Helicobacter pylori (DSM 105292, G27)

Name: Helicobacter pylori (DSM 105292, G27)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 157648

Type strain

Strain Designation G27

Culture col. no. DSM 105292 G27

NCBI tax ID(s) 210

Special Collections DSMZ DZIF

History <- M. Gerhard, Institut für Medizinische Mikrobiologie, Immunologie und Hygiene,Technische Universität München <- N. Figura, Univ. Siena, Italy

Links

Helicobacter pylori G27 is a mesophilic prokaryote that was isolated from clinical isolate.

mesophilic genome sequence

Name and taxonomic classification

SI-ID 401537

DSM 105292

@ref 20215

Last LPSN update 2026-02-09 11:38:07

Domain Bacteria

Phylum Pseudomonadota

Class Epsilonproteobacteria

Order Campylobacterales

Family Helicobacteraceae

Genus Helicobacter

Species Helicobacter pylori

Full scientific name Helicobacter pylori (Marshall et al. 1985) Goodwin et al. 1989

Synonyms (3)

Helicobacter nemestrinae
Campylobacter pylori
Campylobacter pyloridis

BacDive ID	Other strains from **Helicobacter pylori** (69)	Type strain
6102	H. pylori RPH 13487, CCUG 15815, LMG 7540, CIP 103995, ... (type strain)
6099	H. pylori T81213-NTB, T81123-NTB, DSM 7492, ATCC 49396, ...
6100	H. pylori Göteborg 113, DSM 9691, CCUG 21658
6101	H. pylori RPH 13491, DSM 10242, NCTC 11638, CCUG 17875, ...
24099	H. pylori ASTRA J99, J99, DSM 28160, CCUG 47164, ATCC ...
135116	H. pylori 85P, CIP 104086, JCM 12095
135395	H. pylori N6, CIP 104085, JCM 12094
135934	H. pylori 26695, CIP 106780, JCM 12097
137187	H. pylori CGLO-1, CIP 101260, JCM 12092, CCUG 18943, ...
142935	H. pylori CCUG 15815 B
142936	H. pylori CCUG 15816 B, LMG 8773
142937	H. pylori CCUG 15817
142938	H. pylori CCUG 15818, ATCC 43629, NCTC 11639, LMG 8927, ...
143086	H. pylori CCUG 17135, CCUG 17073
143299	H. pylori CCUG 18295
143328	H. pylori CCUG 18430
143425	H. pylori CCUG 19087
143430	H. pylori CCUG 19104
143431	H. pylori CCUG 19106, LMG 8775
143432	H. pylori CCUG 19107
143433	H. pylori CCUG 19110
143627	H. pylori CCUG 20649
143831	H. pylori CCUG 21365
143840	H. pylori CCUG 21460
143952	H. pylori CCUG 22032
143953	H. pylori CCUG 22035
143954	H. pylori CCUG 22036
143955	H. pylori CCUG 22037
143964	H. pylori CCUG 22110
143980	H. pylori CCUG 22225, LMG 8164
144370	H. pylori CCUG 24780
146346	H. pylori CCUG 30985
146347	H. pylori CCUG 30986
146348	H. pylori CCUG 30987
146349	H. pylori CCUG 30988
146350	H. pylori CCUG 30989
146351	H. pylori CCUG 30990
146352	H. pylori CCUG 30992
146353	H. pylori CCUG 30993
146354	H. pylori CCUG 30994
146462	H. pylori CCUG 31209
148598	H. pylori CCUG 35689
148752	H. pylori CCUG 35899
148764	H. pylori CCUG 35914
149009	H. pylori CCUG 36718
149010	H. pylori CCUG 36719
149969	H. pylori CCUG 38770
149970	H. pylori CCUG 38771
149971	H. pylori CCUG 38772
150213	H. pylori CCUG 39297
150435	H. pylori CCUG 39924
150675	H. pylori CCUG 41936, ATCC 700392, NCTC 12455
152974	H. pylori CCUG 48166
156766	H. pylori CCUG 64957
157640	H. pylori 82894, DSM 105195
157641	H. pylori 85107, DSM 105196
157642	H. pylori 87041, DSM 105197
157643	H. pylori 86298, DSM 105198
157644	H. pylori 85369, DSM 105199
157645	H. pylori 85592, DSM 105200
157646	H. pylori 86153, DSM 105260
157647	H. pylori 83321, DSM 105261
157649	H. pylori J166, DSM 105293
157650	H. pylori PMSS1, DSM 105294
157651	H. pylori 2808, DSM 105296
157652	H. pylori Sydney strain, SS1, DSM 105297
157653	H. pylori Tx30, DSM 105400, ATCC 51932
157654	H. pylori 85593, DSM 105470
157655	H. pylori 85866, DSM 105471

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	98.341
125439	negative	96.2

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
64217	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
64217	positive	growth	37	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	microaerophile	95.1

Spore formation

@ref	Spore formation	Confidence
125438		95.363
125439		98.9

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
68373	30089 ChEBI	acetate	-	assimilation	from API CAM
68373	16947 ChEBI	citrate	-	assimilation	from API CAM
68373	606565 ChEBI	hippurate	-	hydrolysis	from API CAM
68373	25115 ChEBI	malate	-	assimilation	from API CAM
68373	17272 ChEBI	propionate	-	assimilation	from API CAM
68373	30031 ChEBI	succinate	-	assimilation	from API CAM
68373	78019 ChEBI	triphenyltetrazolium chloride	+	reduction	from API CAM
68373	16199 ChEBI	urea	+	hydrolysis	from API CAM

Antibiotic resistance

@ref	ChEBI	Metabolite	Sensitivity conc.
68373	474053	cefazolin	224 µg	from API CAM
68373	48923	erythromycin	14 µg	from API CAM
68373	100147	nalidixic acid	84 µg	from API CAM

Metabolite production

@ref	Chebi-ID	Metabolite	Production
68373	16136 ChEBI	hydrogen sulfide		from API CAM

Enzymes

@ref	Value	Activity	Ec
68373	alkaline phosphatase	+	3.1.3.1	from API CAM
68373	catalase	+	1.11.1.6	from API CAM
68373	esterase	-		from API CAM
68373	gamma-glutamyltransferase	+	2.3.2.2	from API CAM
68373	L-arginine arylamidase	-		from API CAM
68373	L-aspartate arylamidase	-	3.4.11.21	from API CAM
68373	pyrrolidonyl arylamidase	-	3.4.19.3	from API CAM
68373	urease	+	3.5.1.5	from API CAM

API CAM

@ref	URE	Reduction of nitrateNIT	EsteraseEST	HIP	GGT	TTC	PYRA	L-arginine arylamidaseArgA	L-aspartic acid arylamidaseAspA	PAL	H2S productionH2S	GLU	SUT	NAL	CFZ	ACE	PROP	MLT	CIT	Erythromycin resistance (+) sensitivity (-)ERO	CAT
64217	+	-	-	not determinedn.d.	+	+	-	-	-	+	-	-	-	-	-	-	-	-	-	-	not determinedn.d.
64217	+	+	-	-	+	+	-	-	-	+	-	+	-	-	-	-	-	-	-	-	+

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Infection	#Medical environment	#Clinic
#Infection	#Patient	-
#Infection	#Patient	#Specimen

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
64217	clinical isolate	Grosseto	Italy	ITA	Europe

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
64217	2	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	Helicobacter pylori strain FDAARGOS_1563	complete		210.8697	210	99.6
124043	ASM2073580v1 assembly for Helicobacter pylori FDAARGOS_1563	complete	GCA_020735805	210.8537	210	99.11

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Helicobacter pylori strain FDAARGOS_1563
PATRIC: 210.8697

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.90	no
125439	motility	BacteriaNetⓘ	no	76.00	no
125439	gram_stain	BacteriaNetⓘ	negative	96.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	microaerophile	95.10	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Helicobacter pylori strain FDAARGOS_1563
PATRIC: 210.8697

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.34	no
125438	anaerobic	anaerobicⓘ	no	78.69	no
125438	spore-forming	spore-formingⓘ	no	95.36	no
125438	aerobic	aerobicⓘ	no	91.07	no
125438	thermophilic	thermophileⓘ	no	87.12	yes
125438	flagellated	motile2+ⓘ	no	52.92	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 )
#64217	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 105292
#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) .
#68373	Automatically annotated from API CAM .
#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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