Streptococcus parasanguinis (CCUG 30417, LMG 14537, KCTC 15406)

Name: Streptococcus parasanguinis (CCUG 30417, LMG 14537, KCTC 15406)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 14792

Type strain

Strain Designation SS 898

Culture col. no. CCUG 30417 LMG 14537 KCTC 15406 DSM 6778 ATCC 15912 4 more

NCBI tax ID(s) 760570 1318

Special Collections DSMZ CCUG KCTC CIP

History DSMZ <- ATCC; ATCC 15912 <- C.K. Williamson; SS 898 (Streptococcus mitis) KCTC <- CCUG <- R Whiley, LHMC, London, UK CIP <- 1995, DSM <- ATCC <- C.K. Williamson, Streptococcus mitis

Links

Streptococcus parasanguinis SS 898 is a microaerophile, Gram-positive bacterium that was isolated from human throat.

Gram-positive microaerophile genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 8050

LMG 14537,ATCC 15912,CCUG 30417,DSM 6778,NCTC 12854,KCTC 15406,CIP 104372,BCRC 14739,CCRC 14739,CIP 13046,CNCTC 7136

@ref 20215

Last LPSN update 2026-05-29 08:28:22

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Lactobacillales

Family Streptococcaceae

Genus Streptococcus

Species Streptococcus parasanguinis

Full scientific name Streptococcus parasanguinis corrig. Whiley et al. 1990

Synonyms (1)

Streptococcus parasanguis

BacDive ID	Other strains from **Streptococcus parasanguinis** (29)	Type strain
143692	S. parasanguinis CCUG 21026, ATCC 903
144358	S. parasanguinis CCUG 24736 A
145017	S. parasanguinis CCUG 27421
145141	S. parasanguinis CCUG 27742
145142	S. parasanguinis CCUG 27743, LMG 14556
146128	S. parasanguinis CCUG 30418, ATCC 15911, LMG 14538
146129	S. parasanguinis CCUG 30419, LMG 14539
146130	S. parasanguinis CCUG 30420, LMG 14540
146131	S. parasanguinis CCUG 30422
146132	S. parasanguinis CCUG 30423, LMG 14541
146437	S. parasanguinis CCUG 31133
147020	S. parasanguinis CCUG 32656
148066	S. parasanguinis CCUG 34756
148357	S. parasanguinis CCUG 35277
148670	S. parasanguinis CCUG 35789
148672	S. parasanguinis CCUG 35792
150584	S. parasanguinis CCUG 41671
150626	S. parasanguinis CCUG 41792
151054	S. parasanguinis CCUG 43167 A
151818	S. parasanguinis CCUG 44975
151938	S. parasanguinis CCUG 45282
153561	S. parasanguinis CCUG 50180
153653	S. parasanguinis CCUG 50500
154062	S. parasanguinis CCUG 52191
154878	S. parasanguinis CCUG 55521
154879	S. parasanguinis CCUG 55522
154957	S. parasanguinis CCUG 55864
155202	S. parasanguinis CCUG 56890
155740	S. parasanguinis CCUG 59181

Morphology

Cell morphology

@ref	Motility	Confidence	Gram stain
67771			positive
125438		90.5

Colony morphology

@ref	Type of hemolysis	Hemolysis ability	Incubation period
2812	alpha	1	1-2 days

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
2812	TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92)	Medium recipe at MediaDive	Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water
2812	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
34689	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)
121590	CIP Medium 6	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
2812	positive	growth	37
34689	positive	growth	37
67771	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
2812	microaerophile
67771	microaerophile
125439	facultative anaerobe	96.432

Spore formation

@ref	Spore formation	Confidence
125439		92.975

Murein

@ref	Murein short key	Type
2812	A11.50	A3alpha L-Lys-L-Ala-Gly

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68381	40585 ChEBI	alpha-cyclodextrin	-	builds acid from	from API rID32STR
68381	18333 ChEBI	D-arabitol	-	builds acid from	from API rID32STR
68381	16899 ChEBI	D-mannitol	-	builds acid from	from API rID32STR
68381	16988 ChEBI	D-ribose	-	builds acid from	from API rID32STR
68381	16443 ChEBI	D-tagatose	+	builds acid from	from API rID32STR
68381	28087 ChEBI	glycogen	-	builds acid from	from API rID32STR
68381	30849 ChEBI	L-arabinose	-	builds acid from	from API rID32STR
68381	17716 ChEBI	lactose	+	builds acid from	from API rID32STR
68381	17306 ChEBI	maltose	+	builds acid from	from API rID32STR
68381	6731 ChEBI	melezitose	-	builds acid from	from API rID32STR
68381	27941 ChEBI	pullulan	-	builds acid from	from API rID32STR
68381	16634 ChEBI	raffinose	+	builds acid from	from API rID32STR
68381	30911 ChEBI	sorbitol	-	builds acid from	from API rID32STR
68381	17992 ChEBI	sucrose	+	builds acid from	from API rID32STR
68381	27082 ChEBI	trehalose	+	builds acid from	from API rID32STR
68381	16199 ChEBI	urea	-	hydrolysis	from API rID32STR

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68381	15688 ChEBI	acetoin		from API rID32STR

Metabolite tests

@ref	Chebi-ID	Metabolite	Voges-proskauer-test
68381	15688 ChEBI	acetoin	-	from API rID32STR

Enzymes

@ref	Value	Activity	Ec
68381	Alanyl-Phenylalanyl-Proline arylamidase	+		from API rID32STR
68381	alkaline phosphatase	+	3.1.3.1	from API rID32STR
68381	alpha-galactosidase	+	3.2.1.22	from API rID32STR
68381	beta-glucosidase	+	3.2.1.21	from API rID32STR
68381	beta-glucuronidase	-	3.2.1.31	from API rID32STR
2812	catalase	+	1.11.1.6
2812	cytochrome-c oxidase	-	1.9.3.1
68381	pyrrolidonyl arylamidase	-	3.4.19.3	from API rID32STR
68381	urease	-	3.5.1.5	from API rID32STR

API rID32STR

@ref	ADH (Arg)	beta GLU	beta GAR	beta GUR	alpha GAL	PAL	RIB	MAN	SOR	LAC	TRE	RAF	SAC	LARA	DARL	Acid from alpha-cyclodextrinCDEX	Acetoin production (Voges Proskauer test)VP	Alanyl-Phenylalanyl-Proline arylamidaseAPPA	beta GAL	Pyrrolidonyl arylamidasePyrA	N-Acetyl-glucosaminidasebeta NAG	Glycyl-tryptophan arylamidaseGTA	HIP	GLYG	PUL	MAL	MEL	MLZ	Acidification of methyl beta-D-glucopyranosideMbeta DG	TAG	beta MAN	URE
2812	+	+	+	-	+	+	-	-	-	+	+	+	+	-	-	-	-	+	+	-	+	+	-	-	-	+	-	-	+	+	+	-
2812	-	+	+	-	+	+	-	-	-	+	+	+	+	-	-	-	-	+	-	-	-	-	+	-	-	+	-	-	-	+	-	-
2812	-	+	+	-	+	+	-	-	-	+	+	+	+	-	-	-	-	+	+	-	+	+	-	-	-	+	+	-	+	+	+	-
2812	+	+	+	-	+	+	-	-	-	+	+	+	+	-	-	-	-	+	+	-	+	+	-	-	-	+	-	-	+	+	+	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Human	-
#Host Body-Site	#Oral cavity and airways	#Throat

Isolation

@ref	Sample type	Host species
2812	human throat	Homo sapiens
50067	Human throat	Homo sapiens
67771	From Human throat	Homo sapiens
121590	Human, Throat	Homo sapiens

Taxonmaps

69479

Global distribution of 16S sequence AY485605 (>99% sequence identity) for Streptococcus from Microbeatlas

Aquatic Samples	182
Soil Samples	43
Animal Samples	10697
Plant Samples	135
Total Samples	11057

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
2812	2	Risk group (German classification) According to TRBA 466
121590	2	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	ASM16467v2 assembly for Streptococcus parasanguinis ATCC 15912	complete	GCA_000164675	760570.3	650716089	760570	98.8

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
20218	Streptococcus parasanguis 16S ribosomal RNA gene, complete sequence	AF003933	1513	760570
20218	Streptococcus parasanguinis strain ATCC 15912 16S-23S ribosomal RNA intergenic spacer, partial sequence	AY351320	249	760570
20218	Streptococcus parasanguinis strain ATCC 15912 16S small subunit ribosomal RNA gene, partial sequence	AY485605	1470	760570
20218	Streptococcus parasanguinis strain ATCC 15912 16S ribosomal RNA gene, partial sequence	DQ303191	1464	760570
20218	Streptococcus parasanguinis strain ATCC 15912 16S ribosomal RNA gene, partial sequence	EU156771	1329	760570
124043	Streptococcus parasanguinis strain KCTC 13046 16S ribosomal RNA gene, partial sequence; 16S-23S ribosomal RNA intergenic spacer, complete sequence; and 23S ribosomal RNA gene, partial sequence.	HM241935	460	1318

GC content

@ref	GC-content (mol%)	Method
2812	42	thermal denaturation, midpoint method (Tm)
67771	42.0	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: ASM16467v2 assembly for Streptococcus parasanguinis ATCC 15912
BV-BRC: 760570.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	96.43	no
125439	gram_stain	BacteriaNetⓘ	variable	58.34	no
125439	motility	BacteriaNetⓘ	no	81.41	no
125439	spore_formation	BacteriaNetⓘ	no	92.98	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Streptococcus parasanguinis ATCC 15912 ATCC 15912
NCBI: GCA_000164675.2

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	87.75	yes
125438	anaerobic	anaerobicⓘ	no	90.67	yes
125438	aerobic	aerobicⓘ	no	96.56	no
125438	spore-forming	spore-formingⓘ	no	82.60	no
125438	thermophilic	thermophileⓘ	no	97.28	yes
125438	flagellated	motile2+ⓘ	no	90.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Assessment of Disinfection Potential of Q-Switch Nd: YAG Laser on Contaminated Titanium Implant Surfaces.	Namour M, Mobadder ME, Mulongo B, Fagnart O, Harb A, Peremans A, Verspecht T, Teughels W, Nammour S, Rompen E.	Materials (Basel)	10.3390/ma14206078	2021
	How Do Prebiotics Affect Human Intestinal Bacteria?-Assessment of Bacterial Growth with Inulin and XOS In Vitro.	Schropp N, Stanislas V, Michels KB, Thriene K.	Int J Mol Sci	10.3390/ijms241612796	2023
	Trichuris muris egg-hatching assay for anthelminthic drug discovery and characterization.	Scharer A, Biendl S, Keiser J.	Int J Parasitol Drugs Drug Resist	10.1016/j.ijpddr.2023.10.001	2023
	Q-Switch Nd:YAG Laser-Assisted Elimination of Multi-Species Biofilm on Titanium Surfaces.	Namour M, Namour M, Verspecht T, El Mobadder M, Teughels W, Peremans A, Nammour S, Rompen E.	Materials (Basel)	10.3390/ma13071573	2020
Phylogeny	Pipeline for amplifying and analyzing amplicons of the V1-V3 region of the 16S rRNA gene.	Allen HK, Bayles DO, Looft T, Trachsel J, Bass BE, Alt DP, Bearson SM, Nicholson T, Casey TA.	BMC Res Notes	10.1186/s13104-016-2172-6	2016
	Development of an in vitro Model of Human Gut Microbiota for Screening the Reciprocal Interactions With Antibiotics, Drugs, and Xenobiotics.	El Houari A, Ecale F, Mercier A, Crapart S, Laparre J, Soulard B, Ramnath M, Berjeaud JM, Rodier MH, Crepin A.	Front Microbiol	10.3389/fmicb.2022.828359	2022
Metabolism	Dysbiosis by neutralizing commensal mediated inhibition of pathobionts.	Herrero ER, Slomka V, Boon N, Bernaerts K, Hernandez-Sanabria E, Quirynen M, Teughels W.	Sci Rep	10.1038/srep38179	2016
Enzymology	Evaluation of a novel real-time PCR test based on the ssrA gene for the identification of group B streptococci in vaginal swabs.	Wernecke M, Mullen C, Sharma V, Morrison J, Barry T, Maher M, Smith T.	BMC Infect Dis	10.1186/1471-2334-9-148	2009
Phylogeny	Comparative analysis of gut microbiota in children with obstructive sleep apnea: assessing the efficacy of 16S rRNA gene sequencing in metabolic function prediction based on weight status.	Chuang HH, Huang CG, Chou SH, Li HY, Lee CC, Lee LA.	Front Endocrinol (Lausanne)	10.3389/fendo.2024.1344152	2024
Genetics	Metagenome-wide association study revealed disease-specific landscape of the gut microbiome of systemic lupus erythematosus in Japanese.	Tomofuji Y, Maeda Y, Oguro-Igashira E, Kishikawa T, Yamamoto K, Sonehara K, Motooka D, Matsumoto Y, Matsuoka H, Yoshimura M, Yagita M, Nii T, Ohshima S, Nakamura S, Inohara H, Takeda K, Kumanogoh A, Okada Y.	Ann Rheum Dis	10.1136/annrheumdis-2021-220687	2021
	Select Streptococci Can Degrade Candida Mannan To Facilitate Growth.	Fultz R, Ticer T, Glover J, Stripe L, Engevik MA.	Appl Environ Microbiol	10.1128/aem.02237-21	2022
Pathogenicity	Insights into Within-Host Evolution and Dynamics of Oral and Intestinal Streptococci Unveil Niche Adaptation.	Abdelbary MMH, Hatting M, Dahlhausen A, Bott A, Conrads G.	Int J Mol Sci	10.3390/ijms252413507	2024
	Identifying single-strain growth patterns of human gut microbes in response to preterm human milk and formula.	Engevik MA, Stripe LK, Baatz JE, Wagner CL, Chetta KE.	Food Funct	10.1039/d2fo00447j	2022
	Genome Anatomy of Streptococcus parasanguinis Strain C1A, Isolated from a Patient with Acute Exacerbation of Chronic Obstructive Pulmonary Disease, Reveals Unusual Genomic Features.	Chan KG, Ng KT, Pang YK, Chong TM, Kamarulzaman A, Yin WF, Tee KK.	Genome Announc	10.1128/genomea.00541-15	2015
	Identification of Veillonella parvula and Streptococcus gordonii adhesins mediating co-aggregation and its impact on physiology and mixed biofilm structure.	Dorison L, Bechon N, Martin-Gallausiaux C, Chamorro-Rodriguez S, Vitrenko Y, Ouazahrou R, Villa R, Deschamps J, Briandet R, Gribaldo S, Ghigo J-M, Beloin C.	mBio	10.1128/mbio.02171-24	2024
Genetics	Bacteriocin Producing Streptococcus agalactiae Strains Isolated from Bovine Mastitis in Brazil.	Vidal Amaral JR, Juca Ramos RT, Almeida Araujo F, Bentes Kato R, Figueira Aburjaile F, de Castro Soares S, Goes-Neto A, Matiuzzi da Costa M, Azevedo V, Brenig B, Soares de Oliveira S, Soares Rosado A.	Microorganisms	10.3390/microorganisms10030588	2022
	Effect of mechanically stimulated saliva on initial human dental biofilm formation.	Inui T, Palmer RJ, Shah N, Li W, Cisar JO, Wu CD.	Sci Rep	10.1038/s41598-019-48211-3	2019
	Isolation and Characterization of a Novel Alpha-Hemolytic Streptococcus spp. from the Oral Cavity and Blood of Septicemic Periparturient Immunodeficient Mice.	Funk A, Jia Q, Janke L, Crawford A, Iverson A, Rosch J, Emmons J, Savage C, Glasgow H, Hayden R, Margolis E, Pisharath H.	Comp Med	10.30802/aalas-cm-23-000020	2023
	Quantification of Human Oral and Fecal Streptococcus parasanguinis by Use of Quantitative Real-Time PCR Targeting the groEL Gene.	Chen Q, Wu G, Chen H, Li H, Li S, Zhang C, Pang X, Wang L, Zhao L, Shen J.	Front Microbiol	10.3389/fmicb.2019.02910	2019
Pathogenicity	Rocket-miR, a translational launchpad for miRNA-based antimicrobial drug development.	Neff SL, Hampton TH, Koeppen K, Sarkar S, Latario CJ, Ross BD, Stanton BA.	mSystems	10.1128/msystems.00653-23	2023
Metabolism	Bioorthogonal non-canonical amino acid tagging reveals translationally active subpopulations of the cystic fibrosis lung microbiota.	Valentini TD, Lucas SK, Binder KA, Cameron LC, Motl JA, Dunitz JM, Hunter RC.	Nat Commun	10.1038/s41467-020-16163-2	2020
	Genomic and phenotypic characterization of Streptococcus mutans isolates suggests key gene clusters in regulating its interaction with Streptococcus gordonii.	Liu S, Sun Y, Liu Y, Hu F, Xu L, Zheng Q, Wang Q, Zeng G, Zhang K.	Front Microbiol	10.3389/fmicb.2022.945108	2022
Transcriptome	Gene expression of bacterial collagenolytic proteases in root caries.	Dame-Teixeira N, Parolo CCF, Maltz M, Rup AG, Devine DA, Do T.	J Oral Microbiol	10.1080/20002297.2018.1424475	2018
	Maternal diet alters human milk oligosaccharide composition with implications for the milk metagenome.	Seferovic MD, Mohammad M, Pace RM, Engevik M, Versalovic J, Bode L, Haymond M, Aagaard KM.	Sci Rep	10.1038/s41598-020-79022-6	2020
Metabolism	Differential Utilization of Basic Proline-Rich Glycoproteins during Growth of Oral Bacteria in Saliva.	Zhou Y, Yang J, Zhang L, Zhou X, Cisar JO, Palmer RJ.	Appl Environ Microbiol	10.1128/aem.01111-16	2016
Metabolism	Unravelling the Reduction Pathway as an Alternative Metabolic Route to Hydroxycinnamate Decarboxylation in Lactobacillus plantarum.	Santamaria L, Reveron I, Lopez de Felipe F, de Las Rivas B, Munoz R.	Appl Environ Microbiol	10.1128/aem.01123-18	2018
Pathogenicity	Identification of Anion Channels Responsible for Fluoride Resistance in Oral Streptococci.	Men X, Shibata Y, Takeshita T, Yamashita Y.	PLoS One	10.1371/journal.pone.0165900	2016
	Genome resolved analysis of a premature infant gut microbial community reveals a Varibaculum cambriense genome and a shift towards fermentation-based metabolism during the third week of life.	Brown CT, Sharon I, Thomas BC, Castelle CJ, Morowitz MJ, Banfield JF.	Microbiome	10.1186/2049-2618-1-30	2013
	Characterization of a Signaling System in Streptococcus mitis That Mediates Interspecies Communication with Streptococcus pneumoniae.	Junges R, Sturod K, Salvadori G, Amdal HA, Chen T, Petersen FC.	Appl Environ Microbiol	10.1128/aem.02297-18	2019
Enzymology	Crystal structure of decaprenylphosphoryl-beta- D-ribose 2'-epimerase from Mycobacterium smegmatis.	Li H, Jogl G.	Proteins	10.1002/prot.24220	2013
	TetAB46, a predicted heterodimeric ABC transporter conferring tetracycline resistance in Streptococcus australis isolated from the oral cavity.	Warburton PJ, Ciric L, Lerner A, Seville LA, Roberts AP, Mullany P, Allan E.	J Antimicrob Chemother	10.1093/jac/dks351	2013
Metabolism	Comparative genomics and evolution of the amylase-binding proteins of oral streptococci.	Haase EM, Kou Y, Sabharwal A, Liao YC, Lan T, Lindqvist C, Scannapieco FA.	BMC Microbiol	10.1186/s12866-017-1005-7	2017
Genetics	Phylogenomic and MALDI-TOF MS analysis of Streptococcus sinensis HKU4T reveals a distinct phylogenetic clade in the genus Streptococcus.	Teng JL, Huang Y, Tse H, Chen JH, Tang Y, Lau SK, Woo PC.	Genome Biol Evol	10.1093/gbe/evu232	2014
Phylogeny	Comparative genomics analysis of Streptococcus isolates from the human small intestine reveals their adaptation to a highly dynamic ecosystem.	Van den Bogert B, Boekhorst J, Herrmann R, Smid EJ, Zoetendal EG, Kleerebezem M.	PLoS One	10.1371/journal.pone.0083418	2013
Phylogeny	Phylogenomics and the dynamic genome evolution of the genus Streptococcus.	Richards VP, Palmer SR, Pavinski Bitar PD, Qin X, Weinstock GM, Highlander SK, Town CD, Burne RA, Stanhope MJ.	Genome Biol Evol	10.1093/gbe/evu048	2014
Enzymology	pH gradient and distribution of streptococci, lactobacilli, prevotellae, and fusobacteria in carious dentine.	Kianoush N, Nguyen KA, Browne GV, Simonian M, Hunter N.	Clin Oral Investig	10.1007/s00784-013-1009-0	2014
	Comparative Analysis of the Composition and Active Property Evaluation of Certain Essential Oils to Assess their Potential Applications in Active Food Packaging.	Vasile C, Sivertsvik M, Mitelut AC, Brebu MA, Stoleru E, Rosnes JT, Tanase EE, Khan W, Pamfil D, Cornea CP, Irimia A, Popa ME.	Materials (Basel)	10.3390/ma10010045	2017
	The prevalence of species and strains in the human microbiome: a resource for experimental efforts.	Kraal L, Abubucker S, Kota K, Fischbach MA, Mitreva M.	PLoS One	10.1371/journal.pone.0097279	2014
Phylogeny	Serotyping of Streptococcus pneumoniae based on capsular genes polymorphisms.	Raymond F, Boucher N, Allary R, Robitaille L, Lefebvre B, Tremblay C, Corbeil J, Gervaix A.	PLoS One	10.1371/journal.pone.0076197	2013
Phylogeny	Molecular characterization of subject-specific oral microflora during initial colonization of enamel.	Diaz PI, Chalmers NI, Rickard AH, Kong C, Milburn CL, Palmer RJ, Kolenbrander PE.	Appl Environ Microbiol	10.1128/aem.72.4.2837-2848.2006	2006
	Streptococcus salivarius fimbriae are composed of a glycoprotein containing a repeated motif assembled into a filamentous nondissociable structure.	Levesque C, Vadeboncoeur C, Chandad F, Frenette M.	J Bacteriol	10.1128/jb.183.9.2724-2732.2001	2001
Enzymology	Rapid concentration and molecular enrichment approach for sensitive detection of Escherichia coli and Shigella species in potable water samples.	Maheux AF, Bissonnette L, Boissinot M, Bernier JL, Huppe V, Picard FJ, Berube E, Bergeron MG.	Appl Environ Microbiol	10.1128/aem.02337-10	2011
Enzymology	Diversity of anaerobic microbes in spacecraft assembly clean rooms.	Probst A, Vaishampayan P, Osman S, Moissl-Eichinger C, Andersen GL, Venkateswaran K.	Appl Environ Microbiol	10.1128/aem.02167-09	2010
Pathogenicity	New real-time PCR assay for rapid detection of methicillin-resistant Staphylococcus aureus directly from specimens containing a mixture of staphylococci.	Huletsky A, Giroux R, Rossbach V, Gagnon M, Vaillancourt M, Bernier M, Gagnon F, Truchon K, Bastien M, Picard FJ, van Belkum A, Ouellette M, Roy PH, Bergeron MG.	J Clin Microbiol	10.1128/jcm.42.5.1875-1884.2004	2004
Phylogeny	Genomic Characterization and Comparative Analysis of Streptococcus zhangguiae sp. nov. Isolated from the Respiratory Tract of Marmota Himalayana.	Yang C, Ma J, Zhou H, Yang J, Pu J, Lu S, Jin D, Liu L, Dong K, Xu J.	J Microbiol	10.1007/s12275-024-00177-2	2024
Phylogeny	Isolation and characterization of Streptococcus respiraculi sp. nov. from Marmota himalayana (Himalayan marmot) respiratory tract.	Niu L, Hu S, Lu S, Lai XH, Yang J, Jin D, Rao L, Lu G, Xu J.	Int J Syst Evol Microbiol	10.1099/ijsem.0.002806	2018
Phylogeny	Paenalcaligenes suwonensis sp. nov., isolated from spent mushroom compost.	Moon JY, Lim JM, Ahn JH, Weon HY, Kwon SW, Kim SJ.	Int J Syst Evol Microbiol	10.1099/ijs.0.058412-0	2014
Phylogeny	Paenalcaligenes hermetiae sp. nov., isolated from the larval gut of Hermetia illucens (Diptera: Stratiomyidae), and emended description of the genus Paenalcaligenes.	Lee YY, Lee JK, Park KH, Kim SY, Roh SW, Lee SB, Choi Y, Lee SJ.	Int J Syst Evol Microbiol	10.1099/ijs.0.049098-0	2013
Genetics	Noncontiguous finished genome sequence and description of Streptococcus timonensis sp. nov. isolated from the human stomach.	Ricaboni D, Mailhe M, Lagier JC, Michelle C, Armstrong N, Bittar F, Vitton V, Benezech A, Raoult D, Million M.	New Microbes New Infect	10.1016/j.nmni.2016.11.013	2017
Phylogeny	Streptococcus xiaochunlingii sp. nov. E24 Isolated From the Oropharynx of Healthy Chinese Children.	Zou Y, Sun Y, Qi H, Liu D, Tian H, Wang N, Li X	Front Microbiol	10.3389/fmicb.2020.563213	2020
Phylogeny	Streptococcus koreensis sp. nov., Isolated from Human Subgingival Dental Plaque of Periodontitis Lesion.	Lim YK, Park SN, Shin JH, Ji S, Jo E, Chang YH, Shin Y, Paek J, Kim H, Kook JK	Curr Microbiol	10.1007/s00284-019-01778-6	2019
Phylogeny	Streptococcusmarmotae sp. nov., isolated from the respiratory tract of Marmota himalayana.	Niu L, Lu S, Hu S, Jin D, Lai X, Yang J, Chen C, Wang Y, Wang Y, Bai X, Lan R, Lv G, Xie Y, Ye C, Xu J	Int J Syst Evol Microbiol	10.1099/ijsem.0.001350	2016
Phylogeny	Streptococcus parasanguis sp. nov., an atypical viridans Streptococcus from human clinical specimens.	Whiley RA, Fraser HY, Douglas CW, Hardie JM, Williams AM, Collins MD	FEMS Microbiol Lett	10.1111/j.1574-6968.1990.tb04133.x	1990

References

#2812	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 6778
#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 )
#34689	; Curators of the CIP;
#50067	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 30417
#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) .
#67771	Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC;
#68381	Automatically annotated from API rID32STR .
#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 .
#121590	Collection of Institut Pasteur ; Curators of the CIP; CIP 104372
#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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Streptococcus parasanguinis (CCUG 30417, LMG 14537, KCTC 15406)

Name and taxonomic classification

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