Pediococcus pentosaceus (DSM 20280, 243d)

Name: Pediococcus pentosaceus (DSM 20280, 243d)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 6389

Type strain

Strain Designation 243d

Culture col. no. DSM 20280 243d

NCBI tax ID(s) 1255

Special Collections DSMZ

Links

Pediococcus pentosaceus 243d is a mesophilic prokaryote that was isolated from brewery yeast.

mesophilic genome sequence

Name and taxonomic classification

SI-ID 49598

DSM 20280,CCM 3447,BCC 4306,VTT E-88316

@ref 20215

Last LPSN update 2025-12-16 09:48:18

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 ...
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
136496	P. pentosaceus CIP 54.92, ATCC 10791, NCDO 814, NCTC 8066, ...
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
125438		91.5
125438		95.234

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
8687	MRS MEDIUM (DSMZ Medium 11)		Medium recipe at MediaDive	Name: MRS MEDIUM (DSMZ Medium 11) Composition: Glucose 20.0 g/l Casein peptone 10.0 g/l Meat extract 10.0 g/l Na-acetate 5.0 g/l Yeast extract 5.0 g/l (NH4)3 citrate 2.0 g/l K2HPO4 2.0 g/l Tween 80 1.0 g/l MgSO4 x 7 H2O 0.2 g/l MnSO4 x H2O 0.05 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
8687	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	microaerophile	96.3

Spore formation

@ref	Spore formation	Confidence
125438		90.467

Murein

@ref	Murein short key	Type
8687	A11.31	A4alpha L-Lys-D-Asp

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2
#Host	#Yeast

Isolation

8687

Sample typebrewery yeast

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Biosafety level	Biosafety level comment
8687	yes, in single cases	1	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
124043	ASM1612821v1 assembly for Pediococcus pentosaceus FDAARGOS_1010	complete	GCA_016128215	1255.196	1255	87.9
66792	ASM1561331v1 assembly for Pediococcus pentosaceus DSM 20280	scaffold	GCA_015613315	1255.180	1255	53.37

Genome browser: GCA_016128215

GC content

8687

GC-content (mol%)38.7

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Pediococcus pentosaceus strain FDAARGOS_1010
PATRIC: 1255.196

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	microaerophile	96.30	no
125439	gram_stain	BacteriaNetⓘ	variable	69.20	no
125439	motility	BacteriaNetⓘ	no	53.10	no
125439	spore_formation	BacteriaNetⓘ	yes	56.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Pediococcus pentosaceus strain FDAARGOS_1010 strain Not applicable
PATRIC: 1255.196

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	95.23	no
125438	anaerobic	anaerobicⓘ	no	85.13	no
125438	spore-forming	spore-formingⓘ	no	90.47	no
125438	aerobic	aerobicⓘ	no	96.36	no
125438	thermophilic	thermophileⓘ	no	97.41	yes
125438	flagellated	motile2+ⓘ	no	91.50	no

Literature

References

#8687	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20280
#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 )
#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) .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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