Sutcliffiella horikoshii (DSM 9711, PN 119, 874 X)

Name: Sutcliffiella horikoshii (DSM 9711, PN 119, 874 X)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 1143

Type strain

Strain Designation PN 119, 874 X

Culture col. no. DSM 9711 PN 119 874 X

NCBI tax ID(s) 79883

Special Collections DSMZ

History DSMZ <- H. Outtrup, Novo Nordisk A/S; 874 X

Links

Sutcliffiella horikoshii PN 119 is a bacterium of the family Bacillaceae.

Bacteria

Name and taxonomic classification

SI-ID 48677

DSM 9711

@ref 20215

Last LPSN update 2026-05-29 08:25:11

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Bacillaceae

Genus Sutcliffiella

Species Sutcliffiella horikoshii

Full scientific name Sutcliffiella horikoshii (Nielsen et al. 1995) Gupta et al. 2020

Synonyms (1)

Bacillus horikoshii

BacDive ID	Other strains from **Sutcliffiella horikoshii** (3)	Type strain
1142	S. horikoshii PN 121, JP 277, DSM 8719, ATCC 700161, CIP ... (type strain)
1141	S. horikoshii PB 19, DSM 6951
1144	S. horikoshii PN 122, MHas96, DSM 9712

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	99.75

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
3698	ALKALINE NUTRIENT AGAR (DSMZ Medium 31)		Medium recipe at MediaDive	Name: ALKALINE NUTRIENT AGAR (DSMZ Medium 31; with strain-specific modifications) Composition: Agar 15.0 g/l Na2CO3 anhydrous 5.3 g/l Peptone 5.0 g/l NaCl 5.0 g/l NaHCO3 4.2 g/l Meat extract 3.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
3698	positive	growth	30

Physiology and metabolism

Isolation, sampling and environmental information

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
3698	1	Risk group (German classification) According to TRBA 466

Sequence information

GC content

3698

GC-content (mol%)42.0

Genome-based predictions

Predictions

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Escherichia coli strain PN119
PATRIC: 562.38575

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.75	no
125438	anaerobic	anaerobicⓘ	no	95.96	no
125438	spore-forming	spore-formingⓘ	no	87.00	no
125438	aerobic	aerobicⓘ	no	66.93	no
125438	thermophilic	thermophileⓘ	no	98.50	yes
125438	flagellated	motile2+ⓘ	yes	76.80	no

Literature

References

#3698	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 9711
#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 )
#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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