Sneathiella chungangensis (CCUG 64955, KCTC 32476, CECT 8513)

Name: Sneathiella chungangensis (CCUG 64955, KCTC 32476, CECT 8513)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 156765

Type strain

Culture col. no. CCUG 64955 KCTC 32476 CECT 8513

NCBI tax ID(s) 1418234

Special Collections CCUG KCTC

Links

Sneathiella chungangensis CCUG 64955 is an aerobe, mesophilic prokaryote that was isolated from Marine sand.

aerobe mesophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 394152

KCTC 32476,CECT 8513,CCUG 64955

@ref 20215

Last LPSN update 2025-12-16 10:07:38

Domain Pseudomonadati

Phylum Pseudomonadota

Class Alphaproteobacteria

Order Sneathiellales

Family Sneathiellaceae

Genus Sneathiella

Species Sneathiella chungangensis

Full scientific name Sneathiella chungangensis Siamphan et al. 2014

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	95.2
125438	negative	98

Colony morphology

63179

Incubation period3 days

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
63179	positive	growth	30	mesophilic

Physiology and metabolism

Oxygen tolerance

63179

Oxygen toleranceaerobe

Spore formation

@ref	Spore formation	Confidence
125439		92.4

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Marine
#Environmental	#Terrestrial	#Sandy

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
63179	Marine sand	2013-01-21	Jeju Island	Republic of Korea	KOR	Asia

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
124043	ASM4265154v1 assembly for Sneathiella chungangensis CECT 8513	contig	GCA_042651545			1418234	76.39
66792	ASM988293v1 assembly for Sneathiella chungangensis KCTC 32476	scaffold	GCA_009882935	1418234.3	2887550291	1418234	75.06
66792	ASM1272012v1 assembly for Sneathiella chungangensis KCTC32476	contig	GCA_012720125	1418234.4		1418234	43.26

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
124043	Sneathiella chungangensis strain CECT 8513 16S ribosomal RNA gene, partial sequence.	MT760299	1340		1418234

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Sneathiella chungangensis KCTC 32476
NCBI: GCA_009882935

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	92.40	no
125439	motility	BacteriaNetⓘ	yes	54.70	no
125439	gram_stain	BacteriaNetⓘ	negative	95.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate anaerobe	83.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Sneathiella chungangensis KCTC 32476
NCBI: GCA_009882935.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	98.00	no
125438	anaerobic	anaerobicⓘ	no	93.48	yes
125438	aerobic	aerobicⓘ	yes	80.51	yes
125438	spore-forming	spore-formingⓘ	no	87.57	no
125438	thermophilic	thermophileⓘ	no	95.88	yes
125438	flagellated	motile2+ⓘ	yes	67.57	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Sneathiella sedimenti sp. nov., isolated from marine sediment.	Lee Y, Weerawongwiwat V, Kim JH, Yoon JH, Suh MK, Kim HS, Lee JS, Sukhoom A, Kim W	Int J Syst Evol Microbiol	10.1099/ijsem.0.005218	2022
Phylogeny	Sneathiella chungangensis sp. nov., isolated from a marine sand, and emended description of the genus Sneathiella.	Siamphan C, Kim H, Lee JS, Kim W	Int J Syst Evol Microbiol	10.1099/ijs.0.059386-0	2014

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 )
#63179	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 64955
#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) .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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Sneathiella chungangensis (CCUG 64955, KCTC 32476, CECT 8513)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_042651545

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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