Paraeggerthella hongkongensis (DSM 110927, RC2/2 A)

Name: Paraeggerthella hongkongensis (DSM 110927, RC2/2 A)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 159452

Type strain

Strain Designation RC2/2 A

Culture col. no. DSM 110927 RC2/2 A

NCBI tax ID(s) 230658

Special Collections DSMZ DZIF

History <- J. Bisanz and P. J. Turnbaugh, University of California, San Francisco, USA;

Links

Paraeggerthella hongkongensis RC2/2 A is a bacterium that was isolated from Rectal Tissue.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 398363

DSM 110927

@ref 20215

Last LPSN update 2026-02-09 11:38:38

Domain Bacteria

Phylum Actinomycetota

Class Coriobacteriia

Order Eggerthellales

Family Eggerthellaceae

Genus Paraeggerthella

Species Paraeggerthella hongkongensis

Full scientific name Paraeggerthella hongkongensis (Lau et al. 2006) Würdemann et al. 2009

Synonyms (1)

Eggerthella hongkongensis

BacDive ID	Other strains from **Paraeggerthella hongkongensis** (1)	Type strain
3074	P. hongkongensis HKU10, DSM 16106, CCUG 49250, JCM 14552, ... (type strain)

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
66275	BHI MEDIUM (DSMZ Medium 215)		Medium recipe at MediaDive	Name: BHI MEDIUM (DSMZ Medium 215; with strain-specific modifications) Composition: Brain heart infusion 37.0 g/l Arginine 10.0 g/l Distilled water
66275	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)
66275	positive	growth	37

Physiology and metabolism

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
66275	-	+	-	-	-	-	-	-	-	-	-	-	+	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body-Site	#Gastrointestinal tract	#Rectum

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
66275	Rectal Tissue	Vancouver, British Columbia	Canada	CAN	North America

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
66275	2	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM334034v1 assembly for Paraeggerthella hongkongensis RC2/2 A	scaffold	GCA_003340345	230658.3	2866200955	230658	41.6

Genome-based predictions

Predictions

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Paraeggerthella hongkongensis RC2/2 A
NCBI: GCA_003340345.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	78.14	no
125438	anaerobic	anaerobicⓘ	yes	86.34	no
125438	aerobic	aerobicⓘ	no	91.23	no
125438	spore-forming	spore-formingⓘ	no	75.69	no
125438	thermophilic	thermophileⓘ	no	93.00	no
125438	flagellated	motile2+ⓘ	no	75.00	no

Literature

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 )
#66275	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 110927
#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) .
#68380	Automatically annotated from API rID32A .
#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 )
#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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