Cite this strain

Arsukibacterium tuosuense (CGMCC 1.12461, JCM 19264)

Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 162449

Type strain

Culture col. no. CGMCC 1.12461 JCM 19264

NCBI tax ID(s) 1323745

Special Collections JCM

Links

Name and taxonomic classification

Arsukibacterium tuosuense JCM 19264 is a mesophilic, Gram-negative bacterium that was isolated from Saline water from Tuosu Lake in Qaidam Basin.

Gram-negative mesophilic genome sequence 16S sequence Bacteria

Culture Collection Numbers

CGMCC 1.12461 JCM 19264

Last LPSN update 2024-12-09 10:52:32

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order [Gammaproteobacteria, not assigned to order]

Family [Gammaproteobacteria, not assigned to family]

Genus Arsukibacterium

Species Arsukibacterium tuosuense

Full scientific name Arsukibacterium tuosuense (Zhong et al. 2014) Wang et al. 2022

Synonyms (1)

Rheinheimera tuosuensis

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	99
125439	negative	99

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
67770	positive	growth	30	mesophilic

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		96.7

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	97.8

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
67770	Saline water from Tuosu Lake in Qaidam Basin	Qinghai Province	China	CHN	Asia

Safety information

Sequence information

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Arsukibacterium tuosuense strain TS-T4 from China 16S ribosomal RNA gene, partial sequence	KC762310	1496		1323745

Genome sequences

@ref	Description	Accession	Assembly level	Database	NCBI tax ID
66792	Rheinheimera tuosuensis strain CGMCC 1.12461	1323745.3	wgs	PATRIC	1323745
66792	Rheinheimera tuosuensis CGMCC 1.12461	2721755863	draft	JGI IMG/M	1323745
67770	Arsukibacterium tuosuense CGMCC 1.12461	GCA_900215315	contig		1323745

Genome-based predictions

Predictions

Predictions from Diaspora project based on:
Arsukibacterium tuosuense CGMCC 1.12461
NCBI: GCA_900215315

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	96.70	no
125439	motility	BacteriaNetⓘ	yes	80.60	no
125439	gram_stain	BacteriaNetⓘ	negative	99.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	97.80	no

Predictions from Diaspora project based on:
Rheinheimera tuosuensis strain CGMCC 1.12461
PATRIC: 1323745.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.00	no
125438	anaerobic	anaerobicⓘ	no	96.11	no
125438	spore-forming	spore-formingⓘ	no	87.23	no
125438	aerobic	aerobicⓘ	yes	78.69	no
125438	thermophilic	thermophileⓘ	no	96.80	yes
125438	flagellated	motile2+ⓘ	yes	84.90	no

External links

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Rheinheimera tuosuensis sp. nov., isolated from a saline lake.	Zhong ZP, Liu Y, Liu LZ, Wang F, Zhou YG, Liu ZP	Int J Syst Evol Microbiol	10.1099/ijs.0.056473-0	2014
Phylogeny	Arsukibacterium indicum sp. nov., isolated from deep-sea sediment, and transfer of Rheinheimera tuosuensis and Rheinheimera perlucida to the genus Arsukibacterium as Arsukibacterium tuosuense comb. nov. and Arsukibacterium perlucidum comb. nov.	Wang Z, Cheng JH, Zhang XY, Xu F, Fu HH, Li CY, Zhang YZ, Chen XL, Song XY, Zhang XY	Int J Syst Evol Microbiol	10.1099/ijsem.0.005455	2022

Culture collection no.

Culture collection no.
CGMCC 1.12461
JCM 19264

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) .
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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 .

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