Peptoniphilus stercorisuis (DSM 27563, KCTC 15513, NBRC 109839)

Name: Peptoniphilus stercorisuis (DSM 27563, KCTC 15513, NBRC 109839)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 130836

Type strain

Strain Designation SF-S1

Culture col. no. DSM 27563 KCTC 15513 NBRC 109839 CCUG 64570 SF-S1

NCBI tax ID(s) 1436965

Special Collections DSMZ CCUG KCTC

History <- C. Johnson, Dept. Microbiol. and Plant Biology, Univ. Oklahoma, USA; SF-S1 <- DSM <- C Johnson, Dept. Microbiol. and Plant Biology, Univ. Oklahoma, USA, SF-S1

Links

Peptoniphilus stercorisuis SF-S1 is an anaerobe, mesophilic, coccus-shaped prokaryote that was isolated from swine manure storage tank.

coccus-shaped anaerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 396837

KCTC 15513,DSM 27563,CCUG 64570T

@ref 20215

Last LPSN update 2026-02-09 11:31:19

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Tissierellales

Family Peptoniphilaceae

Genus Peptoniphilus

Species Peptoniphilus stercorisuis

Full scientific name Peptoniphilus stercorisuis Johnson et al. 2014

Morphology

Cell morphology

@ref	Cell shape	Motility	Gram stain
67771	coccus-shaped
67771			positive

Colony morphology

63135

Incubation period2 days

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
21725	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

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
21725	positive	growth	37	mesophilic
63135	positive	growth	37	mesophilic
67771	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
21725	anaerobe
63135	anaerobe
67771	anaerobe
125438	anaerobe	95.761
125439	anaerobe	97.1

Spore formation

67771

Spore formationno

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	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	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
21725	-	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	+	-	-	+/-	+	-	+	-	+/-	+/-	-	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Built environment	#Container (Reservoir)
#Host	#Mammals	#Suidae (Pig,Swine)
#Host Body Product	#Gastrointestinal tract	#Feces (Stool)

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
21725	swine manure storage tank		Oklahoma	USA	USA	North America
63135	Swine manure storage	2008-10-01	Oklahoma	USA	USA	North America
67771	From swine manure storage tank		Oklahoma	USA	USA	North America

Taxonmaps

69479

Global distribution of 16S sequence KF705042 (>99% sequence identity) for Peptoniphilus stercorisuis subclade from Microbeatlas

Aquatic Samples	221
Soil Samples	929
Animal Samples	1665
Plant Samples	49
Total Samples	2864

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1787439v1 assembly for Peptoniphilus stercorisuis DSM 27563	contig	GCA_017874395	1436965.3	2913508488	1436965	67.81

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
21725	Peptoniphilus stercorisuis strain DSM 27563 16S ribosomal RNA gene, partial sequence	KF705042	1484		1436965

GC content

@ref	GC-content (mol%)	Method
21725	31.8	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Peptoniphilus stercorisuis DSM 27563
NCBI: GCA_017874395

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	70.10	no
125439	motility	BacteriaNetⓘ	yes	57.90	no
125439	gram_stain	BacteriaNetⓘ	positive	85.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	97.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Peptoniphilus stercorisuis strain DSM 27563
PATRIC: 1436965.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	82.13	no
125438	anaerobic	anaerobicⓘ	yes	95.76	no
125438	spore-forming	spore-formingⓘ	no	72.74	yes
125438	aerobic	aerobicⓘ	no	98.67	yes
125438	thermophilic	thermophileⓘ	no	87.50	yes
125438	flagellated	motile2+ⓘ	no	86.64	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
	Anaerococcus ihuae sp. nov. and Mediannikoviicoccus vaginalis gen. nov., sp. nov., two new bacteria isolated from human vaginal samples.	Ly C, Abou Chacra L, Birsal E, Haddad G, Lo CI, Amstrong N, Alibar S, Courbiere B, Bretelle F, Fenollar F.	Arch Microbiol	10.1007/s00203-022-03082-7	2022
Phylogeny	Peptoniphilus stercorisuis sp. nov., isolated from a swine manure storage tank and description of Peptoniphilaceae fam. nov.	Johnson CN, Whitehead TR, Cotta MA, Rhoades RE, Lawson PA	Int J Syst Evol Microbiol	10.1099/ijs.0.058941-0	2014

References

#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 )
#21725	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 27563
#63135	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 64570
#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;
#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 .
#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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Peptoniphilus stercorisuis (DSM 27563, KCTC 15513, NBRC 109839)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Metabolite production

Metabolite tests

Enzymes

API rID32A

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_017874395

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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