Enterobacter asburiae (DSM 30058, WS 10107)

Name: Enterobacter asburiae (DSM 30058, WS 10107)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 23923

Type strain

Strain Designation WS 10107

Culture col. no. DSM 30058 WS 10107

NCBI tax ID(s) 61645

Special Collections DSMZ

History <- Bakteriologisches Institut der Sueddeutschen Versuchs- und Forschungsanstalt fuer Milchwirtschaft, Freising-Weihenstephan, Germany; WS 10107

Links

Enterobacter asburiae WS 10107 is a bacterium that was isolated from chicken.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 113618

DSM 30058

@ref 20215

Last LPSN update 2026-02-09 11:23:50

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Enterobacterales

Family Enterobacteriaceae

Genus Enterobacter

Species Enterobacter asburiae

Full scientific name Enterobacter asburiae Brenner et al. 1988

Synonyms (1)

Enterobacter muelleri

BacDive ID	Other strains from **Enterobacter asburiae** (18)	Type strain
4374	E. asburiae DSM 17506, ATCC 35953, CCUG 25714, CDC 1497-78, ... (type strain)
131504	E. asburiae JM-458, DSM 29346, CCM 8546, CIP 110826, ...
134474	E. asburiae 94-8752, CIP 105006
134475	E. asburiae 93-8128, CIP 105007
135170	E. asburiae CIP 66.35
136798	E. asburiae CIP 105879
137591	E. asburiae CIP 79.33
143707	E. asburiae CCUG 21119
144150	E. asburiae CCUG 23173
145793	E. asburiae CCUG 29600
146247	E. asburiae CCUG 30699
146248	E. asburiae CCUG 30700
147475	E. asburiae CCUG 33652
149587	E. asburiae CCUG 38016
152070	E. asburiae CCUG 45687
155486	E. asburiae CCUG 57855
159472	E. asburiae WB01-D5-07-AE, DSM 105330
160605	E. asburiae 105851, DSM 105851

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	98
125439	negative	99.1

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
20552	NUTRIENT AGAR (DSMZ Medium 1)		Medium recipe at MediaDive	Name: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
20552	positive	growth	30

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125438		90.104
125439		97.4

Compound production

20552

Compoundurease

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Birds	#Chicken

Isolation

20552

Sample typechicken

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
20552	1	Risk group (German classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
124043	ASM1640318v1 assembly for Enterobacter asburiae FDAARGOS_1056	chromosome	GCA_016403185	61645.359	61645	87.07

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Enterobacter asburiae strain FDAARGOS_1056
PATRIC: 61645.359

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	97.40	no
125439	motility	BacteriaNetⓘ	yes	62.70	no
125439	gram_stain	BacteriaNetⓘ	negative	99.10	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	89.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Enterobacter asburiae strain FDAARGOS_1056 strain Not applicable
PATRIC: 61645.359

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.00	no
125438	anaerobic	anaerobicⓘ	no	94.93	no
125438	spore-forming	spore-formingⓘ	no	90.10	no
125438	thermophilic	thermophileⓘ	no	99.50	yes
125438	aerobic	aerobicⓘ	no	65.51	no
125438	flagellated	motile2+ⓘ	yes	78.79	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 )
#20552	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 30058
#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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