Lactobacillus amylovorus subsp. amylovorus (DSM 20531, ATCC 33620, NRRL B-4540)

Name: Lactobacillus amylovorus subsp. amylovorus (DSM 20531, ATCC 33620, NRRL B-4540)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 6413

Type strain

Strain Designation B-4540

Culture col. no. DSM 20531 ATCC 33620 NRRL B-4540 CCUG 27201 VTT E-95576 14 more

NCBI tax ID(s) 1604 3378537

Special Collections DSMZ CCUG JCM KCTC CIP

Links

Lactobacillus amylovorus subsp. amylovorus B-4540 is an anaerobe, mesophilic, Gram-positive prokaryote that produces lactate and was isolated from cattle waste-corn fermentation.

lactate production Gram-positive rod-shaped anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 264237

LMG 9496,ATCC 33620,CCUG 27201,DSM 20531,JCM 1126,LMG 17752,NCFB 2657,NRRL B-4540,NBIMCC 3349,CIP 102989,NCDO 2657,CCM 4380,CCRC 11648,NCIMB 13276,CECT 4132,NCAIM B.01458,KCTC 3597,BCRC 11648,CCT 2948,VTT E-95576

@ref 20215

Last LPSN update 2025-12-16 09:48:19

Domain Bacillati

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Lactobacillaceae

Genus Lactobacillus

Species Lactobacillus amylovorus subsp. amylovorus

Full scientific name Lactobacillus amylovorus subsp. amylovorus (Nakamura 1981) Yamane et al. 2024

BacDive ID	Other strains from **Lactobacillus amylovorus subsp. amylovorus** (3)	Type strain
6414	L. amylovorus subsp. amylovorus B-4542, CCUG 27202, DSM 20532, ATCC 33622, ...
6415	L. amylovorus subsp. amylovorus H 27a, DSM 20552, CIP 104566, JCM 2125, KCTC ...
158985	L. amylovorus subsp. amylovorus Bifido-178-WT-3C, DSM 107288

Morphology

Cell morphology

@ref	Gram stain	Cell shape
116364	positive	rod-shaped
125438
125438	positive

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
8898	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
40528	MEDIUM 40- for Lactobacillus and Leuconostoc		Distilled water make up to (1000.000 ml);Man Rogosa Sharp agar (68.000 g)
116364	CIP Medium 40	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
8898	positive	growth	37	mesophilic
40528	positive	growth	37	mesophilic
67770	positive	growth	37	mesophilic
116364	positive	growth	30-45
116364	negative	growth	15

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
8898	anaerobe
8898	microaerophile
48682	anaerobe
48682	microaerophile
116364	facultative anaerobe

Spore formation

@ref	Spore formation	Confidence
125438		90.562

Compound production

8898

CompoundDL lactic acid

Murein

@ref	Murein short key	Type
8898	A11.31	A4alpha L-Lys-D-Asp

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
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	62345 ChEBI	L-rhamnose	-	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	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	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
116364	17632 ChEBI	nitrate	-	reduction
116364	17632 ChEBI	nitrate	+	respiration
116364	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	27082 ChEBI	trehalose	+	builds acid from	from API 50CH acid
68371	17151 ChEBI	xylitol	-	builds acid from	from API 50CH acid

Metabolite production

@ref	Chebi-ID	Metabolite	Production
67770	24996 ChEBI	lactate

Enzymes

@ref	Value	Activity	Ec
68382	acid phosphatase	+	3.1.3.2	from API zym
116364	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
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
116364	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
116364	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
116364	ornithine decarboxylase	-	4.1.1.17
68382	trypsin	-	3.4.21.4	from API zym
68382	valine arylamidase	-		from API zym

Fatty acid profile

Metadata FA analysis

@ref

48682

Fatty acid	Percentage	ECL
C16:0	30.2	16
C18:2 ω6,9c/C18:0 ANTE	22.8	17.724
C18:1 ω9c	20	17.769
C18:0	12.8	18
C14:0	8.2	14
C19:0 CYCLO ω9c	2.9	18.87
C16:1 ω7c	2	15.819
C17:0	0.7	17
Unidentified	0.5	13.242

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
116364	-	+	+	-	-	-	-	+	-	-	+	+	-	-	-	+	+	-	-	-

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
8898	-	-	-	-	-	-	-	-	-	-	+	+	+	+	-	-	-	-	-	-	-	-	+	-	-	+	-	+	+	-	-	-	+	-	-	-	+	+	-	-	-	-	-	-	-	-	-	-	-	-
8898	-	-	-	-	-	-	-	-	-	-	+	+	+	+	-	-	-	-	-	-	-	-	+	-	-	+	-	+	+	-	-	-	+	-	-	-	+	+	-	+	-	-	-	-	-	-	-	-	-	-
8898	-	-	-	-	-	-	-	-	-	-	+	+	+	+	-	-	-	-	-	-	-	-	+	-	+/-	+	+/-	+	+	-	-	+/-	+	-	-	-	+	+	-	+	-	-	-	-	-	-	-	-	-	-
8898	-	-	-	-	-	-	-	-	-	-	+	+	+	+	-	-	-	-	-	-	-	-	+	-	-	+	+	+	+	+	-	+	+	-	-	-	+	+	-	+	-	-	-	-	-	-	-	-	-	-
8898	-	-	-	-	-	-	-	-	-	-	+	+	+	+	-	-	-	-	-	-	-	-	+	-	+	+	+	+	+	-	-	+	+	-	-	-	+	+	-	+	-	-	-	-	-	-	-	-	-	-
8898	-	-	-	-	-	-	-	-	-	-	+	+	+	+	-	-	-	-	-	-	-	-	+	-	+/-	+	+	+	+	-	-	-	+	-	-	-	+	+	-	+	-	-	-	-	-	-	-	-	-	-
116364	not determinedn.d.	-	-	-	-	-	-	-	-	-	+	+	+	+	-	-	-	-	-	-	-	+/-	+	+/-	+/-	+	+/-	+	+	-	-	+/-	+	-	-	-	+	+	-	+	+/-	-	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Waste	#Solid waste
#Host	#Mammals	#Bovinae (Cow, Cattle)

Isolation

@ref	Sample type
8898	cattle waste-corn fermentation
48682	Cattle waste-corn fermentation
67770	Cattle waste-corn fermentation
116364	Environment, Cattle, waste-corn fermentation

Taxonmaps

69479

Global distribution of 16S sequence LC064891 (>99% sequence identity) for Lactobacillus from Microbeatlas

Aquatic Samples	3832
Soil Samples	2681
Animal Samples	57081
Plant Samples	990
Total Samples	64584

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
8898	1	Risk group (German classification) According to TRBA 466
116364	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
66792	ASM270637v1 assembly for Lactobacillus amylovorus DSM 20531	complete	GCA_002706375	1423723.12	2822017380	1423723	92.97
67770	ASM143398v1 assembly for Lactobacillus amylovorus DSM 20531	scaffold	GCA_001433985	1423723.10	2681813110	1423723	48.72

Genome browser: GCA_002706375

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Lactobacillus amylovorus 16S ribosomal RNA gene, partial sequence	AF133264	501	1604
20218	Lactobacillus amylovorus ATCC 33620 16S ribosomal RNA gene, partial sequence	AF429495	504	1604
20218	Lactobacillus amylovorus strain ATCC 33620 16S ribosomal RNA gene, partial sequence; 16S-23S intergenic spacer, complete sequence; and 23S ribosomal RNA gene, partial sequence	AF429582	520	1604
20218	Lactobacillus amylovorus partial 16S rRNA gene, type strain DSM 20531T	FR683089	1516	1604
20218	Lactobacillus amylovorus strain DSM 20531 16S ribosomal RNA gene, partial sequence	AY944408	1504	1604
20218	Lactobacillus amylovorus strain DSM 20531 16S ribosomal RNA gene, partial sequence	EF468092	628	1604
20218	Lactobacillus amylovorus 16S ribosomal RNA	M58805	1512	1604
20218	Lactobacillus amylovorus gene for 16S rRNA, partial sequence, strain: JCM 1126	AB289031	702	1604
20218	Lactobacillus amylovorus 16S ribosomal RNA, partial sequence; 16S/23S intergenic spacer region, complete sequence; and 23S ribosomal RNA partial sequence	AF182732	660	1604
67770	Lactobacillus amylovorus gene for 16S ribosomal RNA, partial sequence, strain: JCM 1126	LC064891	1463	1423723

GC content

@ref	GC-content (mol%)
8898	40.4
67770	37.8
67770	40.4

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Lactobacillus amylovorus DSM 20531
NCBI: GCA_002706375

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	84.10	no
125439	motility	BacteriaNetⓘ	yes	81.20	no
125439	gram_stain	BacteriaNetⓘ	variable	77.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	85.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Lactobacillus amylovorus DSM 20531 DSM 20531
NCBI: GCA_002706375.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	93.44	no
125438	anaerobic	anaerobicⓘ	no	68.21	no
125438	aerobic	aerobicⓘ	no	98.03	no
125438	spore-forming	spore-formingⓘ	no	90.56	no
125438	thermophilic	thermophileⓘ	no	95.50	yes
125438	flagellated	motile2+ⓘ	no	92.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Transcriptome	Transcriptome and microbiota analysis reveal differences in the cecum of weaning pigs in response to different dietary crude protein levels.	Yu YH, Chen SB, Wang HT, Lin CS, Dybus A, Hukowska-Szematowicz B, Li YH.	Anim Biosci	10.5713/ab.25.0135	2025
Pathogenicity	Dietary Glycerol Monolaurate Effect on Growth Performance, Intestinal Barrier Function, and Gut Microbiota in Weaned Piglets Challenged by Lipopolysaccharide.	Wang H, Ma R, Qi R, Liu Z, Li Y, Wu X, Zhao C, Ma Q, Zhan K.	Animals (Basel)	10.3390/ani15223263	2025
	Draft genome of Lactobacillus amylovorus KSAU with probiotic potential isolated from the gastrointestinal tract of industrial pigs.	Lysenko YA, Milovanov AV, Kopyltsov SV, Gahurova D, Elisiutikova AV.	Microbiol Resour Announc	10.1128/mra.00577-24	2025
	Probiotic bacteria of wild boar origin intended for piglets - An in vitro study.	Kostovova I, Kavanova K, Moravkova M, Gebauer J, Leva L, Vicenova M, Babak V, Faldyna M, Crhanova M.	Vet Med (Praha)	10.17221/35/2024-vetmed	2024
	In vitro characterization of lactic acid bacteria and bifidobacteria from wild and domestic pigs: probiotic potential for post-weaning piglets.	Kavanova K, Kostovova I, Moravkova M, Kubasova T, Crhanova M.	BMC Microbiol	10.1186/s12866-024-03711-9	2025
Phenotype	Long-read, multi-amplicon sequencing to explore genetic diversity associated with starch degrading phenotypes in amylolytic Lactobacillaceae.	Olivier SA, Bull MK, Bowman JP, Ross T, Chapman B.	Front Microbiol	10.3389/fmicb.2025.1548052	2025
	Whole-Genome Sequencing of Pig Gut Lactobacillus amylovorus CICC 6090.	Yin Y, Li Z, Chen H.	Microbiol Resour Announc	10.1128/mra.01197-22	2023
	Susceptibility of Lactobacillaceae Strains to Aminoglycoside Antibiotics in the Light of EFSA Guidelines.	Dec M, Herman-Ostrzyzek K, Zomer A, Urban-Chmiel R.	Life (Basel)	10.3390/life15050732	2025
	Lactobacillus strains from sows improve swine appetite by reducing the pro-inflammatory cytokine concentrations	Li S, Zheng J, Zhao Y, He J, Liu H, Zhong W, Huang Y, Li Z, Yang M, Zhao X, Feng B, Che L, Fang Z, Li J, Xu S, Lin Y, Jiang X, Hua L, Zhuo Y, Wu D.	Anim Nutr		2025
	Antibiotic Susceptibility, Resistance Gene Determinants and Corresponding Genomic Regions in Lactobacillus amylovorus Isolates Derived from Wild Boars and Domestic Pigs.	Moravkova M, Kostovova I, Kavanova K, Pechar R, Stanek S, Brychta A, Zeman M, Kubasova T.	Microorganisms	10.3390/microorganisms11010103	2022
	Molecular Identification and Selection of Probiotic Strains Able to Reduce the Serum TMAO Level in Mice Challenged with Choline.	Ramireddy L, Tsen HY, Chiang YC, Hung CY, Wu SR, Young SL, Lin JS, Huang CH, Chiu SH, Chen CC, Chen CC.	Foods	10.3390/foods10122931	2021
	Specificity of the AMP-6000 Method for Enumerating Clostridium Endospores in Milk.	Burtscher J, Rudavsky T, Zitz U, Domig KJ.	Foods	10.3390/foods13081192	2024
	Amplicon Sequencing of the slpH Locus Permits Culture-Independent Strain Typing of Lactobacillus helveticus in Dairy Products.	Moser A, Wuthrich D, Bruggmann R, Eugster-Meier E, Meile L, Irmler S.	Front Microbiol	10.3389/fmicb.2017.01380	2017
Metabolism	Hydrolytic fate of deoxynivalenol-3-glucoside during digestion.	Berthiller F, Krska R, Domig KJ, Kneifel W, Juge N, Schuhmacher R, Adam G.	Toxicol Lett	10.1016/j.toxlet.2011.08.006	2011
Metabolism	Intestinal integrity and Akkermansia muciniphila, a mucin-degrading member of the intestinal microbiota present in infants, adults, and the elderly.	Collado MC, Derrien M, Isolauri E, de Vos WM, Salminen S.	Appl Environ Microbiol	10.1128/aem.01477-07	2007
Metabolism	Characterization and identification of Pediococcus species isolated from forage crops and their application for silage preparation.	Cai Y, Kumai S, Ogawa M, Benno Y, Nakase T.	Appl Environ Microbiol	10.1128/aem.65.7.2901-2906.1999	1999
	Identification of food and nutrient components as predictors of Lactobacillus colonization.	Thompson SC, Ford AL, Moothedan EJ, Stafford LS, Garrett TJ, Dahl WJ, Conesa A, Gonzalez CF, Lorca GL.	Front Nutr	10.3389/fnut.2023.1118679	2023
	Introducing a bioelectrochemical method for highly selective enumeration of magnetotactic bacteria.	Memarpoor-Yazdi M, Haghighatian S, Doroodmand MM, Derakhshandeh A, Moezzi MS.	Sci Rep	10.1038/s41598-020-65499-8	2020
Phylogeny	Detection and identification of Lactobacillus species in crops of broilers of different ages by using PCR-denaturing gradient gel electrophoresis and amplified ribosomal DNA restriction analysis.	Guan LL, Hagen KE, Tannock GW, Korver DR, Fasenko GM, Allison GE.	Appl Environ Microbiol	10.1128/aem.69.11.6750-6757.2003	2003
	Sustainable Food Systems: The Case of Functional Compounds towards the Development of Clean Label Food Products.	Alexandri M, Kachrimanidou V, Papapostolou H, Papadaki A, Kopsahelis N.	Foods	10.3390/foods11182796	2022
	Extensive profiling of a complex microbial community by high-throughput sequencing.	Hill JE, Seipp RP, Betts M, Hawkins L, Van Kessel AG, Crosby WL, Hemmingsen SM.	Appl Environ Microbiol	10.1128/aem.68.6.3055-3066.2002	2002
	Recent Developments in Fermented Cereals on Nutritional Constituents and Potential Health Benefits.	Zhang J, Liu M, Zhao Y, Zhu Y, Bai J, Fan S, Zhu L, Song C, Xiao X.	Foods	10.3390/foods11152243	2022
	Efficient Secretion and Recombinant Production of a Lactobacillal alpha-amylase in Lactiplantibacillus plantarum WCFS1: Analysis and Comparison of the Secretion Using Different Signal Peptides.	Tran AM, Unban K, Kanpiengjai A, Khanongnuch C, Mathiesen G, Haltrich D, Nguyen TH.	Front Microbiol	10.3389/fmicb.2021.689413	2021
Enzymology	Alpha-amylase starch binding domains: cooperative effects of binding to starch granules of multiple tandemly arranged domains.	Guillen D, Santiago M, Linares L, Perez R, Morlon J, Ruiz B, Sanchez S, Rodriguez-Sanoja R.	Appl Environ Microbiol	10.1128/aem.02628-06	2007
Metabolism	Novel Feruloyl Esterase from Lactobacillus fermentum NRRL B-1932 and Analysis of the Recombinant Enzyme Produced in Escherichia coli.	Liu S, Bischoff KM, Anderson AM, Rich JO.	Appl Environ Microbiol	10.1128/aem.01029-16	2016
Metabolism	Starch-binding domain affects catalysis in two Lactobacillus alpha-amylases.	Rodriguez-Sanoja R, Ruiz B, Guyot JP, Sanchez S.	Appl Environ Microbiol	10.1128/aem.71.1.297-302.2005	2005
	Adhesion of Lactobacillus amylovorus to Insoluble and Derivatized Cornstarch Granules.	Imam SH, Harry-O'kuru RE.	Appl Environ Microbiol	10.1128/aem.57.4.1128-1133.1991	1991
	High-throughput metabolic fingerprinting of legume silage fermentations via Fourier transform infrared spectroscopy and chemometrics.	Johnson HE, Broadhurst D, Kell DB, Theodorou MK, Merry RJ, Griffith GW.	Appl Environ Microbiol	10.1128/aem.70.3.1583-1592.2004	2004
Metabolism	Development of a high-copy plasmid for enhanced production of recombinant proteins in Leuconostoc citreum.	Son YJ, Ryu AJ, Li L, Han NS, Jeong KJ.	Microb Cell Fact	10.1186/s12934-015-0400-8	2016
	Fermented Cereal-based Products: Nutritional Aspects, Possible Impact on Gut Microbiota and Health Implications.	Tsafrakidou P, Michaelidou AM, G Biliaderis C.	Foods	10.3390/foods9060734	2020
	Poly-beta-hydroxybutyrate Production from Bread Waste via Sequential Dark Fermentation and Photofermentation.	Bernabo L, Daly G, Mugnai G, Galli V, Corneli E, Granchi L, Adessi A.	Foods	10.3390/foods14101659	2025
	The Effects of High-Dose Probiotic Supplementation on Immune Activation and Neurocognitive Disorders in People Living with HIV Undergoing Successful Antiretroviral Treatment: The Procog Study.	Vassallo M, Zerlini M, Fabre R, Joly H, Durant J, Makinson A, Mauries A, Capeau J, Fellahi S, Bastard JP, Pradier C, Lebrun-Frenay C.	Pathogens	10.3390/pathogens14060568	2025
	Identification and Characterization of Antiyeast Organic Acids Produced by Lactiplantibacillus plantarum 3121M0s Derived from Mongolian Traditional Fermented Milk, Airag.	Lijon MB, Matsu-Ura Y, Ukita T, Arakawa K, Miyamoto T.	Microorganisms	10.3390/microorganisms13092017	2025
	Application of Theiler's murine encephalomyelitis virus in treatment of multiple sclerosis.	Li L, Zhou R, Sun L.	Front Microbiol	10.3389/fmicb.2024.1415365	2024
	Uptake of Levilactobacillus brevis JCM 1059 by THP-1 Cells via Interaction between SlpB and CAP-1 Promotes Cytokine Production.	Yin T, Zhang X, Iwatani S, Miyanaga K, Yamamoto N.	Microorganisms	10.3390/microorganisms11020247	2023
	Impact of container type on the microbiome of airag, a Mongolian fermented mare's milk.	Shinoda A, Koga Y, Tsuchiya R, Tserenpurev BO, Battsetseg B, Morinaga Y, Nakayama J.	Biosci Microbiota Food Health	10.12938/bmfh.2024-023	2025
Metabolism	Probiotics as Potential Tool to Mitigate Nucleotide Metabolism Alterations Induced by DiNP Dietary Exposure in Danio rerio.	Giommi C, Maradonna F, Ladisa C, Habibi HR, Carnevali O.	Int J Mol Sci	10.3390/ijms252011151	2024
	Probiotic Bactolac alleviates depression-like behaviors by modulating BDNF, NLRP3 and MC4R levels, reducing neuroinflammation and promoting neural repair in rat model.	Isik M, Kose F, Budak O, Ozbayer C, Kaya RK, Aydin S, Kucuk AC, Demirci MA, Doganay S, Bagci C.	Pflugers Arch	10.1007/s00424-025-03084-6	2025
Metabolism	In vitro fermentation of prebiotic carbohydrates by intestinal microbiota in the presence of Lactobacillus amylovorus DSM 16998.	Cardarelli HR, Martinez RC, Albrecht S, Schols H, Franco BD, Saad SM, Smidt H.	Benef Microbes	10.3920/bm2014.0151	2016
	In Vitro Co-culture of Bacterial and Mammalian Cells to Investigate Effects of Potential Probiotics on Intestinal Barrier Function.	Purba A, Anderson RC, Ulluwishewa D.	Bio Protoc	10.21769/bioprotoc.5361	2025
	Lactiplantibacillus (Lactobacillus) plantarum as a Complementary Treatment to Improve Symptomatology in Neurodegenerative Disease: A Systematic Review of Open Access Literature.	Beltran-Velasco AI, Reiriz M, Uceda S, Echeverry-Alzate V.	Int J Mol Sci	10.3390/ijms25053010	2024
Metabolism	Mapping knowledge landscapes and research frontiers of gastrointestinal microbiota and bone metabolism: a text-mining study.	Wu H, Sun Z, Guo Q, Li C.	Front Cell Infect Microbiol	10.3389/fcimb.2024.1407180	2024
	Bifidobacterium infantis and Bifidobacterium breve Improve Symptomatology and Neuronal Damage in Neurodegenerative Disease: A Systematic Review.	Reiriz M, Beltran-Velasco AI, Echeverry-Alzate V, Martinez-Miguel E, Gomez-Senent S, Uceda S, Clemente-Suarez VJ.	Nutrients	10.3390/nu17030391	2025
	Postoperative Ileus after Stimulation with Probiotics before Ileostomy Closure.	Rodriguez-Padilla A, Morales-Martin G, Perez-Quintero R, Gomez-Salgado J, Balongo-Garcia R, Ruiz-Frutos C.	Nutrients	10.3390/nu13020626	2021
	Lactobacillus plantarum DSM 2648 is a potential probiotic that enhances intestinal barrier function.	Anderson RC, Cookson AL, McNabb WC, Kelly WJ, Roy NC.	FEMS Microbiol Lett	10.1111/j.1574-6968.2010.02038.x	2010
	Factors Associated With Short-Term Eradication of Rectal Colonization by KPC-2 Producing Klebsiella pneumoniae in an Outbreak Setting.	Pellice M, Rodriguez-Nunez O, Rico V, Aguero D, Morata L, Cardozo C, Puerta-Alcalde P, Garcia-Vidal C, Rubio E, Fernandez-Pittol MJ, Vergara A, Pitart C, Marco F, Santana G, Rodriguez-Serna L, Vilella A, Lopez E, Soriano A, Martinez JA, Del Rio A.	Front Microbiol	10.3389/fmicb.2021.630826	2021
	The Role of Nutraceuticals and Probiotics in Addition to Lifestyle Intervention in the Management of Childhood Obesity-Part 1: Metabolic Changes.	Street ME, Casadei F, Di Bari ER, Ferraboschi F, Montani AG, Shulhai AM, Esposito S.	Nutrients	10.3390/nu17101630	2025
	Diversion Colitis and Probiotic Stimulation: Effects of Bowel Stimulation Prior to Ileostomy Closure.	Rodriguez-Padilla A, Morales-Martin G, Perez-Quintero R, Rada-Morgades R, Gomez-Salgado J, Ruiz-Frutos C.	Front Med (Lausanne)	10.3389/fmed.2021.654573	2021
	Serological Biomarkers and Diversion Colitis: Changes after Stimulation with Probiotics.	Rodriguez-Padilla A, Morales-Martin G, Perez-Quintero R, Gomez-Salgado J, Ruiz-Frutos C.	Biomolecules	10.3390/biom11050684	2021
	Soluble Fraction from Lysate of a High Concentration Multi-Strain Probiotic Formulation Inhibits TGF-beta1-Induced Intestinal Fibrosis on CCD-18Co Cells.	Lombardi F, Augello FR, Palumbo P, Mollsi E, Giuliani M, Cimini AM, Cifone MG, Cinque B.	Nutrients	10.3390/nu13030882	2021
Metabolism	Type I/II Interferon in HIV-1-Infected Patients: Expression in Gut Mucosa and in Peripheral Blood Mononuclear Cells and Its Modification upon Probiotic Supplementation.	Pinacchio C, Scheri GC, Statzu M, Santinelli L, Ceccarelli G, Innocenti GP, Vullo V, Antonelli G, Brenchley JM, d'Ettorre G, Scagnolari C.	J Immunol Res	10.1155/2018/1738676	2018
	Antibacterial Effectiveness of Fecal Water and in Vitro Activity of a Multi-Strain Probiotic Formulation against Multi-Drug Resistant Microorganisms.	Oliva A, Miele MC, De Angelis M, Costantini S, Mascellino MT, Mastroianni CM, Vullo V, d'Ettorre G.	Microorganisms	10.3390/microorganisms8030332	2020
	A randomized double-blind placebo controlled pilot study of probiotics in adolescents with severe obesity.	Verma A, Nelson MT, DePaolo WR, Hampe C, Roth CL.	J Diabetes Metab Disord	10.1007/s40200-021-00855-7	2021
	Diversion Colitis: Macro and Microscopic Findings after Probiotics Stimulation.	Rodriguez-Padilla A, Morales-Martin G, Perez-Quintero R, Gomez-Salgado J, Rada-Morgades R, Ruiz-Frutos C.	Biology (Basel)	10.3390/biology10040303	2021
	Multiplexed Quantitative Assessment of the Fate of Taurine and Sulfoquinovose in the Intestinal Microbiome.	Haange SB, Groeger N, Froment J, Rausch T, Burkhardt W, Gonnermann S, Braune A, Blaut M, von Bergen M, Rolle-Kampczyk U.	Metabolites	10.3390/metabo10110430	2020
	A review of potential microbiome-gut-brain axis mediated neurocognitive conditions in persons living with HIV.	Rich S, Klann E, Bryant V, Richards V, Wijayabahu A, Bryant K, Mai V, Cook R.	Brain Behav Immun Health	10.1016/j.bbih.2020.100168	2020
	Gut Microbiome as Potential Therapeutics in Multiple Sclerosis.	Zhu W, Dykstra K, Zhang L, Xia Z.	Curr Treat Options Neurol	10.1007/s11940-021-00693-1	2021
Pathogenicity	How oral probiotics affect the severity of an experimental model of progressive multiple sclerosis? Bringing commensal bacteria into the neurodegenerative process.	Mestre L, Carrillo-Salinas FJ, Feliu A, Mecha M, Alonso G, Espejo C, Calvo-Barreiro L, Luque-Garcia JL, Estevez H, Villar LM, Guaza C.	Gut Microbes	10.1080/19490976.2020.1813532	2020
	Rapid Calorimetric Detection of Bacterial Contamination: Influence of the Cultivation Technique.	Fricke C, Harms H, Maskow T.	Front Microbiol	10.3389/fmicb.2019.02530	2019
	Probiotics Differently Affect Gut-Associated Lymphoid Tissue Indolamine-2,3-Dioxygenase mRNA and Cerebrospinal Fluid Neopterin Levels in Antiretroviral-Treated HIV-1 Infected Patients: A Pilot Study.	Scagnolari C, Corano Scheri G, Selvaggi C, Schietroma I, Najafi Fard S, Mastrangelo A, Giustini N, Serafino S, Pinacchio C, Pavone P, Fanello G, Ceccarelli G, Vullo V, d'Ettorre G.	Int J Mol Sci	10.3390/ijms17101639	2016
	High potency multistrain probiotic improves liver histology in non-alcoholic fatty liver disease (NAFLD): a randomised, double-blind, proof of concept study.	Duseja A, Acharya SK, Mehta M, Chhabra S, Shalimar, Rana S, Das A, Dattagupta S, Dhiman RK, Chawla YK.	BMJ Open Gastroenterol	10.1136/bmjgast-2019-000315	2019
	A Combined Proteomics, Metabolomics and In Vivo Analysis Approach for the Characterization of Probiotics in Large-Scale Production.	Bianchi L, Laghi L, Correani V, Schifano E, Landi C, Uccelletti D, Mattei B.	Biomolecules	10.3390/biom10010157	2020
Pathogenicity	A pilot study on the effects of probiotic supplementation on neuropsychological performance and microRNA-29a-c levels in antiretroviral-treated HIV-1-infected patients.	Ceccarelli G, Fratino M, Selvaggi C, Giustini N, Serafino S, Schietroma I, Corano Scheri G, Pavone P, Passavanti G, Alunni Fegatelli D, Mezzaroma I, Antonelli G, Vullo V, Scagnolari C, d'Ettorre G.	Brain Behav	10.1002/brb3.756	2017
	Clinical effectiveness of adding probiotics to a low FODMAP diet: Randomized double-blind placebo-controlled study.	Turan B, Bengi G, Cehreli R, Akpinar H, Soyturk M.	World J Clin Cases	10.12998/wjcc.v9.i25.7417	2021
	Impact of High-Dose Multi-Strain Probiotic Supplementation on Neurocognitive Performance and Central Nervous System Immune Activation of HIV-1 Infected Individuals.	Ceccarelli G, Brenchley JM, Cavallari EN, Scheri GC, Fratino M, Pinacchio C, Schietroma I, Fard SN, Scagnolari C, Mezzaroma I, Vullo V, d'Ettorre G.	Nutrients	10.3390/nu9111269	2017
	Evaluating the efficacy of a multistrain probiotic supplementation for prevention of neonatal sepsis in 0-2-month-old low birth weight infants in India-the "ProSPoNS" Study protocol for a phase III, multicentric, randomized, double-blind, placebo-controlled trial.	Sinha AP, Gupta SS, Poluru R, Raut AV, Arora NK, Pandey RM, Sahu AR, Bethou A, Sazawal S, Parida S, Bavdekar A, Saili A, Gaind R, Kapil A, Garg BS, Maliye C, Jain M, Mahajan KS, Dhingra P, Pradhan KC, Kawade AS, Nangia S, Mukherjee A, Rasaily R, Sharma RS, ProSPoNS study Group.	Trials	10.1186/s13063-021-05193-w	2021
Pathogenicity	A More Robust Gut Microbiota in Calorie-Restricted Mice Is Associated with Attenuated Intestinal Injury Caused by the Chemotherapy Drug Cyclophosphamide.	Liu T, Wu Y, Wang L, Pang X, Zhao L, Yuan H, Zhang C.	mBio	10.1128/mbio.02903-18	2019
	Effect of probiotic treatment on the clinical course, intestinal microbiome, and toxigenic Clostridium perfringens in dogs with acute hemorrhagic diarrhea.	Ziese AL, Suchodolski JS, Hartmann K, Busch K, Anderson A, Sarwar F, Sindern N, Unterer S.	PLoS One	10.1371/journal.pone.0204691	2018
	Association of germ-free mice with a simplified human intestinal microbiota results in a shortened intestine.	Slezak K, Krupova Z, Rabot S, Loh G, Levenez F, Descamps A, Lepage P, Dore J, Bellier S, Blaut M.	Gut Microbes	10.4161/gmic.28203	2014
	EPSP of L. casei BL23 Protected against the Infection Caused by Aeromonas veronii via Enhancement of Immune Response in Zebrafish.	Qin C, Zhang Z, Wang Y, Li S, Ran C, Hu J, Xie Y, Li W, Zhou Z.	Front Microbiol	10.3389/fmicb.2017.02406	2017
	Effects of probiotics (Vivomixx®) in obese pregnant women and their newborn: study protocol for a randomized controlled trial.	Halkjaer SI, Nilas L, Carlsen EM, Cortes D, Halldorsson TI, Olsen SF, Pedersen AE, Krogfelt KA, Petersen AM.	Trials	10.1186/s13063-016-1617-5	2016
Metabolism	Host-probiotic interaction: new insight into the role of the endocannabinoid system by in vivo and ex vivo approaches.	Gioacchini G, Rossi G, Carnevali O.	Sci Rep	10.1038/s41598-017-01322-1	2017
Metabolism	Identification of and hydrogen peroxide production by fecal and vaginal lactobacilli isolated from Japanese women and newborn infants.	Song YL, Kato N, Matsumiya Y, Liu CX, Kato H, Watanabe K.	J Clin Microbiol	10.1128/jcm.37.9.3062-3064.1999	1999
Pathogenicity	Manipulation of Gut Microbiota Influences Immune Responses, Axon Preservation, and Motor Disability in a Model of Progressive Multiple Sclerosis.	Mestre L, Carrillo-Salinas FJ, Mecha M, Feliu A, Espejo C, Alvarez-Cermeno JC, Villar LM, Guaza C.	Front Immunol	10.3389/fimmu.2019.01374	2019
	The Effectiveness of Probiotics in the Treatment of Inflammatory Bowel Disease (IBD)-A Critical Review.	Jakubczyk D, Leszczynska K, Gorska S.	Nutrients	10.3390/nu12071973	2020
	The Evaluation of the Effects of Two Probiotic Strains on the Oral Ecosystem: A Randomized Clinical Trial.	Volgenant CMC, van der Waal SV, Brandt BW, Buijs MJ, van der Veen MH, Rosema NAM, Fiebich BL, Rose T, Schmitter T, Gajfulin M, Crielaard W, Zaura E.	Front Oral Health	10.3389/froh.2022.825017	2022
	Randomized, controlled trial evaluating the effect of multi-strain probiotic on the mucosal microbiota in canine idiopathic inflammatory bowel disease.	White R, Atherly T, Guard B, Rossi G, Wang C, Mosher C, Webb C, Hill S, Ackermann M, Sciabarra P, Allenspach K, Suchodolski J, Jergens AE.	Gut Microbes	10.1080/19490976.2017.1334754	2017
Phylogeny	Bifidobacterium lactis DSM 10140: identification of the atp (atpBEFHAGDC) operon and analysis of its genetic structure, characteristics, and phylogeny.	Ventura M, Canchaya C, van Sinderen D, Fitzgerald GF, Zink R.	Appl Environ Microbiol	10.1128/aem.70.5.3110-3121.2004	2004
Phylogeny	Rapid differentiation and in situ detection of 16 sourdough lactobacillus species by multiplex PCR.	Settanni L, van Sinderen D, Rossi J, Corsetti A.	Appl Environ Microbiol	10.1128/aem.71.6.3049-3059.2005	2005
Metabolism	Structural and functional differences in two cyclic bacteriocins with the same sequences produced by lactobacilli.	Kawai Y, Ishii Y, Arakawa K, Uemura K, Saitoh B, Nishimura J, Kitazawa H, Yamazaki Y, Tateno Y, Itoh T, Saito T.	Appl Environ Microbiol	10.1128/aem.70.5.2906-2911.2004	2004
	Probiotics for the prevention of pediatric antibiotic-associated diarrhea.	Guo Q, Goldenberg JZ, Humphrey C, El Dib R, Johnston BC.	Cochrane Database Syst Rev	10.1002/14651858.cd004827.pub5	2019
Metabolism	Production of lactate and acetate by Lactobacillus coryniformis subsp. torquens DSM 20004(T) in comparison with Lactobacillus amylovorus DSM 20531(T).	Slavica A, Trontel A, Jelovac N, Kosovec Z, Santek B, Novak S	J Biotechnol	10.1016/j.jbiotec.2015.01.014	2015
Biotechnology	Application of Lactobacillus amylovorus DSM19280 in gluten-free sourdough bread to improve the microbial shelf life.	Axel C, Rocker B, Brosnan B, Zannini E, Furey A, Coffey A, Arendt EK	Food Microbiol	10.1016/j.fm.2014.10.005	2014
Enzymology	Lactobacillus amylovorus DSM 19280 as a novel food-grade antifungal agent for bakery products.	Ryan LA, Zannini E, Dal Bello F, Pawlowska A, Koehler P, Arendt EK	Int J Food Microbiol	10.1016/j.ijfoodmicro.2011.02.036	2011
Metabolism	Characterization of a mutant from Lactobacillus amylovorus JCM 1126(T) with improved utilization of sucrose.	Oda Y, Ito M	Curr Microbiol	10.1007/s002840010156	2000
Enzymology	Functional characterization of probiotic surface layer protein-carrying Lactobacillus amylovorus strains.	Hynonen U, Kant R, Lahteinen T, Pietila TE, Beganovic J, Smidt H, Uroic K, Avall-Jaaskelainen S, Palva A	BMC Microbiol	10.1186/1471-2180-14-199	2014
Metabolism	The novel porcine Lactobacillus sobrius strain protects intestinal cells from enterotoxigenic Escherichia coli K88 infection and prevents membrane barrier damage.	Roselli M, Finamore A, Britti MS, Konstantinov SR, Smidt H, de Vos WM, Mengheri E	J Nutr	10.1093/jn/137.12.2709	2007
Phylogeny	Proposal of Lactobacillus amylovorus subsp. animalis subsp. nov. and an emended description of Lactobacillus amylovorus.	Yamane K, Tanizawa Y, Kobayashi H, Kamizono T, Kojima Y, Takagi H, Tohno M.	Int J Syst Evol Microbiol	10.1099/ijsem.0.006517	2024

References

#8898	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20531
#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 )
#40528	; Curators of the CIP;
#48682	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 27201
#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;
#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 .
#116364	Collection of Institut Pasteur ; Curators of the CIP; CIP 102989
#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

Lactobacillus amylovorus subsp. amylovorus (DSM 20531, ATCC 33620, NRRL B-4540)

Name and taxonomic classification