Chlamydia pecorum (DSM 27092, P787)

Name: Chlamydia pecorum (DSM 27092, P787)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 23840

Type strain

Strain Designation P787

Culture col. no. DSM 27092 P787

NCBI tax ID(s) 85991

Special Collections DSMZ

History DSMZ <- D. Longbottom, Moredun Res. Inst., Edinburgh, Scotland, UK; P787

Links

Chlamydia pecorum P787 is an animal pathogen that was isolated from synovial fluid of an affected lamb.

animal pathogen genome sequence Bacteria

Name and taxonomic classification

SI-ID 408040

DSM 27092

@ref 20215

Last LPSN update 2026-05-29 08:30:30

Domain Bacteria

Phylum Chlamydiota

Class Chlamydiia

Order Chlamydiales

Family Chlamydiaceae

Genus Chlamydia

Species Chlamydia pecorum

Full scientific name Chlamydia pecorum Fukushi and Hirai 1992

Synonyms (1)

Chlamydophila pecorum

BacDive ID	Other strains from **Chlamydia pecorum** (1)	Type strain
130242	C. pecorum Bo/E58, E58, 14DC102, DSM 29919, ATCC VR-628, ... (type strain)

Morphology

Colony morphology

21077

Incubation period8-14 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
21077	CULTIVATION OF CHLAMYDOPHILA PECORUM (DSMZ Medium 1503)		Medium recipe at MediaDive	Name: CULTIVATION MEDIUM FOR CHLAMYDOPHILA PECORUM (DSMZ Medium 1503) Composition: Aminoacids Fetal bovine serum MEM-Medium

Culture temp

@ref	Growth	Type	Temperature (°C)
21077	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	93.395

Spore formation

@ref	Spore formation	Confidence
125438		93.314
125439		99.701

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Caprinae (Sheep/Goat)
#Host Body Product	#Fluids	#Synovial fluid
#Host	#Juvenile	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
21077	synovial fluid of an affected lamb	Scotland, Edinburgh	United Kingdom	GBR	Europe

Interaction and safety

Risk assessment

@ref	Pathogenicity animal	Biosafety level	Biosafety level comment
21077		2	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM47082v1 assembly for Chlamydia pecorum P787	complete	GCA_000470825	1234369.3	2554235368	1234369	98.71

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM47082v1 assembly for Chlamydia pecorum P787
BV-BRC: 1234369.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	93.40	no
125439	gram_stain	BacteriaNetⓘ	negative	86.57	no
125439	motility	BacteriaNetⓘ	no	70.74	no
125439	spore_formation	BacteriaNetⓘ	no	99.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Chlamydia pecorum P787 P787
NCBI: GCA_000470825.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	84.57	no
125438	anaerobic	anaerobicⓘ	no	64.38	no
125438	aerobic	aerobicⓘ	no	79.24	no
125438	spore-forming	spore-formingⓘ	no	93.31	no
125438	thermophilic	thermophileⓘ	no	92.39	no
125438	flagellated	motile2+ⓘ	no	74.31	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 )
#21077	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 27092
#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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