Xanthomonas pisi VdM 111 is a mesophilic plant pathogen that was isolated from Pisum sativum, leaf spot.
mesophilic plant pathogen genome sequence 16S sequence| @ref 20215 |
|
|
| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Gammaproteobacteria |
| Order Lysobacterales |
| Family Lysobacteraceae |
| Genus Xanthomonas |
| Species Xanthomonas pisi |
| Full scientific name Xanthomonas pisi (ex Goto and Okabe 1958) Vauterin et al. 1995 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 7802 | REACTIVATION WITH LIQUID MEDIUM 1 (DSMZ Medium 1a) | Medium recipe at MediaDive | Name: REACTIVATION WITH LIQUID MEDIUM 1 (DSMZ Medium 1a) 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 | |
|---|---|---|---|---|---|
| 7802 | positive | growth | 28 | mesophilic |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Plants | #Herbaceous plants (Grass,Crops) | |
| #Host Body-Site | #Plant | #Leaf (Phyllosphere) |
| @ref | Sample type | Host species | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 7802 | Pisum sativum, leaf spot | Pisum sativum | Japan | JPN | Asia |
Global distribution of 16S sequence Y10758 (>99% sequence identity) for Xanthomonas from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | |
|---|---|---|---|---|---|---|---|
| 66792 | ASM101041v1 assembly for Xanthomonas pisi DSM 18956 | contig | 1440766 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 98.50 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 89.50 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.30 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 97.30 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 92.99 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 93.66 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 88.07 | no |
| 125438 | aerobic | aerobicⓘ | yes | 80.27 | no |
| 125438 | thermophilic | thermophileⓘ | no | 95.33 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 59.55 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Phylogeny | Rhizobium pisi sv. trifolii K3.22 harboring nod genes of the Rhizobium leguminosarum sv. trifolii cluster. | Marek-Kozaczuk M, Leszcz A, Wielbo J, Wdowiak-Wrobel S, Skorupska A. | Syst Appl Microbiol | 10.1016/j.syapm.2013.01.005 | 2013 | |
| Metabolism | Metabolic Promiscuity of an Orphan Small Alarmone Hydrolase Facilitates Bacterial Environmental Adaptation. | Fung DK, Bai K, Yang J, Xu X, Stevenson DM, Amador-Noguez D, Luo L, Wang JD. | mBio | 10.1128/mbio.02422-22 | 2022 |
| #7802 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 18956 |
| #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) . |
| #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 ) |
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/bacdive17609.20251217.10
When using BacDive for research please cite the following paper
BacDive in 2025: the core database for prokaryotic strain data