Cellulomonas soli (DSM 24484, JCM 17535, Kc1)

Name: Cellulomonas soli (DSM 24484, JCM 17535, Kc1)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 2377

Type strain

Strain Designation Kc1

Culture col. no. DSM 24484 JCM 17535 Kc1 NBRC 109434

NCBI tax ID(s) 931535

Special Collections DSMZ JCM Literature strains

History <- K. Hatayama, Sagami Chemical Research Institute, Kanagawa, Japan; Kc1 <- K. Esaki K. Hatayama Kc1.

Links

Cellulomonas soli Kc1 is an aerobe, Gram-positive, motile bacterium that was isolated from Soil.

Gram-positive motile rod-shaped aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 405946

JCM 17535,NBRC109434,DSM 24484

@ref 20215

Last LPSN update 2026-02-09 11:18:16

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Cellulomonadaceae

Genus Cellulomonas

Species Cellulomonas soli

Full scientific name Cellulomonas soli Hatayama et al. 2013

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility	Confidence
30542	positive	6 µm	1.5 µm	rod-shaped
125439	positive					99.9

Pigmentation

30542

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
17687	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

Culture temp

@ref	Growth	Type	Temperature (°C)
17687	positive	growth	25
30542	positive	growth	15-37
30542	positive	optimum	25
67770	positive	growth	25

Culture pH

@ref	Ability	Type	PH	PH range
30542	positive	optimum	8.5
30542	positive	growth	06-11	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
30542	aerobe
125439	obligate aerobe	99.7

Halophily

@ref	Salt	Growth	Tested relation	Concentration
30542	NaCl	positive	growth	0-3 %
30542	NaCl	positive	optimum	1.5 %

Observation

67770

Observationquinones: MK-9(H₄)

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
30542	22599 ChEBI	arabinose	+	carbon source
30542	17057 ChEBI	cellobiose	+	carbon source
30542	28757 ChEBI	fructose	+	carbon source
30542	28260 ChEBI	galactose	+	carbon source
30542	5291 ChEBI	gelatin	+	carbon source
30542	17234 ChEBI	glucose	+	carbon source
30542	17754 ChEBI	glycerol	+	carbon source
30542	28087 ChEBI	glycogen	+	carbon source
30542	17306 ChEBI	maltose	+	carbon source
30542	37684 ChEBI	mannose	+	carbon source
30542	17632 ChEBI	nitrate	+	reduction
30542	16634 ChEBI	raffinose	+	carbon source
30542	17814 ChEBI	salicin	+	carbon source
30542	17992 ChEBI	sucrose	+	carbon source
30542	27082 ChEBI	trehalose	+	carbon source
30542	18222 ChEBI	xylose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
30542	catalase	+	1.11.1.6
30542	gelatinase	+

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	cellulose degradation	100	5 of 5
66794	methylglyoxal degradation	100	5 of 5
66794	L-lactaldehyde degradation	100	3 of 3
66794	ppGpp biosynthesis	100	4 of 4
66794	palmitate biosynthesis	100	22 of 22
66794	acetate fermentation	100	4 of 4
66794	adipate degradation	100	2 of 2
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	cardiolipin biosynthesis	100	7 of 7
66794	threonine metabolism	100	10 of 10
66794	formaldehyde oxidation	100	3 of 3
66794	coenzyme A metabolism	100	4 of 4
66794	starch degradation	100	10 of 10
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	folate polyglutamylation	100	1 of 1
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	vitamin K metabolism	100	5 of 5
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	denitrification	100	2 of 2
66794	heme metabolism	92.86	13 of 14
66794	Entner Doudoroff pathway	90	9 of 10
66794	molybdenum cofactor biosynthesis	88.89	8 of 9
66794	serine metabolism	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	NAD metabolism	88.89	16 of 18
66794	CO2 fixation in Crenarchaeota	88.89	8 of 9
66794	flavin biosynthesis	86.67	13 of 15
66794	reductive acetyl coenzyme A pathway	85.71	6 of 7
66794	phenylalanine metabolism	84.62	11 of 13
66794	glycolate and glyoxylate degradation	83.33	5 of 6
66794	pyrimidine metabolism	82.22	37 of 45
66794	pentose phosphate pathway	81.82	9 of 11
66794	glycogen metabolism	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	lipoate biosynthesis	80	4 of 5
66794	factor 420 biosynthesis	80	4 of 5
66794	photosynthesis	78.57	11 of 14
66794	d-mannose degradation	77.78	7 of 9
66794	valine metabolism	77.78	7 of 9
66794	purine metabolism	76.6	72 of 94
66794	alanine metabolism	75.86	22 of 29
66794	ketogluconate metabolism	75	6 of 8
66794	dTDPLrhamnose biosynthesis	75	6 of 8
66794	sulfopterin metabolism	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	C4 and CAM-carbon fixation	75	6 of 8
66794	isoleucine metabolism	75	6 of 8
66794	gluconeogenesis	75	6 of 8
66794	non-pathway related	73.68	28 of 38
66794	proline metabolism	72.73	8 of 11
66794	ubiquinone biosynthesis	71.43	5 of 7
66794	tetrahydrofolate metabolism	71.43	10 of 14
66794	glutamate and glutamine metabolism	71.43	20 of 28
66794	glycolysis	70.59	12 of 17
66794	methionine metabolism	69.23	18 of 26
66794	sphingosine metabolism	66.67	4 of 6
66794	degradation of hexoses	66.67	12 of 18
66794	cyanate degradation	66.67	2 of 3
66794	enterobactin biosynthesis	66.67	2 of 3
66794	methane metabolism	66.67	2 of 3
66794	octane oxidation	66.67	2 of 3
66794	acetoin degradation	66.67	2 of 3
66794	histidine metabolism	65.52	19 of 29
66794	isoprenoid biosynthesis	65.38	17 of 26
66794	citric acid cycle	64.29	9 of 14
66794	d-xylose degradation	63.64	7 of 11
66794	metabolism of disaccharids	63.64	7 of 11
66794	degradation of sugar alcohols	62.5	10 of 16
66794	leucine metabolism	61.54	8 of 13
66794	oxidative phosphorylation	61.54	56 of 91
66794	tryptophan metabolism	60.53	23 of 38
66794	propionate fermentation	60	6 of 10
66794	lipid metabolism	58.06	18 of 31
66794	glutathione metabolism	57.14	8 of 14
66794	aspartate and asparagine metabolism	55.56	5 of 9
66794	cysteine metabolism	55.56	10 of 18
66794	lysine metabolism	54.76	23 of 42
66794	degradation of pentoses	53.57	15 of 28
66794	butanoate fermentation	50	2 of 4
66794	cyclohexanol degradation	50	2 of 4
66794	kanosamine biosynthesis II	50	1 of 2
66794	mannosylglycerate biosynthesis	50	1 of 2
66794	coenzyme M biosynthesis	50	5 of 10
66794	ethanol fermentation	50	1 of 2
66794	arginine metabolism	50	12 of 24
66794	glycine metabolism	50	5 of 10
66794	degradation of sugar acids	48	12 of 25
66794	urea cycle	46.15	6 of 13
66794	carotenoid biosynthesis	45.45	10 of 22
66794	lipid A biosynthesis	44.44	4 of 9
66794	nitrate assimilation	44.44	4 of 9
66794	tyrosine metabolism	42.86	6 of 14
66794	propanol degradation	42.86	3 of 7
66794	arachidonate biosynthesis	40	2 of 5
66794	myo-inositol biosynthesis	40	4 of 10
66794	metabolism of amino sugars and derivatives	40	2 of 5
66794	sulfate reduction	38.46	5 of 13
66794	androgen and estrogen metabolism	37.5	6 of 16
66794	ascorbate metabolism	36.36	8 of 22
66794	IAA biosynthesis	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	arachidonic acid metabolism	33.33	6 of 18
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	degradation of aromatic, nitrogen containing compounds	33.33	4 of 12
66794	pantothenate biosynthesis	33.33	2 of 6
66794	sulfoquinovose degradation	33.33	1 of 3
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	vitamin B1 metabolism	30.77	4 of 13
66794	phenol degradation	30	6 of 20
66794	bile acid biosynthesis, neutral pathway	29.41	5 of 17
66794	mevalonate metabolism	28.57	2 of 7
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	cholesterol biosynthesis	27.27	3 of 11
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	vitamin E metabolism	25	1 of 4
66794	lactate fermentation	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	carnitine metabolism	25	2 of 8
66794	CMP-KDO biosynthesis	25	1 of 4
66794	biotin biosynthesis	25	1 of 4
66794	catecholamine biosynthesis	25	1 of 4
66794	allantoin degradation	22.22	2 of 9
66794	4-hydroxymandelate degradation	22.22	2 of 9
66794	polyamine pathway	21.74	5 of 23

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
17687	Soil	Kanegawa, Kawasaki, botanical garden	Japan	JPN	Asia
67770	Wet soil from a botanical garden	Kawasaki, Kanagawa Pref.	Japan	JPN	Asia

Taxonmaps

69479

Global distribution of 16S sequence AB602498 (>99% sequence identity) for Cellulomonas from Microbeatlas

Aquatic Samples	24
Soil Samples	147
Animal Samples	39
Plant Samples	19
Total Samples	229

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
17687	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
67770	ASM1340930v1 assembly for Cellulomonas soli DSM 24484	contig	GCA_013409305	931535.4	2831319000	931535	77.83
124043	ASM3953789v1 assembly for Cellulomonas soli JCM 17535	contig	GCA_039537895			931535	71.55
66792	ASM799253v1 assembly for Cellulomonas soli NBRC 109434	contig	GCA_007992535	931535.3	8112473241	931535	71.06

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
17687	Cellulomonas soli gene for 16S ribosomal RNA, partial sequence	AB602498	1446		931535

GC content

@ref	GC-content (mol%)	Method
17687	73.6	high performance liquid chromatography (HPLC)
30542	73.6

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Cellulomonas soli NBRC 109434
NCBI: GCA_007992535

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	65.90	no
125439	motility	BacteriaNetⓘ	no	79.80	no
125439	gram_stain	BacteriaNetⓘ	positive	99.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Cellulomonas soli strain DSM 24484
PATRIC: 931535.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	84.59	yes
125438	anaerobic	anaerobicⓘ	no	94.08	yes
125438	aerobic	aerobicⓘ	yes	64.84	no
125438	spore-forming	spore-formingⓘ	no	62.42	no
125438	thermophilic	thermophileⓘ	no	96.00	yes
125438	flagellated	motile2+ⓘ	no	61.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Cellulomonas soli sp. nov. and Cellulomonas oligotrophica sp. nov., isolated from soil.	Hatayama K, Esaki K, Ide T	Int J Syst Evol Microbiol	10.1099/ijs.0.038364-0	2012

References

#17687	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 24484
#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 )
#26873	IJSEM 60 2013 ( DOI 10.1099/ijs.0.038364-0 , PubMed 22328604 )
#30542	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #26873
#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) .
#66794	Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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 .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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Cellulomonas soli (DSM 24484, JCM 17535, Kc1)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Halophily

Observation

Metabolite utilization

Enzymes

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_013409305

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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