Megasphaera vaginalis BV3C16-1 is a bacterium that was isolated from human vagiinal fluid.
genome sequence 16S sequence Bacteria| @ref 20215 |
|
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| Domain Bacteria |
| Phylum Bacillota |
| Class Negativicutes |
| Order Veillonellales |
| Family Veillonellaceae |
| Genus Megasphaera |
| Species Megasphaera vaginalis |
| Full scientific name Megasphaera vaginalis Srinivasan et al. 2021 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 125258 | 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 | ||
| 125258 | 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 Maltose 1.0 g/l Cellobiose 1.0 g/l Starch 1.0 g/l L-Cysteine HCl 0.5 g/l Ethanol 0.19 g/l Haemin 0.005 g/l Vitamin K3 0.0005 g/l Sodium resazurin 0.0005 g/l Distilled water Water Vitamin K1 NaOH |
| @ref | Growth | Type | Temperature (°C) | |
|---|---|---|---|---|
| 125258 | positive | growth | 37 |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | facultative anaerobe | 94.103 |
| @ref | Sample type | Host species | Geographic location | Country | Country ISO 3 Code | Continent | Latitude | Longitude | |
|---|---|---|---|---|---|---|---|---|---|
| 125258 | human vagiinal fluid | Homo sapiens | Seattle, WA | USA | USA | North America | 47.606 | -122.332 47.606/-122.332 |
Global distribution of 16S sequence JN809775 (>99% sequence identity) for Megasphaera from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | MspBV3C16-1v1.0 assembly for Megasphaera vaginalis (ex Srinivasan et al. 2021) BV3C16-1 | contig | 1111454 | 65.61 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20215 | Megasphaera sp. BV3C16-1 16S ribosomal RNA gene, partial sequence | JN809775 | 1452 | 1111454 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | motility | BacteriaNetⓘ | yes | 44.46 | no |
| 125439 | gram_stain | BacteriaNetⓘ | positive | 52.98 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 94.10 | no |
| 125439 | spore_formation | BacteriaNetⓘ | yes | 44.01 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 88.63 | no |
| 125438 | anaerobic | anaerobicⓘ | yes | 87.77 | no |
| 125438 | aerobic | aerobicⓘ | no | 94.25 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 76.50 | no |
| 125438 | thermophilic | thermophileⓘ | no | 92.39 | no |
| 125438 | flagellated | motile2+ⓘ | no | 85.62 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Megasphaera lornae sp. nov., Megasphaera hutchinsoni sp. nov., and Megasphaera vaginalis sp. nov.: novel bacteria isolated from the female genital tract. | Srinivasan S, Beamer MA, Fiedler TL, Austin MN, Sizova MV, Strenk SM, Agnew KJ, Gowda GAN, Raftery D, Epstein SS, Fredricks DN, Hillier SL | Int J Syst Evol Microbiol | 10.1099/ijsem.0.004702 | 2021 |
| #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) . |
| #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 . |
| #125258 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 111203 |
| #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/bacdive166921.20260601.11
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BacDive in 2025: the core database for prokaryotic strain data