Abyssisolibacter fermentans (KCTC 15524, JCM 31420)

Name: Abyssisolibacter fermentans (KCTC 15524, JCM 31420)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164056

Type strain

Culture col. no. KCTC 15524 JCM 31420

NCBI tax ID(s) 1766203

Special Collections JCM KCTC

History W. Kim; Korea Inst. of Ocean Sci. & Technol., South Korea; MCWD3.

Links

Abyssisolibacter fermentans JCM 31420 is a bacterium that was isolated from Deep sea sediment in Ulleung Basin.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 26951

KCTC 15524,JCM31420

@ref 20215

Last LPSN update 2026-02-09 11:39:45

Domain Bacteria

Phylum Bacillota

Class Clostridia

Order Eubacteriales

Family Clostridiaceae

Genus Abyssisolibacter

Species Abyssisolibacter fermentans

Full scientific name Abyssisolibacter fermentans Kim et al. 2024

Morphology

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	anaerobe	96.7

Isolation, sampling and environmental information

Isolation

67770

Sample typeDeep sea sediment in Ulleung Basin

Taxonmaps

69479

Global distribution of 16S sequence KU510224 (>99% sequence identity) for Abyssisolibacter fermentans subclade from Microbeatlas

Aquatic Samples	317
Soil Samples	147
Animal Samples	1090
Plant Samples	95
Total Samples	1649

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
67770	ASM155986v1 assembly for Abyssisolibacter fermentans MCWD3	contig	GCA_001559865	1766203.5	2684622596	1766203	47.72

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Abyssisolibacter fermentans 16S ribosomal RNA gene, partial sequence	KU510224	1364		1766203

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Abyssisolibacter fermentans MCWD3
NCBI: GCA_001559865

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	63.20	no
125439	motility	BacteriaNetⓘ	yes	69.50	no
125439	gram_stain	BacteriaNetⓘ	positive	81.20	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	96.70	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Abyssisolibacter fermentans MCWD3
NCBI: GCA_001559865.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	59.00	no
125438	anaerobic	anaerobicⓘ	yes	81.43	no
125438	aerobic	aerobicⓘ	no	89.29	no
125438	spore-forming	spore-formingⓘ	yes	70.25	no
125438	thermophilic	thermophileⓘ	no	84.14	yes
125438	flagellated	motile2+ⓘ	yes	80.08	no

Literature

Title	Authors	Journal	DOI	Year
Validation List no. 220. Valid publication of new names and new combinations effectively published outside the IJSEM.	Oren A, Goker M.	Int J Syst Evol Microbiol	10.1099/ijsem.0.006501	2024

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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Abyssisolibacter fermentans (KCTC 15524, JCM 31420)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Isolation, sampling and environmental information

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_001559865

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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