Alkaliphilus hydrothermalis FatMR1 | Type strain | DSM 25890, JCM 18390 (original) (raw)
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Alkaliphilus hydrothermalis FatMR1 is a bacterium that was isolated from active alkaline hydrothermal chimney of a shallow submarine hydrothermal field.
genome sequence 16S sequence Bacteria
Name and taxonomic classification
Morphology
Culture and growth conditions
Culture medium
Culture temp
Physiology and metabolism
Oxygen tolerance
Isolation, sampling and environmental information
Isolation source categories
Isolation
Taxonmaps
Global distribution of 16S sequence KJ159210 (>99% sequence identity) for Alkaliphilus hydrothermalis from Microbeatlas 
Interaction and safety
Risk assessment
Sequence information
Genome sequences
16S sequences
GC content
Genome-based predictions
Literature
Literature 
References
| #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 ) |
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| #42885 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25890 |
| #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) . |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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 ) |
| #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 . |
| #126262 | A. Lissin, I. Schober, J. F. Witte, H. Lüken, A. Podstawka, J. Koblitz, B. Bunk, P. Dawyndt, P. Vandamme, P. de Vos, J. Overmann, L. C. Reimer: StrainInfo—the central database for linked microbial strain identifiers. ( DOI 10.1093/database/baaf059 ) |