Lysobacter ciconiae (KCTC 82316, JCM 34832, H21R20)

Name: Lysobacter ciconiae (KCTC 82316, JCM 34832, H21R20)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 170013

Type strain

Strain Designation H21R20

Culture col. no. KCTC 82316 JCM 34832 H21R20

NCBI tax ID(s) 2781022

Special Collections JCM KCTC

Links

Lysobacter ciconiae H21R20 is a prokaryote of the family Lysobacteraceae.

genome sequence 16S sequence

Name and taxonomic classification

SI-ID 284460

CCUG 74774T,KCTC 82316,JCM 34832

@ref 20215

Last LPSN update 2025-12-16 10:10:43

Domain Pseudomonadati

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Lysobacterales

Family Lysobacteraceae

Genus Lysobacter

Species Lysobacter ciconiae

Full scientific name Lysobacter ciconiae Lee et al. 2022

Synonyms (1)

Novilysobacter ciconiae

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	98.994
125439	negative	99.6

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98.4

Spore formation

@ref	Spore formation	Confidence
125439		98.9
125438		90.665

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM1520972v1 assembly for Novilysobacter ciconiae H21R20	complete	GCA_015209725	2781022.3	2931097591	2781022	90.27

Genome browser: GCA_015209725

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Lysobacter ciconiae strain H21R20 16S ribosomal RNA gene, partial sequence	MT764981	1484		2781022

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Lysobacter ciconiae H21R20
NCBI: GCA_015209725

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.90	no
125439	motility	BacteriaNetⓘ	yes	80.30	no
125439	gram_stain	BacteriaNetⓘ	negative	99.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Lysobacter ciconiae H21R20
NCBI: GCA_015209725.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.99	no
125438	anaerobic	anaerobicⓘ	no	95.88	no
125438	aerobic	aerobicⓘ	yes	82.48	no
125438	spore-forming	spore-formingⓘ	no	90.67	no
125438	thermophilic	thermophileⓘ	no	89.08	no
125438	flagellated	motile2+ⓘ	no	52.89	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Lysobacter ciconiae sp. nov., and Lysobacter avium sp. nov., isolated from the faeces of an Oriental stork.	Lee SY, Kim PS, Sung H, Hyun DW, Bae JW	J Microbiol	10.1007/s12275-022-1647-5	2022

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) .
#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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Lysobacter ciconiae (KCTC 82316, JCM 34832, H21R20)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_015209725

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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