When using BacDive for research please cite our paper
Cephaloticoccus primus CAG34 is an obligate aerobe, Gram-negative, coccus-shaped bacterium that was isolated from the guts of Cephalotes rohweri.
- coccus-shaped
- Gram-negative
- obligate aerobe
- 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 ) -
#43581 Jonathan Y. Lin, Jacob A. Russell, Jon G. Sanders, John T. Wertz: Cephaloticoccus gen. nov., a new genus of 'Verrucomicrobia' containing two novel species isolated from Cephalotes ant guts. IJSEM 66: 3034 - 3040 2016 ( DOI 10.1099/ijsem.0.001141 , PubMed 27154284 ) -
#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 . -
#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 ) - * These data were automatically processed and therefore are not curated
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