Waltera intestinalis (DSM 108985, WCA3-601-WT-6H, JCM 34425)

Name: Waltera intestinalis (DSM 108985, WCA3-601-WT-6H, JCM 34425)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 159187

Type strain

Strain Designation WCA3-601-WT-6H

Culture col. no. DSM 108985 WCA3-601-WT-6H JCM 34425

NCBI tax ID(s) 2606635

Special Collections DSMZ JCM Pig DZIF

History DSMZ <- T. Clavel , TU Munich, Freising-Weihenstephan, Germany; WCA3-601-WT-6H JCM <-- B. Abt; DSMZ, Germany; DSM 108985 (=WCA3-601-WT-6H) <-- T. Clavel; RWTH Aachen, Germany.

Links

Waltera intestinalis WCA3-601-WT-6H is a bacterium that was isolated from pig, WT, 24 weeks old, feces.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 407378

JCM 34425,DSM 108985

@ref 20215

Last LPSN update 2026-05-29 08:44:08

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Lachnospiraceae

Genus Waltera

Species Waltera intestinalis

Full scientific name Waltera intestinalis Wylensek et al. 2021

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
66010	WILKINS-CHALGREN ANAEROBE BROTH (DSMZ Medium 339)	Medium recipe at MediaDive	Name: WILKINS-CHALGREN ANAEROBE BROTH (DSMZ Medium 339) Composition: dehydrated Wilkins-Chalgren medium 33.0 g/l L-Cysteine HCl 0.3 g/l Sodium resazurin 0.0005 g/l Distilled water
66010	GAM Broth, modified (Gifu Anaerobic Medium Broth, modified) (DSMZ Medium 1715)	Medium recipe at MediaDive	Name: GAM Broth, mod. (Gifu Anaerobic Medium Broth, modified) (DSMZ Medium 1715) Composition: GAM Broth mod. powder 41.7 g/l Distilled water
66010	PYG MEDIUM (MODIFIED) (DSMZ Medium 104)	Medium recipe at MediaDive	Name: PYG MEDIUM (modified) (DSMZ Medium 104) Composition: Yeast extract 10.0 g/l Peptone 5.0 g/l Trypticase peptone 5.0 g/l Beef extract 5.0 g/l Glucose 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l K2HPO4 0.04 g/l KH2PO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Hemin 0.005 g/l Ethanol 0.0038 g/l Resazurin 0.001 g/l Tween 80 Vitamin K1 NaOH Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
66010	positive	growth	37
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate anaerobe	98.348

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	16634 ChEBI	raffinose	-	fermentation	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-glucosidase	-	3.2.1.20	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	glycin 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	serine arylamidase	-		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
66010	-	+	+/-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	-

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
66010	pig, WT, 24 weeks old, feces	Kranzberg (Bavaria)	Germany	DEU	Europe
67770	Feces of a German Landrace pig (minipig breed)	Freising	Germany	DEU	Europe

Taxonmaps

69479

Global distribution of 16S sequence MN537553 (>99% sequence identity) for Eubacteriales from Microbeatlas

Aquatic Samples	3328
Soil Samples	816
Animal Samples	147971
Plant Samples	374
Total Samples	152489

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM969599v1 assembly for Waltera intestinalis WCA3-601-WT-6H	contig	GCA_009695995	2606635.3	2936227777	2606635	69.45

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
66010	Waltera intestinalis strain WCA3-601-WT-6H 16S ribosomal RNA gene, partial sequence	MN537553	1470		2652306

GC content

@ref	GC-content (mol%)	Method
67770	46.3	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM969599v1 assembly for Waltera intestinalis WCA3-601-WT-6H
BV-BRC: 2606635.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	98.35	no
125439	gram_stain	BacteriaNetⓘ	variable	63.78	no
125439	motility	BacteriaNetⓘ	yes	71.20	no
125439	spore_formation	BacteriaNetⓘ	yes	49.12	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Lachnospiraceae bacterium WCA3-601-WT-6H
PATRIC: 2606635.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	69.41	no
125438	anaerobic	anaerobicⓘ	yes	85.02	no
125438	spore-forming	spore-formingⓘ	yes	50.39	no
125438	aerobic	aerobicⓘ	no	97.11	no
125438	thermophilic	thermophileⓘ	no	93.48	yes
125438	flagellated	motile2+ⓘ	yes	67.61	no

Literature

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 )
#66010	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 108985
#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;
#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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