Campylobacter avium (LMG 24591, CCUG 56292, 86/06)

Name: Campylobacter avium (LMG 24591, CCUG 56292, 86/06)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 133481

Type strain

Strain Designation 86/06

Culture col. no. LMG 24591 CCUG 56292 86/06

NCBI tax ID(s) 522484 522485

Special Collections CCUG Literature strains

Links

Campylobacter avium 86/06 is a microaerophile, Gram-negative, motile bacterium that was isolated from Poultry.

Gram-negative motile spiral-shaped microaerophile genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 358696

LMG 24591,CCUG 56292

@ref 20215

Last LPSN update 2026-05-29 08:38:06

Domain Bacteria

Phylum Pseudomonadota

Class Epsilonproteobacteria

Order Campylobacterales

Family Campylobacteraceae

Genus Campylobacter

Species Campylobacter avium

Full scientific name Campylobacter avium Rossi et al. 2009

BacDive ID	Other strains from **Campylobacter avium** (2)	Type strain
155052	C. avium CCUG 56293
155053	C. avium CCUG 56294

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29151	negative	01-03 µm	0.2-0.4 µm	spiral-shaped
125439	negative				97.817
125438	negative				97.461

Colony morphology

60904

Incubation period5-7 days

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)
60904	positive	growth	37

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance
29151	microaerophile
60904	microaerophile

Spore formation

@ref	Spore formation	Confidence
125439		99.602
125438		93.378

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29151	17632 ChEBI	nitrate	+	reduction

Enzymes

@ref	Value	Activity	Ec
29151	catalase	+	1.11.1.6
29151	cytochrome oxidase	+	1.9.3.1

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	CMP-KDO biosynthesis	100	4 of 4
66794	ppGpp biosynthesis	100	4 of 4
66794	coenzyme A metabolism	100	4 of 4
66794	biotin biosynthesis	100	4 of 4
66794	suberin monomers biosynthesis	100	2 of 2
66794	folate polyglutamylation	100	1 of 1
66794	formaldehyde oxidation	100	3 of 3
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	lipid A biosynthesis	88.89	8 of 9
66794	chorismate metabolism	88.89	8 of 9
66794	gluconeogenesis	87.5	7 of 8
66794	C4 and CAM-carbon fixation	87.5	7 of 8
66794	isoleucine metabolism	87.5	7 of 8
66794	palmitate biosynthesis	86.36	19 of 22
66794	ubiquinone biosynthesis	85.71	6 of 7
66794	tetrahydrofolate metabolism	85.71	12 of 14
66794	vitamin B1 metabolism	84.62	11 of 13
66794	1,4-dihydroxy-6-naphthoate biosynthesis	83.33	5 of 6
66794	threonine metabolism	80	8 of 10
66794	methylglyoxal degradation	80	4 of 5
66794	photosynthesis	78.57	11 of 14
66794	valine metabolism	77.78	7 of 9
66794	molybdenum cofactor biosynthesis	77.78	7 of 9
66794	phenylalanine metabolism	76.92	10 of 13
66794	acetate fermentation	75	3 of 4
66794	sulfopterin metabolism	75	3 of 4
66794	peptidoglycan biosynthesis	73.33	11 of 15
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	acetoin degradation	66.67	2 of 3
66794	aspartate and asparagine metabolism	66.67	6 of 9
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	enterobactin biosynthesis	66.67	2 of 3
66794	d-mannose degradation	66.67	6 of 9
66794	glutamate and glutamine metabolism	64.29	18 of 28
66794	citric acid cycle	64.29	9 of 14
66794	vitamin B6 metabolism	63.64	7 of 11
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	NAD metabolism	61.11	11 of 18
66794	cysteine metabolism	61.11	11 of 18
66794	propionate fermentation	60	6 of 10
66794	cellulose degradation	60	3 of 5
66794	hydrogen production	60	3 of 5
66794	flavin biosynthesis	60	9 of 15
66794	methionine metabolism	57.69	15 of 26
66794	isoprenoid biosynthesis	57.69	15 of 26
66794	propanol degradation	57.14	4 of 7
66794	serine metabolism	55.56	5 of 9
66794	purine metabolism	55.32	52 of 94
66794	alanine metabolism	55.17	16 of 29
66794	urea cycle	53.85	7 of 13
66794	leucine metabolism	53.85	7 of 13
66794	glycolysis	52.94	9 of 17
66794	non-pathway related	52.63	20 of 38
66794	oxidative phosphorylation	50.55	46 of 91
66794	ethanol fermentation	50	1 of 2
66794	ribulose monophosphate pathway	50	1 of 2
66794	kanosamine biosynthesis II	50	1 of 2
66794	cis-vaccenate biosynthesis	50	1 of 2
66794	adipate degradation	50	1 of 2
66794	degradation of aromatic, nitrogen containing compounds	50	6 of 12
66794	quinate degradation	50	1 of 2
66794	ketogluconate metabolism	50	4 of 8
66794	butanoate fermentation	50	2 of 4
66794	glutathione metabolism	50	7 of 14
66794	lysine metabolism	47.62	20 of 42
66794	phosphatidylethanolamine bioynthesis	46.15	6 of 13
66794	arginine metabolism	45.83	11 of 24
66794	proline metabolism	45.45	5 of 11
66794	pentose phosphate pathway	45.45	5 of 11
66794	histidine metabolism	44.83	13 of 29
66794	CO2 fixation in Crenarchaeota	44.44	4 of 9
66794	pyrimidine metabolism	44.44	20 of 45
66794	degradation of sugar alcohols	43.75	7 of 16
66794	polyamine pathway	43.48	10 of 23
66794	reductive acetyl coenzyme A pathway	42.86	3 of 7
66794	heme metabolism	42.86	6 of 14
66794	ethylmalonyl-CoA pathway	40	2 of 5
66794	D-cycloserine biosynthesis	40	2 of 5
66794	lipid metabolism	38.71	12 of 31
66794	tryptophan metabolism	36.84	14 of 38
66794	tyrosine metabolism	35.71	5 of 14
66794	IAA biosynthesis	33.33	1 of 3
66794	glycolate and glyoxylate degradation	33.33	2 of 6
66794	cyanate degradation	33.33	1 of 3
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	octane oxidation	33.33	1 of 3
66794	sulfate reduction	30.77	4 of 13
66794	glycine metabolism	30	3 of 10
66794	coenzyme M biosynthesis	30	3 of 10
66794	3-phenylpropionate degradation	26.67	4 of 15
66794	toluene degradation	25	1 of 4
66794	lactate fermentation	25	1 of 4
66794	dTDPLrhamnose biosynthesis	25	2 of 8
66794	glycogen biosynthesis	25	1 of 4
66794	phenylpropanoid biosynthesis	23.08	3 of 13
66794	nitrate assimilation	22.22	2 of 9
66794	degradation of hexoses	22.22	4 of 18
66794	4-hydroxymandelate degradation	22.22	2 of 9
66794	degradation of pentoses	21.43	6 of 28

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Birds	-
#Engineered	#Food production	#Meat
#Engineered	#Agriculture	#Livestock (Husbandry)

Isolation

@ref	Sample type	Sampling date	Geographic location	Country	Country ISO 3 Code	Continent
29151	Poultry
60904	Chicken caecal contents	2006-10-01	Bologna	Italy	ITA	Europe

Taxonmaps

69479

Global distribution of 16S sequence EU623473 (>99% sequence identity) for Campylobacter avium subclade from Microbeatlas

Aquatic Samples	15
Soil Samples	31
Animal Samples	698
Plant Samples	14
Total Samples	758

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	NCBI tax ID	Score
66792	ASM223833v1 assembly for Campylobacter avium LMG 24591	complete	GCA_002238335	522484.4	522484	95.48
66792	Campylobacter avium LMG 24591	complete		522484.5	522484	94.6

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
29151	Campylobacter avium LMG 24591 strain 86/06 16S ribosomal RNA gene, partial sequence	EU623473	1354		522484
124043	Campylobacter avium strain CCUG 56292 16S ribosomal RNA gene, partial sequence.	JX912504	1435		522485

GC content

29151

GC-content (mol%)35

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: ASM223833v1 assembly for Campylobacter avium LMG 24591
BV-BRC: 522484.4

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	68.04	no
125439	gram_stain	BacteriaNetⓘ	negative	97.82	no
125439	motility	BacteriaNetⓘ	no	83.34	no
125439	spore_formation	BacteriaNetⓘ	no	99.60	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Campylobacter avium LMG 24591 LMG 24591
NCBI: GCA_002238335.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.46	yes
125438	anaerobic	anaerobicⓘ	no	79.18	yes
125438	aerobic	aerobicⓘ	no	84.57	yes
125438	spore-forming	spore-formingⓘ	no	93.38	no
125438	thermophilic	thermophileⓘ	no	86.25	yes
125438	flagellated	motile2+ⓘ	yes	61.75	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Functional Characterization of a HAD Phosphatase Involved in Capsular Polysaccharide Biosynthesis in Campylobacter jejuni.	Riegert AS, Narindoshvili T, Platzer NE, Raushel FM.	Biochemistry	10.1021/acs.biochem.2c00484	2022
Genetics	Complete Genome Sequence of the Hippuricase-Positive Campylobacter avium Type Strain LMG 24591.	Miller WG, Chapman MH, Yee E, Revez J, Bono JL, Rossi M	Genome Announc	10.1128/genomeA.01221-17	2017
Phylogeny	Campylobacter avium sp. nov., a hippurate-positive species isolated from poultry.	Rossi M, Debruyne L, Zanoni RG, Manfreda G, Revez J, Vandamme P	Int J Syst Evol Microbiol	10.1099/ijs.0.007419-0	2009

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 )
#25575	IJSEM 2364 2009 ( DOI 10.1099/ijs.0.007419-0 , PubMed 19620353 )
#29151	Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #25575
#60904	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 56292
#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) .
#66794	Antje Chang, Lisa Jeske, Sandra Ulbrich, Julia Hofmann, Julia Koblitz, Ida Schomburg, Meina Neumann-Schaal, Dieter Jahn, Dietmar Schomburg: BRENDA, the ELIXIR core data resource in 2021: new developments and updates. Nucleic Acids Res. 49: D498 - D508 2020 ( DOI 10.1093/nar/gkaa1025 , PubMed 33211880 )
#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 .
#124043	Isabel Schober, Julia Koblitz: Data extracted from sequence databases, automatically matched based on designation and taxonomy .
#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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Campylobacter avium (LMG 24591, CCUG 56292, 86/06)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Metabolite utilization

Enzymes

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_002238335

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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