Siansivirga zeaxanthinifaciens (BCRC 80315, JCM 17682)

Name: Siansivirga zeaxanthinifaciens (BCRC 80315, JCM 17682)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 162077

Type strain

Culture col. no. BCRC 80315 JCM 17682

NCBI tax ID(s) 762954

Special Collections JCM

History JCM <-- C.-C. Young CC-SAMT-1.

Links

Siansivirga zeaxanthinifaciens JCM 17682 is a bacterium that was isolated from Coastal seawater at China Sea.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 25238

BCRC 80315,JCM 17682

@ref 20215

Last LPSN update 2026-05-29 08:44:50

Domain Bacteria

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Flavobacteriaceae

Genus Siansivirga

Species Siansivirga zeaxanthinifaciens

Full scientific name Siansivirga zeaxanthinifaciens Hameed et al. 2013

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	98.837
125438	negative	96.981
125438		93.5

Culture and growth conditions

Culture temp

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

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	facultative anaerobe	90.834

Spore formation

@ref	Spore formation	Confidence
125438		92.833
125439		99.783

Observation

67770

Observationquinones: MK-6

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
67770	Coastal seawater at China Sea	Taiwan, Province of China	TWN	Asia

Taxonmaps

69479

Global distribution of 16S sequence HM179539 (>99% sequence identity) for Siansivirga zeaxanthinifaciens subclade from Microbeatlas

Aquatic Samples	121
Soil Samples	1
Animal Samples	12
Plant Samples	1
Total Samples	135

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM94105v1 assembly for Siansivirga zeaxanthinifaciens CC-SAMT-1	complete	GCA_000941055	1454006.9	2639762969	1454006	99.44

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Siansivirga zeaxanthinifaciens strain CC-SAMT-1 16S ribosomal RNA gene, partial sequence	HM179539	1440		1454006

GC content

@ref	GC-content (mol%)	Method
67770	33.7	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM94105v1 assembly for Siansivirga zeaxanthinifaciens CC-SAMT-1
BV-BRC: 1454006.9

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	90.83	no
125439	gram_stain	BacteriaNetⓘ	negative	98.84	no
125439	motility	BacteriaNetⓘ	no	83.63	no
125439	spore_formation	BacteriaNetⓘ	no	99.78	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Siansivirga zeaxanthinifaciens CC-SAMT-1
PATRIC: 1454006.9

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.98	no
125438	anaerobic	anaerobicⓘ	no	95.56	no
125438	spore-forming	spore-formingⓘ	no	92.83	no
125438	aerobic	aerobicⓘ	yes	86.79	no
125438	thermophilic	thermophileⓘ	no	97.69	no
125438	flagellated	motile2+ⓘ	no	93.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Siansivirga jejuensis [corrected] sp. nov., isolated from seawater of Jeju Island in Korea and emendation of the genus Siansivirga.	Park JM, Han SK, Lee DG, Kang H, Trujillo ME, Lee DK	Antonie Van Leeuwenhoek	10.1007/s10482-014-0246-9	2014
Phylogeny	Siansivirga zeaxanthinifaciens gen. nov., sp. nov., a novel zeaxanthin-producing member of the family Flavobacteriaceae isolated from coastal seawater of Taiwan.	Hameed A, Shahina M, Lin SY, Sridhar KR, Young LS, Lee MR, Chen WM, Chou JH, Young CC	FEMS Microbiol Lett	10.1111/j.1574-6968.2012.02596.x	2012

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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#69479	João F Matias Rodrigues, Janko Tackmann,Gregor Rot, Thomas SB Schmidt, Lukas Malfertheiner, Mihai Danaila,Marija Dmitrijeva, Daniela Gaio, Nicolas Näpflin and Christian von Mering. University of Zurich.: MicrobeAtlas 1.0 beta .
#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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Siansivirga zeaxanthinifaciens (BCRC 80315, JCM 17682)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Observation

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_000941055

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

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