Acholeplasma granularum (NBRC 14847, ATCC 19168, NCTC 10128)

Name: Acholeplasma granularum (NBRC 14847, ATCC 19168, NCTC 10128)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 168827

Type strain

Culture col. no. NBRC 14847 ATCC 19168 NCTC 10128 IFO 14847

NCBI tax ID(s) 1278304 264635

Links

Acholeplasma granularum NBRC 14847 is an animal pathogen of the family Acholeplasmataceae.

animal pathogen genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 36880

ATCC 19168,NCTC 10128,IFO 14847,NBRC 14847

@ref 20215

Last LPSN update 2026-05-29 08:46:28

Domain Bacteria

Phylum Mycoplasmatota

Class Mollicutes

Order Acholeplasmatales

Family Acholeplasmataceae

Genus Acholeplasma

Species Acholeplasma granularum

Full scientific name Acholeplasma granularum (Switzer 1964) Edward and Freundt 1970 (Approved Lists 1980)

Synonyms (1)

"Mycoplasma granularum"

Morphology

Cell morphology

@ref	Gram stain	Confidence	Motility
125439	negative	93.628
125438		91.5

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	98.038

Spore formation

@ref	Spore formation	Confidence
125439		93.479

Isolation, sampling and environmental information

Taxonmaps

69479

Global distribution of 16S sequence AY538166 (>99% sequence identity) for Acholeplasma granularum subclade from Microbeatlas

Aquatic Samples	188
Soil Samples	52
Animal Samples	193
Plant Samples	9
Total Samples	442

Interaction and safety

Risk assessment

@ref	Pathogenicity animal	Biosafety level	Biosafety level comment
20215		2	Risk group

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM52623v1 assembly for Acholeplasma granularum ATCC 19168	contig	GCA_000526235	1278304.3	2545824542	1278304	74.85

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Acholeplasma granularum 16S ribosomal RNA gene, partial sequence	AY538166	1409		264635
124043	Acholeplasma granularum 16S ribosomal RNA gene, partial sequence; 16S-23S ribosomal RNA intergenic spacer, complete sequence; and 23S ribosomal RNA gene, partial sequence.	AY786572	770		264635

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM52623v1 assembly for Acholeplasma granularum ATCC 19168
NCBI: GCA_000526235

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	93.48	no
125439	motility	BacteriaNetⓘ	yes	49.02	no
125439	gram_stain	BacteriaNetⓘ	negative	93.63	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	98.04	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Acholeplasma granularum ATCC 19168
PATRIC: 1278304.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	66.71	no
125438	anaerobic	anaerobicⓘ	no	73.51	no
125438	spore-forming	spore-formingⓘ	no	83.46	no
125438	aerobic	aerobicⓘ	no	92.91	no
125438	thermophilic	thermophileⓘ	no	94.62	no
125438	flagellated	motile2+ⓘ	no	91.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Pathogenicity	Antimicrobial activities of 81.723 hfu, a new pleuromutilin derivative.	Drews J, Georgopoulos A, Laber G, Schutze E, Unger J.	Antimicrob Agents Chemother	10.1128/aac.7.5.507	1975
	Flat gel polyacrylamide electrophoresis of porcine mycoplasmas.	Wreghitt TG, Windsor GD, Butler M.	Appl Microbiol	10.1128/am.28.4.530-533.1974	1974

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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Acholeplasma granularum (NBRC 14847, ATCC 19168, NCTC 10128)

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_000526235

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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