Lancefieldella parvula (CCUG 32760, CIP 102970, DSM 20469)

Name: Lancefieldella parvula (CCUG 32760, CIP 102970, DSM 20469)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 3040

Type strain

Strain Designation 1246

Culture col. no. CCUG 32760 CIP 102970 DSM 20469 ATCC 33793 VPI 0546 3 more

NCBI tax ID(s) 521095 1382

Special Collections DSMZ CCUG JCM KCTC CIP

History DSMZ <- VPI, 0546 <- A.R. Prévot, 1246 JCM <-- DSM 20469 <-- VPI 0546 <-- A. R. Prévot 1246. CIP <- 2008, JCM <- M.D. Collins: strain JCM 10300, 1987, ATCC <- E.P. Cato: strain VPI 0546 <- A.R. Prévot, Inst. Pasteur, Paris, France: strain 1246, Streptococcus parvulus

Links

Lancefieldella parvula 1246 is an anaerobe, Gram-positive, oval-shaped bacterium that was isolated from Human gingival crevices.

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

Name and taxonomic classification

SI-ID 92324

ATCC 33793,CCUG 32760,NCFB 2897,CIP 102970,DSM 20469,JCM 10300,NCIMB 702897,KCTC 3663,VTT E-052774

@ref 20215

Last LPSN update 2026-05-29 08:25:37

Domain Bacteria

Phylum Actinomycetota

Class Coriobacteriia

Order Coriobacteriales

Family Atopobiaceae

Genus Lancefieldella

Species Lancefieldella parvula

Full scientific name Lancefieldella parvula (Weinberg et al. 1937) Nouioui et al. 2018

Synonyms (3)

Atopobium parvulum
Peptostreptococcus parvulus
"Streptococcus parvulus"

BacDive ID	Other strains from **Lancefieldella parvula** (4)	Type strain
156735	L. parvula CCUG 64643
161533	L. parvula JCM 1472
165412	L. parvula JCM 6503, VPI 5229
165413	L. parvula JCM 6504

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
121601	positive	oval-shaped
125439	negative		99.692
125438			95

Multimedia

@ref:	66793
multimedia content:	EM_DSM_20469_1.jpg
multimedia.multimedia content:	EM_DSM_20469_1.jpg
caption:	electron microscopic image
intellectual property rights:	© HZI/Manfred Rohde
manual_annotation:	1

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
8840	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
36589	MEDIUM 6 - Columbia agar with 10 % horse blood		Distilled water make up to (1000.000 ml);Columbia agar (39.000 g);Horseblood (100.000 ml)
121601	CIP Medium 6	Medium recipe at CIP
121601	CIP Medium 31	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
8840	positive	growth	37
36589	positive	growth	37
67770	positive	growth	37
121601	positive	growth	30-37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
8840	anaerobe
125439	facultative anaerobe	90.381

Spore formation

@ref	Spore formation	Confidence
125439		99.991

Murein

@ref	Murein short key	Type
8840	A11.31	A4alpha L-Lys-D-Asp

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68380	29016 ChEBI	arginine	-	hydrolysis	from API rID32A
68380	29985 ChEBI	L-glutamate	-	degradation	from API rID32A
68380	17632 ChEBI	nitrate	-	reduction	from API rID32A
121601	17632 ChEBI	nitrate	-	reduction
121601	16301 ChEBI	nitrite	-	reduction
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	Voges-proskauer-test
121601	15688 ChEBI	acetoin		-
68380	35581 ChEBI	indole	-		from API rID32A

Enzymes

@ref	Value	Activity	Ec
68382	acid phosphatase	+	3.1.3.2	from API zym
121601	alcohol dehydrogenase	-	1.1.1.1
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
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
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
68382	beta-glucuronidase	-	3.2.1.31	from API zym
68380	beta-glucuronidase	-	3.2.1.31	from API rID32A
121601	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
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
121601	lysine decarboxylase	-	4.1.1.18
68382	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API zym
68382	naphthol-AS-BI-phosphohydrolase	+		from API zym
121601	ornithine decarboxylase	-	4.1.1.17
121601	oxidase	-
68380	proline-arylamidase	-	3.4.11.5	from API rID32A
68382	trypsin	-	3.4.21.4	from API zym
68380	tryptophan deaminase	-	4.1.99.1	from API rID32A
68380	urease	-	3.5.1.5	from API rID32A
68382	valine arylamidase	-		from API zym

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
121601	-	-	+	+	-	+	-	-	-	-	+	+	-	-	-	+	-	-	-	-

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
8840	-	-	-	+	-	-	-	-	-	+/-	-	-	-	-	-	-	-	+	-	-	+/-	+/-	+/-	+	+/-	+/-	+/-	-	+/-
8840	-	-	-	+	-	+	+	-	-	-	+	-	-	-	-	-	-	+/-	-	-	+/-	+/-	-	+/-	-	-	+/-	-	+/-

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species	Isolation date
67770	Human gingival crevices	Homo sapiens
121601	Human, Gingival crevices	Homo sapiens	1992

Taxonmaps

69479

Global distribution of 16S sequence X67150 (>99% sequence identity) for Lancefieldella parvula subclade from Microbeatlas

Aquatic Samples	2818
Soil Samples	2274
Animal Samples	154946
Plant Samples	1009
Total Samples	161047

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
8840	2	Risk group (German classification) According to TRBA 466
121601	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
66792	ASM2422v1 assembly for Lancefieldella parvula DSM 20469	complete	GCA_000024225	521095.6	644736327	521095	99.66
66792	SRR9217392-mag-bin.20 assembly for Lancefieldella parvula DSM 20469	contig	GCA_905371835	521095.16		521095	0

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Atopobium parvulum 16S ribosomal RNA gene, partial sequence	AF292372	1425	521095
8840	A.parvulum 16S rRNA	X67150	1348	1382
67770	Atopobium parvulum gene for 16S ribosomal RNA, partial sequence, strain: JCM 10300	AB558168	1473	521095

GC content

@ref	GC-content (mol%)	Method
8840	44.0
67770	53	thermal denaturation, midpoint method (Tm)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM2422v1 assembly for Lancefieldella parvula DSM 20469
BV-BRC: 521095.6

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	90.38	no
125439	gram_stain	BacteriaNetⓘ	negative	99.69	no
125439	motility	BacteriaNetⓘ	yes	76.27	no
125439	spore_formation	BacteriaNetⓘ	no	99.99	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Lancefieldella parvulum DSM 20469 DSM 20469
NCBI: GCA_000024225.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	85.44	no
125438	anaerobic	anaerobicⓘ	yes	87.19	yes
125438	aerobic	aerobicⓘ	no	96.93	yes
125438	spore-forming	spore-formingⓘ	no	80.88	no
125438	thermophilic	thermophileⓘ	no	91.06	yes
125438	flagellated	motile2+ⓘ	no	95.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	The human intestinal bacterium Eggerthella lenta influences gut metabolomes in gnotobiotic mice	Viehof A, Haange S, Streidl T, Schubert K, Engelmann B, Haller D, Rolle-Kampczyk U, von Bergen M, Clavel T.	Microbiome Res Rep		2024
Metabolism	Quantification of hydrogen production by intestinal bacteria that are specifically dysregulated in Parkinson's disease.	Suzuki A, Ito M, Hamaguchi T, Mori H, Takeda Y, Baba R, Watanabe T, Kurokawa K, Asakawa S, Hirayama M, Ohno K.	PLoS One	10.1371/journal.pone.0208313	2018
	Quantification of Slackia and Eggerthella spp. in Human Feces and Adhesion of Representatives Strains to Caco-2 Cells.	Cho GS, Ritzmann F, Eckstein M, Huch M, Briviba K, Behsnilian D, Neve H, Franz CM.	Front Microbiol	10.3389/fmicb.2016.00658	2016
	Development of a species-specific TaqMan-MGB real-time PCR assay to quantify Olsenella scatoligenes in pigs offered a chicory root-based diet.	Li X, Jensen BB, Hojberg O, Noel SJ, Canibe N.	AMB Express	10.1186/s13568-018-0627-y	2018
	Dissemination of 6S RNA among bacteria.	Wehner S, Damm K, Hartmann RK, Marz M.	RNA Biol	10.4161/rna.29894	2014
Phylogeny	Genomic analysis of Melioribacter roseus, facultatively anaerobic organotrophic bacterium representing a novel deep lineage within Bacteriodetes/Chlorobi group.	Kadnikov VV, Mardanov AV, Podosokorskaya OA, Gavrilov SN, Kublanov IV, Beletsky AV, Bonch-Osmolovskaya EA, Ravin NV.	PLoS One	10.1371/journal.pone.0053047	2013
Metabolism	Association of purine asymmetry, strand-biased gene distribution and PolC within Firmicutes and beyond: a new appraisal.	Saha SK, Goswami A, Dutta C.	BMC Genomics	10.1186/1471-2164-15-430	2014
Genetics	Genome-Based Taxonomic Classification of the Phylum Actinobacteria.	Nouioui I, Carro L, Garcia-Lopez M, Meier-Kolthoff JP, Woyke T, Kyrpides NC, Pukall R, Klenk HP, Goodfellow M, Goker M.	Front Microbiol	10.3389/fmicb.2018.02007	2018
	Clinical management of Lancefieldella parvula bacteremia: A case study and review of the literature.	Wenglinski C, Martiny D, Watchi M, Taccone FS, Vacheron CH.	Rev Argent Microbiol	10.1016/j.ram.2025.06.004	2025
	Isolation of Lancefieldella parvula in Secondary Infection from Human Bite: A Rare Occurrence.	Jimenez Rayas S, Cervantes Hernandez MI, Vanegas Rodriguez ES, Colin Castro CA, Martinez Zavaleta MG, Franco Cendejas R, Lopez Jacome LE.	Diagn Microbiol Infect Dis	10.1016/j.diagmicrobio.2025.116842	2025
	Microbiota Association and Profiling of Gingival Sulci and Root Canals of Teeth with Primary or Secondary/Persistent Endodontic Infections.	Park DH, Park OJ, Yoo YJ, Perinpanayagam H, Cho EB, Kim K, Park J, Noblett WC, Kum KY, Han SH.	J Endod	10.1016/j.joen.2024.04.016	2024
	An uncommon case of bacteremia caused by Lancefieldella parvula in an oncological patient.	Cobo F, Perez-Carrasco V, Garcia-Salcedo JA, Navarro-Mari JM.	Anaerobe	10.1016/j.anaerobe.2022.102661	2022
	Multi-year comparison of VITEK MS performance for identification of rarely encountered pathogenic gram-positive organisms (GPOs) in a large integrated Canadian healthcare region.	Church D, Griener T, Gregson D.	Microbiol Spectr	10.1128/spectrum.02545-24	2025
	An association between poor oral health, oral microbiota, and pain identified in New Zealand women with central sensitisation disorders: a prospective clinical study.	Erdrich S, Gelissen IC, Vuyisich M, Toma R, Harnett JE.	Front Pain Res (Lausanne)	10.3389/fpain.2025.1577193	2025
	A cross-cohort study identifies potential oral microbial markers for esophageal squamous cell carcinoma.	Yu Y, Xia L, Wang Z, Zhu T, Zhao L, Fan S.	iScience	10.1016/j.isci.2024.111453	2024
	Exploring Relationships Within the Microbiome of Root Canal Infections and the Influence of Associated Clinical Parameters.	Mominkhan D, Brito LCN, Yakubu AR, Larson E, Martin L, Patel M, Tavares WLF, Ribeiro-Sobrinho A, Teles F.	Int Endod J	10.1111/iej.70011	2025
Genetics	Using Nanopore Sequencing to Obtain Complete Bacterial Genomes from Saliva Samples.	Baker JL.	mSystems	10.1128/msystems.00491-22	2022
Pathogenicity	Green Tea Kombucha Impacts Inflammation and Salivary Microbiota in Individuals with Excess Body Weight: A Randomized Controlled Trial.	Fraiz GM, Bonifacio DB, Lacerda UV, Cardoso RR, Corich V, Giacomini A, Martino HSD, Echeverria SE, Barros FAR, Milagro FI, Bressan J.	Nutrients	10.3390/nu16183186	2024
Transcriptome	Respiratory immune status and microbiome in recovered COVID-19 patients revealed by metatranscriptomic analyses.	Meng H, Wang S, Tang X, Guo J, Xu X, Wang D, Jin F, Zheng M, Yin S, He C, Han Y, Chen J, Han J, Ren C, Gao Y, Liu H, Wang Y, Jin R.	Front Cell Infect Microbiol	10.3389/fcimb.2022.1011672	2022
	The Effect of Probiotics on Health in Pregnancy and Infants: A Randomized, Double-Blind, Placebo-Controlled Trial.	Binda S, Chow-Shi-Yee M, El Salti S, Auclair-Ouellet N, Oula ML, Carton T, Leuillet S, Tomassi D, Hemmings R, Kadoch IJ.	Nutrients	10.3390/nu17111825	2025
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
	Sepsityper^® Kit versus In-House Method in Rapid Identification of Bacteria from Positive Blood Cultures by MALDI-TOF Mass Spectrometry.	Perse G, Samoscanec I, Bosnjak Z, Budimir A, Kulis T, Marekovic I.	Life (Basel)	10.3390/life12111744	2022
	Fecal Microbiome and Metabolomic Profiles of Mixed-Fed Infants Are More Similar to Formula-Fed than Breastfed Infants.	Wang M, Valizadegan N, Fields CJ, Donovan SM.	Microorganisms	10.3390/microorganisms13010166	2025
	Profiles of subgingival microbiomes and gingival crevicular metabolic signatures in patients with amnestic mild cognitive impairment and Alzheimer's disease.	Qiu C, Zhou W, Shen H, Wang J, Tang R, Wang T, Xie X, Hong B, Ren R, Wang G, Song Z.	Alzheimers Res Ther	10.1186/s13195-024-01402-1	2024
	Maternal antibiotic prophylaxis during cesarean section has a limited impact on the infant gut microbiome.	Sinha T, Prins JR, Fernandez-Pato A, Kruk M, Dierikx T, de Meij T, de Boer M, de Boer JF, Scherjon S, Kurilshikov A, Zhernakova A.	Cell Host Microbe	10.1016/j.chom.2024.07.010	2024
Pathogenicity	The clinical impacts of lung microbiome in bronchiectasis with fixed airflow obstruction: a prospective cohort study.	Chen YF, Hou HH, Chien N, Lu KZ, Lin CH, Liao YC, Lor KL, Chien JY, Chen CM, Chen CY, Cheng SL, Wang HC, Hsueh PR, Yu CJ.	Respir Res	10.1186/s12931-024-02931-x	2024
	Commensal Lactobacilli Metabolically Contribute to Cervical Epithelial Homeostasis in a Species-Specific Manner.	Jimenez NR, Maarsingh JD, Laniewski P, Herbst-Kralovetz MM.	mSphere	10.1128/msphere.00452-22	2023
	Systematic Review of Actinomycetes in the Baijiu Fermentation Microbiome.	Chen C, Yang H, Liu J, Luo H, Zou W.	Foods	10.3390/foods11223551	2022
Phylogeny	Immunometabolic and potential tumor-promoting changes in 3D cervical cell models infected with bacterial vaginosis-associated bacteria.	Maarsingh JD, Laniewski P, Herbst-Kralovetz MM.	Commun Biol	10.1038/s42003-022-03681-6	2022
Enzymology	Antimicrobial activity of Streptococcus salivarius K12 on bacteria involved in oral malodour.	Masdea L, Kulik EM, Hauser-Gerspach I, Ramseier AM, Filippi A, Waltimo T	Arch Oral Biol	10.1016/j.archoralbio.2012.02.011	2012

References

#8840	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 20469
#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 )
#36589	; Curators of the CIP;
#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) .
#66793	Mukherjee et al.: GEBA: 1,003 reference genomes of bacterial and archaeal isolates expand coverage of the tree of life. 35: 676 - 683 2017 ( DOI 10.1038/nbt.3886 , PubMed 28604660 )
#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 .
#121601	Collection of Institut Pasteur ; Curators of the CIP; CIP 102970
#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 )

Content

About us

Lancefieldella parvula (CCUG 32760, CIP 102970, DSM 20469)

Name and taxonomic classification

Morphology

Cell morphology

Multimedia

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Murein

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API zym

API rID32A

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000024225

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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