Elizabethkingia meningoseptica (CIP 111048, 928-82)

Name: Elizabethkingia meningoseptica (CIP 111048, 928-82)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 139439

Type strain

Strain Designation 928-82

Culture col. no. CIP 111048 928-82

NCBI tax ID(s) 238

Special Collections CIP

History CIP <- 1982, Inst. Pasteur, Paris, France: strain 928-82 <- 1982, La Beauchée Hosp., Saint Brieuc, France, Flavobacterium meningosepticum

Links

Elizabethkingia meningoseptica 928-82 is a Gram-negative, rod-shaped bacterium of the family Weeksellaceae.

Gram-negative rod-shaped genome sequence Bacteria

Name and taxonomic classification

SI-ID 413224

CIP 111048

@ref 20215

Last LPSN update 2026-05-29 08:39:29

Domain Bacteria

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Weeksellaceae

Genus Elizabethkingia

Species Elizabethkingia meningoseptica

Full scientific name Elizabethkingia meningoseptica (King 1959) Kim et al. 2005

Synonyms (2)

Flavobacterium meningosepticum
Chryseobacterium meningosepticum

BacDive ID	Other strains from **Elizabethkingia meningoseptica** (75)	Type strain
5506	E. meningoseptica 14 (serotype A), DSM 2800, ATCC 13253, IAM ... (type strain)
134620	E. meningoseptica CIP 60.59, ATCC 13255, NCTC 10586
134866	E. meningoseptica 40-78, CIP 79.5, NCTC 11306
134960	E. meningoseptica 34.87, CIP 102787
135151	E. meningoseptica 371.81, CIP 103064
135787	E. meningoseptica 30-78, CIP 78.45
135804	E. meningoseptica 37-75, CIP 79.29, NCTC 11309, CCUG 16478
135812	E. meningoseptica 58-80, CIP 80.33, NCTC 11381
136007	E. meningoseptica CIP 101999
136266	E. meningoseptica AmMS 250, CIP 104057, ATCC 49470
136559	E. meningoseptica PINT, CIP 106814
136963	E. meningoseptica CIP 108652, NTU 870424-IL
136964	E. meningoseptica LDVH AR107, CIP 108654
137541	E. meningoseptica CIP 78.7, NCTC 10587, CCUG 4309
137542	E. meningoseptica 8388, CCUG 4308, CIP 78.8, NCTC 10588
137543	E. meningoseptica 8707, CIP 78.9, NCTC 10589, CCUG 4218, ATCC ...
137583	E. meningoseptica G4071, 13-78, CIP 78.30, NCTC 11305, DSM ...
137592	E. meningoseptica 260-79, CIP 79.35
137696	E. meningoseptica 28-80, CIP 80.32, NCTC 11379
137803	E. meningoseptica 590.76, CIP 102962
138466	E. meningoseptica CIP 60.58, ATCC 13254, NCTC 10585
139441	E. meningoseptica 393-79, CIP 111043
139443	E. meningoseptica 929-82, CIP 111049
141324	E. meningoseptica CCUG 855
141540	E. meningoseptica CCUG 2800 A
141611	E. meningoseptica CCUG 3645
141862	E. meningoseptica CCUG 7924
142086	E. meningoseptica CCUG 10540
142491	E. meningoseptica CCUG 12664 A
142706	E. meningoseptica CCUG 14224, LMG 12874
142707	E. meningoseptica CCUG 14225
142959	E. meningoseptica CCUG 15909
143452	E. meningoseptica CCUG 19227
143630	E. meningoseptica CCUG 20660
143860	E. meningoseptica CCUG 21611
144190	E. meningoseptica CCUG 23419
144255	E. meningoseptica CCUG 23973
144372	E. meningoseptica CCUG 24787
144555	E. meningoseptica CCUG 25659
144656	E. meningoseptica CCUG 26117, ATCC 51720
145442	E. meningoseptica CCUG 28552
145770	E. meningoseptica CCUG 29546 A
145842	E. meningoseptica CCUG 29764
145854	E. meningoseptica CCUG 29795
146157	E. meningoseptica CCUG 30473
146691	E. meningoseptica CCUG 31955
146906	E. meningoseptica CCUG 32413
146971	E. meningoseptica CCUG 32575
147012	E. meningoseptica CCUG 32643
147386	E. meningoseptica CCUG 33506
147645	E. meningoseptica CCUG 33943
147700	E. meningoseptica CCUG 34034
147839	E. meningoseptica CCUG 34344
147952	E. meningoseptica CCUG 34573
148581	E. meningoseptica CCUG 35667
148801	E. meningoseptica CCUG 35954
149199	E. meningoseptica CCUG 37255
149550	E. meningoseptica CCUG 37945
150038	E. meningoseptica CCUG 38902
150211	E. meningoseptica CCUG 39291
150266	E. meningoseptica CCUG 39437
150478	E. meningoseptica CCUG 41404
150611	E. meningoseptica CCUG 41754
150792	E. meningoseptica CCUG 42353
150888	E. meningoseptica CCUG 42630
153904	E. meningoseptica CCUG 51574
157096	E. meningoseptica CCUG 69507
157097	E. meningoseptica CCUG 69508
157098	E. meningoseptica CCUG 69509
157104	E. meningoseptica CCUG 69515
157107	E. meningoseptica CCUG 69518
157109	E. meningoseptica CCUG 69520
157110	E. meningoseptica CCUG 69521
157113	E. meningoseptica CCUG 69524
176412	E. meningoseptica Dres_ElizSp_24, DSM 107744

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
41634	negative	rod-shaped
125438			92
125438	negative		98.455
125439	negative		96.485

Culture and growth conditions

Culture medium

@ref	Name	Growth	Composition	Medium link
41634	MEDIUM 72- for trypto casein soja agar		Distilled water make up to (1000.000 ml);Trypto casein soy agar (40.000 g)
41634	CIP Medium 72			Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
41634	positive	growth	30

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	96.747

Spore formation

@ref	Spore formation	Confidence
125439		98.894

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent	Isolation date
41634			Saint Brieuc	France	FRA	Europe
41634	Human, Tracheal sample	Homo sapiens	Saint-Brieuc	France	FRA	Europe	1982-12-13

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
41634	2	Risk group (French classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM90015696v1 assembly for Elizabethkingia meningoseptica	scaffold	GCA_900156965	238.67	2868762916	238	69.81

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM90015696v1 assembly for Elizabethkingia meningoseptica
BV-BRC: 238.67

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	96.75	no
125439	motility	BacteriaNetⓘ	no	80.89	no
125439	gram_stain	BacteriaNetⓘ	negative	96.49	no
125439	spore_formation	BacteriaNetⓘ	no	98.89	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Elizabethkingia meningoseptica Illumina sequencing of Elizabethkingia meningoseptica CIP111048
NCBI: GCA_900156965.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.46	no
125438	anaerobic	anaerobicⓘ	no	97.65	no
125438	aerobic	aerobicⓘ	yes	89.27	no
125438	spore-forming	spore-formingⓘ	no	88.69	no
125438	thermophilic	thermophileⓘ	no	99.00	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 )
#41634	Collection of Institut Pasteur ; Curators of the CIP; CIP 111048
#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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