Mycobacterium pseudokansasii (CCUG 72128, DSM 107152, MK142)

Name: Mycobacterium pseudokansasii (CCUG 72128, DSM 107152, MK142)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 166498

Type strain

Strain Designation MK142

Culture col. no. CCUG 72128 DSM 107152 MK142

NCBI tax ID(s) 2341080

Special Collections DSMZ CCUG Literature strains

History DSMZ <- F. Tagini, Lausanne University Hospital; MK142

Links

Mycobacterium pseudokansasii MK142 is a bacterium that was isolated from blood culture of a patient with a disseminated mycobacterial infection.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 398562

DSM 107152,CCUG 72128T

@ref 20215

Last LPSN update 2026-05-29 08:45:54

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Mycobacteriaceae

Genus Mycobacterium

Species Mycobacterium pseudokansasii

Full scientific name Mycobacterium pseudokansasii Tagini et al. 2019

Morphology

Cell morphology

@ref	Motility	Confidence	Gram stain
125439		96.558
125439		95.732	positive

Colony morphology

@ref	Colony color	Incubation period	Medium used
67931	beige	14 days	7H10

Pigmentation

@ref	Production	Name
67931		Photochrome

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
69049	MIDDLEBROOK MEDIUM (DSMZ Medium 645)		Medium recipe at MediaDive	Name: MIDDLEBROOK MEDIUM (DSMZ Medium 645) Composition: Bacto Middlebrook 7H10 agar 20.9945 g/l Glycerol Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
69049	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.451

Observation

67931

Observationit has higher chances of being only a colonizer

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
67931	75248 ChEBI	potassium tellurite	-	reduction
67931	53426 ChEBI	tween 80	+	hydrolysis

Enzymes

@ref	Value	Activity	Ec
67931	arylsulfatase	+	3.1.6.1
67931	catalase	+	1.11.1.6
67931	nitrate reductase	+	1.7.99.4
67931	urease	+	3.5.1.5

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude	Host species
67931	blood culture of a patient with a disseminated mycobacterial infection	Lausanne University Hospital	Switzerland	CHE	Europe			Homo sapiens
69049	Blood culture	Lausanne	Switzerland	CHE	Europe	46.52	6.6336 46.52/6.6336

Taxonmaps

69479

Global distribution of 16S sequence LS999932 (>99% sequence identity) for Mycobacterium from Microbeatlas

Aquatic Samples	382
Soil Samples	881
Animal Samples	203
Plant Samples	54
Total Samples	1520

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	MK142 assembly for Mycobacterium pseudokansasii MK142	contig	GCA_900566075	2341080.3	8025614042	2341080	78.99

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67931	Mycobacterium sp. MK142 partial 16S rRNA gene, strain MK142=CCUG 72128=DSM 107152, isolate MK142, clone MK142	LS999932	1525		2341080

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: MK142 assembly for Mycobacterium pseudokansasii MK142
NCBI: GCA_900566075

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	motility	BacteriaNetⓘ	no	96.56	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.45	no
125439	gram_stain	BacteriaNetⓘ	positive	95.73	no
125439	spore_formation	BacteriaNetⓘ	yes	87.96	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mycobacterium pseudokansasii MK142
NCBI: GCA_900566075.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	88.47	no
125438	anaerobic	anaerobicⓘ	no	96.75	no
125438	aerobic	aerobicⓘ	yes	76.83	no
125438	spore-forming	spore-formingⓘ	no	57.95	no
125438	thermophilic	thermophileⓘ	no	95.50	yes
125438	flagellated	motile2+ⓘ	no	87.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Phylogenomics reveal that Mycobacterium kansasii subtypes are species-level lineages. Description of Mycobacterium pseudokansasii sp. nov., Mycobacterium innocens sp. nov. and Mycobacterium attenuatum sp. nov.	Tagini F, Aeby S, Bertelli C, Droz S, Casanova C, Prod'hom G, Jaton K, Greub G	Int J Syst Evol Microbiol	10.1099/ijsem.0.003378	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) .
#67931	Florian Tagini, Sébastien Aeby, Claire Bertelli, Sara Droz, Carlo Casanova, Guy Prod'hom, Katia Jaton, Gilbert Greub: Phylogenomics reveal that Mycobacterium kansasii subtypes are species-level lineages. Description of Mycobacterium pseudokansasii sp. nov., Mycobacterium innocens sp. nov. and Mycobacterium attenuatum sp. nov.. IJSEM 69: 1696 - 1704 2019 ( DOI 10.1099/ijsem.0.003378 )
#69049	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 107152
#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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Mycobacterium pseudokansasii (CCUG 72128, DSM 107152, MK142)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Observation

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_900566075

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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