@ref: 20215
BacDive-ID: 168827
keywords: genome sequence, 16S sequence, Bacteria, animal pathogen
description: Acholeplasma granularum NBRC 14847 is an animal pathogen of the family Acholeplasmataceae.
| NCBI tax id | Matching level |
|---|---|
| 1278304 | strain |
| 264635 | species |
doi: 10.13145/bacdive168827.20250331.9.3
@ref: 20215
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)
type strain: yes
| @ref | gram stain | confidence | motility |
|---|---|---|---|
| 125439 | negative | 97.6 | |
| 125438 | 91.5 | no |
| @ref | description | accession | length | database | NCBI tax ID |
|---|---|---|---|---|---|
| 20215 | Acholeplasma granularum 16S ribosomal RNA gene, partial sequence | AY538166 | 1409 | nuccore | 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 | nuccore | 264635 |
| @ref | description | accession | assembly level | database | NCBI tax ID |
|---|---|---|---|---|---|
| 66792 | Acholeplasma granularum ATCC 19168 | GCA_000526235 | contig | ncbi | 1278304 |
| 66792 | Acholeplasma granularum ATCC 19168 | 1278304.3 | wgs | patric | 1278304 |
| @ref | model | trait | description | prediction | confidence | training_data |
|---|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positive | Positive reaction to Gram-staining | yes | 66.713 | no |
| 125438 | anaerobic | anaerobic | Ability to grow under anoxygenic conditions (including facultative anaerobes) | no | 73.507 | no |
| 125438 | spore-forming | spore-forming | Ability to form endo- or exospores | no | 83.458 | no |
| 125438 | aerobic | aerobic | Ability to grow under oxygenic conditions (including facultative aerobes) | no | 92.909 | no |
| 125438 | thermophile | thermophilic | Ability to grow at temperatures above or equal to 45°C | no | 94.616 | no |
| 125438 | motile2+ | flagellated | Ability to perform flagellated movement | no | 91.5 | no |
| 125439 | BacteriaNet | spore_formation | Ability to form endo- or exospores | no | 85.1 | |
| 125439 | BacteriaNet | motility | Ability to perform movement | yes | 58.6 | |
| 125439 | BacteriaNet | gram_stain | Reaction to gram-staining | negative | 97.6 | |
| 125439 | BacteriaNet | oxygen_tolerance | Oxygenic conditions needed for growth | facultative anaerobe | 97.3 |
@ref: 20215
culture collection no.: NBRC 14847, ATCC 19168, NCTC 10128, IFO 14847
| @id | authors | title | doi/url |
|---|---|---|---|
| 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 | 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) | https://diaspora-project.de/progress.html#genomes |
| 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 | https://microbeatlas.org/ |
| 115279 | Reimer, L.C., Lissin, A.,Schober, I., Witte,J.F., Podstawka, A., Lüken, H., Bunk, B.,Overmann, J. | StrainInfo: A central database for resolving microbial strain identifiers | 10.60712/SI-ID36880.1 |
| 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 | 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 | https://github.com/GenomeNet/deepG |
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