Mitsuokella multacida A 405-1 is an anaerobe, Gram-negative, rod-shaped bacterium that was isolated from human faeces.
Gram-negative rod-shaped anaerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Negativicutes |
| Order Selenomonadales |
| Family Selenomonadaceae |
| Genus Mitsuokella |
| Species Mitsuokella multacida |
| Full scientific name Mitsuokella multacida corrig. (Mitsuoka et al. 1974) Shah and Collins 1983 |
| Synonyms (2) |
| BacDive ID | Other strains from Mitsuokella multacida (1) | Type strain |
|---|---|---|
| 162954 | M. multacida JCM 2055, ATCC 27724, NCTC 10935 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 8773 | 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 | ||
| 39892 | MEDIUM 137 - for Ruminococcus hansenii and Rarobacter incanus | Distilled water make up to (940.000 ml);Glucose (5.000 g);Yeast extract(10.000 g);Peptone (5.000 g);Resazurin (1.000 mg);Tween 80 (1.000 ml);Tryptone (5.000g);Beef extract (5.000 g);Cysteine hydrochloride (0.500 g);Di Potassium monohydrogenophosphate (2.0 | |||
| 8773 | 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 | ||
| 8773 | FASTIDIOUS ANAEROBE BROTH (DSMZ Medium 1203a) | Medium recipe at MediaDive | Name: FASTIDIOUS ANAEROBE BROTH (DSMZ Medium 1203a) Composition: Fastidious Anaerobe Basal Broth 35.4 g/l Deionized water | ||
| 121172 | CIP Medium 137 | Medium recipe at CIP |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 95.924 |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68380 | 29016 ChEBI | arginine | - | hydrolysis | from API rID32A |
| 121172 | 17057 ChEBI | cellobiose | +/- | degradation | |
| 121172 | 17108 ChEBI | D-arabinose | +/- | degradation | |
| 121172 | 15824 ChEBI | D-fructose | +/- | degradation | |
| 121172 | 17634 ChEBI | D-glucose | +/- | degradation | |
| 68380 | 16024 ChEBI | D-mannose | - | fermentation | from API rID32A |
| 121172 | 65327 ChEBI | D-xylose | +/- | degradation | |
| 121172 | 4853 ChEBI | esculin | + | hydrolysis | |
| 68380 | 29985 ChEBI | L-glutamate | - | degradation | from API rID32A |
| 121172 | 17716 ChEBI | lactose | +/- | degradation | |
| 121172 | 17306 ChEBI | maltose | +/- | degradation | |
| 68380 | 17632 ChEBI | nitrate | + | reduction | from API rID32A |
| 121172 | 17632 ChEBI | nitrate | + | reduction | |
| 121172 | 17632 ChEBI | nitrate | + | respiration | |
| 121172 | 16301 ChEBI | nitrite | - | reduction | |
| 68380 | 16634 ChEBI | raffinose | + | fermentation | from API rID32A |
| 121172 | 17814 ChEBI | salicin | +/- | degradation | |
| 121172 | 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 |
| 121172 | amylase | - | ||
| 68380 | arginine dihydrolase | - | 3.5.3.6 | from API rID32A |
| 68382 | beta-galactosidase | + | 3.2.1.23 | from API zym |
| 121172 | 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 |
| 121172 | catalase | - | 1.11.1.6 | |
| 68382 | cystine arylamidase | - | 3.4.11.3 | from API zym |
| 121172 | DNase | - | ||
| 68382 | esterase (C 4) | - | from API zym | |
| 68382 | esterase lipase (C 8) | - | from API zym | |
| 121172 | 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 | |
| 121172 | lecithinase | - | ||
| 68382 | leucine arylamidase | - | 3.4.11.1 | from API zym |
| 68380 | leucine arylamidase | - | 3.4.11.1 | from API rID32A |
| 68380 | leucyl glycin arylamidase | - | 3.4.11.1 | from API rID32A |
| 121172 | 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 | |
| 121172 | oxidase | - | ||
| 68380 | phenylalanine arylamidase | - | from API rID32A | |
| 68380 | proline-arylamidase | - | 3.4.11.5 | from API rID32A |
| 121172 | protease | - | ||
| 68380 | pyrrolidonyl arylamidase | - | 3.4.19.3 | from API rID32A |
| 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 |
| 121172 | tween esterase | - | ||
| 68380 | tyrosine arylamidase | - | from API rID32A | |
| 121172 | urease | - | 3.5.1.5 | |
| 68380 | urease | - | 3.5.1.5 | from API rID32A |
| 68382 | valine arylamidase | - | from API zym |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Human | - | |
| #Host Body Product | #Gastrointestinal tract | #Feces (Stool) |
Global distribution of 16S sequence LC036321 (>99% sequence identity) for Mitsuokella multacida subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 124043 | ASM5186077v1 assembly for Mitsuokella multacida DSM 20544 | complete | 52226 | 99 | ||||
| 67770 | ASM15595v1 assembly for Mitsuokella multacida DSM 20544 | scaffold | 500635 | 73.59 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate anaerobe | 99.51 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 50.65 | no |
| 125439 | motility | BacteriaNetⓘ | no | 66.99 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 95.92 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 87.68 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 89.51 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 76.56 | no |
| 125438 | aerobic | aerobicⓘ | no | 91.73 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 93.58 | no |
| 125438 | flagellated | motile2+ⓘ | no | 78.06 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
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| Effects of feed intake on the diversity and population density of homoacetogens in the large intestine of pigs. | Matsui H, Mimura A, Maekawa S, Ban-Tokuda T. | Asian-Australas J Anim Sci | 10.5713/ajas.18.0512 | 2019 | ||
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| Phylogeny | DNA Phosphorothioate Modifications Are Widely Distributed in the Human Microbiome. | Sun Y, Kong L, Wu G, Cao B, Pang X, Deng Z, Dedon PC, Zhang C, You D. | Biomolecules | 10.3390/biom10081175 | 2020 | |
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| Veillonella, Firmicutes: Microbes disguised as Gram negatives. | Vesth T, Ozen A, Andersen SC, Kaas RS, Lukjancenko O, Bohlin J, Nookaew I, Wassenaar TM, Ussery DW. | Stand Genomic Sci | 10.4056/sigs.2981345 | 2013 | ||
| Genetics | Genomic Analysis of the Human Gut Microbiome Suggests Novel Enzymes Involved in Quinone Biosynthesis. | Ravcheev DA, Thiele I. | Front Microbiol | 10.3389/fmicb.2016.00128 | 2016 | |
| Outer Membrane Proteome of Veillonella parvula: A Diderm Firmicute of the Human Microbiome. | Poppleton DI, Duchateau M, Hourdel V, Matondo M, Flechsler J, Klingl A, Beloin C, Gribaldo S. | Front Microbiol | 10.3389/fmicb.2017.01215 | 2017 | ||
| Functional Comparison of Bacteria from the Human Gut and Closely Related Non-Gut Bacteria Reveals the Importance of Conjugation and a Paucity of Motility and Chemotaxis Functions in the Gut Environment. | Dobrijevic D, Abraham AL, Jamet A, Maguin E, van de Guchte M. | PLoS One | 10.1371/journal.pone.0159030 | 2016 | ||
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| Bioinformatic characterization of the trimeric intracellular cation-specific channel protein family. | Silverio AL, Saier MH. | J Membr Biol | 10.1007/s00232-011-9364-8 | 2011 | ||
| Functional properties of insoluble dietary fibers extracted from different grape pomaces during simulated digestion and in vitro fermentation. | Wang G, Ren X, Liu J, Wang W, Zhang C, Yuan C, Li J. | Food Funct | 10.1039/d4fo06074a | 2025 | ||
| Intermittent MDMA Attenuates Ovariectomy-induced Bone Loss via a Gut Microbiota-Bone Axis. | Wan X, Eguchi A, Murayama R, Mori C, Hashimoto K. | Clin Psychopharmacol Neurosci | 10.9758/cpn.25.1309 | 2025 | ||
| Genetics | The microbiome of marine sponges located on the Saudi Arabia coast of the Red sea using high-throughput 16S amplicon sequencing. | Abuzahrah SS. | AMB Express | 10.1186/s13568-025-01951-0 | 2025 | |
| Comparison of the gut microbiota in older people with and without sarcopenia: a systematic review and meta-analysis. | Ren Y, He X, Wang L, Chen N. | Front Cell Infect Microbiol | 10.3389/fcimb.2025.1480293 | 2025 | ||
| Unveiling community structure, antimicrobial resistance, and virulence factor of a wastewater sample of dairy farm located in mayurbhanj, odisha, India. | Satpathy SS, Pradhan D. | Sci Rep | 10.1038/s41598-025-16864-y | 2025 | ||
| Characterizing serum amino acids in schizophrenic patients: Correlations with gut microbes. | Ma Q, Gao F, Zhou L, Fan Y, Zhao B, Xi W, Wang C, Zhu F, Ma X, Wang W, Wang Y. | J Psychiatr Res | 10.1016/j.jpsychires.2022.07.006 | 2022 | ||
| Genetics | Structural and functional characterization of gut microbiota in dyslipidemic patients from high-altitude Tibetan pastoral areas. | Chen J, Luo Y, Hao Y, Wang Q, Wang Q. | Front Nutr | 10.3389/fnut.2025.1676238 | 2025 | |
| Pathogenicity | Altered ruminal microbiome tryptophan metabolism and their derived 3-indoleacetic acid inhibit ruminal inflammation in subacute ruminal acidosis goats. | Chen X, Xu J, Zhang L, Xie B, Ren J, He J, Liu T, Liu Q, Dong Y, He X, Yao J, Wu S. | Microbiome | 10.1186/s40168-025-02202-x | 2025 | |
| Impact of occupational pesticide exposure on the human gut microbiome. | Gois MFB, Fernandez-Pato A, Huss A, Gacesa R, Wijmenga C, Weersma RK, Fu J, Vermeulen RCH, Zhernakova A, Lenters VC, Kurilshikov A. | Front Microbiol | 10.3389/fmicb.2023.1223120 | 2023 | ||
| Metagenomic sequencing identified microbial species in the rumen and cecum microbiome responsible for niacin treatment and related to intramuscular fat content in finishing cattle. | Yang Z, Chen X, Yu M, Jing R, Bao L, Zhao X, Pan K, Chao B, Qu M. | Front Microbiol | 10.3389/fmicb.2024.1334068 | 2024 | ||
| Effects of dietary supplementation of myristic acid on jejunal mucosa-associated microbiota, mucosal immunity, and growth performance of nursery pigs. | Choi H, Rocha GC, Kim SW. | Anim Sci J | 10.1111/asj.70027 | 2025 | ||
| Gut Microbial Signatures for Glycemic Responses of GLP-1 Receptor Agonists in Type 2 Diabetic Patients: A Pilot Study. | Tsai CY, Lu HC, Chou YH, Liu PY, Chen HY, Huang MC, Lin CH, Tsai CN. | Front Endocrinol (Lausanne) | 10.3389/fendo.2021.814770 | 2021 | ||
| Genetics | Aggravated Gut Microbiota and Metabolomic Imbalances Are Associated with Hypertension Patients Comorbid with Atrial Fibrillation. | Fang C, Zuo K, Fu Y, Zhu X, Li J, Zhong J, Xu L, Yang X. | Biomolecules | 10.3390/biom12101445 | 2022 | |
| Genetics | Gut Metagenome Reveals the Microbiome Signatures in Tibetan and Black Pigs. | Bai X, Gu Y, Li D, Li M. | Animals (Basel) | 10.3390/ani15050753 | 2025 | |
| Significance of Mucosa-Associated Microbiota and Its Impacts on Intestinal Health of Pigs Challenged with F18+E. coli. | Duarte ME, Kim SW. | Pathogens | 10.3390/pathogens11050589 | 2022 | ||
| Diet and monensin influence the temporal dynamics of the rumen microbiome in stocker and finishing cattle. | Chai J, Weiss CP, Beck PA, Zhao W, Li Y, Zhao J. | J Anim Sci Biotechnol | 10.1186/s40104-023-00967-5 | 2024 | ||
| Pathogenicity | Virulence Factors of the Gut Microbiome Are Associated with BMI and Metabolic Blood Parameters in Children with Obesity. | Murga-Garrido SM, Ulloa-Perez EJ, Diaz-Benitez CE, Orbe-Orihuela YC, Cornejo-Granados F, Ochoa-Leyva A, Sanchez-Flores A, Cruz M, Castaneda-Marquez AC, Plett-Torres T, Burguete Garcia AI, Lagunas-Martinez A. | Microbiol Spectr | 10.1128/spectrum.03382-22 | 2023 | |
| Fucoxanthin-An Antibacterial Carotenoid. | Karpinski TM, Adamczak A. | Antioxidants (Basel) | 10.3390/antiox8080239 | 2019 | ||
| Pathogenicity | Responses in ileal and cecal bacteria to low and high amylose/amylopectin ratio diets in growing pigs. | Luo YH, Yang C, Wright AD, He J, Chen DW. | Appl Microbiol Biotechnol | 10.1007/s00253-015-6917-2 | 2015 | |
| Bifidobacterium as a Potential Biomarker of Sarcopenia in Elderly Women. | Wang Z, Xu X, Deji Y, Gao S, Wu C, Song Q, Shi Z, Xiang X, Zang J, Su J. | Nutrients | 10.3390/nu15051266 | 2023 | ||
| Characterizing the microbiota of cleft lip and palate patients: a comprehensive review. | Gershater E, Liu Y, Xue B, Shin MK, Koo H, Zheng Z, Li C. | Front Cell Infect Microbiol | 10.3389/fcimb.2023.1159455 | 2023 | ||
| A Single Faecal Microbiota Transplantation Altered the Microbiota of Weaned Pigs. | Nowland TL, Torok VA, Low WY, Plush KJ, Barton MD, Kirkwood RN. | Life (Basel) | 10.3390/life10090203 | 2020 | ||
| Bacteroides uniformis-generated hexadecanedioic acid ameliorates metabolic-associated fatty liver disease. | Zhang DY, Li D, Chen SJ, Zhang LJ, Zhu XL, Chen FD, Chen C, Wang Q, Du Y, Xiong JX, Huang SM, Zhang XD, Lv YT, Zeng F, Chen RX, Huang X, Mao F, Zhou S, Yao Q, Huang Y, Chen R, Mo Y, Xie Y, Jiang YH, Chen Z, Mo CY, Chen JJ, Bai FH. | Gut Microbes | 10.1080/19490976.2025.2508433 | 2025 | ||
| The Effects of Cardioprotective Antidiabetic Therapy on Microbiota in Patients with Type 2 Diabetes Mellitus-A Systematic Review. | Bica IC, Pietrosel VA, Salmen T, Diaconu CT, Fierbinteanu Braticevici C, Stoica RA, Suceveanu AI, Pantea Stoian A. | Int J Mol Sci | 10.3390/ijms24087184 | 2023 | ||
| Gut bacterial metabolism contributes to host global purine homeostasis. | Kasahara K, Kerby RL, Zhang Q, Pradhan M, Mehrabian M, Lusis AJ, Bergstrom G, Backhed F, Rey FE. | Cell Host Microbe | 10.1016/j.chom.2023.05.011 | 2023 | ||
| Examining the immunoepigenetic-gut microbiome axis in the context of self-esteem among Native Hawaiians and other Pacific Islanders. | Becerra CY, Wells RK, Kunihiro BP, Lee RH, Umeda L, Allan NP, Rubas NC, McCracken TA, Nunokawa CKL, Lee MH, Pidlaoan FGS, Phankitnirondorn K, Dye CK, Yamamoto BY, Peres R, Juarez R, Maunakea AK. | Front Genet | 10.3389/fgene.2023.1125217 | 2023 | ||
| Environmental, socioeconomic, and health factors associated with gut microbiome species and strains in isolated Honduras villages. | Shridhar SV, Beghini F, Alexander M, Singh A, Juarez RM, Brito IL, Christakis NA. | Cell Rep | 10.1016/j.celrep.2024.114442 | 2024 | ||
| Influence of structural features and feruloylation on fermentability and ability to modulate gut microbiota of arabinoxylan in in vitro fermentation. | Li Z, Zhang H, He L, Hou Y, Che Y, Liu T, Xiong S, Zhang X, Luo S, Liu C, Chen T. | Front Microbiol | 10.3389/fmicb.2022.1113601 | 2022 | ||
| What is the impact of microbiota on dry eye: a literature review of the gut-eye axis. | Song J, Dong H, Wang T, Yu H, Yu J, Ma S, Song X, Sun Q, Xu Y, Liu M. | BMC Ophthalmol | 10.1186/s12886-024-03526-2 | 2024 | ||
| Metabolism | Metagenome association study of the gut microbiome revealed biomarkers linked to chemotherapy outcomes in locally advanced and advanced lung cancer. | Zhao Z, Fei K, Bai H, Wang Z, Duan J, Wang J. | Thorac Cancer | 10.1111/1759-7714.13711 | 2021 | |
| Enzymology | Physical and genetic characterization of an outer-membrane protein (OmpM1) containing an N-terminal S-layer-like homology domain from the phylogenetically Gram-positive gut anaerobe Mitsuokella multacida. | Kalmokoff ML, Austin JW, Cyr TD, Hefford MA, Teather RM, Selinger LB. | Anaerobe | 10.1016/j.anaerobe.2009.01.001 | 2009 | |
| Genetics | Deep insights into the gut microbial community of extreme longevity in south Chinese centenarians by ultra-deep metagenomics and large-scale culturomics. | Li C, Luan Z, Zhao Y, Chen J, Yang Y, Wang C, Jing Y, Qi S, Li Z, Guo H, Xu W, Zhao B, Wu C, Wang S, Yang Y, Sun G. | NPJ Biofilms Microbiomes | 10.1038/s41522-022-00282-3 | 2022 | |
| Alterations in the gut bacterial microbiome in fungal Keratitis patients. | Kalyana Chakravarthy S, Jayasudha R, Ranjith K, Dutta A, Pinna NK, Mande SS, Sharma S, Garg P, Murthy SI, Shivaji S. | PLoS One | 10.1371/journal.pone.0199640 | 2018 | ||
| Apple Pomace and Performance, Intestinal Morphology and Microbiota of Weaned Piglets-A Weaning Strategy for Gut Health? | Dufourny S, Antoine N, Pitchugina E, Delcenserie V, Godbout S, Douny C, Scippo ML, Froidmont E, Rondia P, Wavreille J, Everaert N. | Microorganisms | 10.3390/microorganisms9030572 | 2021 | ||
| Metabolism | Structural analysis of a multifunctional, tandemly repeated inositol polyphosphatase. | Gruninger RJ, Selinger LB, Mosimann SC. | J Mol Biol | 10.1016/j.jmb.2009.05.079 | 2009 | |
| Metabolism | Dietary citrus pectin drives more ileal microbial protein metabolism and stronger fecal carbohydrate fermentation over fructo-oligosaccharide in growing pigs. | Zhang Y, Mu C, Liu S, Zhu W. | Anim Nutr | 10.1016/j.aninu.2022.08.005 | 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 | |
| Genetics | Metabolism in the Niche: a Large-Scale Genome-Based Survey Reveals Inositol Utilization To Be Widespread among Soil, Commensal, and Pathogenic Bacteria. | Weber M, Fuchs TM. | Microbiol Spectr | 10.1128/spectrum.02013-22 | 2022 | |
| Breast Cancer Survivors and Healthy Women: Could Gut Microbiota Make a Difference?-"BiotaCancerSurvivors": A Case-Control Study. | Caleca T, Ribeiro P, Vitorino M, Menezes M, Sampaio-Alves M, Mendes AD, Vicente R, Negreiros I, Faria A, Costa DA. | Cancers (Basel) | 10.3390/cancers15030594 | 2023 | ||
| Phylogeny | Modifications and optimization of manual methods for polymerase chain reaction and 16S rRNA gene sequencing quality community DNA extraction from goat rumen digesta. | Aphale D, Kulkarni A. | Vet World | 10.14202/vetworld.2018.990-1000 | 2018 | |
| Phytate metabolism is mediated by microbial cross-feeding in the gut microbiota. | De Vos WM, Nguyen Trung M, Davids M, Liu G, Rios-Morales M, Jessen H, Fiedler D, Nieuwdorp M, Bui TPN. | Nat Microbiol | 10.1038/s41564-024-01698-7 | 2024 | ||
| An untargeted fecal and urine metabolomics analysis of the interplay between the gut microbiome, diet and human metabolism in Indian and Chinese adults. | Jain A, Li XH, Chen WN. | Sci Rep | 10.1038/s41598-019-45640-y | 2019 | ||
| Enzymology | Bacterial PhyA protein-tyrosine phosphatase-like myo-inositol phosphatases in complex with the Ins(1,3,4,5)P4 and Ins(1,4,5)P3 second messengers. | Bruder LM, Gruninger RJ, Cleland CP, Mosimann SC. | J Biol Chem | 10.1074/jbc.m117.787853 | 2017 | |
| Oral Metallo-Beta-Lactamase Protects the Gut Microbiome From Carbapenem-Mediated Damage and Reduces Propagation of Antibiotic Resistance in Pigs. | Connelly S, Fanelli B, Hasan NA, Colwell RR, Kaleko M. | Front Microbiol | 10.3389/fmicb.2019.00101 | 2019 | ||
| Gluconic acid improves performance of newly weaned piglets associated with alterations in gut microbiome and fermentation. | Michiels J, Truffin D, Majdeddin M, Van Poucke M, Van Liefferinge E, Van Noten N, Vandaele M, Van Kerschaver C, Degroote J, Peelman L, Linder P. | Porcine Health Manag | 10.1186/s40813-023-00305-1 | 2023 | ||
| Parasite-Probiotic Interactions in the Gut: Bacillus sp. and Enterococcus faecium Regulate Type-2 Inflammatory Responses and Modify the Gut Microbiota of Pigs During Helminth Infection. | Myhill LJ, Stolzenbach S, Mejer H, Krych L, Jakobsen SR, Kot W, Skovgaard K, Canibe N, Nejsum P, Nielsen DS, Thamsborg SM, Williams AR. | Front Immunol | 10.3389/fimmu.2021.793260 | 2021 | ||
| Metabolism | Structural and biochemical analysis of a unique phosphatase from Bdellovibrio bacteriovorus reveals its structural and functional relationship with the protein tyrosine phosphatase class of phytase. | Gruninger RJ, Thibault J, Capeness MJ, Till R, Mosimann SC, Sockett RE, Selinger BL, Lovering AL. | PLoS One | 10.1371/journal.pone.0094403 | 2014 | |
| Functional dysbiosis within dental plaque microbiota in cleft lip and palate patients. | Funahashi K, Shiba T, Watanabe T, Muramoto K, Takeuchi Y, Ogawa T, Izumi Y, Sekizaki T, Nakagawa I, Moriyama K. | Prog Orthod | 10.1186/s40510-019-0265-1 | 2019 | ||
| Prevotella copri and microbiota members mediate the beneficial effects of a therapeutic food for malnutrition. | Chang HW, Lee EM, Wang Y, Zhou C, Pruss KM, Henrissat S, Chen RY, Kao C, Hibberd MC, Lynn HM, Webber DM, Crane M, Cheng J, Rodionov DA, Arzamasov AA, Castillo JJ, Couture G, Chen Y, Balcazo NP, Lebrilla CB, Terrapon N, Henrissat B, Ilkayeva O, Muehlbauer MJ, Newgard CB, Mostafa I, Das S, Mahfuz M, Osterman AL, Barratt MJ, Ahmed T, Gordon JI. | Nat Microbiol | 10.1038/s41564-024-01628-7 | 2024 | ||
| Populations of select cultured and uncultured bacteria in the rumen of sheep and the effect of diets and ruminal fractions. | Stiverson J, Morrison M, Yu Z. | Int J Microbiol | 10.1155/2011/750613 | 2011 | ||
| Pathogenicity | Efficacy of a Yeast Cell Wall Extract to Mitigate the Effect of Naturally Co-Occurring Mycotoxins Contaminating Feed Ingredients Fed to Young Pigs: Impact on Gut Health, Microbiome, and Growth. | Kim SW, Holanda DM, Gao X, Park I, Yiannikouris A. | Toxins (Basel) | 10.3390/toxins11110633 | 2019 | |
| Phylogeny | Temporal dynamics of the fecal microbiota in veal calves in a 6-month field trial. | Massot M, Haenni M, Nguyen TT, Madec JY, Mentre F, Denamur E. | Anim Microbiome | 10.1186/s42523-020-00052-6 | 2020 | |
| Pathogenicity | Insulin resistance is associated with specific gut microbiota in appendix samples from morbidly obese patients. | Moreno-Indias I, Sanchez-Alcoholado L, Garcia-Fuentes E, Cardona F, Queipo-Ortuno MI, Tinahones FJ. | Am J Transl Res | 2016 | ||
| Phylogeny | A prospective randomized, double-blind, placebo-controlled, dose-response relationship study to investigate efficacy of fructo-oligosaccharides (FOS) on human gut microflora. | Tandon D, Haque MM, Gote M, Jain M, Bhaduri A, Dubey AK, Mande SS. | Sci Rep | 10.1038/s41598-019-41837-3 | 2019 | |
| Phylogeny | Inclusion of chicory (Cichorium intybus L.) in pigs' diets affects the intestinal microenvironment and the gut microbiota. | Liu H, Ivarsson E, Dicksved J, Lundh T, Lindberg JE. | Appl Environ Microbiol | 10.1128/aem.07702-11 | 2012 | |
| Genetics | Microbial community development in a dynamic gut model is reproducible, colon region specific, and selective for Bacteroidetes and Clostridium cluster IX. | Van den Abbeele P, Grootaert C, Marzorati M, Possemiers S, Verstraete W, Gerard P, Rabot S, Bruneau A, El Aidy S, Derrien M, Zoetendal E, Kleerebezem M, Smidt H, Van de Wiele T. | Appl Environ Microbiol | 10.1128/aem.00759-10 | 2010 | |
| Enzymology | A type IV translocated Legionella cysteine phytase counteracts intracellular growth restriction by phytate. | Weber S, Stirnimann CU, Wieser M, Frey D, Meier R, Engelhardt S, Li X, Capitani G, Kammerer RA, Hilbi H. | J Biol Chem | 10.1074/jbc.m114.592568 | 2014 | |
| Metabolism | Cadaverine covalently linked to peptidoglycan is required for interaction between the peptidoglycan and the periplasm-exposed S-layer-homologous domain of major outer membrane protein Mep45 in Selenomonas ruminantium. | Kojima S, Ko KC, Takatsuka Y, Abe N, Kaneko J, Itoh Y, Kamio Y. | J Bacteriol | 10.1128/jb.00417-10 | 2010 | |
| Metabolism | Genetic diversity of hydrogen-producing bacteria in an acidophilic ethanol-H2-coproducing system, analyzed using the [Fe]-hydrogenase gene. | Xing D, Ren N, Rittmann BE. | Appl Environ Microbiol | 10.1128/aem.01946-07 | 2008 | |
| Monitoring and source tracking of tetracycline resistance genes in lagoons and groundwater adjacent to swine production facilities over a 3-year period. | Koike S, Krapac IG, Oliver HD, Yannarell AC, Chee-Sanford JC, Aminov RI, Mackie RI. | Appl Environ Microbiol | 10.1128/aem.00665-07 | 2007 | ||
| Phylogeny | Culture-independent analysis of gut bacteria: the pig gastrointestinal tract microbiota revisited. | Leser TD, Amenuvor JZ, Jensen TK, Lindecrona RH, Boye M, Moller K. | Appl Environ Microbiol | 10.1128/aem.68.2.673-690.2002 | 2002 | |
| Phylogeny | Mitsuokella jalaludinii sp. nov., from the rumens of cattle in Malaysia. | Lan GQ, Ho YW, Abdullah N | Int J Syst Evol Microbiol | 10.1099/00207713-52-3-713 | 2002 |
| #8773 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20544 |
| #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 ) |
| #39892 | ; Curators of the CIP; |
| #47265 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 21055 |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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 . |
| #121172 | Collection of Institut Pasteur ; Curators of the CIP; CIP 107116 |
| #124043 | Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy . |
| #125438 | Julia Koblitz, Lorenz Christian Reimer, Rüdiger Pukall, Jörg Overmann: Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets. 2024 ( DOI 10.1101/2024.08.12.607695 ) |
| #125439 | Philipp Münch, René Mreches, Martin Binder, Hüseyin Anil Gündüz, Xiao-Yin To, Alice McHardy: deepG: Deep Learning for Genome Sequence Data. R package version 0.3.1 . |
| #126262 | A. Lissin, I. Schober, J. F. Witte, H. Lüken, A. Podstawka, J. Koblitz, B. Bunk, P. Dawyndt, P. Vandamme, P. de Vos, J. Overmann, L. C. Reimer: StrainInfo—the central database for linked microbial strain identifiers. ( DOI 10.1093/database/baaf059 ) |
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BacDive in 2025: the core database for prokaryotic strain data