Mycobacterium litorale (DSM 45785, CGMCC 4.5724, JCM 17423)

Name: Mycobacterium litorale (DSM 45785, CGMCC 4.5724, JCM 17423)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 8588

Type strain

Strain Designation F4

Culture col. no. DSM 45785 CGMCC 4.5724 JCM 17423 F4

NCBI tax ID(s) 758802

Special Collections DSMZ JCM Literature strains

History <- JCM; JCM 17423 <- J. Zhang; F4 J. Zhang F4.

Links

Mycobacterium litorale F4 is an aerobe, mesophilic, Gram-positive prokaryote that was isolated from soil.

Gram-positive rod-shaped aerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 401655

JCM 17423,DSM 45785

@ref 20215

Last LPSN update 2025-12-16 09:48:52

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Mycobacteriaceae

Genus Mycobacterium

Species Mycobacterium litorale

Full scientific name Mycobacterium litorale Zhang et al. 2012

Synonyms (1)

Mycolicibacterium litorale

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
30324	positive	rod-shaped
125439	positive		96.2
125438			91
125438	positive		90.031

Pigmentation

30324

Productionno

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
18194	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

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
18194	positive	growth	37	mesophilic
30324	positive	optimum	37	mesophilic
67770	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
30324	aerobe
125439	obligate aerobe	98.9

Spore formation

30324

Spore formationno

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
30324	17632 ChEBI	nitrate	+	reduction

Enzymes

@ref	Value	Activity	Ec
30324	catalase	+	1.11.1.6
30324	urease	+	3.5.1.5

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
18194	soil	Hainan Province, Haikou	China	CHN	Asia
67770	Soil	Haikou, Hainan Province	China	CHN	Asia

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
18194	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	ASM1073169v1 assembly for Mycolicibacterium litorale JCM 17423	complete	GCA_010731695	758802.12	8110378607	758802	98.43
66792	ASM2582334v1 assembly for Mycolicibacterium litorale DSM 45785	contig	GCA_025823345	758802.19	8115553003	758802	77.13
67770	ASM436655v1 assembly for Mycolicibacterium litorale CGMCC 4.5724	scaffold	GCA_004366555	758802.10	2681812963	758802	75.64
67770	ASM200774v1 assembly for Mycolicibacterium litorale F4	complete	GCA_002007745		2773857792	758802	74.46

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
18194	Mycobacterium litorale strain F4 16S ribosomal RNA gene, partial sequence	GU997640	1380		758802

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Mycolicibacterium litorale JCM 17423
NCBI: GCA_010731695

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	56.10	no
125439	motility	BacteriaNetⓘ	no	74.20	no
125439	gram_stain	BacteriaNetⓘ	positive	96.20	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: Mycolicibacterium litorale JCM 17423
NCBI: GCA_010731695.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.03	yes
125438	anaerobic	anaerobicⓘ	no	97.27	no
125438	aerobic	aerobicⓘ	yes	89.60	yes
125438	spore-forming	spore-formingⓘ	no	67.79	yes
125438	thermophilic	thermophileⓘ	no	96.50	yes
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	Microbiological features and clinical relevance of new species of the genus Mycobacterium.	Tortoli E.	Clin Microbiol Rev	10.1128/cmr.00035-14	2014
Genetics	Characterization of Mycobacterium salfingeri sp. nov.: A novel nontuberculous mycobacteria isolated from a human wound infection.	Musser E, Smith C, Halse TA, Kohlerschmidt D, Rourke A, Fiero A, Musser KA, Escuyer V, Lapierre P.	Front Microbiol	10.3389/fmicb.2022.992610	2022
Phylogeny	Mycobacterium litorale sp. nov., a rapidly growing mycobacterium from soil.	Zhang Y, Zhang J, Fang C, Pang H, Fan J	Int J Syst Evol Microbiol	10.1099/ijs.0.033449-0	2011

References

#18194	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 45785
#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 )
#26665	IJSEM 1204 2012 ( DOI 10.1099/ijs.0.033449-0 , PubMed 21742818 )
#30324	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #26665
#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 )

Rate our new design

Content

About us

Mycobacterium litorale (DSM 45785, CGMCC 4.5724, JCM 17423)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_010731695

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media