Pseudomonas stutzeri 632 | CIP 107696, CCUG 16156, ATCC 14405, LMG 2243, NCIMB 568, JCM 20778, IAM 12931 (original) (raw)

Show all Names & IDs Morphology Cultivation Physiology & metabolism Isolation & Environment Interaction & safety Sequences Predictions Literature References

Stutzerimonas perfectomarina 632 is an obligate aerobe, Gram-negative, motile bacterium that was isolated from Marine source.

Gram-negative motile rod-shaped obligate aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 4333

LMG 2243,ATCC 14405,NCMB 568,NCIMB 568,IAM12931,CECT 4899,CCRC 14821,CCUG 16156,CIP 107696,BCRC 14821,JCM 20778

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Metabolite utilization

Antibiotic resistance

Metabolite production

Enzymes

API zym

API biotype100

Isolation, sampling and environmental information

Isolation

38224 Sample typeMarine source

Interaction and safety

Risk assessment

Sequence information

Genome sequences

16S sequences

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 )
#38224 Collection of Institut Pasteur ; Curators of the CIP; CIP 107696
#46451 Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 16156
#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;
#68382 Automatically annotated from API zym .
#124043 Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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 )