Adhaeribacter aerolatus (KACC 14117, NBRC 106133, 6515J-31)

Name: Adhaeribacter aerolatus (KACC 14117, NBRC 106133, 6515J-31)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 133587

Type strain

Strain Designation 6515J-31

Culture col. no. KACC 14117 NBRC 106133 6515J-31

NCBI tax ID(s) 670289

Special Collections Literature strains

Links

Adhaeribacter aerolatus 6515J-31 is an aerobe, Gram-negative, rod-shaped prokaryote that was isolated from air sample.

Gram-negative rod-shaped aerobe genome sequence 16S sequence

Name and taxonomic classification

SI-ID 394147

NBRC 106133

@ref 20215

Last LPSN update 2026-02-09 11:31:59

Domain Bacteria

Phylum Bacteroidota

Class Cytophagia

Order Cytophagales

Family Hymenobacteraceae

Genus Adhaeribacter

Species Adhaeribacter aerolatus

Full scientific name Adhaeribacter aerolatus Weon et al. 2010

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Confidence
29671	negative	1.8-2.8 µm	1-1.2 µm	rod-shaped
125439	negative				99.9
125438	negative				94.876

Pigmentation

29671

Productionyes

Culture and growth conditions

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
29671	positive	growth	10-35
29671	positive	optimum	30	mesophilic

Culture pH

@ref	Ability	Type	PH	PH range
29671	positive	optimum	7
29671	positive	growth	6.5-9	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
29671	aerobe
125439	obligate aerobe	98.3

Spore formation

@ref	Spore formation	Confidence
29671
125439		98.7

Halophily

@ref	Salt	Growth	Tested relation	Concentration
29671	NaCl	positive	optimum	0-1.5 %

Observation

29671

Observationaggregates in chains

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
29671	22599 ChEBI	arabinose	+	carbon source
29671	17057 ChEBI	cellobiose	+	carbon source
29671	4853 ChEBI	esculin	+	hydrolysis
29671	28757 ChEBI	fructose	+	carbon source
29671	28260 ChEBI	galactose	+	carbon source
29671	17234 ChEBI	glucose	+	carbon source
29671	24996 ChEBI	lactate	+	carbon source
29671	17716 ChEBI	lactose	+	carbon source
29671	17306 ChEBI	maltose	+	carbon source
29671	37684 ChEBI	mannose	+	carbon source
29671	28053 ChEBI	melibiose	+	carbon source
29671	506227 ChEBI	N-acetylglucosamine	+	carbon source
29671	16634 ChEBI	raffinose	+	carbon source
29671	26546 ChEBI	rhamnose	+	carbon source
29671	33942 ChEBI	ribose	+	carbon source
29671	17814 ChEBI	salicin	+	carbon source
29671	17992 ChEBI	sucrose	+	carbon source
29671	27082 ChEBI	trehalose	+	carbon source
29671	18222 ChEBI	xylose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
29671	acid phosphatase	+	3.1.3.2
29671	alkaline phosphatase	+	3.1.3.1
29671	catalase	+	1.11.1.6
29671	cytochrome oxidase	+	1.9.3.1

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	cellulose degradation	100	5 of 5
66794	starch degradation	100	10 of 10
66794	biotin biosynthesis	100	4 of 4
66794	L-lactaldehyde degradation	100	3 of 3
66794	sulfopterin metabolism	100	4 of 4
66794	phenylacetate degradation (aerobic)	100	5 of 5
66794	coenzyme A metabolism	100	4 of 4
66794	formaldehyde oxidation	100	3 of 3
66794	methylglyoxal degradation	100	5 of 5
66794	glycogen metabolism	100	5 of 5
66794	adipate degradation	100	2 of 2
66794	kanosamine biosynthesis II	100	2 of 2
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	palmitate biosynthesis	100	22 of 22
66794	folate polyglutamylation	100	1 of 1
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	quinate degradation	100	2 of 2
66794	suberin monomers biosynthesis	100	2 of 2
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	vitamin K metabolism	100	5 of 5
66794	photosynthesis	92.86	13 of 14
66794	pentose phosphate pathway	90.91	10 of 11
66794	Entner Doudoroff pathway	90	9 of 10
66794	threonine metabolism	90	9 of 10
66794	chorismate metabolism	88.89	8 of 9
66794	molybdenum cofactor biosynthesis	88.89	8 of 9
66794	NAD metabolism	88.89	16 of 18
66794	gluconeogenesis	87.5	7 of 8
66794	tetrahydrofolate metabolism	85.71	12 of 14
66794	phenylalanine metabolism	84.62	11 of 13
66794	lipid metabolism	83.87	26 of 31
66794	glycolysis	82.35	14 of 17
66794	glycine betaine biosynthesis	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	flavin biosynthesis	80	12 of 15
66794	glutathione metabolism	78.57	11 of 14
66794	glutamate and glutamine metabolism	78.57	22 of 28
66794	heme metabolism	78.57	11 of 14
66794	valine metabolism	77.78	7 of 9
66794	serine metabolism	77.78	7 of 9
66794	d-mannose degradation	77.78	7 of 9
66794	aspartate and asparagine metabolism	77.78	7 of 9
66794	lipid A biosynthesis	77.78	7 of 9
66794	purine metabolism	77.66	73 of 94
66794	C4 and CAM-carbon fixation	75	6 of 8
66794	isoleucine metabolism	75	6 of 8
66794	glycogen biosynthesis	75	3 of 4
66794	CMP-KDO biosynthesis	75	3 of 4
66794	ketogluconate metabolism	75	6 of 8
66794	butanoate fermentation	75	3 of 4
66794	acetate fermentation	75	3 of 4
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	metabolism of disaccharids	72.73	8 of 11
66794	vitamin B6 metabolism	72.73	8 of 11
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	propanol degradation	71.43	5 of 7
66794	reductive acetyl coenzyme A pathway	71.43	5 of 7
66794	pyrimidine metabolism	71.11	32 of 45
66794	tryptophan metabolism	71.05	27 of 38
66794	propionate fermentation	70	7 of 10
66794	leucine metabolism	69.23	9 of 13
66794	vitamin B1 metabolism	69.23	9 of 13
66794	lysine metabolism	69.05	29 of 42
66794	alanine metabolism	68.97	20 of 29
66794	non-pathway related	68.42	26 of 38
66794	degradation of pentoses	67.86	19 of 28
66794	glycolate and glyoxylate degradation	66.67	4 of 6
66794	cyanate degradation	66.67	2 of 3
66794	octane oxidation	66.67	2 of 3
66794	CO2 fixation in Crenarchaeota	66.67	6 of 9
66794	acetoin degradation	66.67	2 of 3
66794	acetyl CoA biosynthesis	66.67	2 of 3
66794	methionine metabolism	65.38	17 of 26
66794	isoprenoid biosynthesis	65.38	17 of 26
66794	citric acid cycle	64.29	9 of 14
66794	proline metabolism	63.64	7 of 11
66794	d-xylose degradation	63.64	7 of 11
66794	dTDPLrhamnose biosynthesis	62.5	5 of 8
66794	degradation of sugar alcohols	62.5	10 of 16
66794	cysteine metabolism	61.11	11 of 18
66794	degradation of hexoses	61.11	11 of 18
66794	arachidonate biosynthesis	60	3 of 5
66794	coenzyme M biosynthesis	60	6 of 10
66794	gallate degradation	60	3 of 5
66794	degradation of sugar acids	60	15 of 25
66794	metabolism of amino sugars and derivatives	60	3 of 5
66794	ascorbate metabolism	59.09	13 of 22
66794	ubiquinone biosynthesis	57.14	4 of 7
66794	histidine metabolism	55.17	16 of 29
66794	carotenoid biosynthesis	54.55	12 of 22
66794	arginine metabolism	54.17	13 of 24
66794	ppGpp biosynthesis	50	2 of 4
66794	selenocysteine biosynthesis	50	3 of 6
66794	phenylmercury acetate degradation	50	1 of 2
66794	degradation of aromatic, nitrogen containing compounds	50	6 of 12
66794	cyclohexanol degradation	50	2 of 4
66794	sphingosine metabolism	50	3 of 6
66794	dolichol and dolichyl phosphate biosynthesis	50	1 of 2
66794	resorcinol degradation	50	1 of 2
66794	ribulose monophosphate pathway	50	1 of 2
66794	ethanol fermentation	50	1 of 2
66794	myo-inositol biosynthesis	50	5 of 10
66794	sulfate reduction	46.15	6 of 13
66794	phenylpropanoid biosynthesis	46.15	6 of 13
66794	urea cycle	46.15	6 of 13
66794	phosphatidylethanolamine bioynthesis	46.15	6 of 13
66794	phenol degradation	45	9 of 20
66794	oxidative phosphorylation	43.96	40 of 91
66794	tyrosine metabolism	42.86	6 of 14
66794	ethylmalonyl-CoA pathway	40	2 of 5
66794	3-phenylpropionate degradation	40	6 of 15
66794	glycine metabolism	40	4 of 10
66794	D-cycloserine biosynthesis	40	2 of 5
66794	lipoate biosynthesis	40	2 of 5
66794	3-chlorocatechol degradation	40	2 of 5
66794	enterobactin biosynthesis	33.33	1 of 3
66794	nitrate assimilation	33.33	3 of 9
66794	4-hydroxymandelate degradation	33.33	3 of 9
66794	IAA biosynthesis	33.33	1 of 3
66794	sulfoquinovose degradation	33.33	1 of 3
66794	arachidonic acid metabolism	33.33	6 of 18
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	androgen and estrogen metabolism	31.25	5 of 16
66794	polyamine pathway	30.43	7 of 23
66794	aclacinomycin biosynthesis	28.57	2 of 7
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	carnitine metabolism	25	2 of 8
66794	lactate fermentation	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	alginate biosynthesis	25	1 of 4
66794	methanogenesis from CO2	25	3 of 12
66794	allantoin degradation	22.22	2 of 9
66794	vitamin B12 metabolism	20.59	7 of 34

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2
#Environmental	#Air

Isolation

29671

Sample typeair sample

Taxonmaps

69479

Global distribution of 16S sequence GQ421846 (>99% sequence identity) for Adhaeribacter aerolatus subclade from Microbeatlas

Aquatic Samples	45
Soil Samples	457
Animal Samples	82
Plant Samples	34
Total Samples	618

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM799163v1 assembly for Adhaeribacter aerolatus NBRC 106133	contig	GCA_007991635	670289.3	2995094332	670289	58.78

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
29671	Adhaeribacter aerolatus strain 6515J-31 16S ribosomal RNA gene, partial sequence	GQ421846	1486		670289
124043	Adhaeribacter aerolatus gene for 16S rRNA, partial sequence, strain: NBRC 106133.	AB682365	1449		670289

GC content

29671

GC-content (mol%)43.9

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Adhaeribacter aerolatus NBRC 106133
NCBI: GCA_007991635

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	98.70	no
125439	motility	BacteriaNetⓘ	no	59.60	no
125439	gram_stain	BacteriaNetⓘ	negative	99.90	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	98.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Adhaeribacter aerolatus strain NBRC 106133
PATRIC: 670289.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	94.88	yes
125438	anaerobic	anaerobicⓘ	no	98.30	yes
125438	spore-forming	spore-formingⓘ	no	81.70	yes
125438	aerobic	aerobicⓘ	yes	88.02	yes
125438	thermophilic	thermophileⓘ	no	96.49	yes
125438	flagellated	motile2+ⓘ	no	88.25	yes

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Adhaeribacter aerophilus sp. nov., Adhaeribacter aerolatus sp. nov. and Segetibacter aerophilus sp. nov., isolated from air samples.	Weon HY, Kwon SW, Son JA, Kim SJ, Kim YS, Kim BY, Ka JO	Int J Syst Evol Microbiol	10.1099/ijs.0.018374-0	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 )
#26057	IJSEM 2424 2010 ( DOI 10.1099/ijs.0.018374-0 , PubMed 19946049 )
#29671	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 #26057
#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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Adhaeribacter aerolatus (KACC 14117, NBRC 106133, 6515J-31)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

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_007991635

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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