Limosilactobacillus reuteri (DSM 32035, I49)

Name: Limosilactobacillus reuteri (DSM 32035, I49)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 130968

Type strain

Strain Designation I49

Culture col. no. DSM 32035 I49

NCBI tax ID(s) 1598

Special Collections DSMZ Mouse DZIF

History <- B. Stecher, Max von Pettenkofer-Inst., Munich; I49

Links

Limosilactobacillus reuteri I49 is a microaerophile, mesophilic prokaryote that was isolated from C57BL/6J wildtype mouse.

microaerophile mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 402237

DSM 32035

@ref 20215

Last LPSN update 2026-02-09 11:31:21

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
158987	L. reuteri WCA-386-APC-4I, DSM 108836
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	Motility	Confidence	Gram stain
125438		90
125438		92.582	positive

Colony morphology

22260

Incubation period1-2 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
22260	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
22260	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
22260	microaerophile
125439	microaerophile	98

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Muridae (Mouse/Rat)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
22260	C57BL/6J wildtype mouse	Zurich	Switzerland	CHE	Europe

Taxonmaps

69479

Global distribution of 16S sequence KR364776 (>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
22260	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM168868v2 assembly for Limosilactobacillus reuteri I49	complete	GCA_001688685		2718217763	1598	97.31
66792	ASM1669704v1 assembly for Limosilactobacillus reuteri I49	chromosome	GCA_016697045	1598.1406	8003878414	1598	87.03
66792	ASM222165v1 assembly for Limosilactobacillus reuteri I49	contig	GCA_002221655	1598.349	2902505161	1598	77.68

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
22260	Limosilactobacillus reuteri strain I49 16S ribosomal RNA gene, partial sequence	KR364776	1560		1598

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Limosilactobacillus reuteri I49
IMG: 2718217763

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	86.00	no
125439	motility	BacteriaNetⓘ	no	82.00	no
125439	gram_stain	BacteriaNetⓘ	positive	88.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	microaerophile	98.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Limosilactobacillus reuteri I49
NCBI: GCA_001688685.2

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	92.58	no
125438	anaerobic	anaerobicⓘ	no	83.88	yes
125438	aerobic	aerobicⓘ	no	92.80	yes
125438	spore-forming	spore-formingⓘ	no	89.66	no
125438	thermophilic	thermophileⓘ	no	97.38	yes
125438	flagellated	motile2+ⓘ	no	90.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Pathogenicity	In vitro and in vivo selection and cost of bacteriophage resistance on natural Escherichia coli.	Cardoso LL, Gaissmaier MS, von Strempel A, Keys T, Matchado MS, Salvado Silva M, Ring D, Slack E, Stecher B.	Microlife	10.1093/femsml/uqaf017	2025
	Bacteriophages targeting protective commensals impair resistance against Salmonella Typhimurium infection in gnotobiotic mice.	von Strempel A, Weiss AS, Wittmann J, Salvado Silva M, Ring D, Wortmann E, Clavel T, Debarbieux L, Kleigrewe K, Stecher B.	PLoS Pathog	10.1371/journal.ppat.1011600	2023
	The human intestinal bacterium Eggerthella lenta influences gut metabolomes in gnotobiotic mice	Viehof A, Haange S, Streidl T, Schubert K, Engelmann B, Haller D, Rolle-Kampczyk U, von Bergen M, Clavel T.	Microbiome Res Rep		2024
	Nutritional and host environments determine community ecology and keystone species in a synthetic gut bacterial community.	Weiss AS, Niedermeier LS, von Strempel A, Burrichter AG, Ring D, Meng C, Kleigrewe K, Lincetto C, Hubner J, Stecher B.	Nat Commun	10.1038/s41467-023-40372-0	2023

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 )
#22260	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 32035
#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) .
#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 32035, I49)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001688685

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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