Parabacteroides distasonis (DSM 29491, SAB-131-CoC-3)

Name: Parabacteroides distasonis (DSM 29491, SAB-131-CoC-3)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 130882

Type strain

Strain Designation SAB-131-CoC-3

Culture col. no. DSM 29491 SAB-131-CoC-3

NCBI tax ID(s) 823

Special Collections DSMZ Mouse DZIF

History DSMZ <- T. Clavel, TU Munich, Freising-Weihenstephan, Germany; SAB-131-CoC-3

Links

Parabacteroides distasonis SAB-131-CoC-3 is an anaerobe bacterium that was isolated from colon content; wildtype C57BL/6 mouse.

anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 402959

DSM 29491

@ref 20215

Last LPSN update 2026-05-29 08:37:29

Domain Bacteria

Phylum Bacteroidota

Class Bacteroidia

Order Bacteroidales

Family Tannerellaceae

Genus Parabacteroides

Species Parabacteroides distasonis

Full scientific name Parabacteroides distasonis (Eggerth and Gagnon 1933) Sakamoto and Benno 2006

Synonyms (1)

Bacteroides distasonis

BacDive ID	Other strains from **Parabacteroides distasonis** (17)	Type strain
12497	P. distasonis 10159, CIP 104284, DSM 20701, ATCC 8503, ... (type strain)
152089	P. distasonis CCUG 45716
156806	P. distasonis CCUG 65470
156930	P. distasonis CCUG 67118
157009	P. distasonis CCUG 68616
158876	P. distasonis WCA3-693-APC-2H, DSM 106899
158877	P. distasonis H6_9, DSM 108211
158878	P. distasonis H1_7, DSM 108218
159982	P. distasonis APCS2/PD, DSM 112022
161283	P. distasonis JCM 1294
161351	P. distasonis JCM 13400
161352	P. distasonis JCM 13401
161353	P. distasonis JCM 13402
161354	P. distasonis JCM 13403
161355	P. distasonis JCM 13404
169198	P. distasonis 31/2, DSM 24965, BEI HM-169
169199	P. distasonis Cla-AP-4, DSM 111137

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	94.536
125438	negative	91.271

Colony morphology

22191

Incubation period2-3 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
22191	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
22191	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

Culture temp

@ref	Growth	Type	Temperature (°C)
22191	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
22191	anaerobe
125439	obligate anaerobe	97.931

Spore formation

@ref	Spore formation	Confidence
125439		99.839

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68380	29016 ChEBI	arginine	-	hydrolysis	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-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-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	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	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
22191	-	-	+	-	-	+/-	+	-	-	+	-	-	-	-	-	-	+	+	-	+	+	+	-	+	+	+	+	+/-	+/-
22191	-	-	+	+	+/-	+	+	+	-	+	+	+	-	-	-	-	+	+	-	+	+	+	-	+	+	+	+	+	+
22191	-	-	+	+	+/-	+	+	+	-	+	+	+	-	-	-	-	+	+	-	+	+	+	-	+	+	+	+	+	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Mammals	#Muridae (Mouse/Rat)
#Host Body-Site	#Gastrointestinal tract	#Large intestine

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
22191	colon content; wildtype C57BL/6 mouse	Freising	Germany	DEU	Europe

Taxonmaps

69479

Global distribution of 16S sequence KR364782 (>99% sequence identity) for Parabacteroides distasonis subclade from Microbeatlas

Aquatic Samples	1082
Soil Samples	356
Animal Samples	73897
Plant Samples	184
Total Samples	75519

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
22191	2	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM2462210v1 assembly for Parabacteroides distasonis DSM 29491	contig	GCA_024622105	823.3906	823	70.88

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
22191	Parabacteroides distasonis strain SAB-131-CoC-3 16S ribosomal RNA gene, partial sequence	KR364782	1484		823

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM2462210v1 assembly for Parabacteroides distasonis DSM 29491
NCBI: GCA_024622105

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	gram_stain	BacteriaNetⓘ	negative	94.54	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	97.93	no
125439	motility	BacteriaNetⓘ	no	79.32	no
125439	spore_formation	BacteriaNetⓘ	no	99.84	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Parabacteroides distasonis DSM 29491
NCBI: GCA_024622105.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	91.27	no
125438	anaerobic	anaerobicⓘ	yes	85.67	no
125438	aerobic	aerobicⓘ	no	91.05	yes
125438	spore-forming	spore-formingⓘ	no	88.54	no
125438	thermophilic	thermophileⓘ	no	92.69	no
125438	flagellated	motile2+ⓘ	no	87.50	no

Literature

Title	Authors	Journal	DOI	Year
Akkermansia muciniphila and Parabacteroides distasonis synergistically protect from colitis by promoting ILC3 in the gut.	Gaifem J, Mendes-Frias A, Wolter M, Steimle A, Garzon MJ, Ubeda C, Nobre C, Gonzalez A, Pinho SS, Cunha C, Carvalho A, Castro AG, Desai MS, Rodrigues F, Silvestre R.	mBio	10.1128/mbio.00078-24	2024
Polyclonal Aptamers for Specific Fluorescence Labeling and Quantification of the Health Relevant Human Gut Bacterium Parabacteroides distasonis.	Xing H, Kissmann AK, Raber HF, Kramer M, Amann V, Kohn K, Weil T, Rosenau F.	Microorganisms	10.3390/microorganisms9112284	2021
Parabacteroides as a promising target for disease intervention: current stage and pending issues.	Liu J, Qiu H, Zhao J, Shao N, Chen C, He Z, Zhao X, Zhao J, Zhou Y, Xu L.	NPJ Biofilms Microbiomes	10.1038/s41522-025-00772-0	2025
Therapeutic potential of Parabacteroides distasonis in gastrointestinal and hepatic disease.	Duan J, Li Q, Cheng Y, Zhu W, Liu H, Li F.	MedComm (2020)	10.1002/mco2.70017	2024
Specific gFET-Based Aptasensors for Monitoring of Microbiome Quality: Quantification of the Enteric Health-Relevant Bacterium Roseburia Intestinalis.	Zhang Y, Xing H, Li R, Andersson J, Bozdogan A, Strassl R, Draphoen B, Linden M, Henkel M, Knippschild U, Hasler R, Kleber C, Knoll W, Kissmann AK, Rosenau F.	Adv Healthc Mater	10.1002/adhm.202403827	2025
A Polyclonal Selex Aptamer Library Directly Allows Specific Labelling of the Human Gut Bacterium Blautia producta without Isolating Individual Aptamers.	Xing H, Zhang Y, Kramer M, Kissmann AK, Henkel M, Weil T, Knippschild U, Rosenau F.	Molecules	10.3390/molecules27175693	2022

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 )
#22191	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 29491
#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 )

Rate our new design

Content

About us

Parabacteroides distasonis (DSM 29491, SAB-131-CoC-3)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

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_024622105

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media