When using BacDive for research please cite our paper
Vagococcus bubulae SS1994 is a microaerophile, mesophilic, Gram-positive bacterium that forms circular colonies and was isolated from Ground beef.
- colony-forming
- Gram-positive
- rod-shaped
- mesophilic
- microaerophile
- 16S sequence
- Bacteria
- genome sequence
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Information on the name and the taxonomic classification.
Name and taxonomic classification
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Information on morphological and physiological properties
Morphology
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Information on culture and growth conditions
Culture and growth conditions
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Information on physiology and metabolism
Physiology and metabolism
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Information on isolation source, the sampling and environmental conditions
Isolation, sampling and environmental information
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Information on genomic background e.g. entries in nucleic sequence databass
Sequence information
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Data predicted using genome information as a basis
Genome-based predictions
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Availability in culture collections
External links
References
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#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 ) -
#63753 Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 70831 -
#67899 Patricia L. Shewmaker, Anne M. Whitney, Christopher A. Gulvik, Ben W. Humrighouse, Jarrett Gartin, Hercules Moura, John R. Barr, Edward R. B. Moore, Roger Karlsson, Tatiana C. A. Pinto, Lucia M. Teixeira: Vagococcus bubulae sp. nov., isolated from ground beef, and Vagococcus vulneris sp. nov., isolated from a human foot wound. IJSEM 69: 2268 - 2276 2019 ( DOI 10.1099/ijsem.0.003459 ) -
#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 . -
#110324 Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.: StrainInfo: A central database for resolving microbial strain identifiers . ( DOI 10.60712/SI-ID411579.1 ) -
#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 . - * These data were automatically processed and therefore are not curated
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