Limosilactobacillus reuteri (DSM 108836, WCA-386-APC-4I)

Name: Limosilactobacillus reuteri (DSM 108836, WCA-386-APC-4I)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 158987

Type strain

Strain Designation WCA-386-APC-4I

Culture col. no. DSM 108836 WCA-386-APC-4I

NCBI tax ID(s) 1598

Special Collections DSMZ Pig DZIF

History <- T. Clavel; TU Munich, Freising-Weihenstephan, Germany;

Links

Limosilactobacillus reuteri WCA-386-APC-4I is a bacterium that was isolated from feces; pig ,4 month old, genotype: APC1311/+ referring to the adenomatous-polyposis-coli protein.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 408147

DSM 108836

@ref 20215

Last LPSN update 2026-02-09 11:38:29

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Lactobacillaceae

Genus Limosilactobacillus

Species Limosilactobacillus reuteri

Full scientific name Limosilactobacillus reuteri (Kandler et al. 1982) Zheng et al. 2020

Synonyms (1)

Lactobacillus reuteri

BacDive ID	Other strains from **Limosilactobacillus reuteri** (17)	Type strain
6507	L. reuteri F 275, DSM 20016, ATCC 23272, CIP 109823, ... (type strain)
6506	L. reuteri 15/7, DSM 20015, CIP 109822
6508	L. reuteri F70, F 70, DSM 20053, CIP 109824
6509	L. reuteri 65 A, DSM 20056, CIP 109825
130965	L. reuteri M6220-5A, DSM 28673
130966	L. reuteri MI-2, DSM 100191
130967	L. reuteri JJM0207-8, DSM 100192
130968	L. reuteri I49, DSM 32035
160828	L. reuteri Cla-CZ-17, DSM 108983
161074	L. reuteri JCM 1081
161078	L. reuteri JCM 1084
173530	L. reuteri A23272, CRBIP24.1
173531	L. reuteri CRBIP24.2
173532	L. reuteri FF65, CRBIP24.3
173533	L. reuteri CRBIP24.42
173534	L. reuteri CRBIP24.49
177005	L. reuteri LAD4, DSM 116333

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	positive	92.566

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
65810	FASTIDIOUS ANAEROBE BROTH (DSMZ Medium 1203a)		Medium recipe at MediaDive	Name: FASTIDIOUS ANAEROBE BROTH (DSMZ Medium 1203a) Composition: Fastidious Anaerobe Basal Broth 35.4 g/l Distilled water
65810	COLUMBIA BLOOD MEDIUM (DSMZ Medium 693)		Medium recipe at MediaDive	Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base

Culture temp

@ref	Growth	Type	Temperature (°C)
65810	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	97.4

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68380	29016 ChEBI	arginine	+	hydrolysis	from API rID32A
68380	16024 ChEBI	D-mannose	-	fermentation	from API rID32A
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
68380	17632 ChEBI	nitrate	+	reduction	from API rID32A
68380	27897 ChEBI	tryptophan	-	energy source	from API rID32A
68380	16199 ChEBI	urea	-	hydrolysis	from API rID32A

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68380	35581 ChEBI	indole		from API rID32A

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test
68380	35581 ChEBI	indole	-	from API rID32A

Enzymes

@ref	Value	Activity	Ec
68380	alanine arylamidase	+	3.4.11.2	from API rID32A
68380	alkaline phosphatase	-	3.1.3.1	from API rID32A
68380	alpha-arabinosidase	-	3.2.1.55	from API rID32A
68380	alpha-fucosidase	-	3.2.1.51	from API rID32A
68380	alpha-galactosidase	+	3.2.1.22	from API rID32A
68380	arginine dihydrolase	+	3.5.3.6	from API rID32A
68380	beta-galactosidase	+	3.2.1.23	from API rID32A
68380	beta-Galactosidase 6-phosphate	-		from API rID32A
68380	beta-glucosidase	-	3.2.1.21	from API rID32A
68380	beta-glucuronidase	-	3.2.1.31	from API rID32A
68380	glutamate decarboxylase	-	4.1.1.15	from API rID32A
68380	glutamyl-glutamate arylamidase	-		from API rID32A
68380	histidine arylamidase	+		from API rID32A
68380	L-arginine arylamidase	+		from API rID32A
68380	leucine arylamidase	+	3.4.11.1	from API rID32A
68380	leucyl glycin arylamidase	+	3.4.11.1	from API rID32A
68380	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API rID32A
68380	phenylalanine arylamidase	+		from API rID32A
68380	proline-arylamidase	-	3.4.11.5	from API rID32A
68380	pyrrolidonyl arylamidase	-	3.4.19.3	from API rID32A
68380	tryptophan deaminase	-	4.1.99.1	from API rID32A
68380	tyrosine arylamidase	+		from API rID32A
68380	urease	-	3.5.1.5	from API rID32A

API rID32A

@ref	URE	ADH (Arg)	alpha GAL	beta GAL	beta-Galactosidase 6-phosphatebeta GP	alpha GLU	beta GLU	alpha ARA	beta GUR	beta-N-Acetyl-beta-glucosaminidasebeta NAG	MNE	RAF	GDC	alpha FUC	Reduction of nitrateNIT	IND	PAL	L-arginine arylamidaseArgA	ProA	LGA	Phenylalanine arylamidasePheA	Leucine arylamidaseLeuA	PyrA	Tyrosine arylamidaseTyrA	Alanine arylamidaseAlaA	Glycin arylamidaseGlyA	Histidine arylamidaseHisA	Glutamyl-glutamate arylamidaseGGA	Serine arylamidaseSerA
65810	-	+	+	+	-	+/-	-	-	-	-	-	+/-	-	-	+	-	-	+	-	+	+	+	-	+	+	+/-	+	-	+/-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)
#Host	#Mammals	#Suidae (Pig,Swine)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
65810	feces; pig ,4 month old, genotype: APC1311/+ referring to the adenomatous-polyposis-coli (APC) protein	Kranzberg (Bavaria)	Germany	DEU	Europe

Taxonmaps

69479

Global distribution of 16S sequence MN537548 (>99% sequence identity) for Limosilactobacillus reuteri from Microbeatlas

Aquatic Samples	7596
Soil Samples	4867
Animal Samples	154945
Plant Samples	1926
Total Samples	169334

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
65810	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM1284363v1 assembly for Limosilactobacillus reuteri WCA-386-APC-4I	contig	GCA_012843635	1598.1242	1598	48.97

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
65810	Limosilactobacillus reuteri strain DSM 108836 16S ribosomal RNA gene, partial sequence	MN537548	1536		1598

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Limosilactobacillus reuteri WCA-386-APC-4I
NCBI: GCA_012843635

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	54.70	no
125439	motility	BacteriaNetⓘ	no	56.30	no
125439	gram_stain	BacteriaNetⓘ	positive	69.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Limosilactobacillus reuteri WCA-386-APC-4I
NCBI: GCA_012843635.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	92.57	no
125438	anaerobic	anaerobicⓘ	no	82.99	no
125438	aerobic	aerobicⓘ	no	92.57	no
125438	spore-forming	spore-formingⓘ	no	85.37	no
125438	thermophilic	thermophileⓘ	no	97.34	yes
125438	flagellated	motile2+ⓘ	no	89.50	no

Literature

Title	Authors	Journal	DOI	Year
Characterization of adhesion between Limosilactobacillus reuteri and milk phospholipids by density gradient and gene expression.	Zhang L, Garcia-Cano I, Jimenez-Flores R.	JDS Commun	10.3168/jdsc.2020-18939	2020

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 )
#65810	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 108836
#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) .
#68380	Automatically annotated from API rID32A .
#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 .
#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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Limosilactobacillus reuteri (DSM 108836, WCA-386-APC-4I)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API rID32A

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_012843635

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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