Acetobacter pasteurianus CIP 103000 is a bacterium of the family Acetobacteraceae.
genome sequence 16S sequence Bacteria| @ref 20215 |
|
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Rhodospirillales |
| Family Acetobacteraceae |
| Genus Acetobacter |
| Species Acetobacter pasteurianus |
| Full scientific name Acetobacter pasteurianus (Hansen 1879) Beijerinck and Folpmers 1916 (Approved Lists 1980) |
| Synonyms (8) |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125438 | negative | 96.333 |
| @ref | Name | Growth | Composition | Medium link | |
|---|---|---|---|---|---|
| 35280 | MEDIUM 1 - for Acetobacter, Azotobacter, Gluconobacter, Gluconacetobacter, Mesorhizodium ciceri and Pseudomonas doudoroffii | Distilled water make up to (1000.000 ml);Agar (15.000 g);Yeast extract (5.000 g);Peptone (3.000 g);Mannitol (25.000 g) | |||
| 35280 | CIP Medium 1 | Medium recipe at CIP |
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 35280 | 1 | Risk group (French classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM385082v1 assembly for Acetobacter pasteurianus NBRC 3188 | contig | 1226663 | 32.14 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 124043 | Acetobacter pasteurianus gene for 16S rRNA, partial sequence, strain: NBRC 3188. | AB680025 | 1413 | 438 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 83.23 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 88.46 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 69.85 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.35 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 96.33 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 88.08 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 92.34 | no |
| 125438 | aerobic | aerobicⓘ | yes | 75.00 | no |
| 125438 | thermophilic | thermophileⓘ | no | 95.71 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 59.40 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Comparative Genomic Analysis of Closely Related Acetobacter pasteurianus Strains Provides Evidence of Horizontal Gene Transfer and Reveals Factors Necessary for Thermotolerance. | Matsutani M, Matsumoto N, Hirakawa H, Shiwa Y, Yoshikawa H, Okamoto-Kainuma A, Ishikawa M, Kataoka N, Yakushi T, Matsushita K. | J Bacteriol | 10.1128/jb.00553-19 | 2020 |
| #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 ) |
| #35280 | Collection of Institut Pasteur ; Curators of the CIP; CIP 103000 |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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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https://doi.org/10.13145/bacdive135987.20260601.11
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