Erwinia piriflorinigrans (DSM 26166, CECT 7348, CFBP 5888)

Name: Erwinia piriflorinigrans (DSM 26166, CECT 7348, CFBP 5888)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 4404

Type strain

Culture col. no. DSM 26166 CECT 7348 CFBP 5888 IVIA 2057.5

NCBI tax ID(s) 1161919 665097

Special Collections DSMZ Literature strains

History DSMZ <- CECT <- M.M. López, Instituto Valenciano de Investigaciones Agrarias, Spain

Links

Erwinia piriflorinigrans DSM 26166 is a facultative anaerobe, Gram-negative, motile plant pathogen that was isolated from necrotic pear blossoms.

Gram-negative motile rod-shaped facultative anaerobe plant pathogen genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 320313

DSM 26166,CFBP 5888,CECT 7348,LMG 26087

@ref 20215

Last LPSN update 2026-05-29 08:25:55

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Enterobacterales

Family Erwiniaceae

Genus Erwinia

Species Erwinia piriflorinigrans

Full scientific name Erwinia piriflorinigrans López et al. 2011

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
29771	negative	rod-shaped
125439	negative		96.199
125438	negative		99.494

Multimedia

@ref:	18178
multimedia content:	DSM_26166.jpg
multimedia.multimedia content:	https://www.dsmz.de/microorganisms/photos/DSM_26166.jpg
intellectual property rights:	© Leibniz-Institut DSMZ
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
18178	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

Culture temp

@ref	Growth	Type	Temperature (°C)
18178	positive	growth	28
29771	positive	growth	25-30
29771	positive	optimum	25

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
29771	facultative anaerobe
125439	aerobe	95.15

Spore formation

@ref	Spore formation	Confidence
29771
125439		98.866

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68369	17128 ChEBI	adipate	-	assimilation	from API 20NE
29771	16449 ChEBI	alanine	+	carbon source
29771	22599 ChEBI	arabinose	+	carbon source
68369	29016 ChEBI	arginine	-	hydrolysis	from API 20NE
68369	17634 ChEBI	D-glucose	+	assimilation	from API 20NE
68369	17634 ChEBI	D-glucose	+	fermentation	from API 20NE
68369	16899 ChEBI	D-mannitol	+	assimilation	from API 20NE
68369	16024 ChEBI	D-mannose	-	assimilation	from API 20NE
68369	27689 ChEBI	decanoate	-	assimilation	from API 20NE
68369	4853 ChEBI	esculin	+	hydrolysis	from API 20NE
29771	28757 ChEBI	fructose	+	carbon source
29771	33984 ChEBI	fucose	+	carbon source
29771	28260 ChEBI	galactose	+	carbon source
68369	5291 ChEBI	gelatin	-	hydrolysis	from API 20NE
68369	24265 ChEBI	gluconate	+	assimilation	from API 20NE
29771	17234 ChEBI	glucose	+	carbon source
68369	30849 ChEBI	L-arabinose	+	assimilation	from API 20NE
29771	25115 ChEBI	malate	+	carbon source
68369	25115 ChEBI	malate	+	assimilation	from API 20NE
68369	17306 ChEBI	maltose	-	assimilation	from API 20NE
29771	29864 ChEBI	mannitol	+	carbon source
29771	28053 ChEBI	melibiose	+	carbon source
29771	17268 ChEBI	myo-inositol	+	carbon source
29771	506227 ChEBI	N-acetylglucosamine	+	carbon source
68369	59640 ChEBI	N-acetylglucosamine	+	assimilation	from API 20NE
68369	17632 ChEBI	nitrate	-	reduction	from API 20NE
29771	26271 ChEBI	proline	+	carbon source
29771	16634 ChEBI	raffinose	+	carbon source
29771	15963 ChEBI	ribitol	+	carbon source
29771	33942 ChEBI	ribose	+	carbon source
29771	17822 ChEBI	serine	+	carbon source
29771	30031 ChEBI	succinate	+	carbon source
29771	17992 ChEBI	sucrose	+	carbon source
29771	27082 ChEBI	trehalose	+	carbon source
68369	27897 ChEBI	tryptophan	-	energy source	from API 20NE
29771	53424 ChEBI	tween 20	+	carbon source
68369	16199 ChEBI	urea	-	hydrolysis	from API 20NE
29771	18222 ChEBI	xylose	+	carbon source

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68369	35581 ChEBI	indole		from API 20NE

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test
68369	35581 ChEBI	indole	-	from API 20NE

Enzymes

@ref	Value	Activity	Ec
68369	arginine dihydrolase	-	3.5.3.6	from API 20NE
68369	beta-glucosidase	+	3.2.1.21	from API 20NE
29771	catalase	+	1.11.1.6
68369	cytochrome oxidase	-	1.9.3.1	from API 20NE
68369	gelatinase	-		from API 20NE
68369	urease	-	3.5.1.5	from API 20NE

API 20NE

@ref	Reduction of nitratesNO3	TRP	GLU_ Ferm	ADH (Arg)	URE	ESC	GEL	PNPG	GLU_ Assim	ARA	MNE	MAN	NAG	MAL	GNT	CAP	ADI	MLT	CIT	PAC	OX
18178	-	-	+	-	-	+	-	+	+	+	-	+	+	-	+	-	-	+	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Infection	#Inflammation	-
#Host	#Plants	#Tree
#Host Body-Site	#Plant	#Flower

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
18178	necrotic pear blossoms	Valencia	Spain	ESP	Europe

Taxonmaps

69479

Global distribution of 16S sequence GQ405202 (>99% sequence identity) for Erwinia piriflorinigrans from Microbeatlas

Aquatic Samples	1
Soil Samples	1
Animal Samples	47
Plant Samples	9
Total Samples	58

Interaction and safety

Risk assessment

@ref	Pathogenicity plant	Biosafety level	Biosafety level comment
18178		1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM105051v1 assembly for Erwinia piriflorinigrans CFBP 5888	contig	GCA_001050515	1161919.3	2630968383	1161919	73.89

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
18178	Erwinia piriflorinigrans CFBP 5888 strain CECT 7348 16S ribosomal RNA gene, partial sequence	GQ405202	1350		1161919

GC content

18178

GC-content (mol%)51.1

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM105051v1 assembly for Erwinia piriflorinigrans CFBP 5888
NCBI: GCA_001050515

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	95.15	no
125439	gram_stain	BacteriaNetⓘ	negative	96.20	no
125439	motility	BacteriaNetⓘ	yes	73.97	no
125439	spore_formation	BacteriaNetⓘ	no	98.87	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Erwinia piriflorinigrans CFBP 5888
PATRIC: 1161919.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.49	yes
125438	anaerobic	anaerobicⓘ	no	99.16	yes
125438	spore-forming	spore-formingⓘ	no	89.22	yes
125438	aerobic	aerobicⓘ	no	56.81	yes
125438	thermophilic	thermophileⓘ	no	99.00	no
125438	flagellated	motile2+ⓘ	yes	81.75	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Genome sequencing and assessment of plant growth-promoting properties of a Serratia marcescens strain isolated from vermicompost.	Matteoli FP, Passarelli-Araujo H, Reis RJA, da Rocha LO, de Souza EM, Aravind L, Olivares FL, Venancio TM.	BMC Genomics	10.1186/s12864-018-5130-y	2018
	Population genomic analysis of an emerging pathogen Lonsdalea quercina affecting various species of oaks in western North America.	Kozhar O, Sitz RA, Woyda R, Legg L, Ibarra Caballero JR, Pearse IS, Abdo Z, Stewart JE.	Sci Rep	10.1038/s41598-023-41976-8	2023
Genetics	Conservation of Erwinia amylovora pathogenicity-relevant genes among Erwinia genomes.	Borruso L, Salomone-Stagni M, Polsinelli I, Schmitt AO, Benini S.	Arch Microbiol	10.1007/s00203-017-1409-7	2017
Phylogeny	Conventional and real-time PCRs for detection of Erwinia piriflorinigrans allow its distinction from the fire blight pathogen, Erwinia amylovora.	Barbe S, Bertolini E, Rosello M, Llop P, Lopez MM.	Appl Environ Microbiol	10.1128/aem.03626-13	2014
	D-galactan II is an immunodominant antigen in O1 lipopolysaccharide and affects virulence in Klebsiella pneumoniae: implication in vaccine design.	Hsieh PF, Wu MC, Yang FL, Chen CT, Lou TC, Chen YY, Wu SH, Sheu JC, Wang JT.	Front Microbiol	10.3389/fmicb.2014.00608	2014
Genetics	Phylogenetic position and virulence apparatus of the pear flower necrosis pathogen Erwinia piriflorinigrans CFBP 5888T as assessed by comparative genomics.	Smits TH, Rezzonico F, Lopez MM, Blom J, Goesmann A, Frey JE, Duffy B	Syst Appl Microbiol	10.1016/j.syapm.2013.04.003	2013
Genetics	Erwinia wuhanensis sp. nov. isolated from human blood.	Zhang Y, Zhan Y, Yang J, Lu Z.	Front Microbiol	10.3389/fmicb.2025.1675452	2025
Phylogeny	Mixta tenebrionis sp. nov., isolated from the gut of the plastic-eating mealworm Tenebrio molitor L.	Xia M, Wang J, Huo YX, Yang Y	Int J Syst Evol Microbiol	10.1099/ijsem.0.003826	2020
Phylogeny	Erwinia piriflorinigrans sp. nov., a novel pathogen that causes necrosis of pear blossoms.	Lopez MM, Rosello M, Llop P, Ferrer S, Christen R, Gardan L	Int J Syst Evol Microbiol	10.1099/ijs.0.020479-0	2010

References

#18178	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 26166
#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 )
#26151	IJSEM 561 2011 ( DOI 10.1099/ijs.0.020479-0 , PubMed 20382791 )
#29771	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #26151
#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) .
#68369	Automatically annotated from API 20NE .
#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 .
#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 )

Content

About us

Erwinia piriflorinigrans (DSM 26166, CECT 7348, CFBP 5888)

Name and taxonomic classification

Morphology

Cell morphology

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API 20NE

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001050515

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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