Arcobacter caeni (RW17-10, LMG 29151, CECT 9140)

Name: Arcobacter caeni (RW17-10, LMG 29151, CECT 9140)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 167686

Type strain

Strain Designation RW17-10

Culture col. no. RW17-10 LMG 29151 CECT 9140

NCBI tax ID(s) 1912877

Links

Arcobacter caeni RW17-10 is a bacterium of the family Arcobacteraceae.

genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 366592

LMG 29151,CECT 9140

@ref 20215

Last LPSN update 2026-05-29 08:46:12

Domain Bacteria

Phylum Pseudomonadota

Class Epsilonproteobacteria

Order Campylobacterales

Family Arcobacteraceae

Genus Arcobacter

Species Arcobacter caeni

Full scientific name Arcobacter caeni Pérez-Cataluña et al. 2019

Morphology

Cell morphology

@ref	Gram stain	Confidence
125439	negative	96.705
125438	negative	97.286

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
125439	obligate aerobe	96.886

Spore formation

@ref	Spore formation	Confidence
125438		93.318
125439		97.38

Isolation, sampling and environmental information

Taxonmaps

69479

Global distribution of 16S sequence LT629998 (>99% sequence identity) for Arcobacter from Microbeatlas

Aquatic Samples	3261
Soil Samples	151
Animal Samples	446
Plant Samples	28
Total Samples	3886

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM306324v1 assembly for Arcobacter caeni RW17-10	contig	GCA_003063245	1912877.3	2831415701	1912877	64.12

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20215	Arcobacter sp. RW17-10 partial 16S rRNA gene, strain RW17-10	LT629998	1354		1912877

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM306324v1 assembly for Arcobacter caeni RW17-10
NCBI: GCA_003063245

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	motility	BacteriaNetⓘ	no	67.09	no
125439	gram_stain	BacteriaNetⓘ	negative	96.71	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	96.89	no
125439	spore_formation	BacteriaNetⓘ	no	97.38	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Arcobacter caeni RW17-10
NCBI: GCA_003063245.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.29	no
125438	anaerobic	anaerobicⓘ	no	54.73	no
125438	aerobic	aerobicⓘ	no	63.07	no
125438	spore-forming	spore-formingⓘ	no	93.32	no
125438	thermophilic	thermophileⓘ	no	89.62	no
125438	flagellated	motile2+ⓘ	yes	74.37	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Arcobacter lacus sp. nov. and Arcobacter caeni sp. nov., two novel species isolated from reclaimed water.	Perez-Cataluna A, Salas-Masso N, Figueras MJ	Int J Syst Evol Microbiol	10.1099/ijsem.0.003101	2019

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) .
#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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Arcobacter caeni (RW17-10, LMG 29151, CECT 9140)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Physiology and metabolism

Oxygen tolerance

Spore formation

Isolation, sampling and environmental information

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_003063245

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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