Methyloversatilis universalis (DSM 25237, CCUG 52030, JCM 13912)

Name: Methyloversatilis universalis (DSM 25237, CCUG 52030, JCM 13912)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 13935

Type strain

Strain Designation FAM5

Culture col. no. DSM 25237 CCUG 52030 JCM 13912 FAM5

NCBI tax ID(s) 378211

Special Collections DSMZ CCUG JCM

History <- P. De Marco, IBMC - MCA, Univ. Porto; FAM5 <- M. G. Kalyuzhnaya, Univ. of Washington, Seattle, USA M. Kalyuzhnaya FAM5.

Links

Methyloversatilis universalis FAM5 is an aerobe, mesophilic prokaryote that was isolated from top layer of a lake sediment.

aerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 297269

CCUG 52030,JCM 13912,ATCC BAA-1314,DSM 25237

@ref 20215

Last LPSN update 2026-02-09 11:21:16

Domain Bacteria

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
13932	M. universalis Z-1156, DSM 1085
13933	M. universalis 500, FAM500, DSM 25235
13934	M. universalis EHg5, DSM 25236
153402	M. universalis CCUG 49484

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	98.5
125438	negative	97.5

Colony morphology

@ref	Incubation period
17952	2-3 days
59404	2 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
17952	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
17952	positive	growth	28	mesophilic
59404	positive	growth	37	mesophilic
67770	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
59404	aerobe
125439	aerobe	98.2

Spore formation

@ref	Spore formation	Confidence
125439		97.2

Observation

67770

Observationquinones: Q-8

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Lake (large)
#Environmental	#Aquatic	#Sediment

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
17952	top layer of a lake sediment	Lake Washington	USA	USA	North America
59404	Fresh water	Washington,Lake Pristine	USA	USA	North America
67770	The top layer of Lake Washington sediment		USA	USA	North America

Taxonmaps

69479

Global distribution of 16S sequence DQ442273 (>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
17952	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	ASM21403v3 assembly for Methyloversatilis universalis FAM5	contig	GCA_000214035	1000565.3	651324073	1000565	67.49

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
17952	Methyloversatilis universalis strain FAM5 16S ribosomal RNA gene, partial sequence	DQ442273	1391		1000565

GC content

@ref	GC-content (mol%)	Method
17952	65.5	high performance liquid chromatography (HPLC)
67770	65-66	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 FAM5
NCBI: GCA_000214035

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	97.20	no
125439	motility	BacteriaNetⓘ	yes	84.60	no
125439	gram_stain	BacteriaNetⓘ	negative	98.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	98.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Methyloversatilis universalis FAM5
PATRIC: 1000565.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.50	no
125438	anaerobic	anaerobicⓘ	no	92.39	yes
125438	spore-forming	spore-formingⓘ	no	88.37	no
125438	aerobic	aerobicⓘ	yes	78.94	yes
125438	thermophilic	thermophileⓘ	no	95.98	no
125438	flagellated	motile2+ⓘ	yes	79.22	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Metabolism	Specific detection of viable Legionella cells by combined use of photoactivated ethidium monoazide and PCR/real-time PCR.	Chang B, Sugiyama K, Taguri T, Amemura-Maekawa J, Kura F, Watanabe H.	Appl Environ Microbiol	10.1128/aem.00604-08	2009
Phylogeny	Methyloversatilis universalis gen. nov., sp. nov., a novel taxon within the Betaproteobacteria represented by three methylotrophic isolates.	Kalyuzhnaya MG, De Marco P, Bowerman S, Pacheco CC, Lara JC, Lidstrom ME, Chistoserdova L	Int J Syst Evol Microbiol	10.1099/ijs.0.64422-0	2006

References

#17952	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 25237
#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 )
#59404	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 52030
#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;
#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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Methyloversatilis universalis (DSM 25237, CCUG 52030, JCM 13912)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000214035

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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