Corynebacterium sanguinis (CCUG 58655, DSM 112991, NCTC 14287)

Name: Corynebacterium sanguinis (CCUG 58655, DSM 112991, NCTC 14287)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 155653

Type strain

Culture col. no. CCUG 58655 DSM 112991 NCTC 14287 CCM 8873

NCBI tax ID(s) 2594913

Special Collections CCUG DSMZ

Links

Corynebacterium sanguinis CCUG 58655 is a microaerophile, mesophilic prokaryote that was isolated from Human blood,47-yr-old man.

microaerophile mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 399718

NCTC 14287,DSM 112991,CCUG 58655

@ref 20215

Last LPSN update 2025-12-16 10:07:22

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Corynebacteriaceae

Genus Corynebacterium

Species Corynebacterium sanguinis

Full scientific name Corynebacterium sanguinis Jaén-Luchoro et al. 2020

BacDive ID	Other strains from **Corynebacterium sanguinis** (10)	Type strain
151026	C. sanguinis CCUG 43075, DSM 113103
151909	C. sanguinis CCUG 45173, DSM 113104
152751	C. sanguinis CCUG 47547
155220	C. sanguinis CCUG 56948, DSM 113105
155431	C. sanguinis CCUG 57747
155500	C. sanguinis CCUG 57899 A
155550	C. sanguinis CCUG 58103
155659	C. sanguinis CCUG 58734, DSM 113106
156099	C. sanguinis CCUG 60367
156276	C. sanguinis CCUG 60992

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	98.7
125439		96.1
125438		92
125438	positive	90.404

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
68616	COLUMBIA BLOOD MEDIUM (DSMZ Medium 693)		Medium recipe at MediaDive	Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
61735	positive	growth	37	mesophilic
68616	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
61735	microaerophile
125439	microaerophile	94.5

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

Fatty acid profile

Metadata FA analysis

@ref

61735

Fatty acid	Percentage	ECL
C17:1 ω9c	49	16.773
C18:1 ω9c	23.3	17.769
C17:0	7	17
C15:0	5.9	15
C16:0	5.8	16
C15:1 ω8c	2.8	14.792
C16:1 ω9c	2.4	15.774
C18:2 ω6,9c/C18:0 ANTE	2.3	17.724
C18:0	1.6	18

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
61735	-	+	-	+	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	#Male
#Host Body Product	#Fluids	#Blood
#Infection	#Patient	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude	Sampling date
61735	Human blood,47-yr-old man	Göteborg	Sweden	SWE	Europe			2009-09-09
68616	Human blood, 47 years old man	Gothenburg	Sweden	SWE	Europe	57.7089	11.9746 57.7089/11.9746

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM764123v1 assembly for Corynebacterium sanguinis CCUG 58655	complete	GCA_007641235	570374.3	2888669733	2594913	99.01

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
124043	Corynebacterium sp. CCUG 58655 16S ribosomal RNA gene, partial sequence.	MN174914	1038		2594913

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Corynebacterium sanguinis CCUG 58655
NCBI: GCA_007641235

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	84.70	no
125439	motility	BacteriaNetⓘ	no	96.10	no
125439	gram_stain	BacteriaNetⓘ	positive	98.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	microaerophile	94.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Corynebacterium sanguinis CCUG 58655
NCBI: GCA_007641235.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	90.40	no
125438	anaerobic	anaerobicⓘ	no	95.53	no
125438	aerobic	aerobicⓘ	yes	54.67	yes
125438	spore-forming	spore-formingⓘ	no	79.60	no
125438	thermophilic	thermophileⓘ	no	92.00	yes
125438	flagellated	motile2+ⓘ	no	92.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Exploring the Impact of Skin Care Routines on the Skin Microbiome and Possible Skin Disease Risk-A Pilot Study.	Dubli K, Balasundaram P, Chaudhari R, Vettrivelan S, Borawake A, Kapoor R, Kovalchuk I, Kapoor A, Singh R, Tripathi MB.	Biomedicines	10.3390/biomedicines13102371	2025
	Contact with adult hens affects the composition of skin and respiratory tract microbiota in newly hatched chicks.	Faldynova M, Prikrylova H, Sebkova A, Volf J, Karasova D, Crhanova M, Babak V, Rychlik I.	Poult Sci	10.1016/j.psj.2023.103302	2024
	Microbial signatures of neonatal bacterial meningitis from multiple body sites.	Hou Y, Zhang M, Jiang Q, Yang Y, Liu J, Yuan K, Sun Z, Liu X.	Front Cell Infect Microbiol	10.3389/fcimb.2023.1169101	2023
	The characteristics of tissue microbiota in different anatomical locations and different tissue types of the colorectum in patients with colorectal cancer.	Liu L, Shi J, Wang H, Du H, Yang J, Wei K, Zhou Z, Li M, Huang S, Zhan L, Li G, Lv Y, Shen H, Cai W.	mSystems	10.1128/msystems.00198-25	2025
	The abundance of the potential pathogen Staphylococcus hominis in the air microbiome in a dental clinic and its susceptibility to far-UVC light.	Aquino de Muro M, Shuryak I, Uhlemann AC, Tillman A, Seeram D, Zakaria J, Welch D, Erde SM, Brenner DJ.	Microbiologyopen	10.1002/mbo3.1348	2023
	Phylogenomic Reappraisal of Fatty Acid Biosynthesis, Mycolic Acid Biosynthesis and Clinical Relevance Among Members of the Genus Corynebacterium.	Dover LG, Thompson AR, Sutcliffe IC, Sangal V.	Front Microbiol	10.3389/fmicb.2021.802532	2021
Phylogeny	Corynebacterium guaraldiae sp. nov.: a new species of Corynebacterium from human infections.	de Oliveira Sant'Anna L, Dos Santos LS, Araujo MRB, da Rocha DJPG, Ramos JN, Baio PVP, Del Peloso PF, da Costa Ferreira Leite C, Peixoto RS, Almuzara M, Vay C, Barberis C, Sangal V, Burkovski A, Aguiar ERGR, Mattos-Guaraldi AL, Pacheco LGC, Vieira VV.	Braz J Microbiol	10.1007/s42770-023-00938-y	2023
Phylogeny	Corynebacterium lizhenjunii sp. nov., isolated from the respiratory tract of Marmota himalayana, and Corynebacterium qintianiae sp. nov., isolated from the lung tissue of Pseudois nayaur.	Zhou J, Xu M, Guo W, Yang J, Pu J, Lai XH, Jin D, Lu S, Zhang S, Huang Y, Zhu W, Huang Y, Zheng H, Xu J	Int J Syst Evol Microbiol	10.1099/ijsem.0.004803	2021
Phylogeny	Corynebacterium sanguinis sp. nov., a clinical and environmental associated corynebacterium.	Jaen-Luchoro D, Gonzales-Siles L, Karlsson R, Svensson-Stadler L, Molin K, Cardew S, Jensie-Markopolous S, Ohlen M, Inganas E, Skovbjerg S, Tindall BJ, Moore ERB	Syst Appl Microbiol	10.1016/j.syapm.2019.126039	2019

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 )
#61735	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 58655
#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 .
#68616	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 112991
#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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Corynebacterium sanguinis (CCUG 58655, DSM 112991, NCTC 14287)

Name and taxonomic classification