Xanthomonas cassavae VdM 147 is a mesophilic, Gram-negative plant pathogen that was isolated from Manihot esculenta, leaf spots.
Gram-negative mesophilic plant pathogen genome sequence 16S sequence Bacteria|
|
| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Lysobacterales |
| Family Lysobacteraceae |
| Genus Xanthomonas |
| Species Xanthomonas cassavae |
| Full scientific name Xanthomonas cassavae (ex Wiehe and Dowson 1953) Vauterin et al. 1995 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 7804 | NUTRIENT AGAR (DSMZ Medium 1) | Medium recipe at MediaDive | Name: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water |
| @ref | Growth | Type | Temperature (°C) | Range | |
|---|---|---|---|---|---|
| 7804 | positive | growth | 28 | mesophilic |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Plants | #Shrub (Scrub) | |
| #Host Body-Site | #Plant | #Leaf (Phyllosphere) |
| @ref | Sample type | Host species | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 7804 | Manihot esculenta, leaf spots | Manihot esculenta | Malawi | MWI | Africa |
Global distribution of 16S sequence Y10762 (>99% sequence identity) for Xanthomonas from Microbeatlas ![]()
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 97.50 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 82.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 97.80 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 99.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.75 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 98.17 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 88.86 | no |
| 125438 | aerobic | aerobicⓘ | yes | 80.59 | no |
| 125438 | thermophilic | thermophileⓘ | no | 96.98 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 68.19 | no |
| #7804 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 18958 |
| #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 ) |
| #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) . |
| #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 . |
| #86599 | 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 . ( DOI 10.60712/SI-ID5374.1 ) |
| #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 . |
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