Dialister micraerophilus (DSM 19965, CCUG 48837, CIP 108278)

Name: Dialister micraerophilus (DSM 19965, CCUG 48837, CIP 108278)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 17123

Type strain

Culture col. no. DSM 19965 CCUG 48837 CIP 108278 ADV 04.01 AIP 25.04 3 more

NCBI tax ID(s) 888062 309120

Special Collections DSMZ CCUG JCM CIP Literature strains

History DSMZ <- CCUG; CCUG 48837 <- CIP; CIP 108278 <- J.-P. Carlier; AIP 25.04 <- H. Marchandin; ADV 04.01 JCM <-- CCUG 48837 <-- CIP 108278 <-- J. P. Carlier AIP 25.04 <-- H. Marchandin ADV 04.01. CIP <- 2004, J.P. Carlier, Inst. Pasteur, Paris, France: strain AIP 25-04 <- H. Marchandin, Montpellier Hosp., Montpellier: strain ADV 04-01

Links

Dialister micraerophilus DSM 19965 is an anaerobe, Gram-negative, ovoid-shaped bacterium that was isolated from human amniotic fluid.

Gram-negative ovoid-shaped anaerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 214948

CCUG 48837,CIP 108278,DSM 19965,JCM 17567

@ref 20215

Last LPSN update 2026-05-29 08:28:56

Domain Bacteria

Phylum Bacillota

Class Negativicutes

Order Veillonellales

Family Veillonellaceae

Genus Dialister

Species Dialister micraerophilus

Full scientific name Dialister micraerophilus Jumas-Bilak et al. 2005

BacDive ID	Other strains from **Dialister micraerophilus** (7)	Type strain
155715	D. micraerophilus CCUG 59121
155779	D. micraerophilus CCUG 59289
155869	D. micraerophilus CCUG 59490
155873	D. micraerophilus CCUG 59494
156239	D. micraerophilus CCUG 60835
156778	D. micraerophilus CCUG 65101
156808	D. micraerophilus CCUG 65520 Q

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
31511	negative	0.45 µm	0.3 µm	ovoid-shaped
125438					92.75
120945	negative			rod-shaped

Colony morphology

@ref	Incubation period	Hemolysis ability
58352	2-3 days
120945		0

Pigmentation

31511

Productionno

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
8410	COLUMBIA BLOOD MEDIUM (DSMZ Medium 693)	Medium recipe at MediaDive	Name: COLUMBIA BLOOD MEDIUM (DSMZ Medium 693) Composition: Defibrinated sheep blood 50.0 g/l Columbia agar base
8410	DIALISTER MEDIUM (DSMZ Medium 1107)	Medium recipe at MediaDive	Name: DIALISTER MEDIUM (DSMZ Medium 1107) Composition: Trypticase 14.1667 g/l KNO3 2.5 g/l NaCl 2.5 g/l Yeast extract 2.5 g/l Ethanol 0.0791667 g/l Na-L-lactate 0.05 g/l Glucose 0.04 g/l Na-fumarate 0.03 g/l Na-formate 0.03 g/l NaHCO3 0.01 g/l Cystein-HCl x 2 H2O 0.0025 g/l DTT 0.000771255 g/l Vitamin K1 Horse blood Haemin Distilled water
8410	FASTIDIOUS ANAEROBE AGAR (DSMZ Medium 1203)	Medium recipe at MediaDive	Name: FASTIDIOUS ANAEROBE AGAR (DSMZ Medium 1203) Composition: Horse blood 100.0 g/l Fastidious Anaerobe Agar 45.7 g/l Deionized water
38266	MEDIUM 20 - for Anaerobic bacteria		Agar (15.000 g);Glucose (5.000 g);Yeast extract (20.000 g);Tryptone (30.000 g);Cysteine hydrochloride (0.500 g);distilled water (1000.000 ml);Hemin solution -M00149 (25.000 ml)
120945	CIP Medium 20	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
8410	positive	growth	37
38266	positive	growth	37
58352	positive	growth	37
67770	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
8410	anaerobe
31511	anaerobe
58352	anaerobe
125439	obligate anaerobe	98.613

Spore formation

31511

Spore formationno

Observation

31511

Observationaggregates in clumps

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
31511	29016 ChEBI	arginine	+	carbon source
68380	29016 ChEBI	arginine	+	hydrolysis	from API rID32A
120945	17057 ChEBI	cellobiose	-	degradation
120945	17108 ChEBI	D-arabinose	-	degradation
120945	15824 ChEBI	D-fructose	-	degradation
120945	17634 ChEBI	D-glucose	-	degradation
68380	16024 ChEBI	D-mannose	-	fermentation	from API rID32A
120945	65327 ChEBI	D-xylose	-	degradation
120945	4853 ChEBI	esculin	-	hydrolysis
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
120945	17716 ChEBI	lactose	-	degradation
120945	17306 ChEBI	maltose	-	degradation
120945	17632 ChEBI	nitrate	-	reduction
68380	17632 ChEBI	nitrate	-	reduction	from API rID32A
120945	16301 ChEBI	nitrite	-	reduction
31511	28044 ChEBI	phenylalanine	+	carbon source
68380	16634 ChEBI	raffinose	-	fermentation	from API rID32A
120945	17814 ChEBI	salicin	-	degradation
31511	17822 ChEBI	serine	+	carbon source
120945	17992 ChEBI	sucrose	-	degradation
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
120945	35581 ChEBI	indole

Metabolite tests

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

Enzymes

@ref	Value	Activity	Ec
68382	acid phosphatase	+	3.1.3.2	from API zym
68380	alanine arylamidase	-	3.4.11.2	from API rID32A
68382	alkaline phosphatase	-	3.1.3.1	from API zym
68380	alkaline phosphatase	-	3.1.3.1	from API rID32A
68380	alpha-arabinosidase	-	3.2.1.55	from API rID32A
68382	alpha-chymotrypsin	-	3.4.21.1	from API zym
68382	alpha-fucosidase	-	3.2.1.51	from API zym
68380	alpha-fucosidase	-	3.2.1.51	from API rID32A
68382	alpha-galactosidase	-	3.2.1.22	from API zym
68380	alpha-galactosidase	-	3.2.1.22	from API rID32A
68382	alpha-glucosidase	-	3.2.1.20	from API zym
68380	alpha-glucosidase	-	3.2.1.20	from API rID32A
68382	alpha-mannosidase	-	3.2.1.24	from API zym
68380	arginine dihydrolase	+	3.5.3.6	from API rID32A
68382	beta-galactosidase	-	3.2.1.23	from API zym
120945	beta-galactosidase	-	3.2.1.23
68380	beta-galactosidase	-	3.2.1.23	from API rID32A
68380	beta-Galactosidase 6-phosphate	-		from API rID32A
68382	beta-glucosidase	-	3.2.1.21	from API zym
68380	beta-glucosidase	-	3.2.1.21	from API rID32A
68382	beta-glucuronidase	+	3.2.1.31	from API zym
68380	beta-glucuronidase	-	3.2.1.31	from API rID32A
120945	catalase	-	1.11.1.6
68382	cystine arylamidase	-	3.4.11.3	from API zym
68382	esterase (C 4)	+		from API zym
68382	esterase lipase (C 8)	-		from API zym
120945	gelatinase	-
68380	glutamate decarboxylase	-	4.1.1.15	from API rID32A
68380	glutamyl-glutamate arylamidase	-		from API rID32A
68382	leucine arylamidase	-	3.4.11.1	from API zym
68380	leucyl glycin arylamidase	-	3.4.11.1	from API rID32A
68382	lipase (C 14)	-		from API zym
68382	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API zym
68380	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API rID32A
68382	naphthol-AS-BI-phosphohydrolase	-		from API zym
120945	oxidase	-
68380	pyrrolidonyl arylamidase	-	3.4.19.3	from API rID32A
68382	trypsin	-	3.4.21.4	from API zym
68380	tryptophan deaminase	-	4.1.99.1	from API rID32A
68380	tyrosine arylamidase	+		from API rID32A
120945	urease	-	3.5.1.5
68380	urease	-	3.5.1.5	from API rID32A
68382	valine arylamidase	-		from API zym

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	ppGpp biosynthesis	100	4 of 4
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	sulfopterin metabolism	100	4 of 4
66794	folate polyglutamylation	100	1 of 1
66794	coenzyme A metabolism	100	4 of 4
66794	formaldehyde oxidation	100	3 of 3
66794	lipid A biosynthesis	88.89	8 of 9
66794	palmitate biosynthesis	86.36	19 of 22
66794	peptidoglycan biosynthesis	80	12 of 15
66794	photosynthesis	78.57	11 of 14
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	acetate fermentation	75	3 of 4
66794	CMP-KDO biosynthesis	75	3 of 4
66794	flavin biosynthesis	73.33	11 of 15
66794	pentose phosphate pathway	72.73	8 of 11
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	tetrahydrofolate metabolism	71.43	10 of 14
66794	vitamin B1 metabolism	69.23	9 of 13
66794	phenylalanine metabolism	69.23	9 of 13
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	acetoin degradation	66.67	2 of 3
66794	aspartate and asparagine metabolism	66.67	6 of 9
66794	serine metabolism	66.67	6 of 9
66794	NAD metabolism	61.11	11 of 18
66794	factor 420 biosynthesis	60	3 of 5
66794	pyrimidine metabolism	60	27 of 45
66794	glycine betaine biosynthesis	60	3 of 5
66794	purine metabolism	59.57	56 of 94
66794	methionine metabolism	57.69	15 of 26
66794	propanol degradation	57.14	4 of 7
66794	CO2 fixation in Crenarchaeota	55.56	5 of 9
66794	cis-vaccenate biosynthesis	50	1 of 2
66794	gluconeogenesis	50	4 of 8
66794	suberin monomers biosynthesis	50	1 of 2
66794	ethanol fermentation	50	1 of 2
66794	adipate degradation	50	1 of 2
66794	C4 and CAM-carbon fixation	50	4 of 8
66794	ketogluconate metabolism	50	4 of 8
66794	glutamate and glutamine metabolism	50	14 of 28
66794	phenylmercury acetate degradation	50	1 of 2
66794	oxidative phosphorylation	48.35	44 of 91
66794	leucine metabolism	46.15	6 of 13
66794	proline metabolism	45.45	5 of 11
66794	alanine metabolism	44.83	13 of 29
66794	non-pathway related	44.74	17 of 38
66794	chorismate metabolism	44.44	4 of 9
66794	valine metabolism	44.44	4 of 9
66794	ubiquinone biosynthesis	42.86	3 of 7
66794	tyrosine metabolism	42.86	6 of 14
66794	reductive acetyl coenzyme A pathway	42.86	3 of 7
66794	isoprenoid biosynthesis	42.31	11 of 26
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	glycolysis	41.18	7 of 17
66794	Entner Doudoroff pathway	40	4 of 10
66794	glycine metabolism	40	4 of 10
66794	threonine metabolism	40	4 of 10
66794	cysteine metabolism	38.89	7 of 18
66794	phenylpropanoid biosynthesis	38.46	5 of 13
66794	lysine metabolism	38.1	16 of 42
66794	degradation of sugar alcohols	37.5	6 of 16
66794	vitamin B6 metabolism	36.36	4 of 11
66794	histidine metabolism	34.48	10 of 29
66794	tryptophan metabolism	34.21	13 of 38
66794	molybdenum cofactor biosynthesis	33.33	3 of 9
66794	enterobactin biosynthesis	33.33	1 of 3
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	IAA biosynthesis	33.33	1 of 3
66794	octane oxidation	33.33	1 of 3
66794	lipid metabolism	32.26	10 of 31
66794	polyamine pathway	30.43	7 of 23
66794	propionate fermentation	30	3 of 10
66794	arginine metabolism	29.17	7 of 24
66794	degradation of pentoses	28.57	8 of 28
66794	lactate fermentation	25	1 of 4
66794	isoleucine metabolism	25	2 of 8
66794	cyclohexanol degradation	25	1 of 4
66794	catecholamine biosynthesis	25	1 of 4
66794	glycogen biosynthesis	25	1 of 4
66794	butanoate fermentation	25	1 of 4
66794	phosphatidylethanolamine bioynthesis	23.08	3 of 13
66794	ascorbate metabolism	22.73	5 of 22
66794	degradation of hexoses	22.22	4 of 18
66794	d-mannose degradation	22.22	2 of 9
66794	citric acid cycle	21.43	3 of 14
66794	glutathione metabolism	21.43	3 of 14

API zym

@ref	Control	Alkaline phosphatase	Esterase (C 4)	2-naphtyl caprylateEsterase Lipase (C 8)	Lipase (C 14)	L-leucyl-2-naphthylamideLeucine arylamidase	L-valyl-2-naphthylamideValine arylamidase	L-cystyl-2-naphthylamideCystine arylamidase	Trypsin	alpha- Chymotrypsin	Acid phosphatase	Naphthol-AS-BI-phosphateNaphthol-AS-BI-phosphohydrolase	alpha- Galactosidase	beta- Galactosidase	beta- Glucuronidase	alpha- Glucosidase	beta- Glucosidase	N-acetyl-beta- glucosaminidase	alpha- Mannosidase	alpha- Fucosidase
120945	-	-	+	-	-	-	-	-	-	-	+	-	-	-	+	-	-	-	-	-

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
8410	-	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+	-	-	+	+	-	+	-	-	+	-	+
8410	-	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+/-	+	-	+/-	+/-	-	+	-	+/-	+/-	-	+/-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body Product	#Urogenital tract	#Amniotic fluid
#Host	#Human	#Female

Isolation

@ref	Sample type	Host species	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent	Isolation date
8410	human amniotic fluid	Homo sapiens			France	FRA	Europe
58352	Human amniotic fluid,38-yr-old woman	Homo sapiens	2001	Montpellier	France	FRA	Europe
67770	Human clinical sample (amniotic fluid)	Homo sapiens
120945	Amniotic liquid			Montpellier	France	FRA	Europe	2001

Taxonmaps

69479

Global distribution of 16S sequence AF473837 (>99% sequence identity) for Dialister micraerophilus subclade from Microbeatlas

Aquatic Samples	251
Soil Samples	431
Animal Samples	25214
Plant Samples	40
Total Samples	25936

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
8410	2	Risk group (German classification) According to TRBA 466
120945	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	ASM19498v1 assembly for Dialister micraerophilus DSM 19965	scaffold	GCA_000194985	888062.3	651324025	888062	71.1

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
8410	Dialister micraerophilus strain ADV 04.01 16S ribosomal RNA gene, partial sequence	AF473837	1440		888062
67770	Dialister micraerophilus gene for 16S ribosomal RNA, partial sequence	AB626633	1528		309120

GC content

@ref	GC-content (mol%)	Method
8410	36.3	high performance liquid chromatography (HPLC)
31511	36.3
67770	35.4	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM19498v1 assembly for Dialister micraerophilus DSM 19965
NCBI: GCA_000194985

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	98.61	no
125439	gram_stain	BacteriaNetⓘ	variable	54.89	no
125439	motility	BacteriaNetⓘ	no	84.41	no
125439	spore_formation	BacteriaNetⓘ	no	88.43	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Dialister micraerophilus DSM 19965
PATRIC: 888062.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	86.70	yes
125438	anaerobic	anaerobicⓘ	yes	81.63	yes
125438	aerobic	aerobicⓘ	no	97.85	yes
125438	spore-forming	spore-formingⓘ	no	88.54	yes
125438	thermophilic	thermophileⓘ	no	91.60	no
125438	flagellated	motile2+ⓘ	no	92.75	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	A case of bacteremia caused by Dialister micraerophilus with Enterocloster clostridioformis and Eggerthella lenta in a patient with pyometra.	Kitagawa H, Tadera K, Omori K, Nomura T, Shigemoto N, Ohge H.	BMC Infect Dis	10.1186/s12879-024-08999-6	2024
	CMG-biotools, a free workbench for basic comparative microbial genomics.	Vesth T, Lagesen K, Acar O, Ussery D.	PLoS One	10.1371/journal.pone.0060120	2013
	Veillonella, Firmicutes: Microbes disguised as Gram negatives.	Vesth T, Ozen A, Andersen SC, Kaas RS, Lukjancenko O, Bohlin J, Nookaew I, Wassenaar TM, Ussery DW.	Stand Genomic Sci	10.4056/sigs.2981345	2013
	Vaginal biogenic amines: biomarkers of bacterial vaginosis or precursors to vaginal dysbiosis?	Nelson TM, Borgogna JL, Brotman RM, Ravel J, Walk ST, Yeoman CJ.	Front Physiol	10.3389/fphys.2015.00253	2015
	Submandibular gland abscess and bacteremia caused by Dialister micraerophilus in a patient with Sjögren's syndrome: a case report.	Ye T, Lu B, Wang S, Jin L, Pan X.	BMC Infect Dis	10.1186/s12879-025-11563-5	2025
	Cervicovaginal Secretions in Young Women with Bacterial Vaginosis Enhance HIV Infection.	Keller MJ, Wang T, Murphy K, Serrano MG, Kandalaft W, Michael I, Decety G, McWalters J, Buck GA, Kelly L, Herold BC.	J Infect Dis	10.1093/infdis/jiaf444	2025
Pathogenicity	Real-time PCR assay design and validation for Prevotella bivia, Peptostreptococcus anaerobius, and Dialister micraerophilus, bacteria associated with increased HIV susceptibility.	Nelson SG, Spyers-Duran M, Aziz M, Marcone D, Nault D, Demessie G, Kaul R, Galiwango RM, Yee R, Liu CM.	Sci Rep	10.1038/s41598-025-21406-7	2025
Metabolism	Clotrimazole-induced shifts in vaginal bacteriome and lipid metabolism: insights into recovery mechanisms in vulvovaginal candidiasis.	Wang J, Pu X, Gu Z.	J Appl Microbiol	10.1093/jambio/lxae269	2024
Phylogeny	Vaginal anaerobes are associated with cervicitis: A case-control study.	Plummer EL, Vodstrcil LA, Danielewski JA, Murray GL, Doyle ML, Latimer RL, Fairley CK, Chow EPF, Garland SM, Bradshaw CS.	J Infect	10.1016/j.jinf.2024.106210	2024
	HIV-associated penile anaerobes disrupt epithelial barrier integrity.	Buchanan LB, Shao Z, Galiwango RM, Constable S, Zuanazzi D, Biribawa VM, Ssemunywa HR, Namuniina A, Okech B, Edfeldt G, Tjernlund A, Tobian AAR, Park DE, Pham T, Aziz M, Salazar JE, Nelson S, Liu CM, Kaul R, Prodger JL.	PLoS Pathog	10.1371/journal.ppat.1013094	2025
Genetics	Urine microbes and predictive metagenomic profiles associate with abnormalities in sperm parameters: implications for male subfertility.	Osadchiy V, Belarmino A, Kianian R, Sigalos JT, Furtado TP, Ancira JS, Kanie T, Mangum SF, Tipton CD, Hsieh TM, Mills JN, Eleswarapu SV.	F S Sci	10.1016/j.xfss.2024.01.002	2024
Phylogeny	Individuality and generality of intratumoral microbiome in the three most prevalent gynecological malignancies: an observational study.	Xiao Q, Chen W-j, Wu F, Zhang X-y, Li X, Wei J, Chen T-t, Liu Z-x.	Microbiol Spectr	10.1128/spectrum.01004-24	2024
	Study of the cervical canal microbiome and microbiocenosis in reproductive-age women with squamous intraepithelial lesion.	Peremykina A, Cheranev V, Shilyaev AY, Krivoy A, Repinskaia Z, Korostin D, Rebrikov D.	Front Microbiol	10.3389/fmicb.2025.1630092	2025
	Penile microbiome: decoding its impact on HIV risk.	Nelson SG, Liu CM.	Curr Opin HIV AIDS	10.1097/coh.0000000000000865	2024
Genetics	Comparative analysis of the vaginal bacteriome and virome in healthy women living in high-altitude and sea-level areas.	Li C, Jin S, Lv O, Wang G, Zhang Y, Li S, Zhang W, Long F, Shen Z, Bai S, Zhaxi D, Kong F, Yan Q, Xiao Z.	Eur J Med Res	10.1186/s40001-023-01391-1	2024
Metabolism	Syntrophic bacterial and host-microbe interactions in bacterial vaginosis.	Lee EM, Srinivasan S, Purvine SO, Fiedler TL, Leiser OP, Proll SC, Minot SS, Djukovic D, Raftery D, Johnston C, Fredricks DN, Deatherage Kaiser BL.	ISME J	10.1093/ismejo/wraf055	2025
	Impact of antimicrobials on penile HIV susceptibility and immunology in uncircumcised men: A randomized phase 1/2 clinical trial.	Galiwango RM, Okech B, Park DE, Buchanan L, Shao Z, Bagaya B, Mpendo J, Joag V, Yegorov S, Nanvubya A, Biribawa VM, Namatovu T, Kato C, Kawoozo B, Ssetaala A, Muwanga M, Aziz M, Pham T, Huibner S, Tobian AAR, Liu CM, Prodger JL, Kaul R.	Cell Rep Med	10.1016/j.xcrm.2024.101705	2024
	Vaginal and Extra-Vaginal Bacterial Colonization and Risk for Incident Bacterial Vaginosis in a Population of Women Who Have Sex With Men.	Fredricks DN, Plantinga A, Srinivasan S, Oot A, Wiser A, Fiedler TL, Proll S, Wu MC, Marrazzo JM.	J Infect Dis	10.1093/infdis/jiaa233	2022
	Temporal composition of the cervicovaginal microbiome associates with hrHPV infection outcomes in a longitudinal study.	Molina MA, Leenders WPJ, Huynen MA, Melchers WJG, Andralojc KM.	BMC Infect Dis	10.1186/s12879-024-09455-1	2024
	Trends in infections detected in women with cervicitis over a decade.	Vodstrcil LA, Plummer EL, Nguyen TV, Fairley CK, Chow EPF, Phillips TR, Bradshaw CS.	Front Reprod Health	10.3389/frph.2025.1539186	2025
Genetics	Temporal dynamics of the vaginal microbiome and host immune markers before, during, and after metronidazole treatment for bacterial vaginosis.	Williams A, Ravel J, Armstrong E, Huibner S, Rutt L, Kaul R, Holm JB.	mSystems	10.1128/msystems.00380-25	2025
	Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.	Zhai Q, Zhao L, Wang M, Li L, Li LA, Ye M, Li M, Xu C, Meng Y.	Front Cell Infect Microbiol	10.3389/fcimb.2025.1556153	2025
Phylogeny	Cervicovaginal Microbiome and HPV: A Standardized Approach to 16S/ITS NGS and Microbial Community Profiling for Viral Association	Shen-Gunther J, Xia Q, Cai H, Wang Y.	Int J Mol Sci		2025
	Vaginal microbiome and sexually-transmitted pathogens in Chinese reproductive-age women: a multicentre cross-sectional and longitudinal cohort study.	Chen M, Qi C, Qing W, Zhou Z, Zhang Y, Chen R, Hou Y, Ou J, CALM2004 Consortium Investigators, He Y, Zhou H.	Nat Commun	10.1038/s41467-025-64917-7	2025
	Neonatal brain abscess development following fetal scalp electrode placement: a rare complication.	Fick T, Woerdeman PA.	Childs Nerv Syst	10.1007/s00381-021-05150-7	2022
	Gardnerella vaginalis-binding IgA in the urethra of sexually experienced males.	Liu R, Galiwango RM, Park D, Huibner S, Aziz M, Anok A, Nnamutete J, Isbirye Y, Wasswa JB, Male D, Kigozi G, Tobian AAR, Prodger JL, Liu C, Coburn B, Kaul R.	Microbiome	10.1186/s40168-024-02007-4	2025
Metabolism	Exploring the functional diversity and metabolic activities of the human gut microbiome in Thai adults in response to a prebiotic diet.	Kingkaw A, Patumcharoenpol P, Suratannon N, Nakphaichit M, Roytrakul S, Vongsangnak W.	Microbiol Spectr	10.1128/spectrum.01599-24	2025
	Effects of vaginal microbiota on in vitro fertilization outcomes in women with different infertility causes.	Zhao H, Wang C, Narsing Rao MP, Rafiq M, Luo G, Li S, Kang Y-Q.	Microbiol Spectr	10.1128/spectrum.01255-24	2025
	Supra- and Subgingival Microbiome in Gingivitis and Impact of Biofilm Control: A Comprehensive Review	Iniesta M, Vasconcelos V, Sanz M, Herrera D.	Antibiotics (Basel)		2024
	Extensive microbiological respiratory tract specimen characterization in critically ill COVID-19 patients.	Thomsen K, Pedersen HP, Iversen S, Wiese L, Fuursted K, Nielsen HV, Christensen JJE, Nielsen XC.	APMIS	10.1111/apm.13143	2021
Phylogeny	Cervicovaginal microbial features predict Chlamydia trachomatis spread to the upper genital tract of infected women.	Jeong S, Tollison T, Brochu H, Chou H, Huntress I, Yount KS, Zheng X, Darville T, O'Connell CM, Peng X.	Infect Immun	10.1128/iai.00057-25	2025
	Penile bacteria associated with HIV seroconversion, inflammation, and immune cells.	Prodger JL, Abraham AG, Tobian AA, Park DE, Aziz M, Roach K, Gray RH, Buchanan L, Kigozi G, Galiwango RM, Ssekasanvu J, Nnamutete J, Kagaayi J, Kaul R, Liu CM.	JCI Insight	10.1172/jci.insight.147363	2021
Enzymology	Associations between vaginal bacteria implicated in HIV acquisition risk and proinflammatory cytokines and chemokines.	Sabo MC, Lehman DA, Wang B, Richardson BA, Srinivasan S, Osborn L, Matemo D, Kinuthia J, Fiedler TL, Munch MM, Drake AL, Fredricks DN, Overbaugh J, John-Stewart G, McClelland RS, Graham SM.	Sex Transm Infect	10.1136/sextrans-2018-053949	2020
Genetics	Mapping the HPV Landscape in South African Women: A Systematic Review and Meta-Analysis of Viral Genotypes, Microbiota, and Immune Signals.	Maswanganye CK, Mkhize PP, Matume ND.	Viruses	10.3390/v16121893	2024
	Association between microbial composition, diversity, and function of the maternal gastrointestinal microbiome with impaired glucose tolerance on the glucose challenge test.	Dreisbach C, Prescott S, Alhusen J, Dudley D, Trinchieri G, Siega-Riz AM.	PLoS One	10.1371/journal.pone.0271261	2022
	Longitudinal analysis on the ecological dynamics of the cervicovaginal microbiome in hrHPV infection.	Molina MA, Melchers WJG, Andralojc KM, Leenders WPJ, Huynen MA.	Comput Struct Biotechnol J	10.1016/j.csbj.2023.09.011	2023
Genetics	Cervicovaginal Human Papillomavirus Genomes, Microbiota Composition and Cytokine Concentrations in South African Adolescents.	Happel AU, Balle C, Havyarimana E, Brown B, Maust BS, Feng C, Yi BH, Gill K, Bekker LG, Passmore JS, Jaspan HB, Varsani A.	Viruses	10.3390/v15030758	2023
	Composition of Vaginal Microbiota in Pregnant Women With Aerobic Vaginitis.	Oh KY, Lee S, Lee MS, Lee MJ, Shim E, Hwang YH, Ha JG, Yang YS, Hwang IT, Park JS.	Front Cell Infect Microbiol	10.3389/fcimb.2021.677648	2021
	The Vaginal Community State Types Microbiome-Immune Network as Key Factor for Bacterial Vaginosis and Aerobic Vaginitis.	De Seta F, Campisciano G, Zanotta N, Ricci G, Comar M.	Front Microbiol	10.3389/fmicb.2019.02451	2019
	Large-scale correlation analysis of deep venous thrombosis and gut microbiota.	Yang M, Luo P, Zhang F, Xu K, Feng R, Xu P.	Front Cardiovasc Med	10.3389/fcvm.2022.1025918	2022
	Population-level analyses identify host and environmental variables influencing the vaginal microbiome.	Qin L, Sun T, Li X, Zhao S, Liu Z, Zhang C, Jin C, Xu Y, Gao X, Cao Y, Wang J, Han T, Yan L, Song J, Zhang F, Liu F, Zhang Y, Huang Y, Song Y, Liu Y, Zhang J, Zhang X, Yao Z, Chen H, Zhang Z, Zhao S, Feng Y, Zhang YN, Yu Q, Cao F, Zhao L, Xie L, Geng L, Feng Q, Zhao H, Chen ZJ.	Signal Transduct Target Ther	10.1038/s41392-025-02152-8	2025
Phylogeny	Research of the Potential Vaginal Microbiome Biomarkers for High-Grade Squamous Intraepithelial Lesion.	Chao X, Wang L, Wang S, Lang J, Tan X, Fan Q, Shi H.	Front Med (Lausanne)	10.3389/fmed.2021.565001	2021
	The oral bacterial microbiome of occlusal surfaces in children and its association with diet and caries.	Ribeiro AA, Azcarate-Peril MA, Cadenas MB, Butz N, Paster BJ, Chen T, Bair E, Arnold RR.	PLoS One	10.1371/journal.pone.0180621	2017
	Arcanobacterium haemolyticum CNS abscess and bacteremia following head trauma: a case report and literature review.	Cortes-Penfield N, Kohli A, Weatherhead J, El Sahly H.	Infect Dis Clin Pract (Baltim Md)	10.1097/ipc.0000000000000477	2017
Phylogeny	Single-Molecule Approach to 16S rRNA for Vaginal Microbiome Signatures in Response to Metronidazole Treatment.	Qin H, Jiao J, A D, Hua M, Han K, Du H, Wang Z, Li J, Zhang D, Xiao B, Chen C.	Microbiol Spectr	10.1128/spectrum.01706-22	2023
	Changes in the vaginal microbiota across a gradient of urbanization.	Vargas-Robles D, Morales N, Rodriguez I, Nieves T, Godoy-Vitorino F, Alcaraz LD, Perez ME, Ravel J, Forney LJ, Dominguez-Bello MG.	Sci Rep	10.1038/s41598-020-69111-x	2020
	The menopause-related gut microbiome: associations with metabolomics, inflammatory protein markers, and cardiometabolic health in women with HIV.	Wang Y, Sharma A, Weber KM, Topper E, Appleton AA, Gustafson D, Clish CB, Kaplan RC, Burk RD, Qi Q, Peters BA.	Menopause	10.1097/gme.0000000000002287	2024
	Association of Cervical Dysbacteriosis, HPV Oncogene Expression, and Cervical Lesion Progression.	Liu H, Liang H, Li D, Wang M, Li Y.	Microbiol Spectr	10.1128/spectrum.00151-22	2022
Phylogeny	Urinary Microbiome of Reproductive-Age Asymptomatic European Women.	Ugarcina Perovic S, Ksiezarek M, Rocha J, Cappelli EA, Sousa M, Ribeiro TG, Grosso F, Peixe L.	Microbiol Spectr	10.1128/spectrum.01308-22	2022
	Genital microbiota of women using a 90 day tenofovir or tenofovir and levonorgestrel intravaginal ring in a placebo controlled randomized safety trial in Kenya.	Dabee S, Mugo N, Mudhune V, McLellan-Lemal E, Peacock S, O'Connor S, Njoroge B, Nyagol B, Thurman AR, Ouma E, Ridzon R, Wiener J, Haugen HS, Gasper M, Feng C, Allen SA, Doncel GF, Jaspan HB, Heffron R, Kisumu Combined Ring Study Team.	Sci Rep	10.1038/s41598-022-13475-9	2022
	Sexual behavior shapes male genitourinary microbiome composition.	Toh E, Xing Y, Gao X, Jordan SJ, Batteiger TA, Batteiger BE, Van Der Pol B, Muzny CA, Gebregziabher N, Williams JA, Fortenberry LJ, Fortenberry JD, Dong Q, Nelson DE.	Cell Rep Med	10.1016/j.xcrm.2023.100981	2023
Enzymology	Identification by 16S rRNA gene sequencing of Negativicoccus succinicivorans recovered from the blood of a patient with hemochromatosis and pancreatitis.	Church DL, Simmon KE, Sporina J, Lloyd T, Gregson DB.	J Clin Microbiol	10.1128/jcm.01913-10	2011
Enzymology	More Easily Cultivated Than Identified: Classical Isolation With Molecular Identification of Vaginal Bacteria.	Srinivasan S, Munch MM, Sizova MV, Fiedler TL, Kohler CM, Hoffman NG, Liu C, Agnew KJ, Marrazzo JM, Epstein SS, Fredricks DN.	J Infect Dis	10.1093/infdis/jiw192	2016
	Vaginal Microbiota Composition Correlates Between Pap Smear Microscopy and Next Generation Sequencing and Associates to Socioeconomic Status.	Virtanen S, Rantsi T, Virtanen A, Kervinen K, Nieminen P, Kalliala I, Salonen A.	Sci Rep	10.1038/s41598-019-44157-8	2019
	Life History Recorded in the Vagino-cervical Microbiome Along with Multi-omes.	Jie Z, Chen C, Hao L, Li F, Song L, Zhang X, Zhu J, Tian L, Tong X, Cai K, Zhang Z, Ju Y, Yu X, Li Y, Zhou H, Lu H, Qiu X, Li Q, Liao Y, Zhou D, Lian H, Zuo Y, Chen X, Rao W, Ren Y, Wang Y, Zi J, Wang R, Liu N, Wu J, Zhang W, Liu X, Zong Y, Liu W, Xiao L, Hou Y, Xu X, Yang H, Wang J, Kristiansen K, Jia H.	Genomics Proteomics Bioinformatics	10.1016/j.gpb.2021.01.005	2022
	The vaginal microbiome and preterm birth.	Fettweis JM, Serrano MG, Brooks JP, Edwards DJ, Girerd PH, Parikh HI, Huang B, Arodz TJ, Edupuganti L, Glascock AL, Xu J, Jimenez NR, Vivadelli SC, Fong SS, Sheth NU, Jean S, Lee V, Bokhari YA, Lara AM, Mistry SD, Duckworth RA, Bradley SP, Koparde VN, Orenda XV, Milton SH, Rozycki SK, Matveyev AV, Wright ML, Huzurbazar SV, Jackson EM, Smirnova E, Korlach J, Tsai YC, Dickinson MR, Brooks JL, Drake JI, Chaffin DO, Sexton AL, Gravett MG, Rubens CE, Wijesooriya NR, Hendricks-Munoz KD, Jefferson KK, Strauss JF, Buck GA.	Nat Med	10.1038/s41591-019-0450-2	2019
	Metagenomic Shotgun Sequencing of Endocervical, Vaginal, and Rectal Samples among Fijian Women with and without Chlamydia trachomatis Reveals Disparate Microbial Populations and Function across Anatomic Sites: a Pilot Study.	Bommana S, Richards G, Kama M, Kodimerla R, Jijakli K, Read TD, Dean D.	Microbiol Spectr	10.1128/spectrum.00105-22	2022
Pathogenicity	Antimicrobial susceptibilities and clinical sources of Dialister species.	Morio F, Jean-Pierre H, Dubreuil L, Jumas-Bilak E, Calvet L, Mercier G, Devine R, Marchandin H.	Antimicrob Agents Chemother	10.1128/aac.00538-07	2007
Phylogeny	Host factors are associated with vaginal microbiome structure in pregnancy in the ECHO Cohort Consortium.	McKee K, Bassis CM, Golob J, Palazzolo B, Sen A, Comstock SS, Rosas-Salazar C, Stanford JB, O'Connor T, Gern JE, Paneth N, Dunlop AL, ECHO Cohort Consortium.	Sci Rep	10.1038/s41598-024-62537-7	2024
Phylogeny	Association between Human Genetic Variants and the Vaginal Bacteriome of Pregnant Women.	Fan W, Kan H, Liu HY, Wang TL, He YN, Zhang M, Li YX, Li YJ, Meng W, Li Q, Hu AQ, Zheng YJ.	mSystems	10.1128/msystems.00158-21	2021
Genetics	A multiview model for relative and absolute microbial abundances.	Williamson BD, Hughes JP, Willis AD.	Biometrics	10.1111/biom.13503	2022
	Establishment of vaginal microbiota composition in early pregnancy and its association with subsequent preterm prelabor rupture of the fetal membranes.	Brown RG, Al-Memar M, Marchesi JR, Lee YS, Smith A, Chan D, Lewis H, Kindinger L, Terzidou V, Bourne T, Bennett PR, MacIntyre DA.	Transl Res	10.1016/j.trsl.2018.12.005	2019
Phylogeny	Molecular assessment of bacterial vaginosis by Lactobacillus abundance and species diversity.	Dols JA, Molenaar D, van der Helm JJ, Caspers MP, de Kat Angelino-Bart A, Schuren FH, Speksnijder AG, Westerhoff HV, Richardus JH, Boon ME, Reid G, de Vries HJ, Kort R.	BMC Infect Dis	10.1186/s12879-016-1513-3	2016
Pathogenicity	Microbial Composition Predicts Genital Tract Inflammation and Persistent Bacterial Vaginosis in South African Adolescent Females.	Lennard K, Dabee S, Barnabas SL, Havyarimana E, Blakney A, Jaumdally SZ, Botha G, Mkhize NN, Bekker LG, Lewis DA, Gray G, Mulder N, Passmore JS, Jaspan HB.	Infect Immun	10.1128/iai.00410-17	2018
Phylogeny	Bacterial communities in women with bacterial vaginosis: high resolution phylogenetic analyses reveal relationships of microbiota to clinical criteria.	Srinivasan S, Hoffman NG, Morgan MT, Matsen FA, Fiedler TL, Hall RW, Ross FJ, McCoy CO, Bumgarner R, Marrazzo JM, Fredricks DN.	PLoS One	10.1371/journal.pone.0037818	2012
Phylogeny	Colibacter massiliensis gen. nov. sp. nov., a novel Gram-stain-positive anaerobic diplococcal bacterium, isolated from the human left colon.	Anani H, Abdallah RA, Khoder M, Fontanini A, Mailhe M, Ricaboni D, Raoult D, Fournier PE.	Sci Rep	10.1038/s41598-019-53791-1	2019
	Negativicoccus succinicivorans gen. nov., sp. nov., isolated from human clinical samples, emended description of the family Veillonellaceae and description of Negativicutes classis nov., Selenomonadales ord. nov. and Acidaminococcaceae fam. nov. in the bacterial phylum Firmicutes.	Marchandin H, Teyssier C, Campos J, Jean-Pierre H, Roger F, Gay B, Carlier JP, Jumas-Bilak E.	Int J Syst Evol Microbiol	10.1099/ijs.0.013102-0	2010
Phylogeny	Dialister hominis sp. nov., isolated from human faeces.	Sakamoto M, Ikeyama N, Toyoda A, Murakami T, Mori H, Iino T, Ohkuma M	Int J Syst Evol Microbiol	10.1099/ijsem.0.003797	2020
Phylogeny	Dialister micraerophilus sp. nov. and Dialister propionicifaciens sp. nov., isolated from human clinical samples.	Jumas-Bilak E, Jean-Pierre H, Carlier JP, Teyssier C, Bernard K, Gay B, Campos J, Morio F, Marchandin H	Int J Syst Evol Microbiol	10.1099/ijs.0.63715-0	2005

References

#8410	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 19965
#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 )
#27807	IJSEM 2471 2005 ( DOI 10.1099/ijs.0.63715-0 , PubMed 16280512 )
#31511	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #27807
#38266	; Curators of the CIP;
#58352	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 48837
#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;
#68380	Automatically annotated from API rID32A .
#68382	Automatically annotated from API zym .
#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 .
#120945	Collection of Institut Pasteur ; Curators of the CIP; CIP 108278
#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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Dialister micraerophilus (DSM 19965, CCUG 48837, CIP 108278)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Pigmentation

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Metabolite utilization

Metabolite production

Metabolite tests

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API zym

API rID32A

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Sequence information

Genome sequences

Genome browser: GCA_000194985

16S sequences

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