Pediococcus acidilactici (DSM 20238, ATCC 8042, CCM 2425)

Name: Pediococcus acidilactici (DSM 20238, ATCC 8042, CCM 2425)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 6380

Type strain

Strain Designation P-60

Culture col. no. DSM 20238 ATCC 8042 CCM 2425 NCDO 521 NCIMB 6990 12 more

NCBI tax ID(s) 1254

Special Collections DSMZ JCM CIP

History <- ATCC <- R.P. Tittsler (Pediococcus cerevisiae) <- E.E. Snell, P-60 (Leuconostoc mesenteroides) IAM 1233 <-- ATU L-12 <-- ATCC 8042 <-- R. P. Tittsler ("Pediococcus cerevisiae") <-- E. E. Snell P-60 (Leuconostoc mesenteroides). CIP <- 1954, NCIB <- R.P. Tittsler, Pediococcus cerevisiae <- E. Snell, Leuconostoc mesenteroides: strain P-60

Links

Pediococcus acidilactici P-60 is a facultative anaerobe, Gram-positive, coccus-shaped bacterium of the family Lactobacillaceae.

Gram-positive coccus-shaped facultative anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 92368

LMG 6411,ATCC 8042,CCM 2425,CCRC 11063,CCUG 21534,CECT 98,CNCTC 2,IAM 1233,IFO 3076,LMG 10637,LMG 10739,NCFB 521,NCIMB 6990,NCIMB 7881,NCIMB 8018,NCIMB 8031,NCTC 6990,NCIB 6990,NCIB 7881,NCIB 8018,NCIB 8031,NCDO 521,VKM B-582,CIP 54.167,KCTC 1626,NCTC 7881,NCTC 8018,NCCB 46044,LMD 46.44,CECT 5930,NBRC 3076,BCRC 11063,CCT 2699,CCT 0585,CCT 2553,NCIM 2292,CDBB 67,NRRL B-1116,NRRL B-2039,CNCTC 6987,CGMCC 1.0004,JCM 20119,DSM 20238

@ref 20215

Last LPSN update 2026-02-09 11:19:12

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Lactobacillaceae

Genus Pediococcus

Species Pediococcus acidilactici

Full scientific name Pediococcus acidilactici Lindner 1887 (Approved Lists 1980)

Synonyms (1)

Pediococcus lolii

BacDive ID	Other strains from **Pediococcus acidilactici** (33)	Type strain
6381	P. acidilactici B213c, B213 c. Barley, DSM 20284, KCTC 13734, ... (type strain)
6379	P. acidilactici DSM 19927, JCM 15055, LMG 27029, NGRI 0510Q, ...
100075	P. acidilactici STI09053(IMET), 1028-003,
100076	P. acidilactici STI09054(IMET), 1028-004,
100077	P. acidilactici STI09055(IMET), 1028-005,
100078	P. acidilactici STI09057(IMET), 1029-025,
137862	P. acidilactici 906-85, CIP 101954
137940	P. acidilactici CIP 102243
137969	P. acidilactici CIP 102334
139767	P. acidilactici 7/4A, 7_4, DSM 25404
141184	P. acidilactici CCUG 35
144734	P. acidilactici CCUG 26412
145344	P. acidilactici CCUG 28233
145422	P. acidilactici CCUG 28437, CCM 2482, ATCC 25743
146139	P. acidilactici CCUG 30439
147105	P. acidilactici CCUG 32870
150103	P. acidilactici CCUG 38997
151898	P. acidilactici CCUG 45146
152315	P. acidilactici CCUG 46409
153422	P. acidilactici CCUG 49523
155338	P. acidilactici CCUG 57368
155826	P. acidilactici CCUG 59409
162780	P. acidilactici JCM 2014
162858	P. acidilactici JCM 20303, IAM 10061
162874	P. acidilactici JCM 2032, TISTR 424
162927	P. acidilactici JCM 20445, IAM 12283, IFO 3888, NBRC 3888, ...
162931	P. acidilactici JCM 20451, IAM 12292
162934	P. acidilactici JCM 20454, IAM 12295, NCDO 991
162935	P. acidilactici JCM 20456, IAM 12297, NISL 7114
162941	P. acidilactici JCM 20463, IAM 12304
170952	P. acidilactici CRBIP24.174
174542	P. acidilactici 114637, DSM 114637
174543	P. acidilactici AGR20, DSM 117464

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
116001	positive	coccus-shaped
125438			92.5
125438	positive		93.549

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
8649	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
35224	MEDIUM 41- for Lactobacillus, Leuconostoc, Weissella, Pediococcus, Sporolactobacillus inulinus		Distilled water make up to (1000.000 ml);Man Rogosa Sharp broth (55.000 g)
116001	CIP Medium 41	Medium recipe at CIP
116001	CIP Medium 40	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
8649	positive	growth	30
35224	positive	growth	37
67770	positive	growth	30
116001	positive	growth	25-45

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
116001	facultative anaerobe
125439	microaerophile	96

Spore formation

@ref	Spore formation	Confidence
125438		91.376

Murein

@ref	Murein short key	Type
8649	A11.31	A4alpha L-Lys-D-Asp

Observation

67770

ObservationAssay of Panthenol, amino acids, pantothenic acid, pyridoxal (vitamin B₆ requirement)

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68371	27613 ChEBI	amygdalin	-	builds acid from	from API 50CH acid
68371	17057 ChEBI	cellobiose	+	builds acid from	from API 50CH acid
68371	17108 ChEBI	D-arabinose	-	builds acid from	from API 50CH acid
68371	18333 ChEBI	D-arabitol	-	builds acid from	from API 50CH acid
68371	15824 ChEBI	D-fructose	+	builds acid from	from API 50CH acid
68371	28847 ChEBI	D-fucose	-	builds acid from	from API 50CH acid
68371	12936 ChEBI	D-galactose	+	builds acid from	from API 50CH acid
68371	17634 ChEBI	D-glucose	+	builds acid from	from API 50CH acid
68371	62318 ChEBI	D-lyxose	-	builds acid from	from API 50CH acid
68371	16899 ChEBI	D-mannitol	-	builds acid from	from API 50CH acid
68371	16024 ChEBI	D-mannose	+	builds acid from	from API 50CH acid
68371	16988 ChEBI	D-ribose	+	builds acid from	from API 50CH acid
68371	17924 ChEBI	D-sorbitol	-	builds acid from	from API 50CH acid
68371	16443 ChEBI	D-tagatose	+	builds acid from	from API 50CH acid
68371	65327 ChEBI	D-xylose	+	builds acid from	from API 50CH acid
68371	17113 ChEBI	erythritol	-	builds acid from	from API 50CH acid
68371	4853 ChEBI	esculin	+	builds acid from	from API 50CH acid
68371	16813 ChEBI	galactitol	-	builds acid from	from API 50CH acid
68371	24265 ChEBI	gluconate	-	builds acid from	from API 50CH acid
68371	17754 ChEBI	glycerol	-	builds acid from	from API 50CH acid
68371	28087 ChEBI	glycogen	-	builds acid from	from API 50CH acid
68371	15443 ChEBI	inulin	-	builds acid from	from API 50CH acid
68371	30849 ChEBI	L-arabinose	+	builds acid from	from API 50CH acid
68371	18403 ChEBI	L-arabitol	-	builds acid from	from API 50CH acid
68371	18287 ChEBI	L-fucose	-	builds acid from	from API 50CH acid
68371	17266 ChEBI	L-sorbose	-	builds acid from	from API 50CH acid
68371	65328 ChEBI	L-xylose	-	builds acid from	from API 50CH acid
68371	17716 ChEBI	lactose	-	builds acid from	from API 50CH acid
68371	17306 ChEBI	maltose	-	builds acid from	from API 50CH acid
68371	6731 ChEBI	melezitose	-	builds acid from	from API 50CH acid
68371	28053 ChEBI	melibiose	-	builds acid from	from API 50CH acid
68371	320061 ChEBI	methyl alpha-D-glucopyranoside	-	builds acid from	from API 50CH acid
68371	43943 ChEBI	methyl alpha-D-mannoside	-	builds acid from	from API 50CH acid
68371	74863 ChEBI	methyl beta-D-xylopyranoside	-	builds acid from	from API 50CH acid
68371	17268 ChEBI	myo-inositol	-	builds acid from	from API 50CH acid
68371	59640 ChEBI	N-acetylglucosamine	+	builds acid from	from API 50CH acid
116001	17632 ChEBI	nitrate	-	reduction
116001	16301 ChEBI	nitrite	-	reduction
68371		Potassium 2-ketogluconate	-	builds acid from	from API 50CH acid
68371		Potassium 5-ketogluconate	-	builds acid from	from API 50CH acid
68371	16634 ChEBI	raffinose	-	builds acid from	from API 50CH acid
68371	15963 ChEBI	ribitol	-	builds acid from	from API 50CH acid
68371	28017 ChEBI	starch	-	builds acid from	from API 50CH acid
68371	17992 ChEBI	sucrose	-	builds acid from	from API 50CH acid
68371	27082 ChEBI	trehalose	+	builds acid from	from API 50CH acid
68371	32528 ChEBI	turanose	-	builds acid from	from API 50CH acid
68371	17151 ChEBI	xylitol	-	builds acid from	from API 50CH acid

Metabolite tests

@ref	Chebi-ID	Metabolite	Voges-proskauer-test
116001	15688 ChEBI	acetoin	+

Enzymes

@ref	Value	Activity	Ec
68382	acid phosphatase	+	3.1.3.2	from API zym
116001	alcohol dehydrogenase	+	1.1.1.1
68382	alkaline phosphatase	+	3.1.3.1	from API zym
68382	alpha-chymotrypsin	-	3.4.21.1	from API zym
68382	alpha-fucosidase	-	3.2.1.51	from API zym
68382	alpha-galactosidase	-	3.2.1.22	from API zym
68382	alpha-glucosidase	-	3.2.1.20	from API zym
68382	alpha-mannosidase	-	3.2.1.24	from API zym
116001	amylase	-
68382	beta-galactosidase	+	3.2.1.23	from API zym
68382	beta-glucosidase	+	3.2.1.21	from API zym
68382	beta-glucuronidase	-	3.2.1.31	from API zym
116001	catalase	-	1.11.1.6
68382	cystine arylamidase	-	3.4.11.3	from API zym
68382	esterase (C 4)	-		from API zym
68382	esterase lipase (C 8)	-		from API zym
68382	leucine arylamidase	+	3.4.11.1	from API zym
68382	lipase (C 14)	-		from API zym
116001	lysine decarboxylase	-	4.1.1.18
68382	N-acetyl-beta-glucosaminidase	+	3.2.1.52	from API zym
68382	naphthol-AS-BI-phosphohydrolase	+		from API zym
116001	ornithine decarboxylase	-	4.1.1.17
116001	oxidase	-
68382	trypsin	-	3.4.21.4	from API zym
68382	valine arylamidase	-		from API zym

API zym

@ref	Control	Alkaline phosphatase	Esterase (C 4)	2-naphtyl caprylateEsterase Lipase (C 8)	Lipase (C 14)	L-leucyl-2-naphthylamideLeucine arylamidase	L-valyl-2-naphthylamideValine arylamidase	L-cystyl-2-naphthylamideCystine arylamidase	Trypsin	alpha- Chymotrypsin	Acid phosphatase	Naphthol-AS-BI-phosphateNaphthol-AS-BI-phosphohydrolase	alpha- Galactosidase	beta- Galactosidase	beta- Glucuronidase	alpha- Glucosidase	beta- Glucosidase	N-acetyl-beta- glucosaminidase	alpha- Mannosidase	alpha- Fucosidase
116001	-	+	-	-	-	+	-	-	-	-	+	+	-	+	-	-	+	+	-	-

API 50CHac

@ref	ControlQ	GLY	ERY	DARA	LARA	RIB	DXYL	LXYL	ADO	MDX	GAL	GLU	FRU	MNE	SBE	RHA	DUL	INO	MAN	SOR	MDM	MDG	NAG	AMY	ARB	ESC	SAL	CEL	MAL	LAC	MEL	SAC	TRE	INU	MLZ	RAF	AMD	GLYG	XLT	GEN	TUR	LYX	TAG	DFUC	LFUC	DARL	LARL	GNT	2KG	5KG
8649	-	-	-	-	+	+	+	-	-	-	+	+	+	+	-	-	-	-	-	-	-	-	+	-	+/-	+	+/-	+	-	-	-	-	+	-	-	-	-	-	-	+	-	-	+	-	-	-	-	-	-	-
8649	-	-	-	-	+	+	+	-	-	-	+	+	+	+	-	+/-	-	-	-	-	-	-	+	-	+	+	+	+	-	-	-	-	+	-	-	-	-	-	-	+/-	-	-	+	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Taxonmaps

69479

Global distribution of 16S sequence LC311073 (>99% sequence identity) for Pediococcus acidilactici from Microbeatlas

Aquatic Samples	1242
Soil Samples	1156
Animal Samples	16677
Plant Samples	934
Total Samples	20009

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Biosafety level	Biosafety level comment
8649	yes, in single cases	1	Risk group (German classification) According to TRBA 466
116001		1	Risk group (French classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM435526v1 assembly for Pediococcus acidilactici ATCC 8042	complete	GCA_004355265	1254.155	2847224930	1254	98.2
124043	ASM1612805v1 assembly for Pediococcus acidilactici FDAARGOS_1008	complete	GCA_016128055	1254.395		1254	97.33

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Pediococcus acidilactici partial 16S rRNA gene, strain DSMZ 20238	AJ249539	530	1254
67770	Pediococcus acidilactici gene for 16S ribosomal RNA, partial sequence, strain: JCM 20119	LC311073	1513	1254
124043	Pediococcus acidilactici gene for 16S rRNA, partial sequence, strain: NBRC 3076.	AB680006	1502	1254
124043	Pediococcus acidilactici strain P37 16S ribosomal RNA gene, partial sequence.	MK758075	1193	1254

GC content

@ref	GC-content (mol%)
8649	38.0
67770	38

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Pediococcus acidilactici strain ATCC 8042
PATRIC: 1254.155

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	microaerophile	96.00	no
125439	gram_stain	BacteriaNetⓘ	variable	73.20	no
125439	motility	BacteriaNetⓘ	no	52.70	no
125439	spore_formation	BacteriaNetⓘ	yes	55.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Pediococcus acidilactici ATCC 8042
NCBI: GCA_004355265.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	93.55	no
125438	anaerobic	anaerobicⓘ	no	85.33	yes
125438	aerobic	aerobicⓘ	no	96.77	yes
125438	spore-forming	spore-formingⓘ	no	91.38	no
125438	thermophilic	thermophileⓘ	no	97.50	yes
125438	flagellated	motile2+ⓘ	no	92.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phenotype	The Application of Imaging Flow Cytometry for Characterisation and Quantification of Bacterial Phenotypes.	Power AL, Barber DG, Groenhof SRM, Wagley S, Liu P, Parker DA, Love J.	Front Cell Infect Microbiol	10.3389/fcimb.2021.716592	2021
	Growth Enhancement of Probiotic Pediococcus acidilactici by Extractive Fermentation of Lactic Acid Exploiting Anion-Exchange Resin.	Othman M, Ariff AB, Kapri MR, Rios-Solis L, Halim M.	Front Microbiol	10.3389/fmicb.2018.02554	2018
	Strategies for improving production performance of probiotic Pediococcus acidilactici viable cell by overcoming lactic acid inhibition.	Othman M, Ariff AB, Wasoh H, Kapri MR, Halim M.	AMB Express	10.1186/s13568-017-0519-6	2017
	Evaluating the feasibility of powder milk production by pulse spray drying: An approach on sensory properties, toxicological assessment, and microbial inactivation	Dantas A, Guardia MD, Torrents-Masoliver B, Piella-Rifa M, Bover-Cid S, Felipe X.	Innovative food science & emerging technologies : IFSET : the official scientific journal of the European Federation of Food Science and Technology.		2024
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Metabolism	Selenium-Enriched Microorganisms: Metabolism, Production, and Applications	Luo L, Hou X, Yi D, Deng G, Wang Z, Peng M.	Microorganisms		2025
	Inactivation kinetics of a surrogate yield conservative predictions of foodborne pathogen reductions from low water activity foods of varying size and composition during low-temperature steam processing.	Acuff JC, Waterman K, Wu J, Murphy CM, Gallagher D, Ponder MA.	Heliyon	10.1016/j.heliyon.2023.e17893	2023
	Evaluation of Various Lactic Acid Bacteria and Generic E. coli as Potential Nonpathogenic Surrogates for In-Plant Validation of Biltong Dried Beef Processing.	Karolenko CE, Wilkinson J, Muriana PM.	Microorganisms	10.3390/microorganisms10081648	2022
	Assessment of Pediococcus acidilactici ATCC 8042 as potential Salmonella surrogate for thermal treatments of toasted oats cereal and peanut butter	Deen B, Diez F.	Food Microbiol		2019
	Screening and Characterization of Pediococcus acidilactici LC-9-1 toward Selection as a Potential Probiotic for Poultry with Antibacterial and Antioxidative Properties.	Li C, Wang S, Chen S, Wang X, Deng X, Liu G, Chang W, Beckers Y, Cai H.	Antioxidants (Basel)	10.3390/antiox12020215	2023
	Effect of encapsulant and cryoprotectant on the viability of probiotic Pediococcus acidilactici ATCC 8042 during freeze-drying and exposure to high acidity, bile salts and heat	Halim M, Mohd Mustafa NA, Othman M, Wasoh H, Kapri MR, Ariff AB.	Lebensm Wiss Technol	10.1016/j.lwt.2017.04.009	2017
Genetics	Genomic Insight into Pediococcus acidilactici HN9, a Potential Probiotic Strain Isolated from the Traditional Thai-Style Fermented Beef Nhang.	Surachat K, Kantachote D, Deachamag P, Wonglapsuwan M.	Microorganisms	10.3390/microorganisms9010050	2020
	Wildlife Symbiotic Bacteria Are Indicators of the Health Status of the Host and Its Ecosystem.	Bravo M, Combes T, Martinez FO, Risco D, Goncalves P, Garcia-Jimenez WL, Cerrato R, Fernandez-Llario P, Gutierrez-Merino J.	Appl Environ Microbiol	10.1128/aem.01385-21	2022
	Transcriptional Analysis and Identification of a Peptidoglycan Hydrolase (PGH) and a Ribosomal Protein with Antimicrobial Activity Produced by Lactiplantibacillus paraplantarum.	Hurtado-Rios JJ, Carrasco-Navarro U, Almanza-Perez JC, Rincon-Guevara MA, Ponce-Alquicira E.	Int J Mol Sci	10.3390/ijms252312650	2024
	New Bacterial Surface Display System Development and Application Based on Bacillus subtilis YuaB Biofilm Component as an Anchoring Motif.	Kim D, Kim W, Kim J.	Biotechnol Bioprocess Eng	10.1007/s12257-020-0397-7	2021
	Pediococcus spp.-fermented chicken meat for dogs.	Lee E, Nam KT, Lee KW, Lee SR.	J Anim Sci Technol	10.5187/jast.2020.62.1.84	2020
	Microbial Profiling of Biltong Processing Using Culture-Dependent and Culture-Independent Microbiome Analysis.	Karolenko C, DeSilva U, Muriana PM.	Foods	10.3390/foods12040844	2023
	Screening physicochemical, microbiological and bioactive properties of fruit vinegars produced from various raw materials.	Sengun IY, Kilic G, Ozturk B.	Food Sci Biotechnol	10.1007/s10068-019-00678-6	2020
	Optimization of bacterial cytokine protein production by response surface methodology for environmental bioremediation.	Xie M, Li Y, Xu L, Zhang S, Ye H, Sun F, Mei R, Su X.	RSC Adv	10.1039/d1ra03565g	2021
	Plant-Scale Validation of Physical Heat Treatment of Poultry Litter Composts Using Surrogate and Indicator Microorganisms for Salmonella.	Wang H, Chen Z, Dharmasena M, Greene AK, Gardener BM, Holden B, Jiang X.	Appl Environ Microbiol	10.1128/aem.02234-20	2021
	Impact of protectants on the storage stability of freeze-dried probiotic Lactobacillus plantarum.	Savedboworn W, Teawsomboonkit K, Surichay S, Riansa-Ngawong W, Rittisak S, Charoen R, Phattayakorn K.	Food Sci Biotechnol	10.1007/s10068-018-0523-x	2019
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	Unlocking the power of probiotics, postbiotics: targeting apoptosis for the treatment and prevention of digestive diseases.	Xie Q, Liu J, Yu P, Qiu T, Jiang S, Yu R.	Front Nutr	10.3389/fnut.2025.1570268	2025
Pathogenicity	Microbiota Modulation in Patients with Metabolic Syndrome.	Araujo R, Borges-Canha M, Pimentel-Nunes P.	Nutrients	10.3390/nu14214490	2022
	Low-Molecular-Weight Compounds Produced by the Intestinal Microbiota and Cardiovascular Disease.	Cuervo L, McAlpine PL, Olano C, Fernandez J, Lombo F.	Int J Mol Sci	10.3390/ijms251910397	2024
	Adjacent-possible ecological niche: growth of Lactobacillus species co-cultured with Escherichia coli in a synthetic minimal medium.	Mizuno K, Mizuno M, Yamauchi M, Takemura AJ, Medrano Romero V, Morikawa K.	Sci Rep	10.1038/s41598-017-12894-3	2017
Metabolism	Effect of drug transporter genes on cysteine export and overproduction in Escherichia coli.	Yamada S, Awano N, Inubushi K, Maeda E, Nakamori S, Nishino K, Yamaguchi A, Takagi H.	Appl Environ Microbiol	10.1128/aem.02507-05	2006
Metabolism	Overproduction of L-cysteine and L-cystine by Escherichia coli strains with a genetically altered serine acetyltransferase.	Nakamori S, Kobayashi SI, Kobayashi C, Takagi H.	Appl Environ Microbiol	10.1128/aem.64.5.1607-1611.1998	1998
	Mixed-species biofilm formation by lactic acid bacteria and rice wine yeasts.	Kawarai T, Furukawa S, Ogihara H, Yamasaki M.	Appl Environ Microbiol	10.1128/aem.02891-06	2007
	Assessment of the prebiotic potential of seed coats from green gram (Vigna radiata) and black gram (Vigna mungo).	Swaroopa C, Kashmira L, Vikas G, Rajan W	J Food Sci Technol	10.1007/s13197-021-05043-2	2021
Pathogenicity	Encapsulation of Lactobacillus plantarum ATCC 8014 and Pediococcus acidilactici ATCC 8042 in a freeze-dried alginate-gum arabic system and its in vitro testing under gastrointestinal conditions.	Sandoval-Mosqueda I, Llorente-Bousquets A, Montiel-Sosa JF, Corona L, Guadarrama-Alvarez Z	J Microencapsul	10.1080/02652048.2019.1660729	2019
Stress	Assessment of Pediococcus acidilactici ATCC 8042 as potential Salmonella surrogate for thermal treatments of toasted oats cereal and peanut butter.	Deen B, Diez-Gonzalez F	Food Microbiol	10.1016/j.fm.2019.05.015	2019
Pathogenicity	Inactivation of Salmonella and Surrogate Bacteria on Cashews and Macadamia Nuts Exposed to Commercial Propylene Oxide Processing Conditions.	Saunders T, Wu J, Williams RC, Huang H, Ponder MA	J Food Prot	10.4315/0362-028X.JFP-17-252	2018
Stress	Evaluating Pediococcus acidilactici and Enterococcus faecium NRRL B-2354 as Thermal Surrogate Microorganisms for Salmonella for In-Plant Validation Studies of Low-Moisture Pet Food Products.	Ceylan E, Bautista DA	J Food Prot	10.4315/0362-028X.JFP-14-271	2015
Enzymology	Expression, purification, and characterization of a bifunctional 99-kDa peptidoglycan hydrolase from Pediococcus acidilactici ATCC 8042.	Garcia-Cano I, Campos-Gomez M, Contreras-Cruz M, Serrano-Maldonado CE, Gonzalez-Canto A, Pena-Montes C, Rodriguez-Sanoja R, Sanchez S, Farres A	Appl Microbiol Biotechnol	10.1007/s00253-015-6593-2	2015
Enzymology	Detection, cellular localization and antibacterial activity of two lytic enzymes of Pediococcus acidilactici ATCC 8042.	Garcia-Cano I, Velasco-Perez L, Rodriguez-Sanoja R, Sanchez S, Mendoza-Hernandez G, Llorente-Bousquets A, Farres A	J Appl Microbiol	10.1111/j.1365-2672.2011.05088.x	2011
Metabolism	Novel extracellular proteolytic activity in Pediococcus acidilactici ATCC 8042.	Llorente-Bousquets A, Perez-Munguia S, Farres A	Can J Microbiol	10.1139/w08-055	2008
Phylogeny	pEOC01: a plasmid from Pediococcus acidilactici which encodes an identical streptomycin resistance (aadE) gene to that found in Campylobacter jejuni.	O'Connor EB, O'Sullivan O, Stanton C, Danielsen M, Simpson PJ, Callanan MJ, Ross RP, Hill C	Plasmid	10.1016/j.plasmid.2007.02.002	2007
Phylogeny	Expanded bed adsorption as a unique unit operation for the isolation of bacteriocins from fermentation media.	Callewaert R, De Vuyst L	Bioseparation		1999

References

#8649	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20238
#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 )
#20218	Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 )
#35224	; Curators of the CIP;
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#68371	Automatically annotated from API 50CH acid .
#68382	Automatically annotated from API zym .
#69479	João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta .
#116001	Collection of Institut Pasteur ; Curators of the CIP; CIP 54.167
#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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Pediococcus acidilactici (DSM 20238, ATCC 8042, CCM 2425)

Name and taxonomic classification

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