Sinomicrobium weinanense (KCTC 72740, FJxs, CCTCC AB 2019251)

Name: Sinomicrobium weinanense (KCTC 72740, FJxs, CCTCC AB 2019251)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 170185

Type strain

Strain Designation FJxs

Culture col. no. KCTC 72740 FJxs CCTCC AB 2019251

NCBI tax ID(s) 2842200

Special Collections KCTC

Links

Sinomicrobium weinanense FJxs is a bacterium of the family Flavobacteriaceae.

genome sequence Bacteria

Name and taxonomic classification

SI-ID 27561

KCTC 72740

@ref 20215

Last LPSN update 2026-05-29 08:46:47

Domain Bacteria

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Flavobacteriaceae

Genus Sinomicrobium

Species Sinomicrobium weinanense

Full scientific name Sinomicrobium weinanense Wu et al. 2022

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	96.083
125438		95.5
125439	negative	98.98

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	91.743

Spore formation

@ref	Spore formation	Confidence
125439		99.84

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	ASM1886339v1 assembly for Sinomicrobium weinanense FJxs	scaffold	GCA_018863395	2842200.3	8063512488	2842200	72.86
66792	ASM1451836v1 assembly for Sinomicrobium weinanense FJxs	contig	GCA_014518365	2842200.4	2920222522	2842200	44.22

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1886339v1 assembly for Sinomicrobium weinanense FJxs
NCBI: GCA_018863395

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.84	no
125439	motility	BacteriaNetⓘ	no	76.54	no
125439	gram_stain	BacteriaNetⓘ	negative	98.98	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	91.74	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Sinomicrobium weinanense FJxs
NCBI: GCA_018863395.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.08	no
125438	anaerobic	anaerobicⓘ	no	97.19	no
125438	aerobic	aerobicⓘ	yes	87.32	no
125438	spore-forming	spore-formingⓘ	no	87.83	no
125438	thermophilic	thermophileⓘ	no	99.23	no
125438	flagellated	motile2+ⓘ	no	95.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Sinomicrobium weinanense sp. nov., a halophilic bacterium isolated from saline-alkali soil.	Wu P, Ren H, Zhu Q, Mei Y, Liang Y, Chen Z	Int J Syst Evol Microbiol	10.1099/ijsem.0.005282	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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Sinomicrobium weinanense (KCTC 72740, FJxs, CCTCC AB 2019251)

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_018863395

Genome-based predictions

Predictions

Literature

Literature

References

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