Corynebacterium sp. (NCTC 9755, NCIMB 10087, NCDO 1572)

Name: Corynebacterium sp. (NCTC 9755, NCIMB 10087, NCDO 1572)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 161334

Type strain

Culture col. no. NCTC 9755 NCIMB 10087 NCDO 1572 IAM 12584 BCRC 13877 1 more

NCBI tax ID(s) 1720

Special Collections JCM

Links

JCM 1326 is a mesophilic prokaryote of the family Corynebacteriaceae.

mesophilic genome sequence

Name and taxonomic classification

SI-ID 14093

LMG 19539,NCTC 9755,JCM 1326,CCRC 13877,IAM 12584,NCDO 1572,NCIMB 10087,NCDO1571,NCIMB 701572,NCTC7243,BCRC 13877,NCIB 10087

@ref 20215

Last LPSN update 2025-12-16 10:08:43

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Mycobacteriales

Family Corynebacteriaceae

Genus Corynebacterium

Full scientific name Corynebacterium Lehmann and Neumann 1896 (Approved Lists 1980)

Synonyms (3)

Caseobacter
Turicella
Bacterionema

Morphology

Cell morphology

@ref	Motility	Confidence	Gram stain
125438		93.917
125438		92.73	positive

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
67770	positive	growth	30	mesophilic

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		97.6

Observation

67770

Observationquinones: MK-8(H₂)

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	55064_G01 assembly for Corynebacterium striatum NCTC9755	contig	GCA_900447625	43770.658	2811995199	43770	78.31

GC content

@ref	GC-content (mol%)	Method
67770	58.7	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Corynebacterium striatum NCTC9755
NCBI: GCA_900447625

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	97.60	no
125439	motility	BacteriaNetⓘ	no	67.70	no
125439	gram_stain	BacteriaNetⓘ	positive	74.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	microaerophile	83.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Corynebacterium striatum strain NCTC9755
PATRIC: 43770.658

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	92.73	no
125438	anaerobic	anaerobicⓘ	no	94.32	no
125438	spore-forming	spore-formingⓘ	no	83.43	no
125438	aerobic	aerobicⓘ	yes	58.92	no
125438	thermophilic	thermophileⓘ	no	95.00	yes
125438	flagellated	motile2+ⓘ	no	93.92	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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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