Hydrogeniiclostridium mannosilyticum (VKM B-3268, JCM 33295)

Name: Hydrogeniiclostridium mannosilyticum (VKM B-3268, JCM 33295)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164506

Type strain

Culture col. no. VKM B-3268 JCM 33295

NCBI tax ID(s) 2764322

Special Collections JCM

History JCM <-- V. Shcherbakova; VKM, Russia; ASD2818.

Links

Hydrogeniiclostridium mannosilyticum JCM 33295 is a bacterium that was isolated from Feces from a healthy 3-year-old boy living in Moscow.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 27922

JCM 33295,VKM B-3268

@ref 20215

Last LPSN update 2026-05-29 08:45:25

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Oscillospiraceae

Genus Hydrogeniiclostridium

Species Hydrogeniiclostridium mannosilyticum

Full scientific name Hydrogeniiclostridium mannosilyticum corrig. Chaplin et al. 2020

Synonyms (1)

Hydrogeniiclostidium mannosilyticum

Morphology

Culture and growth conditions

Culture temp

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

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	anaerobe	95.34

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species
67770	Feces from a healthy 3-year-old boy living in Moscow	Homo sapiens

Taxonmaps

69479

Global distribution of 16S sequence MH043116 (>99% sequence identity) for Hydrogeniiclostidium mannosilyticum subclade from Microbeatlas

Aquatic Samples	167
Soil Samples	13
Animal Samples	7146
Plant Samples	3
Total Samples	7329

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM326827v1 assembly for Hydrogeniiclostridium mannosilyticum ASD2818	contig	GCA_003268275	1898205.8	2964329828	2764322	65.93

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Hydrogeniiclostridium mannosilyticum strain ASD2818 16S ribosomal RNA gene, partial sequence	MH043116	1536		2764322

GC content

@ref	GC-content (mol%)	Method
67770	52.3	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM326827v1 assembly for Hydrogeniiclostridium mannosilyticum ASD2818
NCBI: GCA_003268275

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	95.34	no
125439	gram_stain	BacteriaNetⓘ	negative	72.38	no
125439	spore_formation	BacteriaNetⓘ	yes	39.76	no
125439	motility	BacteriaNetⓘ	no	62.17	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Hydrogeniiclostridium mannosilyticum ASD2818
NCBI: GCA_003268275.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	71.68	no
125438	anaerobic	anaerobicⓘ	yes	86.32	no
125438	aerobic	aerobicⓘ	no	94.01	no
125438	spore-forming	spore-formingⓘ	no	64.97	no
125438	thermophilic	thermophileⓘ	no	94.91	yes
125438	flagellated	motile2+ⓘ	no	82.67	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Association of gut microbiota and immune gene expression with response to targeted therapy in BRAF mutated melanoma.	Guardamagna M, Berciano-Guerrero MA, Lavado-Valenzuela R, Auclin E, Onieva-Zafra JL, Plaza-Andrades I, Oliver J, Garrido-Aranda A, Perez-Ruiz E, Alvarez M, Ocana MC, Queipo-Ortuno MI, Barragan I, Rueda-Dominguez A.	Sci Rep	10.1038/s41598-025-11054-2	2025
	Longitudinal gut microbiome changes in immune checkpoint blockade-treated advanced melanoma.	Bjork JR, Bolte LA, Maltez Thomas A, Lee KA, Rossi N, Wind TT, Smit LM, Armanini F, Asnicar F, Blanco-Miguez A, Board R, Calbet-Llopart N, Derosa L, Dhomen N, Brooks K, Harland M, Harries M, Lorigan P, Manghi P, Marais R, Newton-Bishop J, Nezi L, Pinto F, Potrony M, Puig S, Serra-Bellver P, Shaw HM, Tamburini S, Valpione S, Waldron L, Zitvogel L, Zolfo M, de Vries EGE, Nathan P, Fehrmann RSN, Spector TD, Bataille V, Segata N, Hospers GAP, Weersma RK.	Nat Med	10.1038/s41591-024-02803-3	2024
Phylogeny	Hydrogeniiclostidium mannosilyticum gen. nov., sp. nov. isolated from human faeces.	Chaplin AV, Sokolova SR, Shcherbakova VA, Suzina NE, Kochetkova TO, Goltsov AY, Trofimov DY, Efimov BA	Int J Syst Evol Microbiol	10.1099/ijsem.0.003900	2020

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;
#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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Hydrogeniiclostridium mannosilyticum (VKM B-3268, JCM 33295)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_003268275

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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