Cellulosimicrobium cellulans (DSM 29131, CD1-BL204R1)

Name: Cellulosimicrobium cellulans (DSM 29131, CD1-BL204R1)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 130906

Type strain

Strain Designation CD1-BL204R1

Culture col. no. DSM 29131 CD1-BL204R1

NCBI tax ID(s) 1710

Special Collections DSMZ Mouse DZIF

Links

Cellulosimicrobium cellulans CD1-BL204R1 is an anaerobe, mesophilic prokaryote that was isolated from caecal content; wildtype C57BL/6 mouse.

anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 399200

DSM 29131

@ref 20215

Last LPSN update 2025-12-16 10:01:06

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Promicromonosporaceae

Genus Cellulosimicrobium

Species Cellulosimicrobium cellulans

Full scientific name Cellulosimicrobium cellulans (Metcalfe and Brown 1957) Schumann et al. 2001

Synonyms (7)

Cellulomonas cellulans
Brevibacterium lyticum
Nocardia cellulans
"Cellulomonas cartalyticum"
Brevibacterium fermentans
Oerskovia xanthineolytica
Cellulomonas cartae

BacDive ID	Other strains from **Cellulosimicrobium cellulans** (27)	Type strain
12575	C. cellulans DSM 43879, ATCC 12830, DSM 43189, IMET 7404, ... (type strain)
12571	C. cellulans DSM 7461
12572	C. cellulans DSM 20106, ATCC 21681, NCIB 11440, JCM 6201, ...
12573	C. cellulans DSM 20155, NCIB 9097
12574	C. cellulans DSM 20424, ATCC 21606, JCM 20471, CIP 78.63, ...
12576	C. cellulans DSM 43881, IMET 7075
12577	C. cellulans 1a(3), 24 Foal Blackwell, B10, FT 55-75, ...
12578	C. cellulans LL G-62, DSM 46030, ATCC 27402, CECT 3050, ...
12579	C. cellulans LL Y 13-4, LL Y13-4, DSM 46031, ATCC 27401, ...
12580	C. cellulans X 64, DSM 46215, CIP 66.11, IMET 10374, NCIB ...
103252	C. cellulans ST027450(HKI),
103253	C. cellulans ST032941(HKI), S024,
103254	C. cellulans ST032954(HKI), S038,
103255	C. cellulans ST032958(HKI), S042,
103256	C. cellulans ST033024(HKI),
103257	C. cellulans ST032577(HKI),
134800	C. cellulans CIP 66.26
135111	C. cellulans JL 43 GO, CIP 104849
135835	C. cellulans R424, CIP 101190
137827	C. cellulans 660.84, CIP 101063
139191	C. cellulans CIP 101191
145539	C. cellulans CCUG 28795
150973	C. cellulans CCUG 42917
153636	C. cellulans CCUG 50454
156459	C. cellulans CCUG 61916
157317	C. cellulans IMI 378895
162590	C. cellulans JCM 1972, ATCC 15921, BCRC 10023, CGMCC 1.1920, ...

Morphology

Colony morphology

22198

Incubation period2-3 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
22198	TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92)		Medium recipe at MediaDive	Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water
22198	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)	Range
22198	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

22198

Oxygen toleranceanaerobe

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68375	22599 ChEBI	arabinose	+	fermentation	from API ID32STA
68375	29016 ChEBI	arginine	-	hydrolysis	from API ID32STA
68375	17057 ChEBI	cellobiose	+	fermentation	from API ID32STA
68375	15824 ChEBI	D-fructose	+	fermentation	from API ID32STA
68375	17634 ChEBI	D-glucose	+	fermentation	from API ID32STA
68375	16899 ChEBI	D-mannitol	-	fermentation	from API ID32STA
68375	16024 ChEBI	D-mannose	+	fermentation	from API ID32STA
68375	16988 ChEBI	D-ribose	+	fermentation	from API ID32STA
68375	4853 ChEBI	esculin	+	hydrolysis	from API ID32STA
68375	17716 ChEBI	lactose	-	fermentation	from API ID32STA
68375	17306 ChEBI	maltose	+	fermentation	from API ID32STA
68375	59640 ChEBI	N-acetylglucosamine	+	fermentation	from API ID32STA
68375	17632 ChEBI	nitrate	+	reduction	from API ID32STA
68375	18257 ChEBI	ornithine	-	degradation	from API ID32STA
68375	16634 ChEBI	raffinose	-	fermentation	from API ID32STA
68375	17992 ChEBI	sucrose	+	fermentation	from API ID32STA
68375	27082 ChEBI	trehalose	+	fermentation	from API ID32STA
68375	32528 ChEBI	turanose	+	fermentation	from API ID32STA
68375	16199 ChEBI	urea	-	hydrolysis	from API ID32STA

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68375	15688 ChEBI	acetoin		from API ID32STA

Metabolite tests

@ref	Chebi-ID	Metabolite	Voges-proskauer-test
68375	15688 ChEBI	acetoin	-	from API ID32STA

Enzymes

@ref	Value	Activity	Ec
68375	alkaline phosphatase	+	3.1.3.1	from API ID32STA
68375	arginine dihydrolase	-	3.5.3.6	from API ID32STA
68375	beta-galactosidase	+	3.2.1.23	from API ID32STA
68375	beta-glucosidase	+	3.2.1.21	from API ID32STA
68375	beta-glucuronidase	-	3.2.1.31	from API ID32STA
68375	ornithine decarboxylase	-	4.1.1.17	from API ID32STA
68375	urease	-	3.5.1.5	from API ID32STA

API ID32STA

@ref	URE	ADH (Arg)	ODC	ESC	GLU	FRU	MNE	MAL	LAC	TRE	MAN	RAF	RIB	CEL	Reduction of nitrateNIT	Acetoin production (Voges Proskauer test)VP	beta GAL	L-arginine arylamidaseArgA	PAL	Pyrrolidonyl arylamidasePyrA	NOVO	SAC	NAG	TUR	ARA	beta GUR
22198	-	-	-	+	+	+	+	+	-	+	-	-	+	+	+	-	+	+/-	+	+/-	-	+	+	+	+	-
22198	-	-	-	+	+	+	+	+	-	+	-	-	+	+	+	-	+	+	+	+	+	+	+	+	+	-
22198	-	-	-	+	+	+	+	+	-	+	-	-	+	+	+	-	+	+/-	+	+/-	-	+	+	+	+	-

Isolation, sampling and environmental information

Isolation source categories

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

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
22198	caecal content; wildtype C57BL/6 mouse	Freising	Germany	DEU	Europe

Taxonmaps

69479

Global distribution of 16S sequence KR364748 (>99% sequence identity) for Cellulosimicrobium from Microbeatlas

Aquatic Samples	417
Soil Samples	1873
Animal Samples	1680
Plant Samples	1505
Total Samples	5475

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Pathogenicity animal	Biosafety level	Biosafety level comment
22198	yes, in single cases	yes, in single cases	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM2462294v1 assembly for Cellulosimicrobium cellulans DSM 29131	contig	GCA_024622945	1710.53	1710	25.85

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
22198	Cellulosimicrobium sp. BL204R1 16S ribosomal RNA gene, partial sequence	KR364748	1424		1796617

Genome-based predictions

Predictions

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Cellulosimicrobium cellulans DSM 29131
NCBI: GCA_024622945.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	89.38	no
125438	anaerobic	anaerobicⓘ	no	85.33	yes
125438	aerobic	aerobicⓘ	yes	75.58	no
125438	spore-forming	spore-formingⓘ	no	53.33	no
125438	thermophilic	thermophileⓘ	no	97.00	yes
125438	flagellated	motile2+ⓘ	no	68.00	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 )
#22198	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 29131
#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) .
#68375	Automatically annotated from API ID32STA .
#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 )
#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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