Name: Mycobacterium tuberculosis CIP 105234
Creator: BacDive
License: https://creativecommons.org/licenses/by/4.0/

Strain identifier

BacDive ID: 169812

Type strain:

Species: Mycobacterium tuberculosis

Culture col. no.: CIP 105234, ATCC 19210, NCTC 10772

NCBI tax ID(s): 1773 (species)

Special Collections

Other strains from Mycobacterium tuberculosis

Section

When using BacDive for research please cite our paper

Mycobacterium tuberculosis CIP 105234 is a bacterium of the family Mycobacteriaceae.

16S sequence
Bacteria
genome sequence

Information on the name and the taxonomic classification. Name and taxonomic classification

	Last LPSN update	09-12-2024 (DD-MM-YYYY)
	Domain	*Bacteria*
	Phylum	*Actinomycetota*
	Class	*Actinomycetes*
	Order	*Mycobacteriales*
	Family	*Mycobacteriaceae*
	Genus	*Mycobacterium*
	Species	**Mycobacterium tuberculosis**
	Full Scientific Name (LPSN)	Mycobacterium tuberculosis (Zopf 1883) Lehmann and Neumann 1896 (Approved Lists 1980)

	Synonym	Mycobacterium bovis subsp. caprae
	Synonym	Mycobacterium microti
	Synonym	Mycobacterium tuberculosis subsp. caprae
	Synonym	"Bacterium* tuberculosis"*
	Synonym	Mycobacterium caprae
	Synonym	Mycobacterium pinnipedii
	Synonym	Mycobacterium bovis
	Synonym	Mycobacterium africanum

Information on morphological and physiological properties Morphology

[Ref.: #125438]	Gram stain	positive Confidence in %90.158
[Ref.: #125439]	Gram stain	positive Confidence in %90.3

[Ref.: #125438]	Motility	no Confidence in %91

Information on physiology and metabolism Physiology and metabolism

[Ref.: #125439]

Oxygen tolerance

obligate aerobe Confidence in %98.8

Information on possible application of the strain and its possible interaction with e.g. potential hosts Safety information

[Ref.: #20215]

Biosafety level

Risk group

Information on genomic background e.g. entries in nucleic sequence databass Sequence information

16S Sequence information:

	Sequence accession description	Seq. accession number	Sequence length (bp)	Sequence database	Associated NCBI tax ID
[Ref.: #20215]	Mycobacterium bovis strain CIP 105234 16S ribosomal RNA gene, partial sequence	AF547903	555	GenBank ENA	1765 tax ID	*

Genome sequence information:

	Sequence accession description	Seq. accession number	Assembly level	Sequence database	Associated NCBI tax ID
[Ref.: #66792]	Mycobacterium tuberculosis variant bovis ATCC 19210	GCA_002982285	scaffold	GenBank ENA	1765 tax ID	*
[Ref.: #66792]	Mycobacterium bovis strain ATCC 19210	1765.381	wgs	PATRIC	1765 tax ID	*

Data predicted using genome information as a basis Genome-based predictions

	Model	Trait	Prediction	Confidence in %	In training data
	Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mycobacterium tuberculosis variant bovis ATCC 19210 NCBI: GCA_002982285.1
[Ref.: #125438]	gram-positive	gram-positiveⓘ	yes	90.158	no
[Ref.: #125438]	anaerobic	anaerobicⓘ	no	97.05	no
[Ref.: #125438]	aerobic	aerobicⓘ	yes	75.812	no
[Ref.: #125438]	spore-forming	spore-formingⓘ	no	68.468	no
[Ref.: #125438]	thermophile	thermophilicⓘ	no	95.327	no
[Ref.: #125438]	motile2+	flagellatedⓘ	no	91	no

	Model	Trait	Prediction	Confidence in %
	Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Mycobacterium tuberculosis variant bovis ATCC 19210 NCBI: GCA_002982285
[Ref.: #125439]	BacteriaNet	spore_formationⓘ	yes	50.2
[Ref.: #125439]	BacteriaNet	motilityⓘ	no	82
[Ref.: #125439]	BacteriaNet	gram_stainⓘ	positive	90.3
[Ref.: #125439]	BacteriaNet	oxygen_toleranceⓘ	obligate aerobe	98.8

Availability in culture collections External links

[Ref.: #20215]

Culture collection no.

CIP 105234, ATCC 19210, NCTC 10772

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) .

#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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Mycobacterium tuberculosis variant bovis ATCC 19210

Mycobacterium tuberculosis variant bovis ATCC 19210

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