Name: Adhaeribacter aerolatus 6515J-31
Creator: BacDive
License: https://creativecommons.org/licenses/by/4.0/

Strain identifier

BacDive ID: 133587

Type strain:

Species: Adhaeribacter aerolatus

Strain Designation: 6515J-31

Culture col. no.: KACC 14117, NBRC 106133

NCBI tax ID(s): 670289 (species)

Special Collections

Literature strains

Section

When using BacDive for research please cite our paper

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

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

Information on the name and the taxonomic classification. Name and taxonomic classification

	Last LPSN update	09-12-2024 (DD-MM-YYYY)
	Domain	*Bacteria*
	Phylum	*Bacteroidota*
	Class	*Cytophagia*
	Order	*Cytophagales*
	Family	*Hymenobacteraceae*
	Genus	*Adhaeribacter*
	Species	**Adhaeribacter aerolatus**
	Full Scientific Name (LPSN)	Adhaeribacter aerolatus Weon et al. 2010

Information on morphological and physiological properties Morphology

[Ref.: #29671]	Gram stain	negative
[Ref.: #125439]	Gram stain	negative Confidence in %99.9
[Ref.: #125438]	Gram stain	negative Confidence in %94.876

[Ref.: #29671]	Cell length	1.8-2.8 µm

[Ref.: #29671]	Cell width	1-1.2 µm

[Ref.: #29671]	Cell shape	rod-shaped

[Ref.: #29671]	Motility	no

[Ref.: #29671]

Pigment production

yes

Information on culture and growth conditions Culture and growth conditions

	Temperatures	Kind of temperature		Temperature
[Ref.: #29671]			growth	10-35 °C
[Ref.: #29671]			optimum	30 °C

	pH	Kind of pH		pH
[Ref.: #29671]			optimum	7
[Ref.: #29671]			growth	6.5-9

Information on physiology and metabolism Physiology and metabolism

[Ref.: #29671]	Oxygen tolerance	aerobe
[Ref.: #125439]	Oxygen tolerance	obligate aerobe Confidence in %98.3

[Ref.: #29671]	Ability of spore formation	no
[Ref.: #125439]	Ability of spore formation	no Confidence in %98.7

	Halophily	Salt	Tested relation		Salt conc.
[Ref.: #29671]		NaCl		optimum	0-1.5	%

[Ref.: #29671]

Observation

aggregates in chains

	Metabolite	Utilization activity	Kind of utilization tested
[Ref.: #29671]	arabinose ChEBI	+	carbon source
[Ref.: #29671]	cellobiose ChEBI	+	carbon source
[Ref.: #29671]	esculin ChEBI	+	hydrolysis
[Ref.: #29671]	fructose ChEBI	+	carbon source
[Ref.: #29671]	galactose ChEBI	+	carbon source
[Ref.: #29671]	glucose ChEBI	+	carbon source
[Ref.: #29671]	lactate ChEBI	+	carbon source
[Ref.: #29671]	lactose ChEBI	+	carbon source
[Ref.: #29671]	maltose ChEBI	+	carbon source
[Ref.: #29671]	mannose ChEBI	+	carbon source
[Ref.: #29671]	melibiose ChEBI	+	carbon source
[Ref.: #29671]	N-acetylglucosamine ChEBI	+	carbon source
[Ref.: #29671]	raffinose ChEBI	+	carbon source
[Ref.: #29671]	rhamnose ChEBI	+	carbon source
[Ref.: #29671]	ribose ChEBI	+	carbon source
[Ref.: #29671]	salicin ChEBI	+	carbon source
[Ref.: #29671]	sucrose ChEBI	+	carbon source
[Ref.: #29671]	trehalose ChEBI	+	carbon source
[Ref.: #29671]	xylose ChEBI	+	carbon source
	Only first 10 entries are displayed. Click here to see all.

	Enzyme	Enzyme activity	EC number
[Ref.: #29671]	acid phosphatase	+	3.1.3.2
[Ref.: #29671]	alkaline phosphatase	+	3.1.3.1
[Ref.: #29671]	catalase	+	1.11.1.6
[Ref.: #29671]	cytochrome oxidase	+	1.9.3.1

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

Information on isolation source, the sampling and environmental conditions Isolation, sampling and environmental information

[Ref.: #29671]	Sample type/isolated from	air sample
* marker position based on {}

Isolation sources categories

#Environmental

#Air

What are isolation sources categories?

[Ref.: #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

Information on genomic background e.g. entries in nucleic sequence databass Sequence information

16S Sequence information:

	Sequence accession description	Seq. accession number	Sequence length (bp)	Sequence database	Associated NCBI tax ID
[Ref.: #29671]	Adhaeribacter aerolatus strain 6515J-31 16S ribosomal RNA gene, partial sequence	GQ421846	1486	GenBank ENA	670289 tax ID
[Ref.: #124043]	Adhaeribacter aerolatus gene for 16S rRNA, partial sequence, strain: NBRC 106133.	AB682365	1449	GenBank ENA	670289 tax ID	*

Genome sequence information:

	Sequence accession description	Seq. accession number	Assembly level	Sequence database	Associated NCBI tax ID
[Ref.: #66792]	Adhaeribacter aerolatus NBRC 106133	GCA_007991635	contig	GenBank ENA	670289 tax ID	*
[Ref.: #66792]	Adhaeribacter aerolatus strain NBRC 106133	670289.3	wgs	PATRIC	670289 tax ID	*

[Ref.: #29671]

GC-content

43.9 mol%

Data predicted using genome information as a basis Genome-based predictions

	Model	Trait	Prediction	Confidence in %	In training data
	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.: #125438]	gram-positive	gram-positiveⓘ	no	94.876	yes
[Ref.: #125438]	anaerobic	anaerobicⓘ	no	98.303	yes
[Ref.: #125438]	spore-forming	spore-formingⓘ	no	81.7	yes
[Ref.: #125438]	aerobic	aerobicⓘ	yes	88.016	yes
[Ref.: #125438]	thermophile	thermophilicⓘ	no	96.49	yes
[Ref.: #125438]	motile2+	flagellatedⓘ	no	88.25	yes

	Model	Trait	Prediction	Confidence in %
	Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Adhaeribacter aerolatus NBRC 106133 NCBI: GCA_007991635
[Ref.: #125439]	BacteriaNet	spore_formationⓘ	no	98.7
[Ref.: #125439]	BacteriaNet	motilityⓘ	no	59.6
[Ref.: #125439]	BacteriaNet	gram_stainⓘ	negative	99.9
[Ref.: #125439]	BacteriaNet	oxygen_toleranceⓘ	obligate aerobe	98.3

Availability in culture collections External links

[Ref.: #29671]

Culture collection no.

KACC 14117, NBRC 106133

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 )

#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 (see below)

#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 .

#26057

IJSEM 2424 2010 ( DOI 10.1099/ijs.0.018374-0 , PubMed 19946049 )

* These data were automatically processed and therefore are not curated

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Adhaeribacter aerolatus strain NBRC 106133

Adhaeribacter aerolatus NBRC 106133

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