Clostridium innocuum (DSM 1286, ATCC 14501, NCIB 10674)

Name: Clostridium innocuum (DSM 1286, ATCC 14501, NCIB 10674)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 2603

Type strain

Strain Designation B-3

Culture col. no. DSM 1286 ATCC 14501 NCIB 10674 B-3 NCIMB 10674 6 more

NCBI tax ID(s) 1522

Special Collections DSMZ CCUG JCM KCTC

History DSMZ <- ATCC <- L.DS. Smith, B-3 <- E. King, CDC <- Murfreesboro Medical Clinic, Tenn., USA JCM <-- ATCC 14501 <-- L. DS. Smith B-3 <-- CDC (E. King) <-- Murfreesboro Med. Clinic, TN, USA.

Links

Clostridium innocuum B-3 is an anaerobe bacterium that was isolated from appendiceal abscess.

anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 92603

ATCC 14501,CCUG 24036,DSM 1286,NCIB 10674,CCUG 35868,CCUG 36763,NCIMB 10674,JCM 1292,CCRC 14517,BCRC 14517,KCTC 5183,LMG 28905

@ref 20215

Last LPSN update 2026-05-29 08:25:30

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Clostridiaceae

Genus Clostridium

Species Clostridium innocuum

Full scientific name Clostridium innocuum Smith and King 1962 (Approved Lists 1980)

BacDive ID	Other strains from **Clostridium innocuum** (10)	Type strain
130922	C. innocuum I46, DSM 26113
130921	C. innocuum A-C3-1, DSM 29132
2604	C. innocuum SB23, DSM 22910
149069	C. innocuum CCUG 36812
151996	C. innocuum CCUG 45485
152489	C. innocuum CCUG 46922
155352	C. innocuum CCUG 57429
158912	C. innocuum BSM-380-WT-2D, DSM 100998
158913	C. innocuum H4_16, DSM 108163
160008	C. innocuum Cla-CZ-133, DSM 107457

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
606	CHOPPED MEAT MEDIUM (DSMZ Medium 78)		Medium recipe at MediaDive	Name: CHOPPED MEAT MEDIUM (DSMZ Medium 78) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Agar 15.0 g/l Ethanol 9.5 g/l (optional) K2HPO4 5.0 g/l Yeast extract 5.0 g/l L-Cysteine HCl 0.5 g/l Haemin 0.005 g/l (optional) Resazurin 0.001 g/l Vitamin K3 0.0005 g/l (optional) Vitamin K1 (optional) NaOH (optional) Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
606	positive	growth	37
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
606	anaerobe
125439	facultative anaerobe	93.345

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	cellulose degradation	100	5 of 5
66794	cardiolipin biosynthesis	100	7 of 7
66794	pentose phosphate pathway	100	11 of 11
66794	adipate degradation	100	2 of 2
66794	ribulose monophosphate pathway	100	2 of 2
66794	coenzyme A metabolism	100	4 of 4
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	L-lactaldehyde degradation	100	3 of 3
66794	teichoic acid biosynthesis	100	1 of 1
66794	suberin monomers biosynthesis	100	2 of 2
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	folate polyglutamylation	100	1 of 1
66794	degradation of sugar alcohols	93.75	15 of 16
66794	peptidoglycan biosynthesis	93.33	14 of 15
66794	vitamin B1 metabolism	92.31	12 of 13
66794	threonine metabolism	90	9 of 10
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	valine metabolism	88.89	8 of 9
66794	flavin biosynthesis	86.67	13 of 15
66794	palmitate biosynthesis	86.36	19 of 22
66794	reductive acetyl coenzyme A pathway	85.71	6 of 7
66794	Entner Doudoroff pathway	80	8 of 10
66794	starch degradation	80	8 of 10
66794	glycogen metabolism	80	4 of 5
66794	photosynthesis	78.57	11 of 14
66794	heme metabolism	78.57	11 of 14
66794	d-mannose degradation	77.78	7 of 9
66794	NAD metabolism	77.78	14 of 18
66794	serine metabolism	77.78	7 of 9
66794	purine metabolism	77.66	73 of 94
66794	pyrimidine metabolism	75.56	34 of 45
66794	lactate fermentation	75	3 of 4
66794	glycogen biosynthesis	75	3 of 4
66794	isoleucine metabolism	75	6 of 8
66794	acetate fermentation	75	3 of 4
66794	C4 and CAM-carbon fixation	75	6 of 8
66794	butanoate fermentation	75	3 of 4
66794	glutamate and glutamine metabolism	75	21 of 28
66794	ppGpp biosynthesis	75	3 of 4
66794	alanine metabolism	72.41	21 of 29
66794	propanol degradation	71.43	5 of 7
66794	glycolysis	70.59	12 of 17
66794	phenylalanine metabolism	69.23	9 of 13
66794	methane metabolism	66.67	2 of 3
66794	glycolate and glyoxylate degradation	66.67	4 of 6
66794	octane oxidation	66.67	2 of 3
66794	cyanate degradation	66.67	2 of 3
66794	formaldehyde oxidation	66.67	2 of 3
66794	acetoin degradation	66.67	2 of 3
66794	CO2 fixation in Crenarchaeota	66.67	6 of 9
66794	d-xylose degradation	63.64	7 of 11
66794	dTDPLrhamnose biosynthesis	62.5	5 of 8
66794	gluconeogenesis	62.5	5 of 8
66794	ketogluconate metabolism	62.5	5 of 8
66794	histidine metabolism	62.07	18 of 29
66794	oxidative phosphorylation	61.54	56 of 91
66794	methionine metabolism	61.54	16 of 26
66794	non-pathway related	60.53	23 of 38
66794	phenylacetate degradation (aerobic)	60	3 of 5
66794	glycine betaine biosynthesis	60	3 of 5
66794	hydrogen production	60	3 of 5
66794	factor 420 biosynthesis	60	3 of 5
66794	methylglyoxal degradation	60	3 of 5
66794	metabolism of amino sugars and derivatives	60	3 of 5
66794	citric acid cycle	57.14	8 of 14
66794	tetrahydrofolate metabolism	57.14	8 of 14
66794	tryptophan metabolism	55.26	21 of 38
66794	metabolism of disaccharids	54.55	6 of 11
66794	proline metabolism	54.55	6 of 11
66794	leucine metabolism	53.85	7 of 13
66794	sphingosine metabolism	50	3 of 6
66794	ethanol fermentation	50	1 of 2
66794	CMP-KDO biosynthesis	50	2 of 4
66794	myo-inositol biosynthesis	50	5 of 10
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	50	4 of 8
66794	isoprenoid biosynthesis	50	13 of 26
66794	degradation of pentoses	50	14 of 28
66794	sulfopterin metabolism	50	2 of 4
66794	toluene degradation	50	2 of 4
66794	glycine metabolism	50	5 of 10
66794	cis-vaccenate biosynthesis	50	1 of 2
66794	selenocysteine biosynthesis	50	3 of 6
66794	phenylmercury acetate degradation	50	1 of 2
66794	cysteine metabolism	50	9 of 18
66794	urea cycle	46.15	6 of 13
66794	sulfate reduction	46.15	6 of 13
66794	arginine metabolism	45.83	11 of 24
66794	molybdenum cofactor biosynthesis	44.44	4 of 9
66794	nitrate assimilation	44.44	4 of 9
66794	degradation of hexoses	44.44	8 of 18
66794	tyrosine metabolism	42.86	6 of 14
66794	ubiquinone biosynthesis	42.86	3 of 7
66794	lipid metabolism	41.94	13 of 31
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	lysine metabolism	40.48	17 of 42
66794	gallate degradation	40	2 of 5
66794	4-hydroxyphenylacetate degradation	40	4 of 10
66794	phenylpropanoid biosynthesis	38.46	5 of 13
66794	phosphatidylethanolamine bioynthesis	38.46	5 of 13
66794	ascorbate metabolism	36.36	8 of 22
66794	degradation of sugar acids	36	9 of 25
66794	glutathione metabolism	35.71	5 of 14
66794	IAA biosynthesis	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	enterobactin biosynthesis	33.33	1 of 3
66794	lipid A biosynthesis	33.33	3 of 9
66794	coenzyme M biosynthesis	30	3 of 10
66794	phenol degradation	30	6 of 20
66794	propionate fermentation	30	3 of 10
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	vitamin B6 metabolism	27.27	3 of 11
66794	3-phenylpropionate degradation	26.67	4 of 15
66794	biotin biosynthesis	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	carnitine metabolism	25	2 of 8
66794	vitamin B12 metabolism	23.53	8 of 34
66794	allantoin degradation	22.22	2 of 9
66794	4-hydroxymandelate degradation	22.22	2 of 9

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body-Site	#Gastrointestinal tract	#Large intestine
#Host Body-Site	#Other	#Abscess

Isolation

@ref	Sample type
606	appendiceal abscess
67770	Appendiceal abscess

Taxonmaps

69479

Global distribution of 16S sequence AB971793 (>99% sequence identity) for [Clostridium] innocuum subclade from Microbeatlas

Aquatic Samples	1
Soil Samples	1
Animal Samples	1573
Plant Samples	0
Total Samples	1575

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
606	2	Risk group (German classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1231718v1 assembly for [Clostridium] innocuum ATCC 14501	complete	GCA_012317185	1522.132	8048272315	1522	93.24
124043	ASM3952130v1 assembly for [Clostridium] innocuum JCM 1292	scaffold	GCA_039521305			1522	54.25
66792	ASM1845880v1 assembly for [Clostridium] innocuum ATCC 14501	scaffold	GCA_018458805	1522.172		1522	51.18

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Clostridium innocuum strain DSM 1286 16S ribosomal RNA gene, partial sequence	HM245947	832	1522
606	[Clostridium] innocuum strain B-3 16S ribosomal RNA gene, partial sequence	M23732	1543	1522
67770	[Clostridium] innocuum gene for 16S ribosomal RNA, partial sequence, strain: JCM 1292	AB971793	1501	1522

GC content

@ref	GC-content (mol%)	Method
606	44.0
67770	44	thermal denaturation, midpoint method (Tm)
67770	44.5	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1231718v1 assembly for [Clostridium] innocuum ATCC 14501
BV-BRC: 1522.132

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	93.35	no
125439	gram_stain	BacteriaNetⓘ	variable	69.33	no
125439	motility	BacteriaNetⓘ	yes	85.28	no
125439	spore_formation	BacteriaNetⓘ	yes	89.16	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: [Clostridium] innocuum ATCC 14501
NCBI: GCA_012317185.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	77.48	no
125438	anaerobic	anaerobicⓘ	yes	83.45	yes
125438	aerobic	aerobicⓘ	no	96.80	yes
125438	spore-forming	spore-formingⓘ	no	52.98	no
125438	thermophilic	thermophileⓘ	no	92.29	yes
125438	flagellated	motile2+ⓘ	no	78.01	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Oral supplementation of nicotinamide riboside alters intestinal microbial composition in rats and mice, but not humans.	Peluso AA, Lundgaard AT, Babaei P, Mousovich-Neto F, Rocha AL, Damgaard MV, Bak EG, Gnanasekaran T, Dollerup OL, Trammell SAJ, Nielsen TS, Kern T, Abild CB, Sulek K, Ma T, Gerhart-Hines Z, Gillum MP, Arumugam M, Orskov C, McCloskey D, Jessen N, Herrgard MJ, Mori MAS, Treebak JT.	NPJ Aging	10.1038/s41514-023-00106-4	2023
	Measurement of Oro-Cecal Transit Time in LPS-Treated Pigs Fed High and Low Fiber Diets Using the Lactose-¹³C-Ureide Test in Breath and Saliva Samples.	Cavalleri M, Sciascia QL, Gors S, Vernunft A, Reyer H, Wimmers K, Zentek J, Kluess J, Danicke S, Metges CC.	J Agric Food Chem	10.1021/acs.jafc.5c00534	2025
	Translocation of Viable Gut Microbiota to Mesenteric Adipose Drives Formation of Creeping Fat in Humans.	Ha CWY, Martin A, Sepich-Poore GD, Shi B, Wang Y, Gouin K, Humphrey G, Sanders K, Ratnayake Y, Chan KSL, Hendrick G, Caldera JR, Arias C, Moskowitz JE, Ho Sui SJ, Yang S, Underhill D, Brady MJ, Knott S, Kaihara K, Steinbaugh MJ, Li H, McGovern DPB, Knight R, Fleshner P, Devkota S.	Cell	10.1016/j.cell.2020.09.009	2020
Metabolism	Methotrexate impacts conserved pathways in diverse human gut bacteria leading to decreased host immune activation.	Nayak RR, Alexander M, Deshpande I, Stapleton-Gray K, Rimal B, Patterson AD, Ubeda C, Scher JU, Turnbaugh PJ.	Cell Host Microbe	10.1016/j.chom.2020.12.008	2021
Metabolism	SIMMER employs similarity algorithms to accurately identify human gut microbiome species and enzymes capable of known chemical transformations.	Bustion AE, Nayak RR, Agrawal A, Turnbaugh PJ, Pollard KS.	Elife	10.7554/elife.82401	2023
Pathogenicity	Draft genome assemblies of 35 bacteria isolated from hibernating arctic ground squirrels.	McKee H, Mullen L, Drown DM, Duddleston KN.	Microbiol Resour Announc	10.1128/mra.00972-24	2025
Pathogenicity	Identification of Clostridium innocuum hypothetical protein that is cross-reactive with C. difficile anti-toxin antibodies.	Cherny KE, Balaji A, Mukherjee J, Goo YA, Hauser AR, Ozer E, Satchell KJF, Bachta KER, Kochan TJ, Mitra SD, Kociolek LK.	Anaerobe	10.1016/j.anaerobe.2022.102555	2022
Metabolism	Diversity and Prevalence of Clostridium innocuum in the Human Gut Microbiota.	Bhattacharjee D, Flores C, Woelfel-Monsivais C, Seekatz AM.	mSphere	10.1128/msphere.00569-22	2023
Genetics	Identification and specificity validation of unique and antimicrobial resistance genes to trace suspected pathogenic AMR bacteria and to monitor the development of AMR in non-AMR strains in the environment and clinical settings.	Rekadwad BN, Pramod N, Rao MPN, Hashem A, Avila-Quezada GD, Abd Allah EF.	Saudi J Biol Sci	10.1016/j.sjbs.2023.103869	2023
Genetics	Conservation and Evolution of the Sporulation Gene Set in Diverse Members of the Firmicutes.	Galperin MY, Yutin N, Wolf YI, Vera Alvarez R, Koonin EV.	J Bacteriol	10.1128/jb.00079-22	2022
Metabolism	Biotransformation of Doxorubicin Promotes Resilience in Simplified Intestinal Microbial Communities.	Blaustein RA, Seed PC, Hartmann EM.	mSphere	10.1128/msphere.00068-21	2021
	Food Additive P-80 Impacts Mouse Gut Microbiota Promoting Intestinal Inflammation, Obesity and Liver Dysfunction.	Singh RK, Wheildon N, Ishikawa S.	SOJ Microbiol Infect Dis	10.15226/sojmid/4/1/00148	2016
Enzymology	Rapid detection of Clostridium difficile in feces by real-time PCR.	Belanger SD, Boissinot M, Clairoux N, Picard FJ, Bergeron MG.	J Clin Microbiol	10.1128/jcm.41.2.730-734.2003	2003
Phylogeny	Identification and antimicrobial resistance patterns of clinical isolates of Clostridium clostridioforme, Clostridium innocuum, and Clostridium ramosum compared with those of clinical isolates of Clostridium perfringens.	Alexander CJ, Citron DM, Brazier JS, Goldstein EJ.	J Clin Microbiol	10.1128/jcm.33.12.3209-3215.1995	1995
Enzymology	Abilities of the mCP Agar method and CRENAME alpha toxin-specific real-time PCR assay to detect Clostridium perfringens spores in drinking water.	Maheux AF, Berube E, Boudreau DK, Villeger R, Cantin P, Boissinot M, Bissonnette L, Bergeron MG.	Appl Environ Microbiol	10.1128/aem.02791-13	2013
Metabolism	Influence of lipoteichoic acid structure on recognition by the macrophage scavenger receptor.	Greenberg JW, Fischer W, Joiner KA.	Infect Immun	10.1128/iai.64.8.3318-3325.1996	1996
Enzymology	Structure and evolution of ribonuclease P RNA in Gram-positive bacteria.	Haas ES, Banta AB, Harris JK, Pace NR, Brown JW.	Nucleic Acids Res	10.1093/nar/24.23.4775	1996
Metabolism	Interactions of human mannose-binding protein with lipoteichoic acids.	Polotsky VY, Fischer W, Ezekowitz RA, Joiner KA.	Infect Immun	10.1128/iai.64.1.380-383.1996	1996
	Evaluation of the oxyrase OxyPlate anaerobe incubation system.	Wiggs LS, Cavallaro JJ, Miller JM.	J Clin Microbiol	10.1128/jcm.38.2.499-507.2000	2000
	Liquid chromatographic procedure for fermentation product analysis in the identification of anaerobic bacteria.	Ehrlich GG, Goerlitz DF, Bourell JH, Eisen GV, Godsy EM.	Appl Environ Microbiol	10.1128/aem.42.5.878-885.1981	1981
Phylogeny	Impact of 16S rRNA gene sequence analysis for identification of bacteria on clinical microbiology and infectious diseases.	Clarridge JE.	Clin Microbiol Rev	10.1128/cmr.17.4.840-862.2004	2004
	PCR primers and probes for the 16S rRNA gene of most species of pathogenic bacteria, including bacteria found in cerebrospinal fluid.	Greisen K, Loeffelholz M, Purohit A, Leong D.	J Clin Microbiol	10.1128/jcm.32.2.335-351.1994	1994
	Compilation of small ribosomal subunit RNA structures.	Neefs JM, Van de Peer Y, De Rijk P, Chapelle S, De Wachter R.	Nucleic Acids Res	10.1093/nar/21.13.3025	1993
	Clostridium innocuum: Microbiological and clinical characteristics of a potential emerging pathogen.	Cherny KE, Muscat EB, Reyna ME, Kociolek LK.	Anaerobe	10.1016/j.anaerobe.2021.102418	2021
Pathogenicity	vanD and vanG-like gene clusters in a Ruminococcus species isolated from human bowel flora.	Domingo MC, Huletsky A, Giroux R, Picard FJ, Bergeron MG.	Antimicrob Agents Chemother	10.1128/aac.00584-07	2007
Biotechnology	Detection of enterotoxigenic Clostridium perfringens in food and fecal samples with a duplex PCR and the slide latex agglutination test.	Fach P, Popoff MR.	Appl Environ Microbiol	10.1128/aem.63.11.4232-4236.1997	1997
	Development of culture methods capable of culturing a wide range of predominant species of intestinal bacteria.	Hirano R, Nishita I, Nakai R, Bito A, Sasabe R, Kurihara S.	Front Cell Infect Microbiol	10.3389/fcimb.2023.1056866	2023
Genetics	Complete Genome Sequence of Clostridium innocuum Strain ATCC 14501.	Cherny KE, Ozer EA, Kochan TJ, Kociolek LK	Microbiol Resour Announc	10.1128/MRA.00452-20	2020
Genetics	Mechanism of intrinsic resistance to vancomycin in Clostridium innocuum NCIB 10674.	David V, Bozdogan B, Mainardi JL, Legrand R, Gutmann L, Leclercq R	J Bacteriol	10.1128/JB.186.11.3415-3422.2004	2004
Pathogenicity	Low-level vancomycin resistance in Clostridium innocuum.	Mory F, Lozniewski A, David V, Carlier JP, Dubreuil L, Leclercq R	J Clin Microbiol	10.1128/JCM.36.6.1767-1768.1998	1998
Phylogeny	Description of a new member of the family Erysipelotrichaceae: Dakotella fusiforme gen. nov., sp. nov., isolated from healthy human feces.	Ghimire S, Wongkuna S, Scaria J	PeerJ	10.7717/peerj.10071	2020
Phylogeny	Description of Absiella argi gen. nov., sp. nov., and transfer of Eubacterium dolichum and Eubacterium tortuosum to the genus Absiella as Absiella dolichum comb. nov. and Absiella tortuosum comb. nov.	Paek J, Shin Y, Kim JS, Kim H, Kook JK, Paek WK, Chang YH	Anaerobe	10.1016/j.anaerobe.2017.07.006	2017

References

#606	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 1286
#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 )
#20218	Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 )
#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) .
#66794	Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#69479	João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta .
#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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Clostridium innocuum (DSM 1286, ATCC 14501, NCIB 10674)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_012317185

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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