Clostridioides difficile (CCUG 37785, ATCC 43601)

Name: Clostridioides difficile (CCUG 37785, ATCC 43601)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 149461

Type strain

Culture col. no. CCUG 37785 ATCC 43601

NCBI tax ID(s) 1496

Special Collections CCUG

Links

Clostridioides difficile CCUG 37785 is an anaerobe, mesophilic prokaryote of the family Peptostreptococcaceae.

anaerobe mesophilic genome sequence

Name and taxonomic classification

SI-ID 45150

ATCC 43601,CCUG 37785

@ref 20215

Last LPSN update 2025-12-16 10:05:52

Domain Bacillati

Phylum Bacillota

Class Clostridia

Order Peptostreptococcales

Family Peptostreptococcaceae

Genus Clostridioides

Species Clostridioides difficile

Full scientific name Clostridioides difficile (Hall and O'Toole 1935) Lawson et al. 2016

Synonyms (3)

"Peptoclostridium difficile"
"Bacillus difficilis"
Clostridium difficile

BacDive ID	Other strains from **Clostridioides difficile** (81)	Type strain
2582	C. difficile 1780, McClung 1780, 90556-M6S, 10008, DSM ... (type strain)
2583	C. difficile AA1, DSM 12056
2584	C. difficile A90, DSM 12057
22963	C. difficile R20291, DSM 27147, NCTC 13366
23853	C. difficile 630, DSM 27543, ATCC BAA-1382, NCTC 13307
23854	C. difficile 1470, DSM 27544, ATCC 43598, NCTC 13569, ...
23855	C. difficile 630 Delta erm, DSM 28645
134676	C. difficile CD196, CIP 107932
134703	C. difficile CIP 109239
135237	C. difficile W 1194, CIP 104903, ATCC 43594, CCUG 37779
135760	C. difficile CIP 110322
137137	C. difficile CIP 109238
137139	C. difficile CIP 109240, ATCC 43255, CCUG 19126, VPI 10463
138126	C. difficile 2149, CIP 104905, ATCC 43600, CCUG 37784
138128	C. difficile 545, CIP 104904, ATCC 43596, CCUG 37766
141963	C. difficile CCUG 8884
141965	C. difficile CCUG 9004
141966	C. difficile CCUG 9018
143578	C. difficile CCUG 20309
143948	C. difficile CCUG 22019
143949	C. difficile CCUG 22020
143950	C. difficile CCUG 22023
145666	C. difficile CCUG 29183
148544	C. difficile CCUG 35620
149446	C. difficile CCUG 37767
149447	C. difficile CCUG 37768
149448	C. difficile CCUG 37769
149449	C. difficile CCUG 37770
149450	C. difficile CCUG 37771
149451	C. difficile CCUG 37772
149452	C. difficile CCUG 37773
149453	C. difficile CCUG 37774
149454	C. difficile CCUG 37775
149455	C. difficile CCUG 37776
149456	C. difficile CCUG 37777
149457	C. difficile CCUG 37778
149458	C. difficile CCUG 37780, ATCC 43593
149459	C. difficile CCUG 37781, ATCC 43597
149460	C. difficile CCUG 37783, ATCC 43599
149462	C. difficile CCUG 37787, ATCC 43603
149536	C. difficile CCUG 37922
151958	C. difficile CCUG 45344
151959	C. difficile CCUG 45345
152338	C. difficile CCUG 46468
152339	C. difficile CCUG 46469
152340	C. difficile CCUG 46470
154467	C. difficile CCUG 53741
154468	C. difficile CCUG 53742
154474	C. difficile CCUG 53749
154520	C. difficile CCUG 54206
156075	C. difficile CCUG 60275, LBM 08.01.040
156076	C. difficile CCUG 60276, LBM 08.01.058
156768	C. difficile CCUG 64977
156771	C. difficile CCUG 65028
157662	C. difficile 4167/2013 1, DSM 27638
157663	C. difficile 4167/2013 2, DSM 27639
157664	C. difficile 4167/2013 3, DSM 27640
157665	C. difficile SC037-01-01, 6551/2013, DSM 28196
157666	C. difficile SC052-01-01, DSM 29688
157667	C. difficile SC009-01-01, DSM 29745
157668	C. difficile SC052-02-01, DSM 29747
157669	C. difficile CD-16-113, D/6474/2015, DSM 102978
157670	C. difficile 3525/15, Goe-91, DSM 105001
158911	C. difficile 3022, CD3022, DSM 101085
165126	C. difficile JCM 5243
165127	C. difficile JCM 5244
165128	C. difficile JCM 5245
165129	C. difficile JCM 5246
165130	C. difficile JCM 5247
165131	C. difficile JCM 5248
165132	C. difficile JCM 5249
165133	C. difficile JCM 5250
165134	C. difficile JCM 5251
165135	C. difficile JCM 5252
165136	C. difficile JCM 5253
165137	C. difficile JCM 5254
165138	C. difficile JCM 5256
165139	C. difficile JCM 5257
165140	C. difficile JCM 5258
176413	C. difficile RT 023, DSM 102859
176414	C. difficile RT 127, DSM 102860

Morphology

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
53871	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
53871	anaerobe
125438	anaerobe	91.819
125439	anaerobe	99.9

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM1906708v1 assembly for Clostridioides difficile CCUG37785	scaffold	GCA_019067085	1496.6057	1496	70.45

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Clostridioides difficile CCUG37785
NCBI: GCA_019067085

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	55.50	no
125439	motility	BacteriaNetⓘ	yes	64.60	no
125439	gram_stain	BacteriaNetⓘ	positive	81.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	99.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Clostridioides difficile CCUG37785
NCBI: GCA_019067085.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	59.54	no
125438	anaerobic	anaerobicⓘ	yes	91.82	yes
125438	aerobic	aerobicⓘ	no	97.27	no
125438	spore-forming	spore-formingⓘ	yes	66.78	no
125438	thermophilic	thermophileⓘ	no	90.89	no
125438	flagellated	motile2+ⓘ	yes	75.15	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Metabolism	Development of TaqMan-based quantitative PCR for sensitive and selective detection of toxigenic Clostridium difficile in human stools.	Kubota H, Sakai T, Gawad A, Makino H, Akiyama T, Ishikawa E, Oishi K.	PLoS One	10.1371/journal.pone.0111684	2014
	Characterization of the Dynamic Germination of Individual Clostridium difficile Spores Using Raman Spectroscopy and Differential Interference Contrast Microscopy.	Wang S, Shen A, Setlow P, Li YQ.	J Bacteriol	10.1128/jb.00200-15	2015
Phylogeny	Phenotypic and genotypic diversity of the flagellin gene (fliC) among Clostridium difficile isolates from different serogroups.	Tasteyre A, Karjalainen T, Avesani V, Delmee M, Collignon A, Bourlioux P, Barc MC.	J Clin Microbiol	10.1128/jcm.38.9.3179-3186.2000	2000
Phylogeny	Clostridium difficile genotyping based on slpA variable region in S-layer gene sequence: an alternative to serotyping.	Karjalainen T, Saumier N, Barc MC, Delmee M, Collignon A.	J Clin Microbiol	10.1128/jcm.40.7.2452-2458.2002	2002
Phylogeny	Typing of Clostridium difficile by western immunoblotting with 10 different antisera.	Kato H, Cavallaro JJ, Kato N, Bartley SL, Killgore GE, Watanabe K, Ueno K.	J Clin Microbiol	10.1128/jcm.31.2.413-415.1993	1993
Metabolism	Molecular characterization of fliD gene encoding flagellar cap and its expression among Clostridium difficile isolates from different serogroups.	Tasteyre A, Karjalainen T, Avesani V, Delmee M, Collignon A, Bourlioux P, Barc MC.	J Clin Microbiol	10.1128/jcm.39.3.1178-1183.2001	2001
Phylogeny	Use of an enzyme-linked immunoassay for Clostridium difficile serogrouping.	Delmee M, Depitre C, Corthier G, Ahoyo A, Avesani V.	J Clin Microbiol	10.1128/jcm.31.9.2526-2528.1993	1993
Phylogeny	Comparison of PCR-ribotyping, arbitrarily primed PCR, and pulsed-field gel electrophoresis for typing Clostridium difficile.	Bidet P, Lalande V, Salauze B, Burghoffer B, Avesani V, Delmee M, Rossier A, Barbut F, Petit JC.	J Clin Microbiol	10.1128/jcm.38.7.2484-2487.2000	2000
	Characterization of flagella of Clostridium difficile and their role in serogrouping reactions.	Delmee M, Avesani V, Delferriere N, Burtonboy G.	J Clin Microbiol	10.1128/jcm.28.10.2210-2214.1990	1990
	Development of an Effective Nontoxigenic Clostridioides difficile-Based Oral Vaccine against C. difficile Infection.	Wang S, Zhu D, Sun X	Microbiol Spectr	10.1128/spectrum.00263-22	2022
Pathogenicity	Genomic and Phenotypic Characterization of the Nontoxigenic Clostridioides difficile Strain CCUG37785 and Demonstration of Its Therapeutic Potential for the Prevention of C. difficile Infection.	Wang S, Heuler J, Wickramage I, Sun X	Microbiol Spectr	10.1128/spectrum.01788-21	2022

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 )
#53871	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 37785
#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 .
#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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Clostridioides difficile (CCUG 37785, ATCC 43601)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_019067085

Genome-based predictions

Predictions

Literature

Literature

References

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