Yersinia pseudotuberculosis (CIP 55.89, ATCC 13979, NCTC 8580)

Name: Yersinia pseudotuberculosis (CIP 55.89, ATCC 13979, NCTC 8580)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 136993

Type strain

Strain Designation 32

Culture col. no. CIP 55.89 ATCC 13979 NCTC 8580 32

NCBI tax ID(s) 633

Special Collections CIP

History CIP <- 1955, G. Girard, Inst. Pasteur, Paris, France, Pasteurella pseudotuberculosis <- E. Thal, Stockholm, Sweden: strain 32

Links

Yersinia pseudotuberculosis 32 is a bacterium that was isolated from Animal, Hare.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 44468

ATCC 13979,NCTC 8580,CIP 55.89

@ref 20215

Last LPSN update 2026-02-09 11:32:47

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Enterobacterales

Family Yersiniaceae

Genus Yersinia

Species Yersinia pseudotuberculosis

Full scientific name Yersinia pseudotuberculosis (Pfeiffer 1889) Smith and Thal 1965 (Approved Lists 1980)

Synonyms (2)

"Bacillus pseudotuberkulosis"
Pasteurella lymphangitidis

BacDive ID	Other strains from **Yersinia pseudotuberculosis** (39)	Type strain
5216	Y. pseudotuberculosis 14, DSM 8992, ATCC 29833, CIP 55.85, NCTC ... (type strain)
11743	Y. pseudotuberculosis 71, A82, I, CNP 14, DSM 22972, ATCC 49635, ...
100264	Y. pseudotuberculosis STI43556(IMET), 749-162,
135167	Y. pseudotuberculosis Prud'homme, CIP A119
135902	Y. pseudotuberculosis CIP 104897, CNY 33054
136976	Y. pseudotuberculosis 16, CIP 55.86
136982	Y. pseudotuberculosis 43, CIP 55.87, NCTC 9508
136988	Y. pseudotuberculosis 25, CIP 55.88, NCTC 8579
138109	Y. pseudotuberculosis CIP 104896, CNY 33053
138857	Y. pseudotuberculosis CIP A120
139464	Y. pseudotuberculosis CIP A1
141221	Y. pseudotuberculosis CCUG 242
141222	Y. pseudotuberculosis CCUG 243
141223	Y. pseudotuberculosis CCUG 244
141224	Y. pseudotuberculosis CCUG 245
141225	Y. pseudotuberculosis CCUG 246 B
141734	Y. pseudotuberculosis CCUG 5854, ATCC 6902, NCTC 1102
141854	Y. pseudotuberculosis CCUG 7803
142828	Y. pseudotuberculosis CCUG 15132
143131	Y. pseudotuberculosis CCUG 17342
143132	Y. pseudotuberculosis CCUG 17344
143133	Y. pseudotuberculosis CCUG 17345
144311	Y. pseudotuberculosis CCUG 24522
144347	Y. pseudotuberculosis CCUG 24690
144878	Y. pseudotuberculosis CCUG 26948
149039	Y. pseudotuberculosis CCUG 36765
149523	Y. pseudotuberculosis CCUG 37902
149524	Y. pseudotuberculosis CCUG 37903
154569	Y. pseudotuberculosis CCUG 54446
154570	Y. pseudotuberculosis CCUG 54447
154571	Y. pseudotuberculosis CCUG 54448
154572	Y. pseudotuberculosis CCUG 54449
154573	Y. pseudotuberculosis CCUG 54450
156179	Y. pseudotuberculosis CCUG 60634
173506	Y. pseudotuberculosis CARE_00005, CIP 111961, IP 32953
173507	Y. pseudotuberculosis CARE_00006, CIP 111962, IP 31758
173508	Y. pseudotuberculosis CARE_00018, CIP 111974, IP 33304
173509	Y. pseudotuberculosis CARE_00019, CIP 111975, IP 34654
173510	Y. pseudotuberculosis CARE_00020, CIP 111976, IP 33620

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	100

Culture and growth conditions

Culture medium

@ref	Name	Growth	Composition	Medium link
36806	MEDIUM 3 - Columbia agar		Columbia agar (39.000 g);distilled water (1000.000 ml)
36806	CIP Medium 3			Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
36806	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	92.7

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
36806	Animal, Hare	Sweden	SWE	Europe

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
36806	2	Risk group (French classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	52592_C01 assembly for Yersinia pseudotuberculosis NCTC8580	contig	GCA_900460685	633.133	8031623975	633	75.57

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Yersinia pseudotuberculosis NCTC8580
NCBI: GCA_900460685

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	84.90	no
125439	motility	BacteriaNetⓘ	yes	69.90	no
125439	gram_stain	BacteriaNetⓘ	negative	81.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	92.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Yersinia pseudotuberculosis strain NCTC8580
PATRIC: 633.133

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	100.00	no
125438	anaerobic	anaerobicⓘ	no	97.84	no
125438	spore-forming	spore-formingⓘ	no	89.33	no
125438	aerobic	aerobicⓘ	no	61.90	no
125438	thermophilic	thermophileⓘ	no	99.99	yes
125438	flagellated	motile2+ⓘ	yes	78.65	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Field-based detection of bacteria using nanopore sequencing: Method evaluation for biothreat detection in complex samples.	Tyler AD, McAllister J, Stapleton H, Gauci P, Antonation K, Thirkettle-Watts D, Corbett CR.	PLoS One	10.1371/journal.pone.0295028	2023
Enzymology	Comprehensive Laboratory Evaluation of a Lateral Flow Assay for the Detection of Yersinia pestis.	Prentice KW, DePalma L, Ramage JG, Sarwar J, Parameswaran N, Petersen J, Yockey B, Young J, Joshi M, Thirunavvukarasu N, Singh A, Chapman C, Avila JR, Pillai CA, Manickam G, Sharma SK, Morse SA, Venkateswaran KV, Anderson K, Hodge DR, Pillai SP.	Health Secur	10.1089/hs.2019.0094	2019
Enzymology	Selective microbial genomic DNA isolation using restriction endonucleases.	Barnes HE, Liu G, Weston CQ, King P, Pham LK, Waltz S, Helzer KT, Day L, Sphar D, Yamamoto RT, Forsyth RA.	PLoS One	10.1371/journal.pone.0109061	2014
Enzymology	Rapid identification of biothreat and other clinically relevant bacterial species by use of universal PCR coupled with high-resolution melting analysis.	Yang S, Ramachandran P, Rothman R, Hsieh YH, Hardick A, Won H, Kecojevic A, Jackman J, Gaydos C.	J Clin Microbiol	10.1128/jcm.00033-09	2009
Enzymology	Molecular method for detection of total coliforms in drinking water samples.	Maheux AF, Boudreau DK, Bisson MA, Dion-Dupont V, Bouchard S, Nkuranga M, Bergeron MG, Rodriguez MJ.	Appl Environ Microbiol	10.1128/aem.00546-14	2014

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 )
#36806	Collection of Institut Pasteur ; Curators of the CIP; CIP 55.89
#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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Yersinia pseudotuberculosis (CIP 55.89, ATCC 13979, NCTC 8580)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900460685

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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