When using BacDive for research please cite our paper
Alteromonas aestuariivivens JDTF-113 is an aerobe, mesophilic, Gram-negative bacterium that forms circular colonies and was isolated from tidal flat sediment in Jindo island, Yellow Sea, South Korea.
- colony-forming
- Gram-negative
- motile
- ovoid-shaped
- aerobe
- 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 ) -
#43881 Sooyeon Park, Su Jung Choi, Ji-Min Park, Jung-Hoon Yoon: Alteromonas aestuariivivens sp. nov., isolated from a tidal flat. IJSEM 67: 2791 - 2797 2017 ( DOI 10.1099/ijsem.0.002023 , PubMed 28820089 ) -
#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) . -
#66794 Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 ) -
#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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