Abyssalbus ytuae (MCCC 1K06012, KCTC 82823, MT3330)

Name: Abyssalbus ytuae (MCCC 1K06012, KCTC 82823, MT3330)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 170183

Type strain

Strain Designation MT3330

Culture col. no. MCCC 1K06012 KCTC 82823 MT3330

NCBI tax ID(s) 2926907

Special Collections KCTC

Links

Abyssalbus ytuae MT3330 is a prokaryote of the family Flavobacteriaceae.

genome sequence 16S sequence

Name and taxonomic classification

SI-ID 286014

KCTC82823

@ref 20215

Last LPSN update 2025-12-16 10:10:45

Domain Pseudomonadati

Phylum Bacteroidota

Class Flavobacteriia

Order Flavobacteriales

Family Flavobacteriaceae

Genus Abyssalbus

Species Abyssalbus ytuae

Full scientific name Abyssalbus ytuae Xu et al. 2022

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	96
125438		91.583
125439	negative	100

Culture and growth conditions

Physiology and metabolism

Spore formation

@ref	Spore formation	Confidence
125439		99.3
125438		90

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	ASM2280797v1 assembly for Abyssalbus ytuae MT3330	complete	GCA_022807975	2926907.3	8074039445	2926907	99.23

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Abyssalbus ytuae strain MT3330 16S ribosomal RNA gene, partial sequence	ON495953	1433		2926907

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Abyssalbus ytuae MT3330
NCBI: GCA_022807975

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.30	no
125439	motility	BacteriaNetⓘ	no	62.00	no
125439	gram_stain	BacteriaNetⓘ	negative	100.00	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	80.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Abyssalbus ytuae MT3330
NCBI: GCA_022807975.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	96.00	no
125438	anaerobic	anaerobicⓘ	no	92.50	no
125438	aerobic	aerobicⓘ	yes	79.74	no
125438	spore-forming	spore-formingⓘ	no	90.00	no
125438	thermophilic	thermophileⓘ	no	97.34	no
125438	flagellated	motile2+ⓘ	no	91.58	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Description of Abyssalbus ytuae gen. nov., sp. nov., a novel member of the family Flavobacteriaceae isolated from the sediment of the Mariana Trench.	Xu X, Zhang S, Sun X, Xu X, Zhang J	Int J Syst Evol Microbiol	10.1099/ijsem.0.005459	2022

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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Abyssalbus ytuae (MCCC 1K06012, KCTC 82823, MT3330)

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_022807975

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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