Prevotella oulorum (CCUG 54769, JCM 14966, ATCC 43324)

Name: Prevotella oulorum (CCUG 54769, JCM 14966, ATCC 43324)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 154665

Type strain

Culture col. no. CCUG 54769 JCM 14966 ATCC 43324 NCTC 12747 NCTC 11871 3 more

NCBI tax ID(s) 28136

Special Collections CCUG JCM CIP

History CCUG 54769 <-- NCTC 12747 <-- ATCC 43324 <-- Scott. Anaerobe Ref. Lab. <-- H. N. Shah <-- W. P. Holbrook WPH 179.

Links

Prevotella oulorum CCUG 54769 is an anaerobe, mesophilic prokaryote that was isolated from Human subgingival plaque/gingival crevice.

anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 319360

ATCC 43324,NCTC 12747,CCUG 20177,NCTC 11871,CIP 104477,DSM 19148,JCM 13451,CCUG 54769,JCM 14966

@ref 20215

Last LPSN update 2026-02-09 11:37:27

Domain Bacteria

Phylum Bacteroidota

Class Bacteroidia

Order Bacteroidales

Family Prevotellaceae

Genus Prevotella

Species Prevotella oulorum

Full scientific name Prevotella oulorum corrig. (Shah et al. 1985) Shah and Collins 1990

Synonyms (3)

Segatella oulorum
Prevotella oulora
Bacteroides oulorum

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	97.678
125439	negative	99.5

Colony morphology

60321

Incubation period2 days

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
60321	positive	growth	37	mesophilic
67770	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
60321	anaerobe
125438	anaerobe	91.995

Spore formation

@ref	Spore formation	Confidence
125438		91.953
125439		99.8

Observation

67770

Observationquinones: MK-10, MK-11

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2
#Host	#Human
#Host Body-Site	#Oral cavity and airways
#Infection	#Patient

Isolation

@ref	Sample type
60321	Human subgingival plaque/gingival crevice
67770	Gingival crevices

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	IMG-taxon 2585428083 annotated assembly for Segatella oulorum ATCC 43324	scaffold	GCA_900167385	28136.6	2585428083	28136	60.54
67770	ASM61378v1 assembly for Segatella oulorum JCM 14966	contig	GCA_000613785	1236497.4	2585427905	1236497	14.36

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Prevotella oulorum gene for 16S ribosomal RNA, partial sequence, strain: JCM 14966	AB547702	1491		28136
67770	Prevotella oulora 16S ribosomal RNA gene, partial sequence	L16472	1513		28136

GC content

@ref	GC-content (mol%)	Method
67770	45.1	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Prevotella oulorum ATCC 43324
NCBI: GCA_900167385

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	74.90	no
125439	gram_stain	BacteriaNetⓘ	negative	99.50	no
125439	motility	BacteriaNetⓘ	no	79.60	no
125439	spore_formation	BacteriaNetⓘ	no	99.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Prevotella oulorum JCM 14966
PATRIC: 1236497.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.68	no
125438	anaerobic	anaerobicⓘ	yes	92.00	no
125438	spore-forming	spore-formingⓘ	no	91.95	no
125438	aerobic	aerobicⓘ	no	95.88	yes
125438	thermophilic	thermophileⓘ	no	94.48	yes
125438	flagellated	motile2+ⓘ	no	89.00	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 )
#60321	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 54769
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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