Escherichia sp. (DSM 109009, Cla-CZ-1)

Name: Escherichia sp. (DSM 109009, Cla-CZ-1)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 160359

Type strain

Strain Designation Cla-CZ-1

Culture col. no. DSM 109009 Cla-CZ-1

NCBI tax ID(s) 2779353

Special Collections DSMZ Chicken DZIF

History DSMZ <- T. Clavel, RWTH Aachen; Cla-CZ-1 <- C. Zenner, LMU, München;

Links

Cla-CZ-1 is a bacterium that was isolated from chicken cecal content, adult.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 407911

DSM 109009

@ref 20215

Last LPSN update 2026-05-29 08:44:25

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Enterobacterales

Family Enterobacteriaceae

Genus Escherichia

Full scientific name Escherichia Castellani and Chalmers 1919 (Approved Lists 1980)

Synonyms (1)

Atlantibacter

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	99.75

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
67265	TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92)		Medium recipe at MediaDive	Name: TRYPTICASE SOY YEAST EXTRACT MEDIUM (DSMZ Medium 92) Composition: Trypticase soy broth 30.0 g/l Agar 15.0 g/l Yeast extract 3.0 g/l Distilled water
67265	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)
67265	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	92.604

Spore formation

@ref	Spore formation	Confidence
125439		98.105

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
67265	chicken cecal content, adult	Munich	Germany	DEU	Europe	48.1502	11.5856 48.1502/11.5856

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1498284v1 assembly for Escherichia sp. DSM 109009	contig	GCA_014982845	2779353.3	8035699417	2779353	69.63

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67265	Escherichia sp. strain ClaCZ1 16S ribosomal RNA gene, partial sequence	MN055927.1	1480		1884818

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1498284v1 assembly for Escherichia sp. DSM 109009
BV-BRC: 2779353.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	gram_stain	BacteriaNetⓘ	negative	83.24	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	92.60	no
125439	motility	BacteriaNetⓘ	yes	51.27	no
125439	spore_formation	BacteriaNetⓘ	no	98.11	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Escherichia sp. DSM 109009
PATRIC: 2779353.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.75	no
125438	anaerobic	anaerobicⓘ	no	96.02	no
125438	spore-forming	spore-formingⓘ	no	87.95	no
125438	thermophilic	thermophileⓘ	no	98.00	no
125438	aerobic	aerobicⓘ	no	59.19	no
125438	flagellated	motile2+ⓘ	yes	76.36	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 )
#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) .
#67265	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 109009
#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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