Mycobacterium lacus (DSM 44577, ATCC BAA-323, NRCM 00-255)

Name: Mycobacterium lacus (DSM 44577, ATCC BAA-323, NRCM 00-255)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 8506

Type strain

Culture col. no. DSM 44577 ATCC BAA-323 NRCM 00-255 CIP 108111 JCM 15657

NCBI tax ID(s) 169765

Special Collections DSMZ JCM CIP

History <- C. Turenne, NRCM <- P. Chedore CIP 108111 <-- C. Turenne NRCM 00-255 <-- P. Chedore. CIP <- 2003, C.Y. Turenne, Nat. Microb. Lab., Winnipeg, Canada <- P. Chedore

Links

Mycobacterium lacus DSM 44577 is a rod-shaped bacterium that was isolated from surgically removed tissue from right elbow.

rod-shaped genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 100786

ATCC BAA-323,DSM 44577,CIP 108111,JCM 15657

@ref 20215

Last LPSN update 2026-02-09 11:19:43

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Mycobacteriaceae

Genus Mycobacterium

Species Mycobacterium lacus

Full scientific name Mycobacterium lacus Turenne et al. 2002

Morphology

Cell morphology

@ref	Cell shape	Gram stain	Confidence
120540	rod-shaped
125439		positive	98.5
125439			94.3
125438			93
125438		positive	91.589

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
11874	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
36358	MEDIUM 55 - for Mycobacterium
120540	CIP Medium 55	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
11874	positive	growth	37
36358	positive	growth	37
67770	positive	growth	37
120540	positive	growth	30-37
120540	negative	growth	10
120540	negative	growth	22
120540	negative	growth	45

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	97.7

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
120540	606565 ChEBI	hippurate	-	hydrolysis
120540	17632 ChEBI	nitrate	+	reduction
120540	16301 ChEBI	nitrite	-	reduction

Metabolite production

@ref	Chebi-ID	Metabolite	Production
120540	35581 ChEBI	indole

Enzymes

@ref	Value	Activity	Ec
68382	acid phosphatase	+	3.1.3.2	from API zym
68382	alkaline phosphatase	-	3.1.3.1	from API zym
68382	alpha-chymotrypsin	-	3.4.21.1	from API zym
68382	alpha-fucosidase	-	3.2.1.51	from API zym
68382	alpha-galactosidase	-	3.2.1.22	from API zym
68382	alpha-glucosidase	-	3.2.1.20	from API zym
68382	alpha-mannosidase	-	3.2.1.24	from API zym
68382	beta-galactosidase	-	3.2.1.23	from API zym
120540	beta-galactosidase	-	3.2.1.23
68382	beta-glucosidase	-	3.2.1.21	from API zym
68382	beta-glucuronidase	-	3.2.1.31	from API zym
120540	catalase	+	1.11.1.6
68382	cystine arylamidase	+	3.4.11.3	from API zym
68382	esterase (C 4)	+		from API zym
68382	esterase lipase (C 8)	+		from API zym
120540	gamma-glutamyltransferase	+	2.3.2.2
120540	gelatinase	-
68382	leucine arylamidase	+	3.4.11.1	from API zym
68382	lipase (C 14)	-		from API zym
68382	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API zym
68382	naphthol-AS-BI-phosphohydrolase	+		from API zym
120540	oxidase	-
68382	trypsin	-	3.4.21.4	from API zym
120540	urease	+	3.5.1.5
68382	valine arylamidase	+		from API zym

API zym

@ref	Control	Alkaline phosphatase	Esterase (C 4)	2-naphtyl caprylateEsterase Lipase (C 8)	Lipase (C 14)	L-leucyl-2-naphthylamideLeucine arylamidase	L-valyl-2-naphthylamideValine arylamidase	L-cystyl-2-naphthylamideCystine arylamidase	Trypsin	alpha- Chymotrypsin	Acid phosphatase	Naphthol-AS-BI-phosphateNaphthol-AS-BI-phosphohydrolase	alpha- Galactosidase	beta- Galactosidase	beta- Glucuronidase	alpha- Glucosidase	beta- Glucosidase	N-acetyl-beta- glucosaminidase	alpha- Mannosidase	alpha- Fucosidase
120540	-	-	+	+	-	+	+	+	-	-	+	+	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body-Site	#Limb	#Arm
#Host Body-Site	#Organ	#Skin, Nail, Hair

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Isolation date
11874	surgically removed tissue from right elbow	Ontario	Canada	CAN	North America
67770	Synovial tissue from a 68-year-old female with bursitis of her right elbow		Canada	CAN	North America
120540	Human, Synovial tissue, right elbow	Ontario	Canada	CAN	North America	2000

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Biosafety level	Biosafety level comment
11874	yes, in single cases	1	Risk group (German classification) According to TRBA 466
120540		1	Risk group (French 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	ASM1073153v1 assembly for Mycobacterium lacus JCM 15657	complete	GCA_010731535	169765.13	8110633260	169765	97.96
124043	MlacDSM44577v1 assembly for Mycobacterium lacus DSM 44577	complete	GCA_963853655			169765	96.42
67770	ASM210221v1 assembly for Mycobacterium lacus DSM 44577	contig	GCA_002102215	169765.3	2865380423	169765	39
66792	ASM2582164v1 assembly for Mycobacterium lacus DSM 44577	scaffold	GCA_025821645	169765.17	8114802560	169765	17.49

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Mycobacterium lacus 16S ribosomal RNA gene, partial sequence	AY438078	554		169765
11874	Mycobacterium lacus 16S ribosomal RNA gene, partial sequence	AF406783	1470		169765

GC content

@ref	GC-content (mol%)	Method
67770	66.9	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Mycobacterium lacus strain JCM 15657
PATRIC: 169765.13

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	78.70	no
125439	motility	BacteriaNetⓘ	no	94.30	no
125439	gram_stain	BacteriaNetⓘ	positive	98.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mycobacterium lacus JCM 15657
NCBI: GCA_010731535.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	91.59	no
125438	anaerobic	anaerobicⓘ	no	96.79	no
125438	aerobic	aerobicⓘ	yes	73.98	no
125438	spore-forming	spore-formingⓘ	no	54.07	no
125438	thermophilic	thermophileⓘ	no	90.08	yes
125438	flagellated	motile2+ⓘ	no	93.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Genomic and phenotypic characterization of Mycobacterium tuberculosis' closest-related non-tuberculous mycobacteria.	Sous C, Frigui W, Pawlik A, Sayes F, Ma L, Cokelaer T, Brosch R.	Microbiol Spectr	10.1128/spectrum.04126-23	2024
Pathogenicity	Evolution and emergence of Mycobacterium tuberculosis.	Orgeur M, Sous C, Madacki J, Brosch R.	FEMS Microbiol Rev	10.1093/femsre/fuae006	2024
Phylogeny	Shared Pathogenomic Patterns Characterize a New Phylotype, Revealing Transition toward Host-Adaptation Long before Speciation of Mycobacterium tuberculosis.	Sapriel G, Brosch R.	Genome Biol Evol	10.1093/gbe/evz162	2019
	Molecular identification of mycobacterial infections in nonsputum specimens.	Ramadhan AR, Massi MN, Sultan AR, Hamid F, Muslich LT, Sjahril R, Madjid B, Rasita YD, Hatta M.	Int J Mycobacteriol	10.4103/ijmy.ijmy_121_23	2023
	Cold Cas: reevaluating the occurrence of CRISPR/Cas systems in Mycobacteriaceae.	Brenner E, Sreevatsan S.	Front Microbiol	10.3389/fmicb.2023.1204838	2023
	Marine sponge microbe provides insights into evolution and virulence of the tubercle bacillus.	Pidot SJ, Klatt S, Ates LS, Frigui W, Sayes F, Majlessi L, Izumi H, Monk IR, Porter JL, Bennett-Wood V, Seemann T, Otter A, Taiaroa G, Cook GM, West N, Tobias NJ, Fuerst JA, Stutz MD, Pellegrini M, McConville M, Brosch R, Stinear TP.	PLoS Pathog	10.1371/journal.ppat.1012440	2024
	Mycobacteria that cause tuberculosis have retained ancestrally acquired genes for the biosynthesis of chemically diverse terpene nucleosides.	Mayfield JA, Raman S, Ramnarine AK, Mishra VK, Huang AD, Dudoit S, Buter J, Cheng TY, Young DC, Nair YM, Ouellet IG, Griebel BT, Ma S, Sherman DR, Mallet L, Rhee KY, Minnaard AJ, Branch Moody D.	PLoS Biol	10.1371/journal.pbio.3002813	2024
	Mycobacterium avium complex olecranon bursitis resolves without antimicrobials or surgical intervention: A case report and review of the literature.	Working S, Tyser A, Levy D.	IDCases	10.1016/j.idcr.2015.04.001	2015
Genetics	Comparative Genomic and Transcriptomic Analyses of Mycobacterium kansasii Subtypes Provide New Insights Into Their Pathogenicity and Taxonomy.	Guan Q, Ummels R, Ben-Rached F, Alzahid Y, Amini MS, Adroub SA, van Ingen J, Bitter W, Abdallah AM, Pain A.	Front Cell Infect Microbiol	10.3389/fcimb.2020.00122	2020
	Insights into the ancestry evolution of the Mycobacterium tuberculosis complex from analysis of Mycobacterium riyadhense.	Guan Q, Garbati M, Mfarrej S, AlMutairi T, Laval T, Singh A, Fagbo S, Smyth A, Browne JA, urRahman MA, Alruwaili A, Hoosen A, Meehan CJ, Nakajima C, Suzuki Y, Demangel C, Bhatt A, Gordon SV, AlAsmari F, Pain A.	NAR Genom Bioinform	10.1093/nargab/lqab070	2021
Enzymology	Mycobacterium alsiense, a novel, slowly growing species isolated from two patients with pulmonary disease.	Richter E, Tortoli E, Fischer A, Hendricks O, Engel R, Hillemann D, Schubert S, Kristiansen JE.	J Clin Microbiol	10.1128/jcm.01097-07	2007
	ESX-1-Independent Horizontal Gene Transfer by Mycobacterium tuberculosis Complex Strains.	Madacki J, Orgeur M, Mas Fiol G, Frigui W, Ma L, Brosch R.	mBio	10.1128/mbio.00965-21	2021
Genetics	Impact of Genomics on Clarifying the Evolutionary Relationships amongst Mycobacteria: Identification of Molecular Signatures Specific for the Tuberculosis-Complex of Bacteria with Potential Applications for Novel Diagnostics and Therapeutics.	Gupta RS.	High Throughput	10.3390/ht7040031	2018
Genetics	Genome-Based Taxonomic Classification of the Phylum Actinobacteria.	Nouioui I, Carro L, Garcia-Lopez M, Meier-Kolthoff JP, Woyke T, Kyrpides NC, Pukall R, Klenk HP, Goodfellow M, Goker M.	Front Microbiol	10.3389/fmicb.2018.02007	2018
	The Presence of esat-6 and cfp10 and Other Gene Orthologs of the RD 1 Region in Non-Tuberculous Mycobacteria, Mycolicibacteria, Mycobacteroides and Mycolicibacter as Possible Impediments for the Diagnosis of (Animal) Tuberculosis	Gcebe N, Hlokwe T, Bouw A, Michel A, Rutten V.	Microorganisms		2024
Phylogeny	Mycobacterium lacus sp. nov., a novel slowly growing, non-chromogenic clinical isolate.	Turenne C, Chedore P, Wolfe J, Jamieson F, Broukhanski G, May K, Kabani A	Int J Syst Evol Microbiol	10.1099/00207713-52-6-2135	2002

References

#11874	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 44577
#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 )
#36358	; Curators of the CIP;
#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;
#68382	Automatically annotated from API zym .
#120540	Collection of Institut Pasteur ; Curators of the CIP; CIP 108111
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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 lacus (DSM 44577, ATCC BAA-323, NRCM 00-255)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Metabolite utilization

Metabolite production

Enzymes

API zym

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_010731535

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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