Algoriphagus formosus (MCCC 1H00189, XAY3209, KCTC 52842)

Name: Algoriphagus formosus (MCCC 1H00189, XAY3209, KCTC 52842)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 167259

Type strain

Strain Designation XAY3209

Culture col. no. MCCC 1H00189 XAY3209 KCTC 52842

NCBI tax ID(s) 2007308

Special Collections KCTC

Links

Algoriphagus formosus XAY3209 is a bacterium of the family Cyclobacteriaceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 26640

KCTC 52842,JCM 33187,KCTC 72106

@ref 20215

Last LPSN update 2026-02-09 11:40:32

Domain Bacteria

Phylum Bacteroidota

Class Cytophagia

Order Cytophagales

Family Cyclobacteriaceae

Genus Algoriphagus

Species Algoriphagus formosus

Full scientific name Algoriphagus formosus Ye et al. 2020

Synonyms (1)

Algoriphagus aquimaris

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	94.815
125438		92.5
125439	negative	99.4

Culture and growth conditions

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		94.7

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	ASM280703v1 assembly for Algoriphagus formosus XAY3209	scaffold	GCA_002807035	2007308.3	2881378179	2007308	74.98

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Algoriphagus formosus 16S ribosomal RNA gene, partial sequence	KY886012	1445		2007308

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Algoriphagus formosus XAY3209
NCBI: GCA_002807035

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	94.70	no
125439	motility	BacteriaNetⓘ	no	71.50	no
125439	gram_stain	BacteriaNetⓘ	negative	99.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	88.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Algoriphagus formosus XAY3209
NCBI: GCA_002807035.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	94.82	no
125438	anaerobic	anaerobicⓘ	no	93.29	no
125438	aerobic	aerobicⓘ	yes	87.90	no
125438	spore-forming	spore-formingⓘ	no	86.94	no
125438	thermophilic	thermophileⓘ	no	95.97	no
125438	flagellated	motile2+ⓘ	no	92.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Algoriphagus formosus sp. nov., isolated from coastal sediment.	Ye MQ, Wang XT, Zhang J, Chen GJ, Du ZJ	Antonie Van Leeuwenhoek	10.1007/s10482-017-0990-8	2017

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 )

Rate our new design

Content

About us

Algoriphagus formosus (MCCC 1H00189, XAY3209, KCTC 52842)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Spore formation

Isolation, sampling and environmental information

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_002807035

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

Help

Social Media