Pseudomonas kairouanensis (CFBP 8662, CECT 9766, KC12)

Name: Pseudomonas kairouanensis (CFBP 8662, CECT 9766, KC12)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 167570

Type strain

Strain Designation KC12

Culture col. no. CFBP 8662 CECT 9766 KC12

NCBI tax ID(s) 2293832

Links

Pseudomonas kairouanensis KC12 is a prokaryote of the family Pseudomonadaceae.

genome sequence 16S sequence

Name and taxonomic classification

SI-ID 135727

CECT:9766

@ref 20215

Last LPSN update 2026-02-09 11:40:36

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Pseudomonadales

Family Pseudomonadaceae

Genus Pseudomonas

Species Pseudomonas kairouanensis

Full scientific name Pseudomonas kairouanensis Oueslati et al. 2020

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	98
125439	negative	95.6

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	aerobe	92.831
125439	obligate aerobe	92.4

Spore formation

@ref	Spore formation	Confidence
125439		98.9

Isolation, sampling and environmental information

Taxonmaps

69479

Global distribution of 16S sequence LR031357 (>99% sequence identity) for Pseudomonas from Microbeatlas

Aquatic Samples	976
Soil Samples	555
Animal Samples	2173
Plant Samples	1759
Total Samples	5463

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM468205v1 assembly for Pseudomonas kairouanensis KC12	contig	GCA_004682055	2293832.3	2882114799	2293832	54.91

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Pseudomonas sp. KC12 partial 16S rRNA gene, strain KC12, isolate Citrus	LR031357	1392		2293832

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Pseudomonas kairouanensis KC12
NCBI: GCA_004682055

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.90	no
125439	motility	BacteriaNetⓘ	yes	81.60	no
125439	gram_stain	BacteriaNetⓘ	negative	95.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	92.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Pseudomonas kairouanensis KC12
NCBI: GCA_004682055.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.00	no
125438	anaerobic	anaerobicⓘ	no	98.93	no
125438	aerobic	aerobicⓘ	yes	92.83	no
125438	spore-forming	spore-formingⓘ	no	80.43	no
125438	thermophilic	thermophileⓘ	no	99.00	no
125438	flagellated	motile2+ⓘ	yes	89.65	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Pseudomonas cremoris sp. nov., a novel proteolytic species isolated from cream.	Hofmann K, Woller A, Huptas C, Wenning M, Scherer S, Doll EV	Int J Syst Evol Microbiol	10.1099/ijsem.0.004597	2020
Phylogeny	New species of pathogenic Pseudomonas isolated from citrus in Tunisia: Proposal of Pseudomonas kairouanensis sp. nov. and Pseudomonas nabeulensis sp. nov.	Oueslati M, Mulet M, Gomila M, Berge O, Hajlaoui MR, Lalucat J, Sadfi-Zouaoui N, Garcia-Valdes E	Syst Appl Microbiol	10.1016/j.syapm.2019.03.002	2019

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 )
#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) .
#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 )

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Pseudomonas kairouanensis (CFBP 8662, CECT 9766, KC12)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_004682055

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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