Mycoplasmopsis primatum (ATCC 25948, NCTC 10163, HRC 292)

Name: Mycoplasmopsis primatum (ATCC 25948, NCTC 10163, HRC 292)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 168920

Type strain

Strain Designation HRC 292

Culture col. no. ATCC 25948 NCTC 10163 HRC 292

NCBI tax ID(s) 1408468 55604

Links

Mycoplasmopsis primatum HRC 292 is a prokaryote of the family Metamycoplasmataceae.

genome sequence 16S sequence

Name and taxonomic classification

SI-ID 38729

ATCC 25948,NCTC 10163

@ref 20215

Last LPSN update 2025-12-16 10:10:27

Domain Bacillati

Phylum Mycoplasmatota

Class Mollicutes

Order Mycoplasmoidales

Family Metamycoplasmataceae

Genus Mycoplasmopsis

Species Mycoplasmopsis primatum

Full scientific name Mycoplasmopsis primatum (Del Giudice et al. 1971) Gupta et al. 2018

Synonyms (1)

Mycoplasma primatum

Morphology

Cell morphology

@ref	Motility	Confidence
125438		97.745
125439		99.3

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	95.9

Spore formation

@ref	Spore formation	Confidence
125439		97.9
125438		97.781

Isolation, sampling and environmental information

Taxonmaps

69479

Global distribution of 16S sequence AF221118 (>99% sequence identity) for Mycoplasma primatum subclade from Microbeatlas

Aquatic Samples	14
Soil Samples	217
Animal Samples	341
Plant Samples	1
Total Samples	573

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Biosafety level	Biosafety level comment
20215	yes, in single cases	1	Risk group

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM70278v1 assembly for Mycoplasmopsis primatum ATCC 25948	contig	GCA_000702785	1408468.3	2561511078	1408468	64.28

Genome browser: GCA_000702785

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Mycoplasma primatum isolate HRC292(T) 16S ribosomal RNA gene, partial sequence	AF221118	1462		55604
124043	Mycoplasma primatum strain ATCC 25948 16S ribosomal RNA gene, partial sequence; 16S-23S ribosomal RNA intergenic spacer, complete sequence; and 23S ribosomal RNA gene, partial sequence.	AY741672	944		55604

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Mycoplasmopsis primatum ATCC 25948
NCBI: GCA_000702785

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	97.90	no
125439	motility	BacteriaNetⓘ	no	58.10	no
125439	gram_stain	BacteriaNetⓘ	negative	99.30	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	95.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Mycoplasma primatum ATCC 25948
PATRIC: 1408468.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	66.25	no
125438	anaerobic	anaerobicⓘ	no	79.04	no
125438	spore-forming	spore-formingⓘ	no	97.78	no
125438	thermophilic	thermophileⓘ	no	93.25	no
125438	aerobic	aerobicⓘ	no	81.28	no
125438	flagellated	motile2+ⓘ	no	97.75	no

Literature

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 .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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