Leucobacter chinensis (JCM 34651, GDMCC 1.2286, NC76-1)

Name: Leucobacter chinensis (JCM 34651, GDMCC 1.2286, NC76-1)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 169803

Type strain

Strain Designation NC76-1

Culture col. no. JCM 34651 GDMCC 1.2286 NC76-1

NCBI tax ID(s) 2851010

Special Collections JCM

Links

Leucobacter chinensis NC76-1 is a prokaryote of the family Microbacteriaceae.

genome sequence 16S sequence

Name and taxonomic classification

SI-ID 132877

JCM 34651

@ref 20215

Last LPSN update 2026-02-09 11:41:07

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Microbacteriaceae

Genus Leucobacter

Species Leucobacter chinensis

Full scientific name Leucobacter chinensis Zhu et al. 2022

Morphology

Cell morphology

@ref	Motility	Confidence
125438		93.5

Culture and growth conditions

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		96.9

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	ASM1904910v1 assembly for Leucobacter chinensis NC76-1	contig	GCA_019049105	2851010.3	8002811521	2851010	62.61

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Leucobacter chinensis strain NC76-1 16S ribosomal RNA gene, partial sequence	MZ427320	1521		2851010

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Leucobacter chinensis NC76-1
NCBI: GCA_019049105

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	96.90	no
125439	motility	BacteriaNetⓘ	yes	68.40	no
125439	gram_stain	BacteriaNetⓘ	negative	75.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative aerobe	71.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Leucobacter chinensis NC76-1
NCBI: GCA_019049105.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	85.99	no
125438	anaerobic	anaerobicⓘ	no	95.77	no
125438	aerobic	aerobicⓘ	yes	75.69	no
125438	spore-forming	spore-formingⓘ	no	84.55	no
125438	thermophilic	thermophileⓘ	no	92.06	no
125438	flagellated	motile2+ⓘ	no	93.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Leucobacter chinensis sp. nov., with plant growth-promoting potential isolated from field soil after seven-years continuous maize cropping.	Zhu J, Che J, Jiang X, Ma M, Guan D, Li L, Cao F, Zhao B, Kang Y, Zhao J, Kong D, Zhou Y, Ruan Z, Li J	Int J Syst Evol Microbiol	10.1099/ijsem.0.005417	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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Leucobacter chinensis (JCM 34651, GDMCC 1.2286, NC76-1)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Spore formation

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_019049105

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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