Erwinia phyllosphaerae (JCM 34792, CMYE1, GDMCC 1.2674)

Name: Erwinia phyllosphaerae (JCM 34792, CMYE1, GDMCC 1.2674)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 170081

Type strain

Strain Designation CMYE1

Culture col. no. JCM 34792 CMYE1 GDMCC 1.2674

NCBI tax ID(s) 2853256

Special Collections JCM

Links

Erwinia phyllosphaerae CMYE1 is a bacterium of the family Erwiniaceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 133163

JCM 34792

@ref 20215

Last LPSN update 2026-02-09 11:41:10

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Enterobacterales

Family Erwiniaceae

Genus Erwinia

Species Erwinia phyllosphaerae

Full scientific name Erwinia phyllosphaerae Pan et al. 2022

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	99.5
125438	negative	100

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	aerobe	97.3

Spore formation

@ref	Spore formation	Confidence
125439		98

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1913287v1 assembly for Erwinia phyllosphaerae CMYE1	contig	GCA_019132875	2853256.3	8003146528	2853256	66.05

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Erwinia phyllosphaerae strain CMYE1 16S ribosomal RNA gene, partial sequence	MZ457073	1502		2853256

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Erwinia phyllosphaerae CMYE1
NCBI: GCA_019132875

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.00	no
125439	motility	BacteriaNetⓘ	yes	76.80	no
125439	gram_stain	BacteriaNetⓘ	negative	99.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	97.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Erwinia phyllosphaerae CMYE1
NCBI: GCA_019132875.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	100.00	no
125438	anaerobic	anaerobicⓘ	no	98.80	no
125438	aerobic	aerobicⓘ	no	72.31	no
125438	spore-forming	spore-formingⓘ	no	87.05	no
125438	thermophilic	thermophileⓘ	no	99.25	no
125438	flagellated	motile2+ⓘ	yes	80.11	no

Literature

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) .
#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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