When using BacDive for research please cite our paper
Domibacillus mangrovi KCTC 33820 is an obligate aerobe, spore-forming, Gram-positive bacterium that was isolated from mangrove sediment soil from the Salim Ali Bird Sanctuary.
- Gram-positive
- motile
- rod-shaped
- spore-forming
- 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 ) -
#43455 Ashish Verma, Anup Kumar Ojha, Syed G. Dastager, Rameshkumar Natarajan, Shanmugam Mayilraj, Srinivasan Krishnamurthi: Domibacillus mangrovi sp. nov. and Domibacillus epiphyticus sp. nov., isolated from marine habitats of the central west coast of India. IJSEM 67: 3063 - 3070 2017 ( DOI 10.1099/ijsem.0.002085 , PubMed 28829034 ) -
#67770 Japan Collection of Microorganism (JCM) ; Curators of the JCM; -
#67771 Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC; -
#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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