Cite this strain

Clostridium felsineum (DSM 7320, ATCC 17797, 653)

Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 2656

Type strain

Strain Designation 653

Culture col. no. DSM 7320 ATCC 17797 653

NCBI tax ID(s) 36839

Special Collections DSMZ

Name and taxonomic classification

Clostridium felsineum 653 is an anaerobe, mesophilic bacterium that was isolated from german maize.

anaerobe mesophilic genome sequence 16S sequence Bacteria

Culture Collection Numbers

DSM 7320 ATCC 17797 653

Last LPSN update 2024-12-09 10:43:26

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Clostridiaceae

Genus Clostridium

Species Clostridium felsineum

Full scientific name Clostridium felsineum (Carbone and Tombolato 1917) Bergey et al. 1939 (Approved Lists 1980)

Synonyms (3)

Clostridium aurantibutyricum
Clostridium roseum
"Bacillus felsineus"

BacDive ID	Other strains from **Clostridium felsineum** (3)	Type strain
2586	C. felsineum 541, DSM 794, ATCC 17788, NCIMB 10690, JCM ... (type strain)
2543	C. felsineum 2038, 10022, DSM 793, ATCC 17777, NCIMB 10659, ...
2655	C. felsineum Wis 42-A, DSM 6424, NRRL B-575

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
2996	PY + X MEDIUM (N2/CO2) (DSMZ Medium 104c)		Medium recipe at MediaDive	Name: PY + X MEDIUM (N2/CO2) (DSMZ Medium 104c) Composition: Yeast extract 10.0 g/l D-Glucose 5.0 g/l Trypticase peptone 5.0 g/l Meat peptone 5.0 g/l Na2CO3 1.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l KH2PO4 0.04 g/l K2HPO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Sodium resazurin 0.0005 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
2996	positive	growth	37	mesophilic

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		92.1

Oxygen tolerance

@ref	Oxygen tolerance
2996	anaerobe
125439	facultative anaerobe

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Plants	#Herbaceous plants (Grass,Crops)

Isolation

2996

Sample typegerman maize

Safety information

Risk assessment

@ref	Biosafety level	Biosafety level comment
2996	1	Risk group (German classification) According to TRBA 466

Sequence information

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
2996	Clostridium roseum 16S rRNA gene, partial, strain DSM 7320	Y18170	1420		84029

Genome sequences

@ref	Description	Accession	Assembly level	Database	NCBI tax ID
66792	Clostridium felsineum DSM 7320	GCA_002006215	complete		36839
66792	Clostridium roseum strain DSM 7320	84029.9	wgs	PATRIC	84029
66792	Clostridium roseum DSM 7320	2687453704	draft	JGI IMG/M	84029

Genome-based predictions

Predictions

Predictions from Diaspora project based on:
Clostridium felsineum DSM 7320
NCBI: GCA_002006215

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	92.10	no
125439	motility	BacteriaNetⓘ	yes	86.60	no
125439	gram_stain	BacteriaNetⓘ	positive	79.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	99.10	no

Predictions from Diaspora project based on:
Clostridium roseum strain DSM 7320
PATRIC: 84029.9

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	65.38	no
125438	anaerobic	anaerobicⓘ	yes	87.30	no
125438	aerobic	aerobicⓘ	no	94.55	yes
125438	spore-forming	spore-formingⓘ	yes	78.33	no
125438	thermophilic	thermophileⓘ	no	91.56	no
125438	flagellated	motile2+ⓘ	yes	80.24	no

External links

Culture collection no.

Culture collection no.
DSM 7320
ATCC 17797
653

References

#2996	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 7320
#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 )
#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) .
#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 .

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