Methyloversatilis universalis (DSM 25236, EHg5)

Name: Methyloversatilis universalis (DSM 25236, EHg5)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 13934

Type strain

Strain Designation EHg5

Culture col. no. DSM 25236 EHg5

NCBI tax ID(s) 378211

Special Collections DSMZ

Links

Methyloversatilis universalis EHg5 is a mesophilic prokaryote that was isolated from soil contaminated with chemical industrial wastes.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 404124

DSM 25236

@ref 20215

Last LPSN update 2025-12-16 09:50:13

Domain Pseudomonadati

Phylum Pseudomonadota

Class Betaproteobacteria

Order Spirillales

Family Sterolibacteriaceae

Genus Methyloversatilis

Species Methyloversatilis universalis

Full scientific name Methyloversatilis universalis Kalyuzhnaya et al. 2006

BacDive ID	Other strains from **Methyloversatilis universalis** (4)	Type strain
13935	M. universalis FAM5, DSM 25237, CCUG 52030, JCM 13912 (type strain)
13932	M. universalis Z-1156, DSM 1085
13933	M. universalis 500, FAM500, DSM 25235
153402	M. universalis CCUG 49484

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	98
125439	negative	99.7

Colony morphology

17951

Incubation period3-7 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
17951	MIN E - METHYLOVERSATILIS MEDIUM (DSMZ Medium 1341)		Medium recipe at MediaDive	Name: MIN E - METHYLOVERSATILIS MEDIUM (DSMZ Medium 1341) Composition: Methanol 15.84 g/l Agar 15.0 g/l K2HPO4 1.2 g/l KH2PO4 0.6 g/l (NH4)2SO4 0.5 g/l MgSO4 x 7 H2O 0.165 g/l EDTA 0.1 g/l CaCl2 x 6 H2O 0.05 g/l ZnSO4 x 7 H2O 0.022 g/l NaOH 0.018 g/l CaCl2 x 2 H2O 0.01468 g/l FeSO4 x 7 H2O 0.01 g/l MnCl2 x 4 H2O 0.005 g/l CoCl2 x 6 H2O 0.001 g/l (NH4)6Mo7O24 0.001 g/l CuSO4 x 5 H2O 0.0004 g/l Vitamin B12 Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
17951	positive	growth	28	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98.8

Spore formation

@ref	Spore formation	Confidence
125439		98.1

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Contamination	-
#Engineered	#Waste	#Industrial waste
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
17951	soil contaminated with chemical industrial wastes	Estarreja	Portugal	PRT	Europe

Taxonmaps

69479

Global distribution of 16S sequence AY436796 (>99% sequence identity) for Methyloversatilis from Microbeatlas

Aquatic Samples	19367
Soil Samples	4532
Animal Samples	11480
Plant Samples	3359
Total Samples	38738

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
17951	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	ASM37894v1 assembly for Methyloversatilis universalis EHg5	scaffold	GCA_000378945	999628.3	2515154213	999628	77.46

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
17951	Methyloversatilis universalis 16S ribosomal RNA gene, partial sequence	AY436796	1455		999628

GC content

@ref	GC-content (mol%)	Method
17951	63.5	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Methyloversatilis universalis EHg5
NCBI: GCA_000378945

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.10	no
125439	motility	BacteriaNetⓘ	yes	85.50	no
125439	gram_stain	BacteriaNetⓘ	negative	99.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Methyloversatilis universalis EHg5 EHg5
NCBI: GCA_000378945.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.00	no
125438	anaerobic	anaerobicⓘ	no	91.79	no
125438	aerobic	aerobicⓘ	yes	77.10	no
125438	spore-forming	spore-formingⓘ	no	88.07	no
125438	thermophilic	thermophileⓘ	no	95.28	yes
125438	flagellated	motile2+ⓘ	yes	80.86	no

Literature

References

#17951	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25236
#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 )
#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) .
#69479	João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta .
#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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