Acetobacter papayae JCM 25143 is a mesophilic prokaryote that was isolated from Papaya in Okinawa,.
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 papayae |
| Full scientific name Acetobacter papayae Iino et al. 2013 |
| BacDive ID | Other strains from Acetobacter papayae (1) | Type strain |
|---|---|---|
| 163332 | A. papayae JCM 25144, NRIC 0656 |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 67770 | positive | growth | 30 | mesophilic |
| @ref | Sample type | Host species | Sampling date | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|---|
| 67770 | Papaya (fruit) (Carica papaya) in Okinawa,(2004) | Carica papaya | 2004 | Japan | JPN | Asia |
Global distribution of 16S sequence AB665066 (>99% sequence identity) for Acetobacter from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | Acetobacter papayae JCM 25143 | contig | 1234671 | 21.4 | ||||
| 67770 | ASM61328v1 assembly for Acetobacter papayae JCM 25143 | contig | 1234671 | 18.58 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 67770 | 60.5 | high performance liquid chromatography (HPLC) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | aerobe | 89.40 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.70 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 93.60 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 99.20 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 95.83 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 86.93 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 93.36 | no |
| 125438 | aerobic | aerobicⓘ | yes | 71.46 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.80 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 66.75 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Evaluation of microbiota-induced changes in biochemical, sensory properties and volatile profile of kombucha produced by reformed microbial community. | Kilmanoglu H, Yigit Cinar A, Durak MZ. | Food Chem X | 10.1016/j.fochx.2024.101469 | 2024 | ||
| Enrichment of Aquatic Xylan-Degrading Microbial Communities. | Gaenssle ALO, Bertran-Llorens S, Deuss PJ, Jurak E. | Microorganisms | 10.3390/microorganisms12081715 | 2024 | ||
| A Review on the Interaction of Acetic Acid Bacteria and Microbes in Food Fermentation: A Microbial Ecology Perspective. | Han D, Yang Y, Guo Z, Dai S, Jiang M, Zhu Y, Wang Y, Yu Z, Wang K, Rong C, Yu Y. | Foods | 10.3390/foods13162534 | 2024 | ||
| Microbial Dynamics between Yeasts and Acetic Acid Bacteria in Kombucha: Impacts on the Chemical Composition of the Beverage. | Tran T, Grandvalet C, Verdier F, Martin A, Alexandre H, Tourdot-Marechal R. | Foods | 10.3390/foods9070963 | 2020 | ||
| Shedding Light on the Formation and Structure of Kombucha Biofilm Using Two-Photon Fluorescence Microscopy. | Tran T, Grandvalet C, Winckler P, Verdier F, Martin A, Alexandre H, Tourdot-Marechal R. | Front Microbiol | 10.3389/fmicb.2021.725379 | 2021 | ||
| Microbial Interactions in Kombucha through the Lens of Metabolomics. | Tran T, Roullier-Gall C, Verdier F, Martin A, Schmitt-Kopplin P, Alexandre H, Grandvalet C, Tourdot-Marechal R. | Metabolites | 10.3390/metabo12030235 | 2022 | ||
| Comprehensive deciphering prophages in genus Acetobacter on the ecology, genomic features, toxin-antitoxin system, and linkage with CRISPR-Cas system. | Qian C, Ma J, Liang J, Zhang L, Liang X. | Front Microbiol | 10.3389/fmicb.2022.951030 | 2022 | ||
| Reconstruction of Simplified Microbial Consortia to Modulate Sensory Quality of Kombucha Tea. | Ferremi Leali N, Binati RL, Martelli F, Gatto V, Luzzini G, Salini A, Slaghenaufi D, Fusco S, Ugliano M, Torriani S, Salvetti E. | Foods | 10.3390/foods11193045 | 2022 | ||
| Genetics | Analysis of 1,000+ Type-Strain Genomes Substantially Improves Taxonomic Classification of Alphaproteobacteria. | Hordt A, Lopez MG, Meier-Kolthoff JP, Schleuning M, Weinhold LM, Tindall BJ, Gronow S, Kyrpides NC, Woyke T, Goker M. | Front Microbiol | 10.3389/fmicb.2020.00468 | 2020 | |
| Acetobacter suratthanensis sp. nov., an acetic acid bacterium isolated in Thailand | Pitiwittayakul N, Theeragool G, Yukphan P, Chaipitakchonlatarn W, Malimas T, Muramatsu Y, Tanasupawat S, Nakagawa Y, Yamada Y. | Ann Microbiol | 2016 | |||
| Phylogeny | Acetobacter okinawensis sp. nov., Acetobacter papayae sp. nov., and Acetobacter persicus sp. nov.; novel acetic acid bacteria isolated from stems of sugarcane, fruits, and a flower in Japan. | Iino T, Suzuki R, Kosako Y, Ohkuma M, Komagata K, Uchimura T. | J Gen Appl Microbiol | 10.2323/jgam.58.235 | 2012 | |
| Phylogeny | Acetobacter garciniae sp. nov., an acetic acid bacterium isolated from fermented mangosteen peel in Thailand. | Yukphan P, Charoenyingcharoen P, Kingcha Y, Likhitrattanapisal S, Muangham S, Tanasupawat S, Yamada Y | Int J Syst Evol Microbiol | 10.1099/ijsem.0.005052 | 2021 |
| #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) . |
| #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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If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive163331.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data