Chryseobacterium zeae (DSM 27623, CCM 8491, LMG 27809)

Name: Chryseobacterium zeae (DSM 27623, CCM 8491, LMG 27809)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 24045

Type strain

Strain Designation JM-1085

Culture col. no. DSM 27623 CCM 8491 LMG 27809 JM-1085 CIP 110648

NCBI tax ID(s) 1416779

Special Collections DSMZ CIP

History <- P. Kämpfer, Justus-Liebig-Universität, Giessen, Germany; JM-1085 <- J. Mcinroy CIP <- 2013, P. Kämpfer, Giessen Univ., Giessen, Germany: strain JM-1085

Links

Chryseobacterium zeae JM-1085 is a mesophilic, Gram-negative, rod-shaped prokaryote that was isolated from surface-sterilized stem of 10-week-old sweet corn .

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

Name and taxonomic classification

SI-ID 390471

LMG 27809,CCM 8491,DSM 27623,CIP 110648

@ref 20215

Last LPSN update 2026-02-09 11:23:52

Domain Bacteria

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Weeksellaceae

Genus Chryseobacterium

Species Chryseobacterium zeae

Full scientific name Chryseobacterium zeae Kämpfer et al. 2014

Synonyms (1)

Epilithonimonas zeae

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
125438			90
125438	negative		96.455
125439	negative		99.7
124023	negative	rod-shaped

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
32771	MEDIUM 72- for trypto casein soja agar		Distilled water make up to (1000.000 ml);Trypto casein soy agar (40.000 g)
20940	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
124023	CIP Medium 72	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
20940	positive	growth	28	mesophilic
32771	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98.7

Spore formation

@ref	Spore formation	Confidence
125438		90.303
125439		97.4

Isolation, sampling and environmental information

Isolation source categories

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

Isolation

@ref	Sample type	Host species	Geographic location	Country	Country ISO 3 Code	Continent
20940	surface-sterilized stem of 10-week-old sweet corn (Zea mays)	Zea mays	Alabama, Macon county, Tallassee, E.V. Smith Research Center, Plant Breeding Unit facility	USA	USA	North America
124023	Environment, Soil sample			United States of America	USA	North America

Taxonmaps

69479

Global distribution of 16S sequence HG738135 (>99% sequence identity) for Chryseobacterium from Microbeatlas

Aquatic Samples	8
Soil Samples	8
Animal Samples	17
Plant Samples	3
Total Samples	36

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
20940	1	Risk group (German classification)
124023	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	IMG-taxon 2695421044 annotated assembly for Epilithonimonas zeae DSM 27623	contig	GCA_900141765	1416779.3	2695421044	1416779	78.99
124043	ASM4265098v1 assembly for Epilithonimonas zeae CCM 8491	contig	GCA_042650985			1416779	78.7
124043	ASM4268416v1 assembly for Epilithonimonas zeae CCM 8491	contig	GCA_042684165			1416779	78.3

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20940	Chryseobacterium zeae partial 16S rRNA gene, type strain JM-1085T	HG738135	1440		1416779
124043	Chryseobacterium zeae strain CCM 8491 16S ribosomal RNA gene, partial sequence.	MT760211	1327		1416779

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Epilithonimonas zeae DSM 27623
NCBI: GCA_900141765

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	97.40	no
125439	motility	BacteriaNetⓘ	no	73.30	no
125439	gram_stain	BacteriaNetⓘ	negative	99.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Chryseobacterium zeae strain DSM 27623
PATRIC: 1416779.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.46	no
125438	anaerobic	anaerobicⓘ	no	99.23	no
125438	spore-forming	spore-formingⓘ	no	90.30	no
125438	aerobic	aerobicⓘ	yes	88.23	no
125438	thermophilic	thermophileⓘ	no	99.43	no
125438	flagellated	motile2+ⓘ	no	90.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Chryseobacterium chungangensis sp. nov., a bacterium isolated from soil of sweet gourd garden.	Huq MA	Arch Microbiol	10.1007/s00203-017-1469-8	2017
Phylogeny	Chryseobacterium solani sp. nov., isolated from field-grown eggplant rhizosphere soil.	Du J, Ngo HTT, Won K, Kim KY, Jin FX, Yi TH	Int J Syst Evol Microbiol	10.1099/ijs.0.000266	2015
Phylogeny	Chryseobacterium polytrichastri sp. nov., isolated from a moss (Polytrichastrum formosum), and emended description of the genus Chryseobacterium.	Chen XY, Zhao R, Chen ZL, Liu L, Li XD, Li YH	Antonie Van Leeuwenhoek	10.1007/s10482-014-0338-6	2014
Phylogeny	Chryseobacterium zeae sp. nov., Chryseobacterium arachidis sp. nov., and Chryseobacterium geocarposphaerae sp. nov. isolated from the rhizosphere environment.	Kampfer P, McInroy JA, Glaeser SP	Antonie Van Leeuwenhoek	10.1007/s10482-013-0101-4	2013

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 )
#20940	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 27623
#32771	; Curators of the CIP;
#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 .
#124023	Collection of Institut Pasteur ; Curators of the CIP; CIP 110648
#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 )

Rate our new design

Content

About us

Chryseobacterium zeae (DSM 27623, CCM 8491, LMG 27809)

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_900141765

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media