Elizabethkingia anophelis (CIP 111046, 723-81)

Name: Elizabethkingia anophelis (CIP 111046, 723-81)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 139438

Type strain

Strain Designation 723-81

Culture col. no. CIP 111046 723-81

NCBI tax ID(s) 1117645

Special Collections CIP

Links

Elizabethkingia anophelis 723-81 is a mesophilic, Gram-negative, rod-shaped prokaryote of the family Weeksellaceae.

Gram-negative rod-shaped mesophilic genome sequence

Name and taxonomic classification

SI-ID 413946

CIP 111046

@ref 20215

Last LPSN update 2025-12-16 10:03:20

Domain Pseudomonadati

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Weeksellaceae

Genus Elizabethkingia

Species Elizabethkingia anophelis

Full scientific name Elizabethkingia anophelis Kämpfer et al. 2011

Synonyms (2)

Elizabethkingia anophelis subsp. endophytica
Elizabethkingia endophytica

BacDive ID	Other strains from **Elizabethkingia anophelis** (4)	Type strain
100579	E. anophelis SF005912(FSU),
139444	E. anophelis 543-79, CIP 111044
139468	E. anophelis CIP 111067, CIP 200591
176928	E. anophelis Dres_ElizMenigo_01, DSM 105704

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
125438			92
125438	negative		98.455
125439	negative		99.7
41633	negative	rod-shaped

Culture and growth conditions

Culture medium

@ref	Name	Growth	Composition	Medium link
41633	MEDIUM 72- for trypto casein soja agar		Distilled water make up to (1000.000 ml);Trypto casein soy agar (40.000 g)
41633	CIP Medium 72			Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
41633	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125438	aerobe	90.184
125439	aerobe	92.3

Spore formation

@ref	Spore formation	Confidence
125439		98.7

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Isolation date
41633		Paris	France	FRA	Europe
41633	Human, Blood	Paris	France	FRA	Europe	1981-10-28

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
41633	1	Risk group (French classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM90015702v1 assembly for Elizabethkingia anophelis	contig	GCA_900157025	1117645.185	2854764822	1117645	69.23

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Elizabethkingia anophelis Illumina sequencing of Elizabethkingia anophelis CIP111046
NCBI: GCA_900157025

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	92.30	no
125439	gram_stain	BacteriaNetⓘ	negative	99.70	no
125439	motility	BacteriaNetⓘ	no	72.00	no
125439	spore_formation	BacteriaNetⓘ	no	98.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Elizabethkingia anophelis strain Illumina sequencing of Elizabethkingia anophelis CIP111046
PATRIC: 1117645.185

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.46	no
125438	anaerobic	anaerobicⓘ	no	97.56	no
125438	spore-forming	spore-formingⓘ	no	89.50	no
125438	aerobic	aerobicⓘ	yes	90.18	no
125438	thermophilic	thermophileⓘ	no	98.50	yes
125438	flagellated	motile2+ⓘ	no	92.00	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 )
#41633	Collection of Institut Pasteur ; Curators of the CIP; CIP 111046
#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 )

Rate our new design

Content

About us