Mycobacterium helvum (DL739, JCM 30396, NCCB 100520)

Name: Mycobacterium helvum (DL739, JCM 30396, NCCB 100520)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 133185

Type strain

Strain Designation DL739

Culture col. no. DL739 JCM 30396 NCCB 100520

NCBI tax ID(s) 1534349

Special Collections JCM Literature strains

History J. L. Dahl; Univ. of Minnesota Duluth, USA; DL739.

Links

Mycobacterium helvum DL739 is a bacterium that was isolated from Water sample from Sarracenia purpurea pitchers at the Laurentian Educational Center.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 28285

JCM 30396,NCCB 100520

@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 helvum

Full scientific name Mycobacterium helvum Tran and Dahl 2016

Synonyms (1)

Mycolicibacterium helvum

Morphology

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
67770	positive	growth	28

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
67770	Water sample from Sarracenia purpurea pitchers at the Laurentian Educational Center	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	ASM1073189v1 assembly for Mycolicibacterium helvum JCM 30396	complete	GCA_010731895	1534349.5	2888226484	1534349	98.73
124043	ASM3954013v1 assembly for Mycolicibacterium helvum JCM 30396	scaffold	GCA_039540135			1534349	69.1

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Mycolicibacterium helvum strain JCM 30396 16S ribosomal RNA gene, partial sequence	KM216314	1459		1534349

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Mycolicibacterium helvum JCM 30396
NCBI: GCA_010731895

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	81.60	no
125439	motility	BacteriaNetⓘ	no	65.30	no
125439	gram_stain	BacteriaNetⓘ	positive	86.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mycolicibacterium helvum JCM 30396
NCBI: GCA_010731895.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	89.67	no
125438	anaerobic	anaerobicⓘ	no	96.85	no
125438	aerobic	aerobicⓘ	yes	89.43	no
125438	spore-forming	spore-formingⓘ	no	57.31	no
125438	thermophilic	thermophileⓘ	no	97.90	no
125438	flagellated	motile2+ⓘ	no	88.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Draft genome sequences of five Mycobacterium strains, isolated from Alnus glutinosa root nodules.	Thompson RM, Fox EM, Montero-Calasanz MdC.	Microbiol Resour Announc	10.1128/mra.01132-23	2024
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	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;
#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 helvum (DL739, JCM 30396, NCCB 100520)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_010731895

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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