Georgenia wutianyii (DSM 106344, CGMCC 1.16428, Z294)

Name: Georgenia wutianyii (DSM 106344, CGMCC 1.16428, Z294)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 159634

Type strain

Strain Designation Z294

Culture col. no. DSM 106344 CGMCC 1.16428 Z294

NCBI tax ID(s) 2585135

Special Collections DSMZ

Links

Georgenia wutianyii Z294 is a mesophilic prokaryote that was isolated from intestinal content of plateau pika.

mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 405366

DSM 106344

@ref 20215

Last LPSN update 2025-12-16 10:08:18

Domain Bacillati

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Allobogoriellaceae

Genus Georgenia

Species Georgenia wutianyii

Full scientific name Georgenia wutianyii Tian et al. 2020

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	positive	97.2

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
66474	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
66474	positive	growth	28	mesophilic

Physiology and metabolism

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host Body Product	#Gastrointestinal tract	#Caecal content
#Host	#Mammals	-

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
66474	intestinal content of plateau pika	Plateau pika	Yushu City, QingHai Province	China	CHN	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM634936v1 assembly for Georgenia wutianyii Z294	complete	GCA_006349365	2585135.3	2883927181	2585135	99.02

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
66474	Georgenia wutianyii strain Z294 16S ribosomal RNA gene, partial sequence	MN020372	1391		2585135

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Georgenia wutianyii Z294
NCBI: GCA_006349365

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	75.40	no
125439	motility	BacteriaNetⓘ	no	66.60	no
125439	gram_stain	BacteriaNetⓘ	positive	97.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	88.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Georgenia wutianyii Z294
NCBI: GCA_006349365.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	89.39	no
125438	anaerobic	anaerobicⓘ	no	90.71	no
125438	aerobic	aerobicⓘ	yes	67.73	no
125438	spore-forming	spore-formingⓘ	no	69.63	no
125438	thermophilic	thermophileⓘ	no	96.50	yes
125438	flagellated	motile2+ⓘ	no	62.87	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Georgenia wutianyii sp. nov. and Georgenia yuyongxinii sp. nov. isolated from plateau pika (Ochotona curzoniae) on the Qinghai-Tibet plateau of China.	Tian Z, Zhang D, Lu S, Jin D, Yang J, Pu J, Lai XH, Huang Y, Lei W, Zhang S, Li J, Dong K, Wang S, Xu J	Int J Syst Evol Microbiol	10.1099/ijsem.0.004042	2020

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 )
#66474	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 106344
#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) .
#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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Georgenia wutianyii (DSM 106344, CGMCC 1.16428, Z294)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_006349365

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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