Arachidicoccus soli (KIS59-12, NBRC 113161, KACC 17340)

Name: Arachidicoccus soli (KIS59-12, NBRC 113161, KACC 17340)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 167441

Type strain

Strain Designation KIS59-12

Culture col. no. KIS59-12 NBRC 113161 KACC 17340

NCBI tax ID(s) 2341117

Arachidicoccus soli KIS59-12 is a prokaryote of the family Chitinophagaceae.

genome sequence 16S sequence

Name and taxonomic classification

Culture Collection Numbers

KIS59-12 NBRC 113161 KACC 17340

@ref 20215

Last LPSN update 2025-12-16 10:10:06

Domain Pseudomonadati

Phylum Bacteroidota

Class Chitinophagia

Order Chitinophagales

Family Chitinophagaceae

Genus Arachidicoccus

Species Arachidicoccus soli

Full scientific name Arachidicoccus soli Lee et al. 2021

Morphology

Cell morphology

@ref	Gram stain	Confidence
125438	negative	93.667
125438		90.5
125439	negative	99.5

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98.2

Spore formation

@ref	Spore formation	Confidence
125439		92.2
125438		90.601

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	ASM360062v1 assembly for Arachidicoccus soli KIS59-12	complete	GCA_003600625	2341117.3	2832916303	2341117	97.44

Genome browser: GCA_003600625

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Arachidicoccus soli strain KIS59-12 16S ribosomal RNA gene, partial sequence	MH933978	1516		2341117

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Arachidicoccus soli KIS59-12
NCBI: GCA_003600625

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	92.20	no
125439	motility	BacteriaNetⓘ	no	73.60	no
125439	gram_stain	BacteriaNetⓘ	negative	99.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.20	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Arachidicoccus soli KIS59-12
NCBI: GCA_003600625.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	93.67	no
125438	anaerobic	anaerobicⓘ	no	96.69	no
125438	aerobic	aerobicⓘ	yes	89.37	no
125438	spore-forming	spore-formingⓘ	no	90.60	no
125438	thermophilic	thermophileⓘ	no	95.64	no
125438	flagellated	motile2+ⓘ	no	90.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Arachidicoccus soli sp. nov., a bacterium isolated from soil.	Lee SA, Kim TW, Sang MK, Song J, Kwon SW, Weon HY	Int J Syst Evol Microbiol	10.1099/ijsem.0.004566	2020

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 .

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Arachidicoccus soli (KIS59-12, NBRC 113161, KACC 17340)

Name and taxonomic classification

Culture Collection Numbers

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_003600625

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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