When using BacDive for research please cite our paper
Photobacterium proteolyticum 43082 is a facultative anaerobe, mesophilic, Gram-negative bacterium that forms circular colonies and was isolated from ocean sediment from 14.4 m depth.
- colony-forming
- Gram-negative
- motile
- rod-shaped
- facultative anaerobe
- mesophilic
- 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 ) -
#43223 Yan Li, Mingyang Zhou, Fengqing Wang, En Tao Wang, Zongjun Du, Chaoya Wu, Zhenpeng Zhang, Wei Liu, Zhihong Xie: Photobacterium proteolyticum sp. nov., a protease-producing bacterium isolated from ocean sediments of Laizhou Bay. IJSEM 67: 1835 - 1840 2017 ( DOI 10.1099/ijsem.0.001873 , PubMed 28665263 ) -
#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) . -
#67771 Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC; -
#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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