Acetobacter xylinus DSM 6513 is a mesophilic, Gram-negative, rod-shaped prokaryote that was isolated from mountains ash berries.
Gram-negative rod-shaped mesophilic genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Rhodospirillales |
| Family Acetobacteraceae |
| Genus Acetobacter |
| Species Acetobacter xylinus |
| Full scientific name Acetobacter xylinus corrig. (Brown 1886) Yamada 1984 |
| Synonyms (8) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 2710 | YPM MEDIUM (DSMZ Medium 360) | Medium recipe at MediaDive | Name: YPM MEDIUM (DSMZ Medium 360) Composition: Mannitol 25.0 g/l Agar 12.0 g/l Yeast extract 5.0 g/l Peptone 3.0 g/l Distilled water | ||
| 2710 | GLUCONOBACTER OXYDANS MEDIUM (DSMZ Medium 105) | Medium recipe at MediaDive | Name: GLUCONOBACTER OXYDANS MEDIUM (DSMZ Medium 105) Composition: Glucose 100.0 g/l CaCO3 20.0 g/l Agar 15.0 g/l Yeast extract 10.0 g/l Distilled water | ||
| 36961 | 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) | |||
| 38117 | 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) | |||
| 124001 | CIP Medium 72 | Medium recipe at CIP | |||
| 124001 | CIP Medium 1 | Medium recipe at CIP |
| 67770 | Observationquinones: Q-10 |
| @ref | Metabolite | Is antibiotic | Is sensitive | Is resistant | |
|---|---|---|---|---|---|
| 124001 | 0129 (2,4-Diamino-6,7-di-iso-propylpteridine phosphate) |
| @ref | Value | Activity | Ec | |
|---|---|---|---|---|
| 68382 | acid phosphatase | - | 3.1.3.2 | from API zym |
| 68382 | alkaline phosphatase | - | 3.1.3.1 | from API zym |
| 68382 | alpha-chymotrypsin | - | 3.4.21.1 | from API zym |
| 68382 | alpha-fucosidase | - | 3.2.1.51 | from API zym |
| 68382 | alpha-galactosidase | - | 3.2.1.22 | from API zym |
| 68382 | alpha-glucosidase | - | 3.2.1.20 | from API zym |
| 68382 | alpha-mannosidase | - | 3.2.1.24 | from API zym |
| 68382 | beta-galactosidase | - | 3.2.1.23 | from API zym |
| 124001 | beta-galactosidase | - | 3.2.1.23 | |
| 68382 | beta-glucosidase | - | 3.2.1.21 | from API zym |
| 68382 | beta-glucuronidase | - | 3.2.1.31 | from API zym |
| 124001 | catalase | + | 1.11.1.6 | |
| 68382 | cystine arylamidase | - | 3.4.11.3 | from API zym |
| 68382 | esterase (C 4) | + | from API zym | |
| 68382 | esterase lipase (C 8) | - | from API zym | |
| 124001 | gamma-glutamyltransferase | - | 2.3.2.2 | |
| 124001 | gelatinase | - | ||
| 68382 | leucine arylamidase | - | 3.4.11.1 | from API zym |
| 68382 | lipase (C 14) | - | from API zym | |
| 68382 | N-acetyl-beta-glucosaminidase | - | 3.2.1.52 | from API zym |
| 68382 | naphthol-AS-BI-phosphohydrolase | + | from API zym | |
| 124001 | oxidase | - | ||
| 68382 | trypsin | - | 3.4.21.4 | from API zym |
| 124001 | urease | + | 3.5.1.5 | |
| 68382 | valine arylamidase | - | from API zym |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Plants | #Shrub (Scrub) | |
| #Host | #Plants | #Tree | |
| #Host Body-Site | #Plant | #Fruit (Seed) |
Global distribution of 16S sequence X75619 (>99% sequence identity) for Komagataeibacter from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 67770 | ASM157134v1 assembly for Komagataeibacter xylinus NBRC 15237 | contig | 1220579 | 47.99 | ||||
| 67770 | ASM320791v1 assembly for Komagataeibacter xylinus LMG 1515 | contig | 28448 | 41.03 | ||||
| 124043 | ASM2599461v1 assembly for Komagataeibacter xylinus NBRC 15237 | contig | 1220579 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20218 | Gluconacetobacter xylinus gene for 16S rRNA, partial sequence, strain: JCM 7644 | AB205218 | 1445 | 1234668 | ||
| 20218 | Gluconacetobacter xylinus gene for 16S rRNA, partial sequence, strain: JCM 7644 | AB645737 | 1411 | 1234668 | ||
| 20218 | Gluconacetobacter xylinus gene for 16S rRNA, partial sequence, strain: NBRC 15237 | AB680815 | 1414 | 28448 | ||
| 20218 | Gluconacetobacter xylinus strain LMG 1515 16S ribosomal RNA gene, partial sequence | JF794013 | 1352 | 28448 | ||
| 20218 | Gluconacetobacter xylinus strain LMG 1515T 16S ribosomal RNA gene, partial sequence; 16S-23S ribosomal RNA intergenic spacer, tRNA-Ile and tRNA-Ala genes, complete sequence; and 23S ribosomal RNA gene, partial sequence | KC478458 | 790 | 28448 | ||
| 20218 | Gluconacetobacter xylinus strain DSM 6513T 16S ribosomal RNA gene, partial sequence; 16S-23S ribosomal RNA intergenic spacer, tRNA-Ile and tRNA-Ala genes, complete sequence; and 23S ribosomal RNA gene, partial sequence | KC478459 | 807 | 28448 | ||
| 20218 | A.xylinum DNA for 16S-23S spacer region (NCIB 11664, LMG 1515 strain) | X85405 | 882 | 28448 | ||
| 2710 | Gluconacetobacter xylinus gene for 16S rRNA, partial sequence, strain: NBRC 15237 | AB205216 | 1393 | 28448 | ||
| 2710 | A.xylinum gene for 16S ribosomal RNA | X75619 | 1481 | 28448 | ||
| 124043 | Acetobacter xylinum 16S rRNA, partial sequence. | AB003983 | 155 | 28448 |
| @ref | GC-content (mol%) | Method | |
|---|---|---|---|
| 67770 | 61.8 | high performance liquid chromatography (HPLC) |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate anaerobe | 74.90 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 98.10 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 73.70 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 97.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.00 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 92.96 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 90.06 | no |
| 125438 | aerobic | aerobicⓘ | yes | 77.78 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.07 | no |
| 125438 | flagellated | motile2+ⓘ | no | 59.94 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Improved Adhesion of Bacterial Cellulose on Plasma-Treated Cotton Fabric for Development of All-Cellulose Biocomposites. | Ogrizek L, Lamovsek J, Primc G, Leskovsek M, Vesel A, Mozetic M, Gorjanc M. | Molecules | 10.3390/molecules29215009 | 2024 | ||
| Biosynthesis of Bacterial Nanocellulose from Low-Cost Cellulosic Feedstocks: Effect of Microbial Producer. | Skiba EA, Shavyrkina NA, Skiba MA, Mironova GF, Budaeva VV. | Int J Mol Sci | 10.3390/ijms241814401 | 2023 | ||
| Reproducibility of Bacterial Cellulose Nanofibers Over Sub-Cultured Generations for the Development of Novel Textiles. | Wood J, van der Gast C, Rivett D, Verran J, Redfern J. | Front Bioeng Biotechnol | 10.3389/fbioe.2022.876822 | 2022 | ||
| Enhancing Antioxidant Benefits of Kombucha Through Optimized Glucuronic Acid by Selected Symbiotic Fermentation Culture. | Chou YC, Lin HW, Wang CY, Hsieh CC, Santoso SP, Lin SP, Cheng KC. | Antioxidants (Basel) | 10.3390/antiox13111323 | 2024 | ||
| The Effect of Adding Modified Chitosan on the Strength Properties of Bacterial Cellulose for Clinical Applications. | Lipovka A, Kharchenko A, Dubovoy A, Filipenko M, Stupak V, Mayorov A, Fomenko V, Geydt P, Parshin D. | Polymers (Basel) | 10.3390/polym13121995 | 2021 | ||
| Phylogeny | Exploring the Acetobacteraceae family isolated from kombucha SCOBYs worldwide and comparing yield and characteristics of biocellulose under various fermentation conditions. | Khiabani A, Sarabi-Jamab M, Shakeri MS, Pahlevanlo A, Emadzadeh B. | Sci Rep | 10.1038/s41598-024-77305-w | 2024 | |
| Genetics | Characterization of the Putative Acylated Cellulose Synthase Operon in Komagataeibacter xylinus E25. | Szymczak I, Pietrzyk-Brzezinska AJ, Duszynski K, Ryngajllo M. | Int J Mol Sci | 10.3390/ijms23147851 | 2022 | |
| Phylogeny | 16S rRNA in situ Hybridization Followed by Flow Cytometry for Rapid Identification of Acetic Acid Bacteria Involved in Submerged Industrial Vinegar Production. | Trcek J, Lipoglavsek L, Avgustin G. | Food Technol Biotechnol | 10.17113/ftb.54.01.16.4041 | 2016 | |
| Bacterial Cellulose Properties Fulfilling Requirements for a Biomaterial of Choice in Reconstructive Surgery and Wound Healing. | Jankau J, Blazynska-Spychalska A, Kubiak K, Jedrzejczak-Krzepkowska M, Pankiewicz T, Ludwicka K, Dettlaff A, Peksa R. | Front Bioeng Biotechnol | 10.3389/fbioe.2021.805053 | 2021 | ||
| Metabolism | Towards control of cellulose biosynthesis by Komagataeibacter using systems-level and strain engineering strategies: current progress and perspectives. | Ryngajllo M, Jedrzejczak-Krzepkowska M, Kubiak K, Ludwicka K, Bielecki S. | Appl Microbiol Biotechnol | 10.1007/s00253-020-10671-3 | 2020 | |
| A Comprehensive Study of Biohopanoid Production in Alphaproteobacteria: Biosynthetic, Chemotaxonomical, and Geobiological Implications. | Sinninghe Damste JS, Koenen M, Thiel V, Richter N, Hopmans EC, Bale NJ. | Geobiology | 10.1111/gbi.70038 | 2025 | ||
| Exploration of a novel and efficient source for production of bacterial nanocellulose, bioprocess optimization and characterization. | El-Naggar NE, El-Malkey SE, Abu-Saied MA, Mohammed ABA. | Sci Rep | 10.1038/s41598-022-22240-x | 2022 | ||
| Enzymology | Structural basis of transglucosylation in dextran dextrinase, a homolog of anomer-inverting GH15 glucoside hydrolases. | Tagami T, Saburi W, Sadahiro J, Kumagai Y, Lang W, Matsugaki N, Okuyama M, Mori H, Kimura A. | J Biol Chem | 10.1016/j.jbc.2025.110541 | 2025 | |
| Draft Genome Sequence of Sporolactobacillus inulinus NBRC 111894, Isolated from Kôso, a Japanese Sugar-Vegetable Fermented Beverage. | Chiou TY, Suda W, Oshima K, Hattori M, Matsuzaki C, Yamamoto K, Takahashi T. | Microbiol Resour Announc | 10.1128/mra.00751-19 | 2019 | ||
| Distribution and genome structures of temperate phages in acetic acid bacteria. | Omata K, Hibi N, Nakano S, Komoto S, Sato K, Nunokawa K, Amano S, Ueda K, Takano H. | Sci Rep | 10.1038/s41598-021-00998-w | 2021 | ||
| Improved production of bacterial cellulose by Komagataeibacter europaeus employing fruit extract as carbon source. | Tseng YS, Patel AK, Chen CW, Dong CD, Singhania RR. | J Food Sci Technol | 10.1007/s13197-022-05451-y | 2023 | ||
| Pathogenicity | [Exploiting bioactive Enediynes from marine microbe based on activity and gene screening]. | Pei G, Dai H, Ren B, Liu X, Zhang L. | Wei Sheng Wu Xue Bao | 2010 | ||
| Metabolism | Genome sequencing and phylogenetic analysis of K1G4: a new Komagataeibacter strain producing bacterial cellulose from different carbon sources. | La China S, Bezzecchi A, Moya F, Petroni G, Di Gregorio S, Gullo M | Biotechnol Lett | 10.1007/s10529-020-02811-6 | 2020 | |
| Metabolism | Bacterial cellulose production by Acetobacter xylinum ATCC 23767 using tobacco waste extract as culture medium. | Ye J, Zheng S, Zhang Z, Yang F, Ma K, Feng Y, Zheng J, Mao D, Yang X | Bioresour Technol | 10.1016/j.biortech.2018.12.028 | 2018 | |
| Genetics | Streptomyces antarcticus sp. nov., isolated from Horseshoe Island, Antarctica. | Sahin SM, Saticioglu IB, Duman M, Ay H. | Int J Syst Evol Microbiol | 10.1099/ijsem.0.006856 | 2025 | |
| Phylogeny | Description of Komagataeibacter melaceti sp. nov. and Komagataeibacter melomenusus sp. nov. Isolated from Apple Cider Vinegar. | Maric L, Cleenwerck I, Accetto T, Vandamme P, Trcek J | Microorganisms | 10.3390/microorganisms8081178 | 2020 |
| #2710 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 6513 |
| #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 ) |
| #20218 | Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 ) |
| #36961 | ; Curators of the CIP; |
| #38117 | ; Curators of the CIP; |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #68382 | Automatically annotated from API zym . |
| #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 . |
| #124001 | Collection of Institut Pasteur ; Curators of the CIP; CIP 103107 |
| #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 ) |
You found an error in BacDive? Please tell us about it!
Note that changes will be reviewed and judged. If your changes are legitimate, changes will occur within the next BacDive update. Only proposed changes supported by the according reference will be reviewed. The BacDive team reserves the right to reject proposed changes.
Successfully sent
If you want to cite this particular strain cite the following doi:
https://doi.org/10.13145/bacdive88.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data