Flavobacterium phycosphaerae (KACC 21509, MK012, JCM 33879)

Name: Flavobacterium phycosphaerae (KACC 21509, MK012, JCM 33879)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 166600

Type strain

Strain Designation MK012

Culture col. no. KACC 21509 MK012 JCM 33879

NCBI tax ID(s) 2697515

Special Collections JCM

Links

Flavobacterium phycosphaerae MK012 is a bacterium of the family Flavobacteriaceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 393874

JCM 33879

@ref 20215

Last LPSN update 2026-05-29 08:45:56

Domain Bacteria

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Flavobacteriaceae

Genus Flavobacterium

Species Flavobacterium phycosphaerae

Full scientific name Flavobacterium phycosphaerae Kim et al. 2021

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	99.519
125438	negative	97.5
125438		94

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	93.751

Spore formation

@ref	Spore formation	Confidence
125438		91.803
125439		99.949

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	ASM1011923v1 assembly for Flavobacterium phycosphaerae MK012	contig	GCA_010119235	2697515.3	2903914132	2697515	74.06

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Flavobacterium phycosphaerae strain MK012 16S ribosomal RNA gene, partial sequence	MN559947	1326		2697515

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM1011923v1 assembly for Flavobacterium phycosphaerae MK012
NCBI: GCA_010119235

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	motility	BacteriaNetⓘ	no	83.96	no
125439	gram_stain	BacteriaNetⓘ	negative	99.52	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	93.75	no
125439	spore_formation	BacteriaNetⓘ	no	99.95	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Flavobacterium phycosphaerae MK012
NCBI: GCA_010119235.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.50	no
125438	anaerobic	anaerobicⓘ	no	94.85	no
125438	aerobic	aerobicⓘ	yes	84.73	no
125438	spore-forming	spore-formingⓘ	no	91.80	no
125438	thermophilic	thermophileⓘ	no	94.29	no
125438	flagellated	motile2+ⓘ	no	94.00	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Flavobacterium phycosphaerae sp. nov. isolated from the phycosphere of Microcystis aeruginosa.	Kim M, Lee BH, Lee KE, Park W	Int J Syst Evol Microbiol	10.1099/ijsem.0.004735	2021

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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Flavobacterium phycosphaerae (KACC 21509, MK012, JCM 33879)

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_010119235

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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