Cellulomonas carbonis (DSM 26485, CCTCC AB 2010450, CGMCC 1.10786)

Name: Cellulomonas carbonis (DSM 26485, CCTCC AB 2010450, CGMCC 1.10786)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 2375

Type strain

Strain Designation T26

Culture col. no. DSM 26485 CCTCC AB 2010450 CGMCC 1.10786 KCTC 19824 T26 2 more

NCBI tax ID(s) 1386092

Special Collections DSMZ JCM KCTC Literature strains

History <- KCTC; KCC 19824 CGMCC 1.10786 <-- Z. Shi et al. T26.

Links

Cellulomonas carbonis T26 is an aerobe, Gram-positive, motile bacterium that was isolated from subsurface soil of coal mine.

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

Name and taxonomic classification

SI-ID 400957

KCTC 19824,NBRC 110798,JCM 19664,DSM 26485

@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 carbonis

Full scientific name Cellulomonas carbonis Shi et al. 2012

Synonyms (1)

"Actinotalea carbonis"

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility	Confidence
30392	positive	2.2 µm	0.65 µm	rod-shaped
125439	positive					99.4

Pigmentation

30392

Productionyes

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
18245	BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514)		Medium recipe at MediaDive	Name: BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514) Composition: NaCl 19.45 g/l MgCl2 5.9 g/l Bacto peptone 5.0 g/l Na2SO4 3.24 g/l CaCl2 1.8 g/l Yeast extract 1.0 g/l KCl 0.55 g/l NaHCO3 0.16 g/l Fe(III) citrate 0.1 g/l KBr 0.08 g/l SrCl2 0.034 g/l H3BO3 0.022 g/l Na2HPO4 0.008 g/l Na-silicate 0.004 g/l NaF 0.0024 g/l (NH4)NO3 0.0016 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
18245	positive	growth	28
30392	positive	growth	04-45
30392	positive	optimum	28
67770	positive	growth	28

Culture pH

@ref	Ability	Type	PH	PH range
30392	positive	optimum	7
30392	positive	growth	06-10	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
30392	aerobe
125439	obligate aerobe	99.9

Halophily

@ref	Salt	Growth	Tested relation	Concentration
30392	NaCl	positive	growth	0-7 %

Observation

67770

Observationquinones: MK-9(H₄)

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
30392	22599 ChEBI	arabinose	+	carbon source
30392	4853 ChEBI	esculin	+	hydrolysis
30392	28757 ChEBI	fructose	+	carbon source
30392	28260 ChEBI	galactose	+	carbon source
30392	24265 ChEBI	gluconate	+	carbon source
30392	17234 ChEBI	glucose	+	carbon source
30392	28087 ChEBI	glycogen	+	carbon source
30392	17716 ChEBI	lactose	+	carbon source
30392	17306 ChEBI	maltose	+	carbon source
30392	37684 ChEBI	mannose	+	carbon source
30392	28053 ChEBI	melibiose	+	carbon source
30392	506227 ChEBI	N-acetylglucosamine	+	carbon source
30392	17632 ChEBI	nitrate	+	reduction
30392	16634 ChEBI	raffinose	+	carbon source
30392	17814 ChEBI	salicin	+	carbon source
30392	30911 ChEBI	sorbitol	+	carbon source
30392	17992 ChEBI	sucrose	+	carbon source
30392	18222 ChEBI	xylose	+	carbon source

Metabolite production

@ref	Chebi-ID	Metabolite	Production
30392	16136 ChEBI	hydrogen sulfide

Enzymes

@ref	Value	Activity	Ec
30392	acid phosphatase	+	3.1.3.2
30392	alpha-galactosidase	+	3.2.1.22
30392	catalase	+	1.11.1.6
30392	gelatinase	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Other	#Mine
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
18245	subsurface soil of coal mine	Xijin District, Tianjin	China	CHN	Asia
67770	Coal mine soil	Tianjin	China	CHN	Asia

Taxonmaps

69479

Global distribution of 16S sequence HQ702749 (>99% sequence identity) for Cellulomonas from Microbeatlas

Aquatic Samples	93
Soil Samples	46
Animal Samples	104
Plant Samples	13
Total Samples	256

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
18245	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	ASM1463627v1 assembly for Cellulomonas carbonis CGMCC 1.10786	scaffold	GCA_014636275	1386092.3	8112524797	1386092	61.45
67770	ASM76717v1 assembly for Cellulomonas carbonis T26	contig	GCA_000767175	947969.5	2636415627	947969

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
18245	Cellulomonas carbonis T26 16S ribosomal RNA gene, partial sequence	HQ702749	1442		947969

GC content

@ref	GC-content (mol%)	Method
18245	74.4
67770	74.4	high performance liquid chromatography (HPLC)
67770	73	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Cellulomonas carbonis CGMCC 1.10786
NCBI: GCA_014636275

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	66.40	no
125439	motility	BacteriaNetⓘ	no	66.90	no
125439	gram_stain	BacteriaNetⓘ	positive	99.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	99.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Cellulomonas carbonis CGMCC 1.10786
NCBI: GCA_014636275.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	89.80	yes
125438	anaerobic	anaerobicⓘ	no	95.99	yes
125438	aerobic	aerobicⓘ	yes	76.62	no
125438	spore-forming	spore-formingⓘ	no	64.90	no
125438	thermophilic	thermophileⓘ	no	96.37	no
125438	flagellated	motile2+ⓘ	no	62.37	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Draft genome sequence of Cellulomonas carbonis T26(T) and comparative analysis of six Cellulomonas genomes.	Zhuang W, Zhang S, Xia X, Wang G.	Stand Genomic Sci	10.1186/s40793-015-0096-8	2015
	Biotransformation of hydroquinone into alpha-arbutin by transglucosylation activity of a metagenomic amylosucrase.	Agarwal N, Rai AK, Singh SP.	3 Biotech	10.1007/s13205-021-02909-2	2021
	Maltooligosaccharides: Properties, Production and Applications.	Blahova M, Stefuca V, Hronska H, Rosenberg M.	Molecules	10.3390/molecules28073281	2023
Genetics	Genome-Based Taxonomic Classification of the Phylum Actinobacteria.	Nouioui I, Carro L, Garcia-Lopez M, Meier-Kolthoff JP, Woyke T, Kyrpides NC, Pukall R, Klenk HP, Goodfellow M, Goker M.	Front Microbiol	10.3389/fmicb.2018.02007	2018
Genetics	Physiological and Genomic Characterization of Actinotalea subterranea sp. nov. from Oil-Degrading Methanogenic Enrichment and Reclassification of the Family Actinotaleaceae.	Semenova EM, Grouzdev DS, Sokolova DS, Tourova TP, Poltaraus AB, Potekhina NV, Shishina PN, Bolshakova MA, Avtukh AN, Ianutsevich EA, Tereshina VM, Nazina TN.	Microorganisms	10.3390/microorganisms10020378	2022
Phylogeny	Actinotalea solisilvae sp. nov., isolated from forest soil and emended description of the genus Actinotalea.	Yan ZF, Lin P, Li CT, Kook M, Yi TH	Int J Syst Evol Microbiol	10.1099/ijsem.0.002584	2018
Phylogeny	Cellulomonas carbonis sp. nov., isolated from coal mine soil.	Shi Z, Luo G, Wang G	Int J Syst Evol Microbiol	10.1099/ijs.0.034934-0	2011

References

#18245	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 26485
#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 )
#26729	IJSEM 2004 2012 ( DOI 10.1099/ijs.0.034934-0 , PubMed 22021576 )
#30392	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 #26729
#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;
#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

Cellulomonas carbonis (DSM 26485, CCTCC AB 2010450, CGMCC 1.10786)

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

Metabolite production

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_014636275

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media