Pediococcus pentosaceus (CIP 54.92, ATCC 10791, NCDO 814)

Name: Pediococcus pentosaceus (CIP 54.92, ATCC 10791, NCDO 814)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 136496

Type strain

Culture col. no. CIP 54.92 ATCC 10791 NCDO 814 NCTC 8066 NISL 7105 2 more

NCBI tax ID(s) 1255

Special Collections JCM CIP

History IAM 12296 <-- K. Sakaguchi <-- A. Nakagawa and K. Kitahara <-- C. S. Pederson F-166 ("Pediococcus cerevisiae"). CIP <- 1954, E.A. Felton, Tech. Hoogeschool, Delft, The Netherlands <- C.S. Pederson: strain F 166, Pediococcus cerevisiae

Links

Pediococcus pentosaceus CIP 54.92 is a mesophilic prokaryote that was isolated from Fermenting vegetable.

mesophilic genome sequence

Name and taxonomic classification

SI-ID 92492

LMG 10478,ATCC 10791,NCFB 1814,NCTC 8066,NCDO 814,NCIMB 700814,CIP 54.92,BCRC 10068,CCRC 10068,IAM 12296,JCM 20455

@ref 20215

Last LPSN update 2025-12-16 10:02:35

Domain Bacillati

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Lactobacillaceae

Genus Pediococcus

Species Pediococcus pentosaceus

Full scientific name Pediococcus pentosaceus Mees 1934 (Approved Lists 1980)

BacDive ID	Other strains from **Pediococcus pentosaceus** (40)	Type strain
6393	P. pentosaceus DSM 20336, ATCC 33316, NCDO 990, WDCM 00158, ... (type strain)
6388	P. pentosaceus 32, DSM 20206, ATCC 8081, CCM 1578, NCDO ...
6389	P. pentosaceus 243d, DSM 20280
6390	P. pentosaceus 260a, DSM 20281
6391	P. pentosaceus 247c, DSM 20283
6392	P. pentosaceus P. lin, DSM 20333, ATCC 33314, IFO 3884, ...
6394	P. pentosaceus Coster R 3, CCUG 28436, DSM 46292, CCM 822, ...
130992	P. pentosaceus JM-6755-f-WT, JM-80, DSM 28628
136079	P. pentosaceus CIP 102333
136495	P. pentosaceus CIP 54.91
137006	P. pentosaceus 2001886, CIP 109663
137941	P. pentosaceus CIP 102244
143847	P. pentosaceus CCUG 21536, CCM 2483, ATCC 25745
145700	P. pentosaceus CCUG 29309
148603	P. pentosaceus CCUG 35694
149148	P. pentosaceus CCUG 36942
149342	P. pentosaceus CCUG 37545
149378	P. pentosaceus CCUG 37613
149422	P. pentosaceus CCUG 37701
149670	P. pentosaceus CCUG 38155
150415	P. pentosaceus CCUG 39851
150614	P. pentosaceus CCUG 41759
151859	P. pentosaceus CCUG 45064
152965	P. pentosaceus CCUG 48142
153377	P. pentosaceus CCUG 49383
162731	P. pentosaceus JCM 20076, IAM 1150
162816	P. pentosaceus JCM 2023, TISTR 414
162818	P. pentosaceus JCM 2024, TISTR 415
162831	P. pentosaceus JCM 2026
162843	P. pentosaceus JCM 2028
162847	P. pentosaceus JCM 2029
162855	P. pentosaceus JCM 2030
162865	P. pentosaceus JCM 2031
162869	P. pentosaceus JCM 20314, IAM 10073, IAM 12285
162932	P. pentosaceus JCM 20452, IAM 12293, IFO 3893, NBRC 3893, ...
162933	P. pentosaceus JCM 20453, IAM 12294
162936	P. pentosaceus JCM 20457, IAM 12298, NCDO 992
162937	P. pentosaceus JCM 20458, IAM 12299, NISL 7108
162938	P. pentosaceus JCM 20459, IAM 12300, IFO 3892, NBRC 3892, ...
173384	P. pentosaceus 7837, CRBIP24.170

Morphology

Cell morphology

@ref	Motility	Confidence	Gram stain
125438		90.5
125438		94.768	positive

Culture and growth conditions

Culture medium

@ref	Name	Growth	Composition	Medium link
35917	MEDIUM 41- for Lactobacillus, Leuconostoc, Weissella, Pediococcus, Sporolactobacillus inulinus		Distilled water make up to (1000.000 ml);Man Rogosa Sharp broth (55.000 g)
35917	CIP Medium 41			Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
35917	positive	growth	30	mesophilic
67770	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	96.3

Spore formation

@ref	Spore formation	Confidence
125438		91.063

Isolation, sampling and environmental information

Isolation

@ref	Sample type
67770	Fermenting vegetable
35917	Cucumber pickle fermentation

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
35917	1	Risk group (French classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	54332_C01 assembly for Pediococcus pentosaceus NCTC8066	contig	GCA_900454755	1255.101	2854636379	1255	63.21

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Pediococcus pentosaceus NCTC8066
NCBI: GCA_900454755

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	96.30	no
125439	gram_stain	BacteriaNetⓘ	variable	76.00	no
125439	motility	BacteriaNetⓘ	yes	81.80	no
125439	spore_formation	BacteriaNetⓘ	yes	84.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Pediococcus pentosaceus strain NCTC8066
PATRIC: 1255.101

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	94.77	no
125438	anaerobic	anaerobicⓘ	no	85.27	no
125438	spore-forming	spore-formingⓘ	no	91.06	no
125438	aerobic	aerobicⓘ	no	96.76	no
125438	thermophilic	thermophileⓘ	no	97.41	yes
125438	flagellated	motile2+ⓘ	no	90.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Pathogenicity	Activity of glycopeptides against vancomycin-resistant gram-positive bacteria.	Nicas TI, Cole CT, Preston DA, Schabel AA, Nagarajan R.	Antimicrob Agents Chemother	10.1128/aac.33.9.1477	1989
	Molecular and genetic characterization of a novel bacteriocin locus in Enterococcus avium isolates from infants.	Birri DJ, Brede DA, Forberg T, Holo H, Nes IF.	Appl Environ Microbiol	10.1128/aem.01597-09	2010
	Effect of chitosan in meat preservation.	Darmadji P, Izumimoto M	Meat Sci	10.1016/0309-1740(94)90114-7	1994

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 )
#35917	Collection of Institut Pasteur ; Curators of the CIP; CIP 54.92
#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) .
#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 )

Rate our new design

Content

About us

Pediococcus pentosaceus (CIP 54.92, ATCC 10791, NCDO 814)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900454755

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media