Anaerococcus hydrogenalis (DSM 7454, ATCC 49630, JCM 7635)

Name: Anaerococcus hydrogenalis (DSM 7454, ATCC 49630, JCM 7635)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 17970

Type strain

Culture col. no. DSM 7454 ATCC 49630 JCM 7635 GIFU 7662 CIP 107325

NCBI tax ID(s) 561177 33029

Special Collections DSMZ JCM CIP

History <- JCM <- T. Ezaki, GIFU 7662 GIFU 7662. CIP <- 2001, JCM <- T. Ezaki, GIFU: strain 7662

Links

Anaerococcus hydrogenalis DSM 7454 is an anaerobe, Gram-positive, coccus-shaped bacterium that was isolated from human faeces.

Gram-positive coccus-shaped anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 42590

ATCC 49630,JCM 7635,DSM 7454,CIP 107325

@ref 20215

Last LPSN update 2026-02-09 11:22:21

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Tissierellales

Family Peptoniphilaceae

Genus Anaerococcus

Species Anaerococcus hydrogenalis

Full scientific name Anaerococcus hydrogenalis (Ezaki et al. 1990) Ezaki et al. 2001

Synonyms (1)

Peptostreptococcus hydrogenalis

BacDive ID	Other strains from **Anaerococcus hydrogenalis** (2)	Type strain
155856	A. hydrogenalis CCUG 59477
156704	A. hydrogenalis CCUG 64250

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Motility
120001	positive	coccus-shaped

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
3159	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
33768	MEDIUM 137 - for Ruminococcus hansenii and Rarobacter incanus		Distilled water make up to (940.000 ml);Glucose (5.000 g);Yeast extract(10.000 g);Peptone (5.000 g);Resazurin (1.000 mg);Tween 80 (1.000 ml);Tryptone (5.000g);Beef extract (5.000 g);Cysteine hydrochloride (0.500 g);Di Potassium monohydrogenophosphate (2.0
120001	CIP Medium 137	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
3159	positive	growth	37
33768	positive	growth	37
67770	positive	growth	37
120001	positive	growth	37

Physiology and metabolism

Oxygen tolerance

3159

Oxygen toleranceanaerobe

Spore formation

@ref	Spore formation	Confidence
125439		93

Murein

@ref	Murein short key	Type
3159	A11.33	A4alpha L-Lys-D-Glu

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68380	29016 ChEBI	arginine	-	hydrolysis	from API rID32A
68380	16024 ChEBI	D-mannose	+	fermentation	from API rID32A
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
68380	17632 ChEBI	nitrate	-	reduction	from API rID32A
68380	16634 ChEBI	raffinose	-	fermentation	from API rID32A
68380	27897 ChEBI	tryptophan	+	energy source	from API rID32A
68380	16199 ChEBI	urea	-	hydrolysis	from API rID32A

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68380	35581 ChEBI	indole		from API rID32A

Metabolite tests

@ref	Chebi-ID	Metabolite	Indole test
68380	35581 ChEBI	indole	+	from API rID32A

Enzymes

@ref	Value	Activity	Ec
68380	alanine arylamidase	-	3.4.11.2	from API rID32A
68380	alkaline phosphatase	-	3.1.3.1	from API rID32A
68380	alpha-arabinosidase	-	3.2.1.55	from API rID32A
68380	alpha-fucosidase	-	3.2.1.51	from API rID32A
68380	alpha-galactosidase	-	3.2.1.22	from API rID32A
68380	alpha-glucosidase	-	3.2.1.20	from API rID32A
68380	arginine dihydrolase	-	3.5.3.6	from API rID32A
68380	beta-galactosidase	-	3.2.1.23	from API rID32A
68380	beta-Galactosidase 6-phosphate	-		from API rID32A
68380	beta-glucosidase	-	3.2.1.21	from API rID32A
68380	beta-glucuronidase	-	3.2.1.31	from API rID32A
68380	glutamate decarboxylase	-	4.1.1.15	from API rID32A
68380	glutamyl-glutamate arylamidase	-		from API rID32A
68380	glycin arylamidase	-		from API rID32A
68380	histidine arylamidase	-		from API rID32A
68380	L-arginine arylamidase	-		from API rID32A
68380	leucine arylamidase	-	3.4.11.1	from API rID32A
68380	leucyl glycin arylamidase	-	3.4.11.1	from API rID32A
68380	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API rID32A
68380	phenylalanine arylamidase	-		from API rID32A
68380	proline-arylamidase	-	3.4.11.5	from API rID32A
68380	pyrrolidonyl arylamidase	-	3.4.19.3	from API rID32A
68380	serine arylamidase	-		from API rID32A
68380	tryptophan deaminase	+	4.1.99.1	from API rID32A
68380	tyrosine arylamidase	-		from API rID32A
68380	urease	-	3.5.1.5	from API rID32A

API rID32A

@ref	URE	ADH (Arg)	alpha GAL	beta GAL	beta-Galactosidase 6-phosphatebeta GP	alpha GLU	beta GLU	alpha ARA	beta GUR	beta-N-Acetyl-beta-glucosaminidasebeta NAG	MNE	RAF	GDC	alpha FUC	Reduction of nitrateNIT	IND	PAL	L-arginine arylamidaseArgA	ProA	LGA	Phenylalanine arylamidasePheA	Leucine arylamidaseLeuA	PyrA	Tyrosine arylamidaseTyrA	Alanine arylamidaseAlaA	Glycin arylamidaseGlyA	Histidine arylamidaseHisA	Glutamyl-glutamate arylamidaseGGA	Serine arylamidaseSerA
3159	-	-	-	-	-	-	-	-	-	-	+	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

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

Isolation

@ref	Sample type
3159	human faeces
67770	Human feces
120001	Human, Faeces

Taxonmaps

69479

Global distribution of 16S sequence AB538433 (>99% sequence identity) for Anaerococcus hydrogenalis from Microbeatlas

Aquatic Samples	200
Soil Samples	197
Animal Samples	19413
Plant Samples	75
Total Samples	19885

Interaction and safety

Risk assessment

@ref	Pathogenicity human	Biosafety level	Biosafety level comment
3159	yes, in single cases	1	Risk group (German classification) According to TRBA 466
120001		1	Risk group (French classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM17335v1 assembly for Anaerococcus hydrogenalis DSM 7454	contig	GCA_000173355	561177.4	642979323	561177	54.47

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Anaerococcus hydrogenalis gene for 16S ribosomal RNA, partial sequence, isolate: GIFU 7662	D14140	1375	561177
20218	Anaerococcus hydrogenalis gene for 16S ribosomal RNA, partial sequence, strain: JCM 7635	AB538433	1488	33029
124043	Anaerococcus hydrogenalis strain JCM 7635 16S ribosomal RNA gene, partial sequence.	PQ788143	1488	33029

GC content

@ref	GC-content (mol%)	Method
3159	31.0	high performance liquid chromatography (HPLC)
67770	31

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Anaerococcus hydrogenalis DSM 7454
NCBI: GCA_000173355

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	93.00	no
125439	motility	BacteriaNetⓘ	no	55.60	no
125439	gram_stain	BacteriaNetⓘ	positive	66.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	88.00	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Anaerococcus hydrogenalis DSM 7454
PATRIC: 561177.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	81.08	no
125438	anaerobic	anaerobicⓘ	yes	89.35	yes
125438	spore-forming	spore-formingⓘ	no	74.47	no
125438	aerobic	aerobicⓘ	no	99.12	yes
125438	thermophilic	thermophileⓘ	no	94.21	no
125438	flagellated	motile2+ⓘ	no	85.49	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Dietary Methionine Restriction Alleviates Choline-Induced Tri-Methylamine-N-Oxide (TMAO) Elevation by Manipulating Gut Microbiota in Mice.	Lu M, Yang Y, Xu Y, Wang X, Li B, Le G, Xie Y.	Nutrients	10.3390/nu15010206	2023
	Gut Microbiota and Their Metabolites: The Hidden Driver of Diabetic Nephropathy? Unveiling Gut Microbe's Role in DN.	Liu J, Guo M, Yuan X, Fan X, Wang J, Jiao X.	J Diabetes	10.1111/1753-0407.70068	2025
	Exploring Trimethylaminuria: Genetics and Molecular Mechanisms, Epidemiology, and Emerging Therapeutic Strategies.	Sidoti A, D'Angelo R, Castagnetti A, Viciani E, Scimone C, Alibrandi S, Giannini G.	Biology (Basel)	10.3390/biology13120961	2024
	The gene expression and bioinformatic analysis of choline trimethylamine-lyase (CutC) and its activating enzyme (CutD) for gut microbes and comparison with their TMA production levels.	Ramireddy L, Tsen HY, Chiang YC, Hung CY, Chen FC, Yen HT.	Curr Res Microb Sci	10.1016/j.crmicr.2021.100043	2021
Metabolism	Berberine attenuates choline-induced atherosclerosis by inhibiting trimethylamine and trimethylamine-N-oxide production via manipulating the gut microbiome.	Li X, Su C, Jiang Z, Yang Y, Zhang Y, Yang M, Zhang X, Du Y, Zhang J, Wang L, Jiang J, Hong B.	NPJ Biofilms Microbiomes	10.1038/s41522-021-00205-8	2021
Metabolism	Intestinal microbiota composition modulates choline bioavailability from diet and accumulation of the proatherogenic metabolite trimethylamine-N-oxide.	Romano KA, Vivas EI, Amador-Noguez D, Rey FE.	mBio	10.1128/mbio.02481-14	2015
Metabolism	Methodological considerations for the identification of choline and carnitine-degrading bacteria in the gut.	Jameson E, Quareshy M, Chen Y.	Methods	10.1016/j.ymeth.2018.03.012	2018
	Analysis of the mobilization functions of the vancomycin resistance transposon Tn1549, a member of a new family of conjugative elements.	Tsvetkova K, Marvaud JC, Lambert T.	J Bacteriol	10.1128/jb.00680-09	2010
	Diverse CRISPRs evolving in human microbiomes.	Rho M, Wu YW, Tang H, Doak TG, Ye Y.	PLoS Genet	10.1371/journal.pgen.1002441	2012
	Functional Promiscuity of Homologues of the Bacterial ArsA ATPases.	Castillo R, Saier MH.	Int J Microbiol	10.1155/2010/187373	2010
Pathogenicity	In vitro model of colonization resistance by the enteric microbiota: effects of antimicrobial agents used in food-producing animals.	Wagner RD, Johnson SJ, Cerniglia CE.	Antimicrob Agents Chemother	10.1128/aac.00852-07	2008
	Anaerococcus urinimassiliensis sp. nov., a new bacterium isolated from human urine.	Morand A, Tall ML, Kuete Yimagou E, Ngom II, Lo CI, Cornu F, Tsimaratos M, Lagier JC, Levasseur A, Raoult D, Fournier PE.	Sci Rep	10.1038/s41598-021-82420-z	2021
Phylogeny	Characterization of a novel Gram-stain-positive anaerobic coccus isolated from the female genital tract: Genome sequence and description of Murdochiella vaginalis sp. nov.	Diop K, Diop A, Khelaifia S, Robert C, Pinto FD, Delerce J, Raoult D, Fournier PE, Bretelle F, Fenollar F.	Microbiologyopen	10.1002/mbo3.570	2018
Phylogeny	Peptostreptococcus hydrogenalis sp. nov. from human fecal and vaginal flora.	Ezaki T, Liu SL, Hashimoto Y, Yabuuchi E	Int J Syst Bacteriol	10.1099/00207713-40-3-305	1990

References

#3159	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 7454
#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 )
#33768	; Curators of the CIP;
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#68380	Automatically annotated from API rID32A .
#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 .
#120001	Collection of Institut Pasteur ; Curators of the CIP; CIP 107325
#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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Anaerococcus hydrogenalis (DSM 7454, ATCC 49630, JCM 7635)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Murein

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API rID32A

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000173355

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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