. | Microb Ecol | 10.1007/s00248-025-02605-1 | 2025 | |
| Functional Muffins Exert Bifidogenic Effects along with Highly Product-Specific Effects on the Human Gut Microbiota Ex Vivo. | Deyaert S, Poppe J, Dai Vu L, Baudot A, Bubeck S, Bayne T, Krishnan K, Giusto M, Moltz S, Van den Abbeele P. | Metabolites | 10.3390/metabo14090497 | 2024 | |
| Multi-cohort analysis unveils novel microbial targets for the treatment of hyperuricemia and gout. | Qie J, Cao M, Xu M, Zhang Y, Luo L, Sun C, Ke D, Yuan S, Jia W, Qiu T, Li T, Du X, Xiao C, Hong Z, Zhang B. | mSystems | 10.1128/msystems.01091-25 | 2025 | |
| The Probiotic Strain Clostridium butyricum TO-A Produces Butyrate by Utilizing Lactate and Acetate. | Honda S, Eguchi H, Okino Y, Wang DS. | Int J Mol Sci | 10.3390/ijms26072951 | 2025 | |
| Changes in the intestinal microbiota of broiler chicken induced by dietary supplementation of the diatomite-bentonite mixture. | Wesierska E, Micek P, Adamski MG, Gondek K, Lis M, Trela M, Wojtysiak D, Kowal J, Wyrobisz-Papiewska A, Kunstman G, Mosiolek S, Smoron K. | BMC Vet Res | 10.1186/s12917-024-04439-4 | 2025 | |
| Gut microbiota associated with equol production in school-age children. | Wada K, Suda W, Ueno T, Masuoka H, Yamakawa M, Nakashima Y, Sugino M, Mori T, Uchiyama S, Sumoto Y, Kiguchi Y, Hattori M, Nagata C. | Eur J Nutr | 10.1007/s00394-025-03625-w | 2025 | |
| Fostering next-generation probiotics in human gut by targeted dietary modulation: An emerging perspective | Kumari M, Singh P, Nataraj BH, Kokkiligadda A, Naithani H, Azmal Ali S, Behare PV, Nagpal R. | Food Res Int | 2021 | ||
| Gut microbiota and diabetic neuropathy/peripheral artery disease: A two-sample Mendelian randomization study investigating risk factors for diabetic foot ulcers. | Tang G, Wang Y, Wu J, Zhu R, Guo H, Zhang Y, Chen Z. | Medicine (Baltimore) | 10.1097/md.0000000000043637 | 2025 | |
| L-Citrulline Improves Recovery of Enterocytes While Not Affecting Gut Microbiota in an In Vitro Model of Chemotherapy-Induced Gastrointestinal Mucositis. | van der Laan W, Gallardo Molina PA, Koonen DPY, Harmsen HJM, Tissing WJE. | Biomedicines | 10.3390/biomedicines13092244 | 2025 | |
| 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 | |
| Impact of manipulation of glycerol/diol dehydratase activity on intestinal microbiota ecology and metabolism. | Ramirez Garcia A, Zhang J, Greppi A, Constancias F, Wortmann E, Wandres M, Hurley K, Pascual-Garcia A, Ruscheweyh HJ, Sturla SJ, Lacroix C, Schwab C. | Environ Microbiol | 10.1111/1462-2920.15431 | 2021 | |
| Steatotic Liver Disease in Younger Adults is Associated With Altered Gut Microbiology. | Tashkent Y, Choo JM, Richard A, Wang Z, Calzadilla-Bertot L, Vasil E, Miller S, Taylor SL, Ivey KL, Woodman R, Adler B, Ayonrinde OT, Olynyk JK, Beilin LJ, Mori TA, Wigg AJ, Muller KR, Adams LA, Rogers GB. | Liver Int | 10.1111/liv.70032 | 2025 | |
| Fostering next-generation probiotics in human gut by targeted dietary modulation: An emerging perspective. | Kumari M, Singh P, Nataraj BH, Kokkiligadda A, Naithani H, Azmal Ali S, Behare PV, Nagpal R. | Food Res Int | 10.1016/j.foodres.2021.110716 | 2021 | |
| Metatranscriptomic analysis indicates prebiotic effect of isomalto/malto-polysaccharides on human colonic microbiota in-vitro. | Borewicz K, Hornung B, Gu F, van der Zaal PH, Schols HA, Schaap PJ, Smidt H. | Sci Rep | 10.1038/s41598-024-69685-w | 2024 | |
| A Long-Chain Dextran Produced by Weissella cibaria Boosts the Diversity of Health-Related Gut Microbes Ex Vivo. | Tintore M, Cune J, Vu LD, Poppe J, Van den Abbeele P, Baudot A, de Lecea C. | Biology (Basel) | 10.3390/biology13010051 | 2024 | |
| Rational Design of Live Biotherapeutic Products for the Prevention of Clostridioides difficile Infection. | Ke S, Villafuerte Galvez JA, Sun Z, Cao Y, Pollock NR, Chen X, Kelly CP, Liu YY. | J Infect Dis | 10.1093/infdis/jiae470 | 2025 | |
| A Microphysiological System with an Anaerobic Air-Liquid Interface and Functional Mucus Layer for Coculture of Intestinal Bacteria and Primary Human Colonic Epithelium. | Kim R, Allbritton NL. | Adv Mater Interfaces | 10.1002/admi.202400093 | 2024 | |
| Emerging probiotics: future therapeutics for human gut health. | Duncan SH, Sabater C. | FEMS Microbiol Ecol | 10.1093/femsec/fiaf077 | 2025 | |
| Nisin-like biosynthetic gene clusters are widely distributed across microbiomes. | Hourigan D, Field D, Murray E, Sugrue I, O'Connor PM, Hill C, Ross RP. | mBio | 10.1128/mbio.01545-25 | 2025 | |
| Similar bacterial signatures in the gut microbiota of type 1 and type 2 diabetes patients and its association with G protein-coupled receptor 41 and 43 gene expression. | Demirci M, Taner Z, Keskin FE, Ozyazar M, Kiraz N, Kocazeybek BS, Tokman HB. | J Diabetes Metab Disord | 10.1007/s40200-022-01068-2 | 2022 | |
| The Bifidogenic Effect of 2'Fucosyllactose Is Driven by Age-Specific Bifidobacterium Species, Demonstrating Age as an Important Factor for Gut Microbiome Targeted Precision Medicine. | Firrman J, Deyaert S, Mahalak KK, Liu L, Baudot A, Joossens M, Poppe J, Cameron SJS, Van den Abbeele P. | Nutrients | 10.3390/nu17010151 | 2024 | |
| Associations of gut microbiota with disease development, disease activity, and therapeutic effects in patients with systemic lupus erythematosus. | Nishio J, Sato H, Watanabe E, Masuoka H, Aoki K, Kawazoe M, Wakiya R, Yamada S, Muraoka S, Masuoka S, Hayashi T, Mizutani S, Yamada Z, Koshiba K, Irita I, Kanaji M, Furukawa K, Yajima N, Dobashi H, Hirose W, Ishii Y, Suda W, Nanki T. | Sci Rep | 10.1038/s41598-024-83835-0 | 2024 | |
| 2'-Fucosyllactose helps butyrate producers outgrow competitors in infant gut microbiota simulations. | Versluis DM, Schoemaker R, Looijesteijn E, Geurts JMW, Merks RMH. | iScience | 10.1016/j.isci.2024.109085 | 2024 | |
| Related differences in fecal bacteria of Chinese northern pregnant women of different ages: associations with maternal clinical indicators and neonatal outcomes. | Hu F, Liu G, Sun X, Su Y, Huang M. | Front Microbiol | 10.3389/fmicb.2025.1642516 | 2025 | |
| HMOs Impact the Gut Microbiome of Children and Adults Starting from Low Predicted Daily Doses. | Bajic D, Wiens F, Wintergerst E, Deyaert S, Baudot A, Abbeele PVD. | Metabolites | 10.3390/metabo14040239 | 2024 | |
| Changes in the gut microbiome of older adults according to hypertension control. | Valdez-Palomares F, Texis T, Sanchez-Garcia S, Martinez-Ezquerro JD, la Torre PG, Rodriguez-Dorantes M, Genis-Mendoza A, Fabela S, Palacios-Gonzalez B, Gonzalez-Covarrubias V. | Front Microbiol | 10.3389/fmicb.2025.1605271 | 2025 | |
| HMOs Exert Marked Bifidogenic Effects on Children's Gut Microbiota Ex Vivo, Due to Age-Related Bifidobacterium Species Composition. | Bajic D, Wiens F, Wintergerst E, Deyaert S, Baudot A, Van den Abbeele P. | Nutrients | 10.3390/nu15071701 | 2023 | |
| Effect of a Novel Food Rich in Miraculin on the Intestinal Microbiome of Malnourished Patients with Cancer and Dysgeusia. | Plaza-Diaz J, Brandimonte-Hernandez M, Lopez-Plaza B, Ruiz-Ojeda FJ, Alvarez-Mercado AI, Arcos-Castellanos L, Feliu-Batlle J, Hummel T, Palma-Milla S, Gil A. | Nutrients | 10.3390/nu17020246 | 2025 | |
| Bridging preclinical and clinical gut microbiota research using the ex vivo SIFR® technology. | Van den Abbeele P, Deyaert S, Thabuis C, Perreau C, Bajic D, Wintergerst E, Joossens M, Firrman J, Walsh D, Baudot A. | Front Microbiol | 10.3389/fmicb.2023.1131662 | 2023 | |
| Plasma TMAO Concentrations and Gut Microbiota Composition in Subjects with and Without Metabolic Syndrome: Results from Pilot Study. | Hefni ME, Witthoft CM, Hellstrom P, Johansson I, Esberg A. | Metabolites | 10.3390/metabo15060364 | 2025 | |
| Abnormal blood microbiota profiles are associated with inflammation and immune restoration in HIV/AIDS individuals. | Guo X, Wang Z, Qu M, Guo Y, Yu M, Hong W, Zhang C, Fan X, Song J, Xu R, Zhang J, Huang H, Linghu E, Wang F-S, Sun L, Jiao Y-M. | mSystems | 10.1128/msystems.00467-23 | 2023 | |
| Effect of Postbiotic Bifidobacterium longum CECT 7347 on Gastrointestinal Symptoms, Serum Biochemistry, and Intestinal Microbiota in Healthy Adults: A Randomised, Parallel, Double-Blind, Placebo-Controlled Pilot Study. | Naghibi M, Pont-Beltran A, Lamelas A, Llobregat L, Martinez-Blanch JF, Rojas A, Alvarez B, Lopez Plaza B, Arcos Castellanos L, Chenoll E, Vijayakumar V, Day R. | Nutrients | 10.3390/nu16223952 | 2024 | |
| Disease-associated microbiome signature species in the gut. | Li J, Li J, O'Toole PW. | PNAS Nexus | 10.1093/pnasnexus/pgae352 | 2024 | |
| The Gut Microbiome Obesity Index: A New Analytical Tool in the Metagenomics Workflow for the Evaluation of Gut Dysbiosis in Obese Humans. | Kulecka M, Jaworski P, Zeber-Lubecka N, Balabas A, Piatkowska M, Czarnowski P, Fraczek B, Tarnowski W, Mikula M, Ostrowski J. | Nutrients | 10.3390/nu17142320 | 2025 | |
| Carrot RG-I Reduces Interindividual Differences between 24 Adults through Consistent Effects on Gut Microbiota Composition and Function Ex Vivo. | Van den Abbeele P, Deyaert S, Albers R, Baudot A, Mercenier A. | Nutrients | 10.3390/nu15092090 | 2023 | |
| Walnut kernel pellicle polyphenols: subcritical water extraction, digestive characteristics, and their effect on gut microbiota and metabolites. | Yuan X, Feng Q, Wang Q, Wang T, Qiao Z, Pan H, Zhong Y, Zhuang Y. | Food Chem X | 10.1016/j.fochx.2025.103020 | 2025 | |
| The Association of Short-Chain Fatty Acids with the Occurrence of Gastrointestinal Symptoms in Infants. | Szczuko M, Duliban G, Drozd A, Sochaczewska D, Pokorska-Niewiada K, Zietek M. | Int J Mol Sci | 10.3390/ijms252312487 | 2024 | |
| Geographic patterns of antibiotic resistance in the human gut microbiome: insights from metagenome-assembled genomes across four Chinese provinces. | Zhou S, Liu H, Bai X, Li D, Wang T, Zhong H, Gao W, Sun J. | Front Microbiol | 10.3389/fmicb.2025.1652757 | 2025 | |
| Effects of removing in-feed antibiotics and zinc oxide on the taxonomy and functionality of the microbiota in post weaning pigs. | Ortiz Sanjuan JM, Arguello H, Cabrera-Rubio R, Crispie F, Cotter PD, Garrido JJ, Ekhlas D, Burgess CM, Manzanilla EG. | Anim Microbiome | 10.1186/s42523-024-00306-7 | 2024 | |
| Multi-kingdom microbial signatures in excess body weight colorectal cancer based on global metagenomic analysis. | Zhu X, Xu P, Zhu R, Gao W, Yin W, Lan P, Zhu L, Jiao N. | Commun Biol | 10.1038/s42003-023-05714-0 | 2024 | |
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| #1360 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 3353 |
| #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 ) |
| #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) . |
| #68380 | Automatically annotated from API rID32A . |
| #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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