Arcobacter parvus (KACC 18888, JCM 31548)

Name: Arcobacter parvus (KACC 18888, JCM 31548)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 164091

Type strain

Culture col. no. KACC 18888 JCM 31548

NCBI tax ID(s) 1850254

Special Collections JCM

History JCM <-- H. Yi; Korea Univ., South Korea; LPB0137.

Links

Arcobacter parvus JCM 31548 is a bacterium that was isolated from Squid caught in Jumunjin Port.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 27802

JCM 31548

@ref 20215

Last LPSN update 2026-05-29 08:45:19

Domain Bacteria

Phylum Pseudomonadota

Class Epsilonproteobacteria

Order Campylobacterales

Family Arcobacteraceae

Genus Arcobacter

Species Arcobacter parvus

Full scientific name Arcobacter parvus (Kim et al. 2021) On et al. 2021

Synonyms (1)

Poseidonibacter parvus

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	90.652

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
67770	positive	growth	25

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	98.378

Spore formation

@ref	Spore formation	Confidence
125439		96.666

Isolation, sampling and environmental information

Isolation

@ref	Sample type	Country	Country ISO 3 Code	Continent
67770	Squid caught in Jumunjin Port	Republic of Korea	KOR	Asia

Taxonmaps

69479

Global distribution of 16S sequence KX066859 (>99% sequence identity) for Campylobacteraceae from Microbeatlas

Aquatic Samples	2539
Soil Samples	58
Animal Samples	174
Plant Samples	13
Total Samples	2784

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	IMG accession	NCBI tax ID	Score
67770	ASM195669v1 assembly for Poseidonibacter parvus LPB0137	complete	GCA_001956695	2751185849	1850254	98.28

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
67770	Poseidonibacter parvus strain LPB0137 16S ribosomal RNA gene, partial sequence	KX066859	1375		1850254

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM195669v1 assembly for Poseidonibacter parvus LPB0137
NCBI: GCA_001956695

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.38	no
125439	gram_stain	BacteriaNetⓘ	negative	90.65	no
125439	motility	BacteriaNetⓘ	no	66.20	no
125439	spore_formation	BacteriaNetⓘ	no	96.67	no

Literature

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 .
#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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