Mycobacterium lehmannii (DSM 43219, CECT 8763, SN 1900)

Name: Mycobacterium lehmannii (DSM 43219, CECT 8763, SN 1900)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 8339

Type strain

Strain Designation 40

Culture col. no. DSM 43219 CECT 8763 SN 1900 40

NCBI tax ID(s) 2048550

Special Collections DSMZ Literature strains

History <- I. Tarnok, SN 1900 (Mycobacterium flavescens) <- J. Grange, Inst. of Pathology, London; 40

Links

Mycobacterium lehmannii 40 is a facultative anaerobe, Gram-positive bacterium of the family Mycobacteriaceae.

Gram-positive facultative anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 50205

CECT 8763,DSM 43219

@ref 20215

Last LPSN update 2026-02-09 11:19:41

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Mycobacteriaceae

Genus Mycobacterium

Species Mycobacterium lehmannii

Full scientific name Mycobacterium lehmannii Nouioui et al. 2017

Morphology

Cell morphology

@ref	Gram stain	Confidence
65228	positive
125438		90
125438	positive	90.103
125439	positive	94.2

Colony morphology

@ref	Colony color	Incubation period	Medium used
65228	yellow-orange	5 days	Middelbrook 7H10

Multimedia

@ref:	10876
multimedia content:	DSM_43219.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_43219.jpg
caption:	Medium 645 37°C
intellectual property rights:	© Leibniz-Institut DSMZ
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
10876	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
10876	LÖWENSTEIN-JENSEN MEDIUM (DSMZ Medium 354)	Medium recipe at MediaDive	Name: LÖWENSTEIN-JENSEN MEDIUM (DSMZ Medium 354) Composition: Potato flour 18.6104 g/l L-Asparagin 2.23325 g/l KH2PO4 1.55087 g/l Mg-citrate 0.372208 g/l Malachite green 0.248139 g/l MgSO4 0.148883 g/l Glycerol Fresh egg mixture Distilled water
65228	Middelbrook 7H10
65228	proteose peptone-meat extract-glycerol agar
65228	glucose-yeast extract-malt extract
65228	tryptic soy agar

Culture temp

@ref	Growth	Type	Temperature (°C)
10876	positive	growth	37
65228	positive	growth	28-37
65228	positive	optimum	37

Culture pH

@ref	Ability	Type	PH
65228	positive	growth	7

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
65228	facultative anaerobe
125439	obligate aerobe	98.9

Halophily

@ref	Salt	Growth	Tested relation	Concentration
65228	NaCl	positive	growth	4 %(w/v)

Observation

@ref	Observation
65228	Meso-diaminopimelicacid, arabinose, galactose, glucose and ribose are present in the whole-organism hydrolysates. The predominant menaquinone is MK-9(H 2 ).
65228	Contains dicarboxy mycolic acids with 61-64 carbon atoms.

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
65228	16651 ChEBI	(S)-lactate	-	assimilation
65228	64552 ChEBI	2-hydroxybutyrate	+	assimilation
65228	16763 ChEBI	2-oxobutanoate	-	assimilation
65228	30916 ChEBI	2-oxoglutarate	+	assimilation
65228	37054 ChEBI	3-hydroxybutyrate	+	assimilation
65228	73918 ChEBI	3-O-methyl-D-glucose	-	assimilation
65228	18101 ChEBI	4-hydroxyphenylacetic acid	-	assimilation
65228	30089 ChEBI	acetate	+	assimilation
65228	13705 ChEBI	acetoacetate	+	assimilation
65228	71422 ChEBI	beta-gentiobiose	-	assimilation
65228	73706 ChEBI	bromosuccinate	-	assimilation
65228	17057 ChEBI	cellobiose	+	assimilation
65228	16947 ChEBI	citrate	+	assimilation
65228	18333 ChEBI	D-arabitol	+	assimilation
65228	29990 ChEBI	D-aspartate	-	assimilation
65228	15824 ChEBI	D-fructose	+	assimilation
65228	78697 ChEBI	D-fructose 6-phosphate	+	assimilation
65228	28847 ChEBI	D-fucose	+	assimilation
65228	12936 ChEBI	D-galactose	-	assimilation
65228	18024 ChEBI	D-galacturonic acid	-	assimilation
65228	30612 ChEBI	D-glucarate	-	assimilation
65228	8391 ChEBI	D-gluconate	+	assimilation
65228	17634 ChEBI	D-glucose	+	assimilation
65228	14314 ChEBI	D-glucose 6-phosphate	-	assimilation
65228	15748 ChEBI	D-glucuronate	+	assimilation
65228	15588 ChEBI	D-malate	+	assimilation
65228	16899 ChEBI	D-mannitol	+	assimilation
65228	16024 ChEBI	D-mannose	+	assimilation
65228	16523 ChEBI	D-serine	+	assimilation
65228	17924 ChEBI	D-sorbitol	+	assimilation
65228	27689 ChEBI	decanoate	+	assimilation
65228	23652 ChEBI	dextrin	-	assimilation
65228	16537 ChEBI	galactarate	-	assimilation
65228	16865 ChEBI	gamma-aminobutyric acid	-	assimilation
65228	5291 ChEBI	gelatin	-	assimilation
65228	32323 ChEBI	glucuronamide	-	assimilation
65228	17754 ChEBI	glycerol	+	assimilation
65228	70744 ChEBI	glycine-proline	+	assimilation
65228	17596 ChEBI	inosine	-	assimilation
65228	16977 ChEBI	L-alanine	-	assimilation
65228	16467 ChEBI	L-arginine	-	assimilation
65228	29991 ChEBI	L-aspartate	-	assimilation
65228	18287 ChEBI	L-fucose	-	assimilation
65228	17464 ChEBI	L-galactonic acid gamma-lactone	-	assimilation
65228	29985 ChEBI	L-glutamate	+	assimilation
65228	15971 ChEBI	L-histidine	-	assimilation
65228	15589 ChEBI	L-malate	+	assimilation
65228	18183 ChEBI	L-pyroglutamic acid	-	assimilation
65228	62345 ChEBI	L-rhamnose	-	assimilation
65228	17115 ChEBI	L-serine	-	assimilation
65228	17716 ChEBI	lactose	-	assimilation
65228	17306 ChEBI	maltose	-	assimilation
65228	28053 ChEBI	melibiose	-	assimilation
65228	74611 ChEBI	methyl (R)-lactate	-	assimilation
65228	320055 ChEBI	methyl beta-D-glucopyranoside	-	assimilation
65228	51850 ChEBI	methyl pyruvate	+	assimilation
65228	17268 ChEBI	myo-inositol	-	assimilation
65228	63154 ChEBI	N-acetyl-beta-D-mannosamine	-	assimilation
65228	28037 ChEBI	N-acetylgalactosamine	-	assimilation
65228	506227 ChEBI	N-acetylglucosamine	-	assimilation
65228	35418 ChEBI	n-acetylneuraminate	-	assimilation
65228	17632 ChEBI	nitrate	+	reduction
65228	17309 ChEBI	pectin	-	assimilation
65228	17272 ChEBI	propionate	+	assimilation
65228	26490 ChEBI	quinate	-	assimilation
65228	16634 ChEBI	raffinose	-	assimilation
65228	17814 ChEBI	salicin	+	assimilation
65228	17164 ChEBI	stachyose	-	assimilation
65228	17992 ChEBI	sucrose	-	assimilation
65228	27082 ChEBI	trehalose	+	assimilation
65228	32528 ChEBI	turanose	-	assimilation
65228	53423 ChEBI	tween 40	+	degradation
65228	53426 ChEBI	tween 80	-	degradation

Antibiotic resistance

@ref	ChEBI	Metabolite
65228		1 % sodium lactate
65228	161680	aztreonam
65228	71321	fusidate
65228	32735	guanidinium chloride
65228	6472	lincomycin
65228	48607	lithium chloride
65228	50694	minocycline
65228	100147	nalidixic acid
65228	75273	niaproof
65228	75248	potassium tellurite
65228	29673	rifamycin sv
65228	75229	sodium bromate
65228	62965	sodium formate
65228	75198	tetrazolium blue
65228	75193	tetrazolium violet
65228	45735	troleandomycin
65228	28001	vancomycin

Enzymes

@ref	Value	Activity	Ec
65228	alkaline phosphatase	+	3.1.3.1
65228	alpha-glucosidase	+	3.2.1.20
65228	arylsulfatase	+	3.1.6.1
65228	beta-glucosidase	+	3.2.1.21
65228	catalase	+	1.11.1.6
65228	esterase (C 4)	+
65228	urease	+	3.5.1.5

Fatty acid profile

Metadata FA analysis

@ref

65228

Fatty acid	Percentage	ECL
unknown	31.3	19
C17:1ω7c / C17:1ω6c	18.5
C16:0	17.4
C18:1ω9c	8.9
C16:1ω6c	7.5
C10Me-C18:0	6.1
C18:2ω6,9c	3.3
C18:0	2.9
C14:0	2.2

Isolation, sampling and environmental information

Isolation

@ref	Country	Country ISO 3 Code	Continent
10876	United Kingdom	GBR	Europe

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Biosafety level	Biosafety level comment
10876	yes, in single cases	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM224553v1 assembly for Mycobacterium lehmannii CECT 8763	contig	GCA_002245535	2015070.3	8034335883	2048550	61.78

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
10876	Mycobacterium lehmannii strain CECT 8763 16S ribosomal RNA gene, partial sequence	KY933300	1530		2048550

GC content

@ref	GC-content (mol%)	Method
10876	66.7	sequence analysis
65228	66.7	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Mycobacterium lehmannii CECT 8763
NCBI: GCA_002245535

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	68.00	no
125439	motility	BacteriaNetⓘ	no	75.20	no
125439	gram_stain	BacteriaNetⓘ	positive	94.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mycobacterium sp. CECT 8763
PATRIC: 2015070.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.10	yes
125438	anaerobic	anaerobicⓘ	no	98.51	yes
125438	spore-forming	spore-formingⓘ	no	59.61	no
125438	aerobic	aerobicⓘ	yes	81.91	yes
125438	thermophilic	thermophileⓘ	no	97.00	yes
125438	flagellated	motile2+ⓘ	no	90.00	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Comparative genomic analysis reveals differential genomic characteristics and featured genes between rapid- and slow-growing non-tuberculous mycobacteria.	Zhang M, Wang P, Li C, Segev O, Wang J, Wang X, Yue L, Jiang X, Sheng Y, Levy A, Jiang C, Chen F.	Front Microbiol	10.3389/fmicb.2023.1243371	2023
	Evaluation of MALDI Biotyper Mycobacteria Library for Identification of Nontuberculous Mycobacteria.	Toney NC, Zhu W, Jensen B, Gartin J, Anderson K, Lonsway D, Karlsson M, Rasheed JK.	J Clin Microbiol	10.1128/jcm.00217-22	2022
Phylogeny	Two novel species of rapidly growing mycobacteria: Mycobacterium lehmannii sp. nov. and Mycobacterium neumannii sp. nov.	Nouioui I, Sangal V, Carro L, Teramoto K, Jando M, Montero-Calasanz MDC, Igual JM, Sutcliffe I, Goodfellow M, Klenk HP	Int J Syst Evol Microbiol	10.1099/ijsem.0.002350	2017

References

#10876	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 43219
#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 )
#65228	Imen Nouioui, Vartul Sangal, Lorena Carro, Kanae Teramoto, Marlen Jando, Maria del Carmen Montero-Calasanz, José Mariano Igual, Iain Sutcliffe, Michael Goodfellow, Hans-Peter Klenk: Two novel species of rapidly growing mycobacteria: Mycobacterium lehmannii sp. nov. and Mycobacterium neumannii sp. nov.. IJSEM 67: 4948 - 4955 2017 ( DOI 10.1099/ijsem.0.002350 , PubMed 29058645 )
#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 .
#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 lehmannii (DSM 43219, CECT 8763, SN 1900)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Halophily

Observation

Metabolite utilization

Antibiotic resistance

Enzymes

Fatty acid profile

Isolation, sampling and environmental information

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_002245535

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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