Amedibacterium intestinale 9CBEGH2 is a mesophilic prokaryote that was isolated from human feces.
mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Bacillati |
| Phylum Bacillota |
| Class Erysipelotrichia |
| Order Erysipelotrichales |
| Family Erysipelotrichaceae |
| Genus Amedibacterium |
| Species Amedibacterium intestinale |
| Full scientific name Amedibacterium intestinale Ikeyama et al. 2020 |
| Synonyms (1) |
| BacDive ID | Other strains from Amedibacterium intestinale (5) | Type strain |
|---|---|---|
| 163897 | A. intestinale JCM 30883, KCTC 15421 | |
| 163898 | A. intestinale JCM 30884, KCTC 15422 | |
| 164646 | A. intestinale JCM 33779 | |
| 164647 | A. intestinale JCM 33780 | |
| 164648 | A. intestinale JCM 33781 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 66911 | 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 |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | facultative anaerobe | 95.6 |
Global distribution of 16S sequence LC509015 (>99% sequence identity) for Erysipelotrichaceae from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM1053733v1 assembly for Amedibacterium intestinale 9CBEGH2 | complete | 2583452 | 97.55 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 66911 | Amedibacterium intestinale 9CBEGH2 gene for 16S ribosomal RNA, partial sequence | LC509015 | 1482 | 2583452 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 67770 | 33.9 | genome sequence analysis |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 89.10 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 84.00 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 76.00 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 95.60 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 83.79 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 79.57 | no |
| 125438 | aerobic | aerobicⓘ | no | 97.59 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 66.98 | no |
| 125438 | thermophilic | thermophileⓘ | no | 92.85 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 85.47 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Amedibacterium intestinale gen. nov., sp. nov., isolated from human faeces, and reclassification of Eubacterium dolichum Moore et al. 1976 (Approved Lists 1980) as Amedibacillus dolichus gen. nov., comb. nov. | Ikeyama N, Toyoda A, Morohoshi S, Kunihiro T, Murakami T, Mori H, Iino T, Ohkuma M, Sakamoto M | Int J Syst Evol Microbiol | 10.1099/ijsem.0.004215 | 2020 |
| #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 ) |
| #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) . |
| #66911 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 110575 |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive160007.20251217.10
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BacDive in 2025: the core database for prokaryotic strain data