Megamonas funiformis DSM 103915 is a bacterium that was isolated from stool sample.
genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Negativicutes |
| Order Selenomonadales |
| Family Selenomonadaceae |
| Genus Megamonas |
| Species Megamonas funiformis |
| Full scientific name Megamonas funiformis Sakon et al. 2008 |
| BacDive ID | Other strains from Megamonas funiformis (2) | Type strain |
|---|---|---|
| 17126 | M. funiformis YITM815, DSM 19343, JCM 14723 (type strain) | |
| 160651 | M. funiformis Cla-CZ-129, DSM 110965 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 66365 | CHOPPED MEAT MEDIUM (DSMZ Medium 78) | Medium recipe at MediaDive | Name: CHOPPED MEAT MEDIUM (DSMZ Medium 78) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Agar 15.0 g/l Ethanol 9.5 g/l (optional) K2HPO4 5.0 g/l Yeast extract 5.0 g/l L-Cysteine HCl 0.5 g/l Haemin 0.005 g/l (optional) Resazurin 0.001 g/l Vitamin K3 0.0005 g/l (optional) Vitamin K1 (optional) NaOH (optional) Distilled water | ||
| 66365 | COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) | Medium recipe at MediaDive | Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 66365 | positive | growth | 37 |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | microaerophile | 98.7 |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 66365 | stool sample | Marseille | France | FRA | Europe |
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 66365 | 1 | Risk group (German classification) |
| @ref | Description | Assembly level | INSDC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|
| 66792 | PRJEB18027 assembly for Megamonas funiformis Marseille-P3344 | scaffold | 437897 | 65.2 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 124043 | Megamonas sp. Marseille-P3344 partial 16S rRNA gene, strain Marseille-P3344 | LT628480 | 1518 | 437897 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 82.80 | no |
| 125439 | motility | BacteriaNetⓘ | no | 61.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 77.30 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | microaerophile | 98.70 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 89.62 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 89.51 | no |
| 125438 | aerobic | aerobicⓘ | no | 94.89 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 82.88 | no |
| 125438 | thermophilic | thermophileⓘ | no | 90.44 | no |
| 125438 | flagellated | motile2+ⓘ | no | 83.91 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Draft Genome Sequence of Megamonas funiformis Strain Marseille-P3344, Isolated from a Human Fecal Microbiota. | Maaloum M, Diop A, Ndongo S, Nguyen TT, Cadoret F, Raoult D, Fournier PE | Genome Announc | 10.1128/genomeA.01459-17 | 2018 |
| #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 ) |
| #66365 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 103915 |
| #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) . |
| #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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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive159539.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data