Acetobacter pasteurianus A35 is a mesophilic prokaryote that was isolated from Spoiled beer.
mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Pseudomonadati |
| 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 (9) |
| 67770 | Sample typeSpoiled beer |
Global distribution of 16S sequence AB680052 (>99% sequence identity) for Acetobacter from Microbeatlas ![]()
| @ref | Biosafety level | Biosafety level comment | |
|---|---|---|---|
| 35281 | 1 | Risk group (French classification) |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM385096v1 assembly for Acetobacter pasteurianus NBRC 3299 | contig | 1226665 | 26.92 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 67770 | 52.6 | high performance liquid chromatography (HPLC) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 92.40 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 94.00 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 70.20 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 96.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 96.33 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 89.35 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 89.62 | no |
| 125438 | aerobic | aerobicⓘ | yes | 77.05 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.68 | no |
| 125438 | flagellated | motile2+ⓘ | no | 71.92 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Enzymology | Two NADPH-dependent 2-ketogluconate reductases involved in 2-ketogluconate assimilation in Gluconobacter sp. strain CHM43. | Nakashima S, Matsutani M, Kataoka N, Adachi O, Yamashita R, Matsushita K, Tippayasak U, Theeragool G, Yakushi T. | Appl Environ Microbiol | 10.1128/aem.02501-24 | 2025 | |
| 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 | |
| Enzymology | Real-time quantitative PCR (QPCR) and reverse transcription-QPCR for detection and enumeration of total yeasts in wine. | Hierro N, Esteve-Zarzoso B, Gonzalez A, Mas A, Guillamon JM. | Appl Environ Microbiol | 10.1128/aem.00388-06 | 2006 | |
| Phylogeny | Oceanospirillum sediminis sp. nov., Isolated From Coastal Sediment in the Yellow Sea. | Zhao H, Tian Y, Sun X, Wu Q, Chen S, Shan J, Zhong Y, Chen X, Gao X, Liu S, Wang R, Du Z, Li B, Ji X. | Curr Microbiol | 10.1007/s00284-022-02816-6 | 2022 |
| #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 ) |
| #35281 | Collection of Institut Pasteur ; Curators of the CIP; CIP 103001 |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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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https://doi.org/10.13145/bacdive135988.20251217.10
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