Corynebacterium accolens (CCUG 28780, CNCTC Th4/63, ATCC 49726)

Name: Corynebacterium accolens (CCUG 28780, CNCTC Th4/63, ATCC 49726)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 145532

Type strain

Culture col. no. CCUG 28780 CNCTC Th4/63 ATCC 49726

NCBI tax ID(s) 862512 38284

Special Collections CCUG

Links

Corynebacterium accolens CCUG 28780 is a mesophilic prokaryote that was isolated from Human nose.

mesophilic genome sequence

Name and taxonomic classification

SI-ID 42644

ATCC 49726,CCUG 28780,CNCTC 6805

@ref 20215

Last LPSN update 2025-12-16 10:04:52

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Corynebacteriaceae

Genus Corynebacterium

Species Corynebacterium accolens

Full scientific name Corynebacterium accolens Neubauer et al. 1991

BacDive ID	Other strains from **Corynebacterium accolens** (41)	Type strain
3166	C. accolens DSM 44278, ATCC 49725, CCUG 28779, CNCTC ... (type strain)
3165	C. accolens Riegel B 80466, DSM 44279, CCUG 35422, IBS ...
135846	C. accolens CIP 101982
137193	C. accolens CIP 101781
145533	C. accolens CCUG 28781, CNCTC Th8/85, ATCC 49727
146488	C. accolens CCUG 31309
146965	C. accolens CCUG 32557
147053	C. accolens CCUG 32747
147367	C. accolens CCUG 33467
147649	C. accolens CCUG 33951 A
148428	C. accolens CCUG 35421
149473	C. accolens CCUG 37805
149803	C. accolens CCUG 38437
149828	C. accolens CCUG 38485
149844	C. accolens CCUG 38528 A
150047	C. accolens CCUG 38912
150108	C. accolens CCUG 39002
150109	C. accolens CCUG 39003
150317	C. accolens CCUG 39622
150356	C. accolens CCUG 39716
150773	C. accolens CCUG 42276
150791	C. accolens CCUG 42341
151085	C. accolens CCUG 43237
151181	C. accolens CCUG 43413
151188	C. accolens CCUG 43423 A
151228	C. accolens CCUG 43511 B
151249	C. accolens CCUG 43540
151252	C. accolens CCUG 43544
152133	C. accolens CCUG 45872
152540	C. accolens CCUG 47029 A
153055	C. accolens CCUG 48385
153086	C. accolens CCUG 48444
153146	C. accolens CCUG 48578
153536	C. accolens CCUG 50111
153663	C. accolens CCUG 50537
153668	C. accolens CCUG 50582
153905	C. accolens CCUG 51581
154263	C. accolens CCUG 52920
154495	C. accolens CCUG 53872
155112	C. accolens CCUG 56508
155448	C. accolens CCUG 57796

Morphology

Cell morphology

@ref	Motility	Confidence	Gram stain
125438		96
125438		92.63	positive

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
49373	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	94.3

Spore formation

@ref	Spore formation	Confidence
125439		90.5

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68379	17634 ChEBI	D-glucose	+	fermentation	from API Coryne
68379	16899 ChEBI	D-mannitol	-	fermentation	from API Coryne
68379	16988 ChEBI	D-ribose	+	fermentation	from API Coryne
68379	65327 ChEBI	D-xylose	-	fermentation	from API Coryne
68379	4853 ChEBI	esculin	-	hydrolysis	from API Coryne
68379	5291 ChEBI	gelatin	-	hydrolysis	from API Coryne
68379	28087 ChEBI	glycogen	-	fermentation	from API Coryne
68379	17716 ChEBI	lactose	-	fermentation	from API Coryne
68379	17306 ChEBI	maltose	+	fermentation	from API Coryne
68379	17632 ChEBI	nitrate	+	reduction	from API Coryne
68379	17992 ChEBI	sucrose	+	fermentation	from API Coryne
68379	16199 ChEBI	urea	-	hydrolysis	from API Coryne

Enzymes

@ref	Value	Activity	Ec
68379	alkaline phosphatase	+	3.1.3.1	from API Coryne
68379	alpha-glucosidase	-	3.2.1.20	from API Coryne
68379	beta-galactosidase	-	3.2.1.23	from API Coryne
68379	beta-glucosidase	-	3.2.1.21	from API Coryne
68379	beta-glucuronidase	-	3.2.1.31	from API Coryne
68379	catalase	+	1.11.1.6	from API Coryne
68379	gelatinase	-		from API Coryne
68379	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API Coryne
68379	pyrazinamidase	+	3.5.1.B15	from API Coryne
68379	pyrrolidonyl arylamidase	+	3.4.19.3	from API Coryne
68379	urease	-	3.5.1.5	from API Coryne

API coryne

@ref	Reduction of nitrateNIT	PYZ	PYRA	PAL	beta GUR	beta GAL	alpha GLU	beta NAG	ESC	URE	GEL	Control fermentationControl	GLU	RIB	XYL	MAN	MAL	LAC	SAC	GLYG	CAT
49373	+	+	+	+	-	-	-	-	-	-	-	-	+	+	-	-	+	-	+	-	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	-
#Host Body-Site	#Organ	#Nose

Isolation

@ref	Sample type	Geographic location	Country	Continent
49373	Human nose	Prague	Czechoslovakia	Europe

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM14648v1 assembly for Corynebacterium accolens ATCC 49726	scaffold	GCA_000146485	862512.3	648276632	862512	44.77

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Corynebacterium accolens ATCC 49726
NCBI: GCA_000146485

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	90.50	no
125439	motility	BacteriaNetⓘ	no	57.00	no
125439	gram_stain	BacteriaNetⓘ	positive	82.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	94.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Corynebacterium accolens ATCC 49726 ATCC 49726
NCBI: GCA_000146485.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	92.63	no
125438	anaerobic	anaerobicⓘ	no	93.47	no
125438	aerobic	aerobicⓘ	yes	52.03	no
125438	spore-forming	spore-formingⓘ	no	85.27	no
125438	thermophilic	thermophileⓘ	no	96.50	yes
125438	flagellated	motile2+ⓘ	no	96.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Airway Corynebacterium interfere with Streptococcus pneumoniae and Staphylococcus aureus infection and express secreted factors selectively targeting each pathogen.	Tamkin E, Lorenz BP, McCarty A, Fulte S, Eisenmesser E, Horswill AR, Clark SE.	Infect Immun	10.1128/iai.00445-24	2025
	Corynebacterium accolens Has Antimicrobial Activity against Staphylococcus aureus and Methicillin-Resistant S. aureus Pathogens Isolated from the Sinonasal Niche of Chronic Rhinosinusitis Patients.	Menberu MA, Liu S, Cooksley C, Hayes AJ, Psaltis AJ, Wormald PJ, Vreugde S.	Pathogens	10.3390/pathogens10020207	2021
	Corynebacterium Species Inhibit Streptococcus pneumoniae Colonization and Infection of the Mouse Airway.	Horn KJ, Jaberi Vivar AC, Arenas V, Andani S, Janoff EN, Clark SE.	Front Microbiol	10.3389/fmicb.2021.804935	2021
	Commensal Microbes and Hair Follicle Morphogenesis Coordinately Drive Treg Migration into Neonatal Skin.	Scharschmidt TC, Vasquez KS, Pauli ML, Leitner EG, Chu K, Truong HA, Lowe MM, Sanchez Rodriguez R, Ali N, Laszik ZG, Sonnenburg JL, Millar SE, Rosenblum MD.	Cell Host Microbe	10.1016/j.chom.2017.03.001	2017
Metabolism	Corynebacterium accolens Releases Antipneumococcal Free Fatty Acids from Human Nostril and Skin Surface Triacylglycerols.	Bomar L, Brugger SD, Yost BH, Davies SS, Lemon KP.	mBio	10.1128/mbio.01725-15	2016
Metabolism	Two-component signal transduction in Corynebacterium glutamicum and other corynebacteria: on the way towards stimuli and targets.	Bott M, Brocker M.	Appl Microbiol Biotechnol	10.1007/s00253-012-4060-x	2012
Genetics	Genome sequence and description of Corynebacterium ihumii sp. nov.	Padmanabhan R, Dubourg G, Lagier JC, Couderc C, Michelle C, Raoult D, Fournier PE.	Stand Genomic Sci	10.4056/sigs.5149006	2014

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 )
#49373	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 28780
#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) .
#68379	Automatically annotated from API Coryne .
#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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Corynebacterium accolens (CCUG 28780, CNCTC Th4/63, ATCC 49726)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Enzymes

API coryne

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_000146485

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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