Salinimicrobium sediminis (JC207, CGMCC 1.12641, KCTC 32444)

Name: Salinimicrobium sediminis (JC207, CGMCC 1.12641, KCTC 32444)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 167652

Type strain

Strain Designation JC207

Culture col. no. JC207 CGMCC 1.12641 KCTC 32444

NCBI tax ID(s) 1343891

Special Collections KCTC

Links

Salinimicrobium sediminis JC207 is a bacterium of the family Flavobacteriaceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 26497

KCTC 32444

@ref 20215

Last LPSN update 2026-05-29 08:46:11

Domain Bacteria

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Flavobacteriaceae

Genus Salinimicrobium

Species Salinimicrobium sediminis

Full scientific name Salinimicrobium sediminis Subhash et al. 2014

Morphology

Cell morphology

@ref	Gram stain	Confidence	Motility
125438	negative	99
125438		92.75

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	91.274

Spore formation

@ref	Spore formation	Confidence
125438		92.833
125439		93.721

Isolation, sampling and environmental information

Taxonmaps

69479

Global distribution of 16S sequence HG008896 (>99% sequence identity) for Salinimicrobium sediminis subclade from Microbeatlas

Aquatic Samples	25
Soil Samples	18
Animal Samples	2
Plant Samples	0
Total Samples	45

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
20215	1	Risk group

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	IMG-taxon 2721755925 annotated assembly for Salinimicrobium sediminis CGMCC 1.12641	contig	GCA_900215295	1343891.3	2721755925	1343891	72.72

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Salinimicrobium sediminis partial 16S rRNA gene, type strain JC207T, isolate A3	HG008896	1377		1343891

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: IMG-taxon 2721755925 annotated assembly for Salinimicrobium sediminis CGMCC 1.12641
NCBI: GCA_900215295

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	motility	BacteriaNetⓘ	no	77.98	no
125439	gram_stain	BacteriaNetⓘ	negative	88.51	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	91.27	no
125439	spore_formation	BacteriaNetⓘ	no	93.72	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Salinimicrobium sediminis strain CGMCC 1.12641
PATRIC: 1343891.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	99.00	no
125438	anaerobic	anaerobicⓘ	no	96.75	no
125438	spore-forming	spore-formingⓘ	no	92.83	no
125438	aerobic	aerobicⓘ	yes	82.71	no
125438	thermophilic	thermophileⓘ	no	96.88	no
125438	flagellated	motile2+ⓘ	no	92.75	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Salinimicrobium nanhaiense sp. nov. and Salinimicrobium oceani sp. nov., two novel species of the family Flavobacteriaceae isolated from the South China Sea.	Cao WR, Zhang LZ, Hu YH, Jiang MY, Li YJ	Int J Syst Evol Microbiol	10.1099/ijsem.0.004405	2020
Phylogeny	Salinimicrobium sediminis sp. nov., isolated from a deep-sea sediment.	Subhash Y, Sasikala C, Ramana CV	Int J Syst Evol Microbiol	10.1099/ijs.0.058149-0	2013

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) .
#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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Salinimicrobium sediminis (JC207, CGMCC 1.12641, KCTC 32444)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900215295

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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