Metaclostridioides mangenotii (DSM 1289, ATCC 25761, JCM 1428)

Name: Metaclostridioides mangenotii (DSM 1289, ATCC 25761, JCM 1428)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 2618

Type strain

Strain Designation A33N

Culture col. no. DSM 1289 ATCC 25761 JCM 1428 NCIMB 10639 VPI 4622 2 more

NCBI tax ID(s) 1540

Special Collections DSMZ JCM

History <- ATCC; ATCC 25761 (Clostridium mangenotii) <- L. DS. Smith, Virginia Polytechnical Institute and State University (VPI), Blacksburg, V., USA; VPI 4622 <- A. R. Prevot, Institut Pasteur, Paris, France; A33N ATCC 25761 <-- L. DS. Smith VPI 4622 <-- A. Prévot A33N.

Links

Metaclostridioides mangenotii A33N is an anaerobe, mesophilic prokaryote that was isolated from soil.

anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 38659

ATCC 25761,DSM 1289,NCIB 10639,JCM 1428,CCRC 14479,NCIMB 10639,BCRC 14479

@ref 20215

Last LPSN update 2025-12-16 09:47:21

Domain Bacillati

Phylum Bacillota

Class Clostridia

Order Peptostreptococcales

Family Peptostreptococcaceae

Genus Metaclostridioides

Species Metaclostridioides mangenotii

Full scientific name Metaclostridioides mangenotii (Prévot and Zimmès-Chaverou 1947) Bello et al. 2024

Synonyms (3)

Clostridioides mangenotii
"Inflabilis mangenoti"
Clostridium mangenotii

BacDive ID	Other strains from **Metaclostridioides mangenotii** (1)	Type strain
176863	M. mangenotii LM2, DSM 120816

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
609	CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110)		Medium recipe at MediaDive	Name: CHOPPED MEAT MEDIUM WITH CARBOHYDRATES (DSMZ Medium 110) Composition: Ground beef 500.0 g/l Casitone 30.0 g/l Agar 15.0 g/l K2HPO4 5.0 g/l Yeast extract 5.0 g/l D-Glucose 4.0 g/l Starch 1.0 g/l Maltose 1.0 g/l Cellobiose 1.0 g/l L-Cysteine HCl 0.5 g/l Ethanol 0.19 g/l Vitamin K3 0.05 g/l Hemin 0.005 g/l Sodium resazurin 0.0005 g/l Vitamin K1 NaOH Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
609	positive	growth	26	mesophilic
67770	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

609

Oxygen toleranceanaerobe

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Terrestrial	#Soil

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
609	soil	Côte d'Ivoire	CIV	Africa
67770	African soil

Taxonmaps

69479

Global distribution of 16S sequence LC007110 (>99% sequence identity) for Clostridioides mangenotii subclade from Microbeatlas

Aquatic Samples	1722
Soil Samples	5343
Animal Samples	14515
Plant Samples	1070
Total Samples	22650

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
609	1	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	ASM1787318v1 assembly for Metaclostridioides mangenotii DSM 1289	contig	GCA_017873185	1540.3	2913326743	1540	73.94

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Clostridium mangenotii 16S ribosomal RNA	M59098	1450	1540
609	Clostridium mangenotii partial 16S rRNA gene, type strain DSM1289T	FR733662	1493	1540
67770	[Clostridium] mangenotii gene for 16S ribosomal RNA, partial sequence, strain: JCM 1428	LC007110	1465	1540

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Clostridioides mangenotii DSM 1289
NCBI: GCA_017873185

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	73.50	no
125439	motility	BacteriaNetⓘ	yes	77.60	no
125439	gram_stain	BacteriaNetⓘ	positive	67.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	86.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Clostridioides mangenotii strain DSM 1289
PATRIC: 1540.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	69.27	no
125438	anaerobic	anaerobicⓘ	yes	85.55	no
125438	spore-forming	spore-formingⓘ	yes	67.57	no
125438	aerobic	aerobicⓘ	no	94.76	no
125438	thermophilic	thermophileⓘ	no	89.82	yes
125438	flagellated	motile2+ⓘ	no	52.61	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	An update on novel taxa and revised taxonomic status of bacteria isolated from human clinical specimens described in 2024.	Carella A, Carroll KC, Munson E.	J Clin Microbiol	10.1128/jcm.01068-25	2025
	Robust demarcation of the family Peptostreptococcaceae and its main genera based on phylogenomic studies and taxon-specific molecular markers.	Bello S, McQuay S, Rudra B, Gupta RS.	Int J Syst Evol Microbiol	10.1099/ijsem.0.006247	2024
	parafac4microbiome: exploratory analysis of longitudinal microbiome data using parallel factor analysis.	van der Ploeg GR, Westerhuis JA, Heintz-Buschart A, Smilde AK.	mSystems	10.1128/msystems.00472-25	2025
	Turning trash into treasure: Hermetia illucens microbiome and biodegradation of industrial side streams.	Kluber P, Gurusinga FF, Hurka S, Vilcinskas A, Tegtmeier D.	Appl Environ Microbiol	10.1128/aem.00991-24	2024
	Dynamic Associations of Milk Components With the Infant Gut Microbiome and Fecal Metabolites in a Mother-Infant Model by Microbiome, NMR Metabolomic, and Time-Series Clustering Analyses.	Komatsu Y, Kumakura D, Seto N, Izumi H, Takeda Y, Ohnishi Y, Nakaoka S, Aizawa T.	Front Nutr	10.3389/fnut.2021.813690	2021
Genetics	Multi-omics surveillance of antimicrobial resistance in the pig gut microbiome.	Guitart-Matas J, Vera-Ponce de Leon A, Pope PB, Hvidsten TR, Fraile L, Ballester M, Ramayo-Caldas Y, Migura-Garcia L.	Anim Microbiome	10.1186/s42523-025-00418-8	2025
Phylogeny	Reclassification of Clostridium difficile as Clostridioides difficile (Hall and O'Toole 1935) Prévot 1938.	Lawson PA, Citron DM, Tyrrell KL, Finegold SM.	Anaerobe	10.1016/j.anaerobe.2016.06.008	2016
	Exploring the Linkage Between Ruminal Microbial Communities on Postweaning and Finishing Diets and Their Relation to Residual Feed Intake in Beef Cattle.	Peraza P, Fernandez-Calero T, Naya H, Sotelo-Silveira J, Navajas EA.	Microorganisms	10.3390/microorganisms12122437	2024
Phylogeny	Phylogenetic Analysis of the Genes in D-Ala-D-Lactate Synthesizing Glycopeptide Resistance Operons: The Different Origins of Functional and Regulatory Genes.	Kardos G, Laczko L, Kaszab E, Timmer B, Szarka K, Prepost E, Banyai K.	Antibiotics (Basel)	10.3390/antibiotics13070573	2024
	Yeast mannan rich fraction positively influences microbiome uniformity, productivity associated taxa, and lay performance.	Leigh RJ, Corrigan A, Murphy RA, Taylor-Pickard J, Moran CA, Walsh F.	Anim Microbiome	10.1186/s42523-024-00295-7	2024
	Single phage proteins sequester signals from TIR and cGAS-like enzymes.	Li D, Xiao Y, Fedorova I, Xiong W, Wang Y, Liu X, Huiting E, Ren J, Gao Z, Zhao X, Cao X, Zhang Y, Bondy-Denomy J, Feng Y.	Nature	10.1038/s41586-024-08122-4	2024
Genetics	Major genetic discontinuity and novel toxigenic species in Clostridioides difficile taxonomy.	Knight DR, Imwattana K, Kullin B, Guerrero-Araya E, Paredes-Sabja D, Didelot X, Dingle KE, Eyre DW, Rodriguez C, Riley TV.	Elife	10.7554/elife.64325	2021
Metabolism	Can rumen bacteria communicate to each other?	Won MY, Oyama LB, Courtney SJ, Creevey CJ, Huws SA.	Microbiome	10.1186/s40168-020-00796-y	2020
Phylogeny	An Update on the Novel Genera and Species and Revised Taxonomic Status of Bacterial Organisms Described in 2016 and 2017.	Munson E, Carroll KC.	J Clin Microbiol	10.1128/jcm.01181-18	2019
Enzymology	Clostridium difficile Lipoprotein GerS Is Required for Cortex Modification and Thus Spore Germination.	Diaz OR, Sayer CV, Popham DL, Shen A.	mSphere	10.1128/msphere.00205-18	2018
Genetics	Genome-Based Comparison of Clostridioides difficile: Average Amino Acid Identity Analysis of Core Genomes.	Cabal A, Jun SR, Jenjaroenpun P, Wanchai V, Nookaew I, Wongsurawat T, Burgess MJ, Kothari A, Wassenaar TM, Ussery DW.	Microb Ecol	10.1007/s00248-018-1155-7	2018
Metabolism	The Clostridioides difficile Cysteine-Rich Exosporium Morphogenetic Protein, CdeC, Exhibits Self-Assembly Properties That Lead to Organized Inclusion Bodies in Escherichia coli.	Romero-Rodriguez A, Troncoso-Cotal S, Guerrero-Araya E, Paredes-Sabja D.	mSphere	10.1128/msphere.01065-20	2020
Metabolism	Clostridium difficile exosporium cysteine-rich proteins are essential for the morphogenesis of the exosporium layer, spore resistance, and affect C. difficile pathogenesis.	Calderon-Romero P, Castro-Cordova P, Reyes-Ramirez R, Milano-Cespedes M, Guerrero-Araya E, Pizarro-Guajardo M, Olguin-Araneda V, Gil F, Paredes-Sabja D.	PLoS Pathog	10.1371/journal.ppat.1007199	2018

References

#609	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 1289
#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) .
#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 .
#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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Metaclostridioides mangenotii (DSM 1289, ATCC 25761, JCM 1428)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_017873185

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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