Catenibacterium mitsuokai (DSM 15897, CIP 106738, JCM 10609)

Name: Catenibacterium mitsuokai (DSM 15897, CIP 106738, JCM 10609)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 5366

Type strain

Strain Designation RCA14-39

Culture col. no. DSM 15897 CIP 106738 JCM 10609 RCA14-39

NCBI tax ID(s) 451640 100886

Special Collections DSMZ JCM CIP

History <- JCM <- Y. Benno; RCA14-39 Y. Benno RCA14-39. CIP <- 2000, JCM <- Y. Benno RCA14-39

Links

Catenibacterium mitsuokai RCA14-39 is an anaerobe, rod-shaped bacterium that was isolated from human faeces.

rod-shaped anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 88233

JCM 10609,CIP 106738,DSM 15897,CCUG 48821 A,CCUG 48821 B,CCUG 48886

@ref 20215

Last LPSN update 2026-02-09 11:18:56

Domain Bacteria

Phylum Bacillota

Class Erysipelotrichia

Order Erysipelotrichales

Family Coprobacillaceae

Genus Catenibacterium

Species Catenibacterium mitsuokai

Full scientific name Catenibacterium mitsuokai Kageyama and Benno 2000

BacDive ID	Other strains from **Catenibacterium mitsuokai** (6)	Type strain
160997	C. mitsuokai JCM 10606
160998	C. mitsuokai JCM 10607
160999	C. mitsuokai JCM 10608
161000	C. mitsuokai JCM 10610
161001	C. mitsuokai JCM 10611
163978	C. mitsuokai JCM 31250

Morphology

Cell morphology

@ref	Cell shape	Motility
120977	rod-shaped

Colony morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
6175	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
6175	PYG MEDIUM (MODIFIED) (DSMZ Medium 104)		Medium recipe at MediaDive	Name: PYG MEDIUM (modified) (DSMZ Medium 104) Composition: Yeast extract 10.0 g/l Peptone 5.0 g/l Trypticase peptone 5.0 g/l Beef extract 5.0 g/l Glucose 5.0 g/l L-Cysteine HCl x H2O 0.5 g/l NaHCO3 0.4 g/l NaCl 0.08 g/l K2HPO4 0.04 g/l KH2PO4 0.04 g/l MgSO4 x 7 H2O 0.02 g/l CaCl2 x 2 H2O 0.01 g/l Hemin 0.005 g/l Ethanol 0.0038 g/l Resazurin 0.001 g/l Tween 80 Vitamin K1 NaOH Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
6175	positive	growth	37
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
6175	anaerobe
120977	anaerobe
125439	anaerobe	97.6

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
120977	4853 ChEBI	esculin	-	hydrolysis
120977	17632 ChEBI	nitrate	-	reduction
120977	17632 ChEBI	nitrate	+	respiration
120977	16301 ChEBI	nitrite	-	reduction

Metabolite production

@ref	Chebi-ID	Metabolite	Production
120977	35581 ChEBI	indole

Enzymes

@ref	Value	Activity	Ec
120977	amylase	+
120977	beta-galactosidase	-	3.2.1.23
120977	caseinase	-	3.4.21.50
120977	catalase	+	1.11.1.6
120977	DNase	-
120977	gelatinase	-
120977	lecithinase	-
120977	lipase	-
120977	oxidase	-
120977	protease	-
120977	tween esterase	-
120977	urease	-	3.5.1.5

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	-
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent	Isolation date
6175	human faeces	Papua New Guinea	PNG	Australia and Oceania
67770	Papua New Guinea highlanders' faeces
120977	Human, Faeces	Papua New Guinea	PNG	Australia and Oceania	1982

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
6175	1	Risk group (German classification) According to TRBA 466
120977	1	Risk group (French classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score	IMG accession
66792	ASM2514878v1 assembly for Catenibacterium mitsuokai DSM 15897	complete	GCA_025148785	100886.347	100886	99.8
67770	ASM17379v1 assembly for Catenibacterium mitsuokai DSM 15897	contig	GCA_000173795	451640.67	451640		643886110

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Catenibacterium mitsuokai gene for 16S ribosomal RNA, partial sequence	AB910738	1491		451640
6175	Catenibacterium mitsuokai gene for 16S rRNA, strain:JCM 10609	AB030224	1485		451640

GC content

@ref	GC-content (mol%)	Method
6175	36-39
67770	36.6	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Catenibacterium mitsuokai strain DSM 15897
PATRIC: 100886.347

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	97.60	no
125439	gram_stain	BacteriaNetⓘ	variable	72.50	no
125439	motility	BacteriaNetⓘ	yes	71.50	no
125439	spore_formation	BacteriaNetⓘ	yes	69.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Catenibacterium mitsuokai DSM 15897
NCBI: GCA_025148785.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	83.47	no
125438	anaerobic	anaerobicⓘ	yes	87.11	yes
125438	aerobic	aerobicⓘ	no	96.78	yes
125438	spore-forming	spore-formingⓘ	no	74.44	no
125438	thermophilic	thermophileⓘ	no	92.64	yes
125438	flagellated	motile2+ⓘ	no	87.61	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Fecal microbiome composition and diversity of cryopreserved canine stool at different duration and storage conditions.	Barko P, Nguyen-Edquilang J, Williams DA, Gal A.	PLoS One	10.1371/journal.pone.0294730	2024
Metabolism	Targeting Catenibacterium mitsuokai with icariin modulates gut microbiota and improves hepatic lipid metabolism in intrauterine growth restriction.	Wei Y, Mao J, Tang W, Ma Y, Li J, Su S, Ni Z, Wu J, Liu D, Wang H.	ISME J	10.1093/ismejo/wraf141	2025
	The microbiome diversifies long- to short-chain fatty acid-derived N-acyl lipids.	Mannochio-Russo H, Charron-Lamoureux V, van Faassen M, Lamichhane S, Goncalves Nunes WD, Deleray V, Ayala AV, Tanaka Y, Patan A, Vittali K, Rajkumar P, El Abiead Y, Zhao HN, Gomes PWP, Mohanty I, Lee C, Sund A, Sharma M, Liu Y, Pattynama D, Walker GT, Norton GJ, Khatib L, Andalibi MS, Wang CX, Ellis RJ, Moore DJ, Iudicello JE, Franklin D, Letendre S, Chin L, Walker C, Renwick S, Zemlin J, Meehan MJ, Song X, Kasper D, Burcham Z, Kim JJ, Kadakia S, Raffatellu M, Bode L, Chu H, Zengler K, Wang M, Siegel D, Knight R, Dorrestein PC.	Cell	10.1016/j.cell.2025.05.015	2025
	Coarse-grained model of serial dilution dynamics in synthetic human gut microbiome.	Mahajan T, Maslov S.	PLoS Comput Biol	10.1371/journal.pcbi.1013222	2025
Genetics	Phagocytosis of Gut Bacteria by Entamoeba histolytica.	Iyer LR, Verma AK, Paul J, Bhattacharya A.	Front Cell Infect Microbiol	10.3389/fcimb.2019.00034	2019
Metabolism	Indoleacrylic Acid Produced by Commensal Peptostreptococcus Species Suppresses Inflammation.	Wlodarska M, Luo C, Kolde R, d'Hennezel E, Annand JW, Heim CE, Krastel P, Schmitt EK, Omar AS, Creasey EA, Garner AL, Mohammadi S, O'Connell DJ, Abubucker S, Arthur TD, Franzosa EA, Huttenhower C, Murphy LO, Haiser HJ, Vlamakis H, Porter JA, Xavier RJ.	Cell Host Microbe	10.1016/j.chom.2017.06.007	2017
Pathogenicity	Microbiota-derived bile acids antagonize the host androgen receptor and drive anti-tumor immunity.	Jin WB, Xiao L, Jeong M, Han SJ, Zhang W, Yano H, Shi H, Arifuzzaman M, Lyu M, Wang D, Tang YA, Qiao S, JRI IBD Live Cell Bank Consortium, Yang X, Yang HS, Fu J, Sonnenberg GF, Collins N, Artis D, Guo CJ.	Cell	10.1016/j.cell.2025.02.029	2025
Genetics	Insights Into the Resistome of Bovine Clinical Mastitis Microbiome, a Key Factor in Disease Complication.	Hoque MN, Istiaq A, Clement RA, Gibson KM, Saha O, Islam OK, Abir RA, Sultana M, Siddiki AZ, Crandall KA, Hossain MA.	Front Microbiol	10.3389/fmicb.2020.00860	2020
Metabolism	Strain dropouts reveal interactions that govern the metabolic output of the gut microbiome.	Wang M, Osborn LJ, Jain S, Meng X, Weakley A, Yan J, Massey WJ, Varadharajan V, Horak A, Banerjee R, Allende DS, Chan ER, Hajjar AM, Wang Z, Dimas A, Zhao A, Nagashima K, Cheng AG, Higginbottom S, Hazen SL, Brown JM, Fischbach MA.	Cell	10.1016/j.cell.2023.05.037	2023
	Functional Comparison of Bacteria from the Human Gut and Closely Related Non-Gut Bacteria Reveals the Importance of Conjugation and a Paucity of Motility and Chemotaxis Functions in the Gut Environment.	Dobrijevic D, Abraham AL, Jamet A, Maguin E, van de Guchte M.	PLoS One	10.1371/journal.pone.0159030	2016
	Design, construction, and in vivo augmentation of a complex gut microbiome.	Cheng AG, Ho PY, Aranda-Diaz A, Jain S, Yu FB, Meng X, Wang M, Iakiviak M, Nagashima K, Zhao A, Murugkar P, Patil A, Atabakhsh K, Weakley A, Yan J, Brumbaugh AR, Higginbottom S, Dimas A, Shiver AL, Deutschbauer A, Neff N, Sonnenburg JL, Huang KC, Fischbach MA.	Cell	10.1016/j.cell.2022.08.003	2022
Phylogeny	Bacterial and archaeal communities in Lake Nyos (Cameroon, Central Africa).	Tiodjio RE, Sakatoku A, Nakamura A, Tanaka D, Fantong WY, Tchakam KB, Tanyileke G, Ohba T, Hell VJ, Kusakabe M, Nakamura S, Ueda A.	Sci Rep	10.1038/srep06151	2014
Phylogeny	Rise of Microbial Culturomics: Noncontiguous Finished Genome Sequence and Description of Beduini massiliensis gen. nov., sp. nov.	Mourembou G, Yasir M, Azhar EI, Lagier JC, Bibi F, Jiman-Fatani AA, Helmy N, Robert C, Rathored J, Fournier PE, Raoult D, Million M.	OMICS	10.1089/omi.2015.0143	2015
Genetics	Non contiguous-finished genome sequence and description of Dielma fastidiosa gen. nov., sp. nov., a new member of the Family Erysipelotrichaceae.	Ramasamy D, Lagier JC, Nguyen TT, Raoult D, Fournier PE.	Stand Genomic Sci	10.4056/sigs.3567059	2013
	Colletotrichum shisoi sp. nov., an anthracnose pathogen of Perilla frutescens in Japan: molecular phylogenetic, morphological and genomic evidence.	Gan P, Tsushima A, Hiroyama R, Narusaka M, Takano Y, Narusaka Y, Kawaradani M, Damm U, Shirasu K.	Sci Rep	10.1038/s41598-019-50076-5	2019
Phylogeny	Catenibacterium mitsuokai gen. nov., sp. nov., a gram-positive anaerobic bacterium isolated from human faeces.	Kageyama A, Benno Y	Int J Syst Evol Microbiol	10.1099/00207713-50-4-1595	2000

References

#6175	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 15897
#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;
#120977	Collection of Institut Pasteur ; Curators of the CIP; CIP 106738
#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 )

Rate our new design

Content

About us

Catenibacterium mitsuokai (DSM 15897, CIP 106738, JCM 10609)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Metabolite utilization

Metabolite production

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_025148785

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media