Elizabethkingia anophelis (DSM 29660, CCM 8570, CIP 110885)

Name: Elizabethkingia anophelis (DSM 29660, CCM 8570, CIP 110885)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 132124

Type strain

Strain Designation JM-87

Culture col. no. DSM 29660 CCM 8570 CIP 110885 LMG 28604 JM-87

NCBI tax ID(s) 1117645

Special Collections DSMZ CIP

History DSMZ <- P. Kämpfer, Justus-Liebig-Universität, Giessen, Germany; JM-87 <- J. McInroy CIP <- 2014, P. Kämpfer, Giessen Univ., Giessen, Germany: strain JM-87, Elizabethkingia endophytica

Links

Elizabethkingia anophelis JM-87 is a Gram-negative, rod-shaped bacterium that was isolated from healthy internal stem tissue of 10 day-old sweet corn .

Gram-negative rod-shaped genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 396492

LMG 28604,CCM 8570,CIP 110885,DSM 29660

@ref 20215

Last LPSN update 2026-05-29 08:37:47

Domain Bacteria

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,
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	Confidence	Cell shape
125439	negative	99.188
125438		91.5
125438	negative	99
116397	negative		rod-shaped

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
23914	CASO AGAR (MERCK 105458) (DSMZ Medium 220)		Medium recipe at MediaDive	Name: CASO AGAR (Merck 105458) (DSMZ Medium 220) Composition: Agar 15.0 g/l Casein peptone 15.0 g/l NaCl 5.0 g/l Soy peptone 5.0 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
23914	positive	growth	28

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	93.539

Spore formation

@ref	Spore formation	Confidence
125438		90.5
125439		99.519

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Plants	#Herbaceous plants (Grass,Crops)
#Host Body-Site	#Plant	#Stem (Branch)

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
23914	healthy internal stem tissue of 10 day-old sweet corn (Zea mays, cultivar 'Sweet Belle')	Zea mays	Alabama, Macon county, Tallassee, E.V. Smith Research Center	USA	USA	North America
116397	Environment, Rhizosphere		Alabama	United States of America	USA	North America

Taxonmaps

69479

Global distribution of 16S sequence KP113704 (>99% sequence identity) for Elizabethkingia from Microbeatlas

Aquatic Samples	1948
Soil Samples	541
Animal Samples	2810
Plant Samples	300
Total Samples	5599

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
23914	2	Risk group (German classification)
116397	1	Risk group (French classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	IMG accession	NCBI tax ID	Score
66792	ASM202204v1 assembly for Elizabethkingia anophelis JM-87	complete	GCA_002022045		1117645	92.8
66792	ASM202313v1 assembly for Elizabethkingia anophelis JM-87	contig	GCA_002023135	2751185806	1117645	49.12

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
23914	Elizabethkingia anophelis strain JM-87 16S ribosomal RNA gene, partial sequence	KP113704	1428		1117645

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM202313v1 assembly for Elizabethkingia anophelis JM-87
NCBI: GCA_002023135

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	gram_stain	BacteriaNetⓘ	negative	99.19	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	93.54	no
125439	motility	BacteriaNetⓘ	no	78.12	no
125439	spore_formation	BacteriaNetⓘ	no	99.52	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Elizabethkingia anophelis JM-87
NCBI: GCA_002022045.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.00	no
125438	anaerobic	anaerobicⓘ	no	97.14	no
125438	aerobic	aerobicⓘ	yes	89.85	no
125438	spore-forming	spore-formingⓘ	no	90.50	no
125438	thermophilic	thermophileⓘ	no	99.00	no
125438	flagellated	motile2+ⓘ	no	91.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Genetics	Non-canonical LexA proteins regulate the SOS response in the Bacteroidetes.	Sanchez-Osuna M, Cortes P, Lee M, Smith AT, Barbe J, Erill I.	Nucleic Acids Res	10.1093/nar/gkab773	2021
Genetics	Analysis of 1,000 Type-Strain Genomes Improves Taxonomic Classification of Bacteroidetes.	Garcia-Lopez M, Meier-Kolthoff JP, Tindall BJ, Gronow S, Woyke T, Kyrpides NC, Hahnke RL, Goker M.	Front Microbiol	10.3389/fmicb.2019.02083	2019
Phylogeny	Elizabethkingia endophytica sp. nov., isolated from Zea mays and emended description of Elizabethkingia anophelisKampfer et al. 2011.	Kampfer P, Busse HJ, McInroy JA, Glaeser SP	Int J Syst Evol Microbiol	10.1099/ijs.0.000236	2015

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 )
#23914	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 29660
#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) .
#69479	João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta .
#116397	Collection of Institut Pasteur ; Curators of the CIP; CIP 110885
#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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Elizabethkingia anophelis (DSM 29660, CCM 8570, CIP 110885)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_002022045

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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