Ruania zhangjianzhongii (HY168, CGMCC 1.16970, JCM 33465)

Name: Ruania zhangjianzhongii (HY168, CGMCC 1.16970, JCM 33465)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 167557

Type strain

Strain Designation HY168

Culture col. no. HY168 CGMCC 1.16970 JCM 33465

NCBI tax ID(s) 2603206

Special Collections JCM

Links

Ruania zhangjianzhongii HY168 is a bacterium of the family Ruaniaceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 131875

JCM 33465

@ref 20215

Last LPSN update 2026-05-29 08:46:10

Domain Bacteria

Phylum Actinomycetota

Class Actinomycetes

Order Micrococcales

Family Ruaniaceae

Genus Ruania

Species Ruania zhangjianzhongii

Full scientific name Ruania zhangjianzhongii Xu et al. 2021

Morphology

Cell morphology

@ref	Confidence	Gram stain
125439	93.193
125439	97.39	positive
125438	92.552	positive
125438	92.5

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	97.283

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	ASM800099v1 assembly for Ruania zhangjianzhongii HY168	complete	GCA_008000995	2603206.3	2883540618	2603206	98.44

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Ruania zhangjianzhongii strain HY168 16S ribosomal RNA gene, partial sequence	MK691596	1495		2603206

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM800099v1 assembly for Ruania zhangjianzhongii HY168
NCBI: GCA_008000995

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	motility	BacteriaNetⓘ	no	93.19	no
125439	gram_stain	BacteriaNetⓘ	positive	97.39	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.28	no
125439	spore_formation	BacteriaNetⓘ	yes	54.09	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Ruania zhangjianzhongii HY168
NCBI: GCA_008000995.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	92.55	no
125438	anaerobic	anaerobicⓘ	no	94.61	no
125438	aerobic	aerobicⓘ	yes	85.48	no
125438	spore-forming	spore-formingⓘ	no	71.48	no
125438	thermophilic	thermophileⓘ	no	92.55	no
125438	flagellated	motile2+ⓘ	no	92.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Identification of Haloactinobacterium kanbiaonis sp. nov. and Ruania zhangjianzhongii sp. nov., two novel species of the family Ruaniaceae isolated from faeces of bats (Hipposideros spp.).	Xu M, Dai Y, Huang Y, Yang J, Lai XH, Jin D, Lu S, Zhou J, Zhang S, Bai Y, Jiao Y, Qiao L, Jiang Y, Xu J	Int J Syst Evol Microbiol	10.1099/ijsem.0.004953	2021

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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Ruania zhangjianzhongii (HY168, CGMCC 1.16970, JCM 33465)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_008000995

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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