Cite this strain

Mycobacterium conceptionense (JCM 15299, DSM 45102, CCUG 50187)

Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 8551

Type strain

Strain Designation D16

Culture col. no. JCM 15299 DSM 45102 CCUG 50187 CIP 108544 D16

NCBI tax ID(s) 451644

Special Collections DSMZ CCUG JCM CIP

Links

Name and taxonomic classification

Mycobacterium conceptionense D16 is an aerobe, mesophilic bacterium that was isolated from human bone tissue biospy, wound liquid outflow.

aerobe mesophilic genome sequence 16S sequence Bacteria

SI-ID 289773

CIP 108544, CCUG 50187, DSM 45102, JCM 15299

Last LPSN update 2024-12-09 10:44:04

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Mycobacteriaceae

Genus Mycobacterium

Species Mycobacterium conceptionense

Full scientific name Mycobacterium conceptionense Adékambi et al. 2006

Synonyms (1)

Mycolicibacterium conceptionense

BacDive ID	Other strains from **Mycobacterium conceptionense** (1)	Type strain
8292	M. conceptionense 397, DSM 43231, SN 5721

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	94.3
125438		90
125438	positive	91.55

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
12344	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
12344	COLUMBIA BLOOD MEDIUM (DSMZ Medium 693)	Medium recipe at MediaDive	Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base
36345	MEDIUM 55 - for Mycobacterium

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
12344	positive	growth	37	mesophilic
36345	positive	growth	30	mesophilic
58777	positive	growth	30-37	mesophilic
67770	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
58777	aerobe
125439	obligate aerobe

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Infection	#Patient	#Biopsy
#Host	#Human	-
#Host Body-Site	#Other	#Bone
#Host Body-Site	#Other	#Wound

Isolation

@ref	Sample type	Geographic location
12344	human bone tissue biospy, wound liquid outflow	Reunion Island, Indian Ocean
58777	Human bone tissue biopsy,wound liquid outflow
67770	Wound liquid	Reunion Island

Taxonmaps

69479

Global distribution of 16S sequence AY859684 (>99% sequence identity) for Mycolicibacterium from Microbeatlas

Aquatic Samples	64
Soil Samples	45
Animal Samples	50
Plant Samples	337
Total Samples	496

Safety information

Risk assessment

@ref	Pathogenicity human	Biosafety level	Biosafety level comment
12344	yes, in single cases	1	Risk group (German classification) According to TRBA 466

Sequence information

GC content

@ref	GC-content (mol%)
12344	64
67770	62-66
67770	66.3

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Mycobacterium conceptionense partial 16S rRNA gene, type strain CIP 108544T	AM884281	551	451644
20218	Mycolicibacterium conceptionense strain CIP 108544 16S ribosomal RNA gene, partial sequence	AY859684	1483	451644
20218	Mycobacterium conceptionense strain CIP 108544 16S ribosomal RNA gene, partial sequence	EU191913	457	451644

Genome sequences

@ref	Description	Accession	Assembly level	Database	NCBI tax ID
66792	Mycobacterium conceptionense strain CCUG 50187	451644.16	wgs	PATRIC	451644
67770	Mycolicibacterium conceptionense D16	GCA_001052995	scaffold		451644
67770	Mycolicibacterium conceptionense CCUG 50187	GCA_002102065	contig		451644
66792	Mycolicibacterium conceptionense DSM 45102	GCA_025823065	scaffold		451644

Genome-based predictions

Predictions

Predictions from Diaspora project based on:
Mycolicibacterium conceptionense D16
NCBI: GCA_001052995

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	55.70	no
125439	motility	BacteriaNetⓘ	no	74.30	no
125439	gram_stain	BacteriaNetⓘ	positive	94.30	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	95.20	no

Predictions from Diaspora project based on:
Mycobacterium conceptionense strain CCUG 50187
PATRIC: 451644.16

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	91.55	no
125438	anaerobic	anaerobicⓘ	no	98.09	yes
125438	spore-forming	spore-formingⓘ	no	61.26	no
125438	aerobic	aerobicⓘ	yes	85.46	yes
125438	thermophilic	thermophileⓘ	no	96.50	yes
125438	flagellated	motile2+ⓘ	no	90.00	no

External links

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Description of Mycobacterium conceptionense sp. nov., a Mycobacterium fortuitum group organism isolated from a posttraumatic osteitis inflammation.	Adekambi T, Stein A, Carvajal J, Raoult D, Drancourt M	J Clin Microbiol	10.1128/JCM.44.4.1268-1273.2006	2006

Straininfo Link

@ref	Straininfo	Culture collections
77935	289773	CIP 108544, CCUG 50187, DSM 45102, JCM 15299

Culture collection no.

Culture collection no.
JCM 15299
DSM 45102
CCUG 50187
CIP 108544
D16

References

#12344	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 45102
#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 )
#20218	Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 )
#36345	; Curators of the CIP;
#58777	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 50187
#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 .
#77935	Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J.: StrainInfo: A central database for resolving microbial strain identifiers . ( DOI 10.60712/SI-ID289773.1 )
#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 .

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