Xanthomonas euvesicatoria (LMG 495, ICPB 10701, ATCC 11765)

Name: Xanthomonas euvesicatoria (LMG 495, ICPB 10701, ATCC 11765)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 168641

Type strain

Culture col. no. LMG 495 ICPB 10701 ATCC 11765 ICMP 15807

NCBI tax ID(s) 366650

Links

Xanthomonas euvesicatoria LMG 495 is a plant pathogen of the family Lysobacteraceae.

plant pathogen genome sequence 16S sequence

Name and taxonomic classification

SI-ID 5195

LMG 495,ATCC 11765,ICMP 15807,NCPPB 4412,CFBP 7686

@ref 20215

Last LPSN update 2026-02-09 11:40:51

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Lysobacterales

Family Lysobacteraceae

Genus Xanthomonas

Species Xanthomonas euvesicatoria

Full scientific name Xanthomonas euvesicatoria Jones et al. 2006

Synonyms (2)

Xanthomonas perforans
Xanthomonas alfalfae

BacDive ID	Other strains from **Xanthomonas euvesicatoria** (1)	Type strain
17613	X. euvesicatoria DSM 19128, ATCC 11633, LMG 27970, NCPPB 2968, ... (type strain)

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	99.3
125438	negative	98.469

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	99.6

Spore formation

@ref	Spore formation	Confidence
125439		98.7

Isolation, sampling and environmental information

Taxonmaps

69479

Global distribution of 16S sequence JX986954 (>99% sequence identity) for Xanthomonas from Microbeatlas

Aquatic Samples	6826
Soil Samples	10026
Animal Samples	28252
Plant Samples	7048
Total Samples	52152

Interaction and safety

Risk assessment

@ref	Pathogenicity plant	Biosafety level	Biosafety level comment
20215		1	Risk group

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID
66792	Xaa_LMG495 assembly for Xanthomonas euvesicatoria pv. alfalfae LMG 495	contig	GCA_001401625	359387.4	2645727690	359387

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Xanthomonas alfalfae subsp. alfalfae strain LMG 495 16S ribosomal RNA gene, partial sequence	JX986954	1499		359387
124043	Xanthomonas alfalfae subsp. alfalfae 16S ribosomal RNA gene and 16S-23S ribosomal RNA intergenic spacer, partial sequence.	DQ660896	519		359387

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Xanthomonas euvesicatoria pv. alfalfae LMG 495
NCBI: GCA_001401625

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.70	no
125439	motility	BacteriaNetⓘ	yes	86.50	no
125439	gram_stain	BacteriaNetⓘ	negative	99.30	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Xanthomonas alfalfae subsp. alfalfae strain LMG 495
PATRIC: 359387.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.47	no
125438	anaerobic	anaerobicⓘ	no	97.86	no
125438	spore-forming	spore-formingⓘ	no	88.92	no
125438	aerobic	aerobicⓘ	yes	87.17	no
125438	thermophilic	thermophileⓘ	no	99.91	no
125438	flagellated	motile2+ⓘ	yes	71.26	no

Literature

Title	Authors	Journal	DOI	Year
Phylogenetic Distribution and Evolution of Type VI Secretion System in the Genus Xanthomonas.	Liyanapathiranage P, Wagner N, Avram O, Pupko T, Potnis N.	Front Microbiol	10.3389/fmicb.2022.840308	2022

References

#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 )

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Xanthomonas euvesicatoria (LMG 495, ICPB 10701, ATCC 11765)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001401625

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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