Methyloversatilis discipulorum (VKM B-2888, JCM 30542)

Name: Methyloversatilis discipulorum (VKM B-2888, JCM 30542)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 163816

Type strain

Culture col. no. VKM B-2888 JCM 30542

NCBI tax ID(s) 1119528

Special Collections JCM

Links

Methyloversatilis discipulorum JCM 30542 is a mesophilic prokaryote that was isolated from Sediment of the freshwater Lake Washington.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 133737

JCM 30542,VKM B-2888

@ref 20215

Last LPSN update 2025-12-16 10:09:18

Domain Pseudomonadati

Phylum Pseudomonadota

Class Betaproteobacteria

Order Spirillales

Family Sterolibacteriaceae

Genus Methyloversatilis

Species Methyloversatilis discipulorum

Full scientific name Methyloversatilis discipulorum Smalley et al. 2015

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	99.8
125438	negative	98.5

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
67770	positive	growth	27	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98.9

Spore formation

@ref	Spore formation	Confidence
125439		98.3

Isolation, sampling and environmental information

Isolation

67770

Sample typeSediment of the freshwater Lake Washington

Taxonmaps

69479

Global distribution of 16S sequence NR_136517 (>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

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM52713v1 assembly for Methyloversatilis discipulorum FAM1	contig	GCA_000527135	1119528.3	2516653080	1119528	79.45

Genome browser: GCA_000527135

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Methyloversatilis discipulorum strain FAM1 16S ribosomal RNA, complete sequence	NR_136516	1533		1119528
67770	Methyloversatilis discipulorum strain FAM1 16S ribosomal RNA, complete sequence	NR_136517	1533		1119528

GC content

@ref	GC-content (mol%)	Method
67770	66.6	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Methyloversatilis discipulorum FAM1
NCBI: GCA_000527135

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.30	no
125439	motility	BacteriaNetⓘ	yes	85.60	no
125439	gram_stain	BacteriaNetⓘ	negative	99.80	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: Methyloversatilis discipulorum FAM1
NCBI: GCA_000527135.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.50	no
125438	anaerobic	anaerobicⓘ	no	91.04	no
125438	aerobic	aerobicⓘ	yes	77.59	no
125438	spore-forming	spore-formingⓘ	no	87.37	no
125438	thermophilic	thermophileⓘ	no	97.00	yes
125438	flagellated	motile2+ⓘ	yes	82.93	no

Literature

Title	Authors	Journal	DOI	Year
Propane-driven efficient BPA degradation in groundwater: Transformation pathways, microbial ecology and enzymatic mechanisms in a membrane biofilm reactor.	Ouyang S, Zhao HP, Lai CY.	J Hazard Mater	10.1016/j.jhazmat.2025.140214	2025
Dynamics of the intratumoural microbiome across malignant transformation and treatment in breast cancer.	Quan L, Shi M, Yang Z, Rong H, Zhou J, Sang D, Xu J, Yue J, Chen S, Liu J, Yuan P.	Clin Transl Med	10.1002/ctm2.70492	2025
Metagenomics and volatile metabolomics reveal microbial succession and flavor formation mechanisms during fermentation of Novel Pasture-style Laozao.	Miao Y, Sun M, Huo R, Chen Y, Xie J, Dong T, Zhang M.	Food Chem X	10.1016/j.fochx.2025.102598	2025
Dynamic changes of gut microbiota in Oncomelania hupensis caused by Schistosoma japonicum infection	Hong A, Huang S, Zhang M, Chen H, Huang J, Yu Z.	Comparative Immunology Reports		2025
Heatwave-Induced Thermal Stratification Shaping Microbial-Algal Communities Under Different Climate Scenarios as Revealed by Long-Read Sequencing and Imaging Flow Cytometry.	Meirkhanova A, Zhumakhanova A, Len P, Schoenbach C, Levi EE, Jeppesen E, Davidson TA, Barteneva NS.	Toxins (Basel)	10.3390/toxins17080370	2025
Electron acceptors modulate methane oxidation and active methanotrophic communities in anoxic urban wetland sediments.	Yang R, Peng C, Mo Y, Kleindienst S, Li S, Wang J, Kappler A, Wang Z, Lu L.	Appl Environ Microbiol	10.1128/aem.00386-25	2025
Integrative metagenomic, transcriptomic, and proteomic analysis reveal the microbiota-host interplay in early-stage lung adenocarcinoma among non-smokers.	Sun Y, Gan Z, Wang X, Liu J, Zhong W, Zhang Z, Zuo J, Zhong H, Huang X, Yan Z, Cao Q.	J Transl Med	10.1186/s12967-024-05485-0	2024
The Structure of Stable Cellulolytic Consortia Isolated from Natural Lignocellulosic Substrates.	Gladkov GV, Kimeklis AK, Afonin AM, Lisina TO, Orlova OV, Aksenova TS, Kichko AA, Pinaev AG, Andronov EE.	Int J Mol Sci	10.3390/ijms231810779	2022
Metagenomic Analysis Reveals Variations in Gut Microbiomes of the Schistosoma mansoni-Transmitting Snails Biomphalaria straminea and Biomphalaria glabrata.	Li P, Hong J, Wu M, Yuan Z, Li D, Wu Z, Sun X, Lin D.	Microorganisms	10.3390/microorganisms11102419	2023
Rare earth element alcohol dehydrogenases widely occur among globally distributed, numerically abundant and environmentally important microbes.	Huang J, Yu Z, Groom J, Cheng JF, Tarver A, Yoshikuni Y, Chistoserdova L.	ISME J	10.1038/s41396-019-0414-z	2019
Associated bacteria of Botryococcus braunii (Chlorophyta).	Gouveia JD, Lian J, Steinert G, Smidt H, Sipkema D, Wijffels RH, Barbosa MJ.	PeerJ	10.7717/peerj.6610	2019
Biogeochemical and historical drivers of microbial community composition and structure in sediments from Mercer Subglacial Lake, West Antarctica.	Davis CL, Venturelli RA, Michaud AB, Hawkings JR, Achberger AM, Vick-Majors TJ, Rosenheim BE, Dore JE, Steigmeyer A, Skidmore ML, Barker JD, Benning LG, Siegfried MR, Priscu JC, Christner BC, SALSA Science Team.	ISME Commun	10.1038/s43705-023-00216-w	2023
Current Bacterial Gene Encoding Capsule Biosynthesis Protein CapI Contains Nucleotides Derived from Exonization.	Wang Y, Tao XF, Su ZX, Liu AK, Liu TL, Sun L, Yao Q, Chen KP, Gu X.	Evol Bioinform Online	10.4137/ebo.s40703	2016
Phylogenomics of Rhodocyclales and its distribution in wastewater treatment systems.	Wang Z, Li W, Li H, Zheng W, Guo F.	Sci Rep	10.1038/s41598-020-60723-x	2020
Species-resolved sequencing of low-biomass or degraded microbiomes using 2bRAD-M.	Sun Z, Huang S, Zhu P, Tzehau L, Zhao H, Lv J, Zhang R, Zhou L, Niu Q, Wang X, Zhang M, Jing G, Bao Z, Liu J, Wang S, Xu J.	Genome Biol	10.1186/s13059-021-02576-9	2022
Primary Colonizing Betaproteobacteriales Play a Key Role in the Growth of Legionella pneumophila in Biofilms on Surfaces Exposed to Drinking Water Treated by Slow Sand Filtration.	van der Kooij D, Veenendaal HR, Italiaander R, van der Mark EJ, Dignum M.	Appl Environ Microbiol	10.1128/aem.01732-18	2018
Biofilm Composition and Threshold Concentration for Growth of Legionella pneumophila on Surfaces Exposed to Flowing Warm Tap Water without Disinfectant.	van der Kooij D, Bakker GL, Italiaander R, Veenendaal HR, Wullings BA.	Appl Environ Microbiol	10.1128/aem.02737-16	2017
Functional and genomic diversity of methylotrophic Rhodocyclaceae: description of Methyloversatilis discipulorum sp. nov.	Smalley NE, Taipale S, De Marco P, Doronina NV, Kyrpides N, Shapiro N, Woyke T, Kalyuzhnaya MG	Int J Syst Evol Microbiol	10.1099/ijs.0.000190	2015

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 )
#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 discipulorum (VKM B-2888, JCM 30542)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_000527135

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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