Mycobacterium sarraceniae (DL734, JCM 30395, NCCB 100519)

Name: Mycobacterium sarraceniae (DL734, JCM 30395, NCCB 100519)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 133184

Type strain

Strain Designation DL734

Culture col. no. DL734 JCM 30395 NCCB 100519

NCBI tax ID(s) 1534348

Special Collections JCM Literature strains

History J. L. Dahl; Univ. of Minnesota Duluth, USA; DL734.

Links

Mycobacterium sarraceniae DL734 is a mesophilic prokaryote that was isolated from water samples collected from S. purpurea pitchers.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 28252

JCM 30395,NCCB 100519

@ref 20215

Last LPSN update 2026-02-09 11:31:53

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Mycobacteriaceae

Genus Mycobacterium

Species Mycobacterium sarraceniae

Full scientific name Mycobacterium sarraceniae Tran and Dahl 2016

Synonyms (1)

Mycolicibacterium sarraceniae

Morphology

Cell morphology

@ref	Gram stain	Confidence	Cell shape
24967
24967			coccus-shaped
125439	positive	99.1
125439		92.2
125438		91
125438	positive	90.782

Colony morphology

@ref	Colony color	Incubation period	Medium used
24967	orange	7-10 days	Middlebrook 7H11 agar withOADC reaches maturity
24967	yellow	5-7 days	Middlebrook 7H11 agar withOADC reaches maturity
24967	orange	7-10 days	Middlebrook 7H11 with OADC reaches maturity
24967	pale yellow	5-7 days	Middlebrook 7H11 agar with OADC reaches maturity

Culture and growth conditions

Culture medium

@ref	Name	Growth
24967	Middlebrook 7H11
24967	Middlebrook 7H11 agar withOADC reaches maturity
24967	Middlebrook 7H11 with OADC reaches maturity
24967	Middlebrook 7H11 agar with OADC reaches maturity

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
24967	positive	growth	28-32	mesophilic
24967	negative	growth	37
24967	positive	growth	28-37	mesophilic
67770	positive	growth	28	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.7

Halophily

@ref	Salt	Growth	Tested relation	Concentration
24967	NaCl	positive	growth	5 %
24967	NaCl	positive	growth	5 %(w/v)

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
24967	17632 ChEBI	nitrate	-	reduction
24967	17632 ChEBI	nitrate	+	reduction
24967	75248 ChEBI	potassium tellurite	-	reduction
24967	75248 ChEBI	potassium tellurite	+	reduction
24967	53426 ChEBI	tween 80	-	hydrolysis

Antibiotic resistance

@ref	ChEBI	Metabolite
24967	28971	ampicillin
24967	161680	aztreonam
24967	17698	chloramphenicol
24967	100241	ciprofloxacin
24967	7507	neomycin
24967	17334	penicillin
24967	17334	penicillin
24967	17076	streptomycin
24967	27902	tetracycline
24967	45924	trimethoprim

Enzymes

@ref	Value	Activity	Ec
24967	catalase	-	1.11.1.6
24967	urease	-	3.5.1.5

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	-
#Host	#Plants	#Herbaceous plants (Grass,Crops)

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
24967	water samples collected from S. purpurea pitchers		Repose Lake in northern Minnesota	USA	USA	North America
67770	Water sample from Sarracenia purpurea pitchers at Repose Lake	Sarracenia purpurea	MN	USA	USA	North America

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1073187v1 assembly for Mycolicibacterium sarraceniae JCM 30395	complete	GCA_010731875	1534348.5	2888238920	1534348	98

16S sequences

@ref	Description	Accession	Database
24967	Mycolicibacterium sarraceniae strain JCM 30395 16S ribosomal RNA gene, partial sequence	KM216315

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Mycolicibacterium sarraceniae strain JCM 30395
PATRIC: 1534348.5

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	67.80	no
125439	motility	BacteriaNetⓘ	no	92.20	no
125439	gram_stain	BacteriaNetⓘ	positive	99.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mycolicibacterium sarraceniae JCM 30395
NCBI: GCA_010731875.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.78	no
125438	anaerobic	anaerobicⓘ	no	98.21	no
125438	aerobic	aerobicⓘ	yes	88.29	no
125438	spore-forming	spore-formingⓘ	no	58.59	no
125438	thermophilic	thermophileⓘ	no	97.50	no
125438	flagellated	motile2+ⓘ	no	91.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Phylogenomics and Comparative Genomic Studies Robustly Support Division of the Genus Mycobacterium into an Emended Genus Mycobacterium and Four Novel Genera.	Gupta RS, Lo B, Son J.	Front Microbiol	10.3389/fmicb.2018.00067	2018
Phylogeny	Mycolicibacterium baixiangningiae sp. nov. and Mycolicibacterium mengxianglii sp. nov., two new rapidly growing mycobacterial species.	Cheng Y, Lei W, Wang X, Tian Z, Liu H, Yang J, Lu S, Lai XH, Pu J, Huang Y, Zhang S, Yang C, Lian X, Bai Y, Wan K, Wang S, Xu J	Int J Syst Evol Microbiol	10.1099/ijsem.0.005019	2021
Phylogeny	Mycobacterium sarraceniae sp. nov. and Mycobacterium helvum sp. nov., isolated from the pitcher plant Sarracenia purpurea.	Tran PM, Dahl JL	Int J Syst Evol Microbiol	10.1099/ijsem.0.001377	2016

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 )
#24967	P. M. D. Tran, John L.: Mycobacterium sarraceniae sp. nov. and Mycobacterium helvum sp. nov., isolated from the pitcher plant Sarracenia purpurea. IJSEM 66: 4480 - 4485 2016 ( DOI 10.1099/ijsem.0.001377 , PubMed 27498537 )
#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;
#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 sarraceniae (DL734, JCM 30395, NCCB 100519)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Halophily

Metabolite utilization

Antibiotic resistance

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_010731875

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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