Pseudobacteroides cellulosolvens (DSM 2933, ATCC 35603, NRCC 2944)

Name: Pseudobacteroides cellulosolvens (DSM 2933, ATCC 35603, NRCC 2944)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 1581

Type strain

Strain Designation WM 2

Culture col. no. DSM 2933 ATCC 35603 NRCC 2944 WM 2

NCBI tax ID(s) 35825

Special Collections DSMZ

Links

Pseudobacteroides cellulosolvens WM 2 is an anaerobe, mesophilic prokaryote that was isolated from municipal sewage sludge.

anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 41189

ATCC 35603,DSM 2933,CCUG 52234

@ref 20215

Last LPSN update 2025-12-16 09:47:08

Domain Bacillati

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Oscillospiraceae

Genus Pseudobacteroides

Species Pseudobacteroides cellulosolvens

Full scientific name Pseudobacteroides cellulosolvens (Murray et al. 1984) Horino et al. 2014

Synonyms (1)

Bacteroides cellulosolvens

Morphology

Colony morphology

1253

Incubation period3-7 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
1253	BACTEROIDES CELLULOSOLVENS MEDIUM (DSMZ Medium 315)		Medium recipe at MediaDive	Name: BACTEROIDES CELLULOSOLVENS MEDIUM (DSMZ Medium 315) Composition: Cellulose 5.0 g/l Cellobiose 5.0 g/l NaHCO3 2.0 g/l NH4Cl 0.68 g/l K2HPO4 0.3 g/l Na2S x 9 H2O 0.25 g/l L-Cysteine HCl x H2O 0.25 g/l KH2PO4 0.18 g/l (NH4)2SO4 0.15 g/l MgSO4 x 7 H2O 0.03 g/l Nitrilotriacetic acid 0.015 g/l NaCl 0.01 g/l MnSO4 x H2O 0.005 g/l CoSO4 x 7 H2O 0.0018 g/l ZnSO4 x 7 H2O 0.0018 g/l Resazurin 0.001 g/l CaCl2 x 2 H2O 0.001 g/l FeSO4 x 7 H2O 0.001 g/l NiCl2 x 6 H2O 0.00025 g/l AlK(SO4)2 x 12 H2O 0.0002 g/l Na2MoO4 x 2 H2O 0.0001 g/l H3BO3 0.0001 g/l CuSO4 x 5 H2O 0.0001 g/l Pyridoxine hydrochloride 0.0001 g/l p-Aminobenzoic acid 5e-05 g/l D-Calcium pantothenate 5e-05 g/l Nicotinic acid 5e-05 g/l Riboflavin 5e-05 g/l Thiamine-HCl x 2 H2O 5e-05 g/l Lipoic acid 5e-05 g/l Biotin 2e-05 g/l Folic acid 2e-05 g/l Na2SeO3 x 5 H2O 3e-06 g/l Vitamin B12 1e-06 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
1253	positive	growth	35	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
1253	anaerobe
125438	anaerobe	91.736

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-fucosidase	-	3.2.1.51	from API rID32A
68380	alpha-galactosidase	-	3.2.1.22	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
1253	-	-	-	-	-	-	+	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
1253	-	-	-	-	-	-	+	+/-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Waste	#Sewage sludge

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
1253	municipal sewage sludge	Canada	CAN	North America

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
1253	1	Risk group (German 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	ASM126260v1 assembly for Pseudobacteroides cellulosolvens ATCC 35603 = DSM 2933	contig	GCA_001262605	398512.9	2695420353	398512	73.39
66792	ASM74584v1 assembly for Pseudobacteroides cellulosolvens ATCC 35603 = DSM 2933	scaffold	GCA_000745845	398512.8	2571042001	398512	49.68

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
1253	Bacteroides cellulosolvens (ATCC 35603) 16S ribosomal RNA (16S rRNA)	L35517	1464		35825
1253	Pseudobacteroides cellulosolvens ATCC 35603 = DSM 2933 16S ribosomal RNA, partial sequence	NR_025918	1464		398512

GC content

1253

GC-content (mol%)43.0

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Pseudobacteroides cellulosolvens ATCC 35603 = DSM 2933
NCBI: GCA_000745845

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	81.00	no
125439	motility	BacteriaNetⓘ	yes	75.40	no
125439	gram_stain	BacteriaNetⓘ	variable	83.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	85.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Pseudobacteroides cellulosolvens ATCC 35603 = DSM 2933 DSM 2933
NCBI: GCA_000745845.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	59.25	no
125438	anaerobic	anaerobicⓘ	yes	91.74	yes
125438	aerobic	aerobicⓘ	no	97.61	no
125438	spore-forming	spore-formingⓘ	yes	83.77	no
125438	thermophilic	thermophileⓘ	no	78.52	no
125438	flagellated	motile2+ⓘ	yes	75.43	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Discovery and Biosynthesis of Celluxanthenes, Antibacterial Arylpolyene Alkaloids From Diverse Cellulose-Degrading Anaerobic Bacteria.	Ishida K, Krabbe J, Meisinger PR, Shabuer G, Schieferdecker S, Cyrulies M, Tank C, Barnes E, Paetz C, Hertweck C.	Angew Chem Int Ed Engl	10.1002/anie.202503697	2025
	Influence of dietary carbohydrate profile on the dairy cow rumen meta-proteome.	Mulakala BK, Smith KM, Snider MA, Ayers A, Honan MC, Greenwood SL.	J Dairy Sci	10.3168/jds.2022-21812	2022
	Use of milk proteins as biomarkers of changes in the rumen metaproteome of Holstein cows fed low-fiber, high-starch diets.	Mulakala BK, Smith KM, Snider MA, Ayers A, Honan MC, Greenwood SL.	J Dairy Sci	10.3168/jds.2022-22910	2023
	Unique organization and unprecedented diversity of the Bacteroides (Pseudobacteroides) cellulosolvens cellulosome system.	Zhivin O, Dassa B, Morais S, Utturkar SM, Brown SD, Henrissat B, Lamed R, Bayer EA.	Biotechnol Biofuels	10.1186/s13068-017-0898-6	2017
Genetics	A Case Study into Microbial Genome Assembly Gap Sequences and Finishing Strategies.	Utturkar SM, Klingeman DM, Hurt RA, Brown SD.	Front Microbiol	10.3389/fmicb.2017.01272	2017
Biotechnology	Unraveling essential cellulosomal components of the (Pseudo)Bacteroides cellulosolvens reveals an extensive reservoir of novel catalytic enzymes.	Zhivin-Nissan O, Dassa B, Morag E, Kupervaser M, Levin Y, Bayer EA.	Biotechnol Biofuels	10.1186/s13068-019-1447-2	2019
Metabolism	Characterization of variations within the rumen metaproteome of Holstein dairy cattle relative to morning feed offering.	Honan MC, Greenwood SL.	Sci Rep	10.1038/s41598-020-59974-5	2020
	Pan-Cellulosomics of Mesophilic Clostridia: Variations on a Theme.	Dassa B, Borovok I, Lombard V, Henrissat B, Lamed R, Bayer EA, Morais S.	Microorganisms	10.3390/microorganisms5040074	2017
Genetics	Near-Complete Genome Sequence of the Cellulolytic Bacterium Bacteroides (Pseudobacteroides) cellulosolvens ATCC 35603.	Dassa B, Utturkar S, Hurt RA, Klingeman DM, Keller M, Xu J, Reddy YH, Borovok I, Rozman Grinberg I, Lamed R, Zhivin O, Bayer EA, Brown SD	Genome Announc	10.1128/genomeA.01022-15	2015
Phylogeny	Description of Anaerobacterium chartisolvens gen. nov., sp. nov., an obligately anaerobic bacterium from Clostridium rRNA cluster III isolated from soil of a Japanese rice field, and reclassification of Bacteroides cellulosolvens Murray et al. 1984 as Pseudobacteroides cellulosolvens gen. nov., comb. nov.	Horino H, Fujita T, Tonouchi A	Int J Syst Evol Microbiol	10.1099/ijs.0.059378-0	2014

References

#1253	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 2933
#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 )
#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 .
#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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Pseudobacteroides cellulosolvens (DSM 2933, ATCC 35603, NRCC 2944)

Name and taxonomic classification

Morphology

Colony 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

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_001262605

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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