Mesoplasma tabanidae (BARC 857, ATCC 49584)

Name: Mesoplasma tabanidae (BARC 857, ATCC 49584)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 168212

Type strain

Strain Designation BARC 857

Culture col. no. BARC 857 ATCC 49584

NCBI tax ID(s) 219745

Links

Mesoplasma tabanidae BARC 857 is a bacterium of the family Mycoplasmataceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 42566

ATCC 49584

@ref 20215

Last LPSN update 2026-05-29 08:46:19

Domain Bacteria

Phylum Mycoplasmatota

Class Mollicutes

Order Mycoplasmatales

Family Mycoplasmataceae

Genus Mesoplasma

Species Mesoplasma tabanidae

Full scientific name Mesoplasma tabanidae Tully et al. 1994

Synonyms (1)

"Entomoplasma tabanidae"

Morphology

Cell morphology

@ref	Gram stain	Confidence	Motility
125439	negative	96.841
125438		95.705

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	97.142

Spore formation

@ref	Spore formation	Confidence
125438		97.861
125439		95.584

Isolation, sampling and environmental information

Taxonmaps

69479

Global distribution of 16S sequence AY187288 (>99% sequence identity) for Mesoplasma from Microbeatlas

Aquatic Samples	7
Soil Samples	2
Animal Samples	76
Plant Samples	5
Total Samples	90

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
20215	1	Risk group

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM280402v1 assembly for Mesoplasma tabanidae BARC 857	complete	GCA_002804025	219745.3	2775506889	219745	99.34

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Mesoplasma tabanidae 16S ribosomal RNA gene, partial sequence	AY187288	1506		219745

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM280402v1 assembly for Mesoplasma tabanidae BARC 857
BV-BRC: 219745.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	motility	BacteriaNetⓘ	yes	46.84	no
125439	gram_stain	BacteriaNetⓘ	negative	96.84	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	97.14	no
125439	spore_formation	BacteriaNetⓘ	no	95.58	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mesoplasma tabanidae BARC 857
NCBI: GCA_002804025.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	69.45	no
125438	anaerobic	anaerobicⓘ	no	86.49	no
125438	aerobic	aerobicⓘ	no	92.44	no
125438	spore-forming	spore-formingⓘ	no	97.86	no
125438	thermophilic	thermophileⓘ	no	97.90	no
125438	flagellated	motile2+ⓘ	no	95.71	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Mesoplasma florum: a near-minimal model organism for systems and synthetic biology.	Matteau D, Duval A, Baby V, Rodrigue S.	Front Genet	10.3389/fgene.2024.1346707	2024
Cultivation	Taxonomic descriptions of eight new non-sterol-requiring mollicutes assigned to the genus Mesoplasma.	Tully JG, Whitcomb RF, Hackett KJ, Rose DL, Henegar RB, Bove JM, Carle P, Williamson DL, Clark TB	Int J Syst Bacteriol	10.1099/00207713-44-4-685	1994

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 )
#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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Mesoplasma tabanidae (BARC 857, ATCC 49584)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_002804025

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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