Aquicella lusitana (DSM 16500, CIP 107650, LMG 21647)

Name: Aquicella lusitana (DSM 16500, CIP 107650, LMG 21647)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 3246

Type strain

Strain Designation SGT-39

Culture col. no. DSM 16500 CIP 107650 LMG 21647 CCUG 48880 SGT-39

NCBI tax ID(s) 254246

Special Collections DSMZ CCUG CIP

History <- CIP <- M. S. da Costa; SGT-39 CIP <- 2002, Milton S. da Costa, Coimbra, Portugal: SGT-39

Links

Aquicella lusitana SGT-39 is a microaerophile, Gram-negative, rod-shaped bacterium that was isolated from water at the spa.

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

Name and taxonomic classification

SI-ID 88961

LMG 21647,CIP 107650,DSM 16500,CCUG 48880

@ref 20215

Last LPSN update 2026-02-09 11:18:27

Domain Bacteria

Phylum Pseudomonadota

Class Gammaproteobacteria

Order Legionellales

Family Coxiellaceae

Genus Aquicella

Species Aquicella lusitana

Full scientific name Aquicella lusitana Santos et al. 2004

Morphology

Cell morphology

@ref	Gram stain	Cell shape	Confidence
120679	negative	rod-shaped
125438	negative		97.5
125439	negative		99.6

Culture and growth conditions

Culture medium

@ref	Name	Medium link	Composition
6377	BCYE-AGAR (DSMZ Medium 585)	Medium recipe at MediaDive	Name: BCYE AGAR (DSMZ Medium 585) Composition: OXOID Legionella CYE-Agar base
39914	MEDIUM 23 - for Afipia and Legionella		Distilled water make up to (1000.000 ml);Legionella agar (37.000 g);Legionella - enrichment mixture (10.000 ml)
120679	CIP Medium 23	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)
6377	positive	growth	37
39914	positive	growth	37
58377	positive	growth	37

Physiology and metabolism

Oxygen tolerance

58377

Oxygen tolerancemicroaerophile

Spore formation

@ref	Spore formation	Confidence
125438		91.266
125439		99.5

Enzymes

@ref	Value	Activity	Ec
68382	acid phosphatase	+	3.1.3.2	from API zym
68382	alkaline phosphatase	-	3.1.3.1	from API zym
68382	alpha-chymotrypsin	-	3.4.21.1	from API zym
68382	alpha-fucosidase	-	3.2.1.51	from API zym
68382	alpha-galactosidase	-	3.2.1.22	from API zym
68382	alpha-glucosidase	-	3.2.1.20	from API zym
68382	alpha-mannosidase	-	3.2.1.24	from API zym
68382	beta-galactosidase	-	3.2.1.23	from API zym
68382	beta-glucosidase	-	3.2.1.21	from API zym
68382	beta-glucuronidase	-	3.2.1.31	from API zym
120679	catalase	-	1.11.1.6
68382	cystine arylamidase	-	3.4.11.3	from API zym
68382	esterase (C 4)	+		from API zym
68382	esterase lipase (C 8)	+		from API zym
68382	leucine arylamidase	+	3.4.11.1	from API zym
68382	lipase (C 14)	-		from API zym
68382	N-acetyl-beta-glucosaminidase	-	3.2.1.52	from API zym
68382	naphthol-AS-BI-phosphohydrolase	-		from API zym
120679	oxidase	-
68382	trypsin	-	3.4.21.4	from API zym
68382	valine arylamidase	-		from API zym

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	formaldehyde oxidation	100	3 of 3
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	gluconeogenesis	100	8 of 8
66794	coenzyme A metabolism	100	4 of 4
66794	ethanol fermentation	100	2 of 2
66794	acetate fermentation	100	4 of 4
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	adipate degradation	100	2 of 2
66794	palmitate biosynthesis	100	22 of 22
66794	suberin monomers biosynthesis	100	2 of 2
66794	folate polyglutamylation	100	1 of 1
66794	biotin biosynthesis	100	4 of 4
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	lipid A biosynthesis	88.89	8 of 9
66794	C4 and CAM-carbon fixation	87.5	7 of 8
66794	heme metabolism	85.71	12 of 14
66794	reductive acetyl coenzyme A pathway	85.71	6 of 7
66794	phenylalanine metabolism	84.62	11 of 13
66794	hydrogen production	80	4 of 5
66794	glycogen metabolism	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	photosynthesis	78.57	11 of 14
66794	d-mannose degradation	77.78	7 of 9
66794	serine metabolism	77.78	7 of 9
66794	CO2 fixation in Crenarchaeota	77.78	7 of 9
66794	leucine metabolism	76.92	10 of 13
66794	vitamin B1 metabolism	76.92	10 of 13
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
66794	ppGpp biosynthesis	75	3 of 4
66794	CMP-KDO biosynthesis	75	3 of 4
66794	purine metabolism	74.47	70 of 94
66794	flavin biosynthesis	73.33	11 of 15
66794	vitamin B6 metabolism	72.73	8 of 11
66794	NAD metabolism	72.22	13 of 18
66794	ubiquinone biosynthesis	71.43	5 of 7
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	tetrahydrofolate metabolism	71.43	10 of 14
66794	glycolysis	70.59	12 of 17
66794	glutamate and glutamine metabolism	67.86	19 of 28
66794	aspartate and asparagine metabolism	66.67	6 of 9
66794	acetoin degradation	66.67	2 of 3
66794	L-lactaldehyde degradation	66.67	2 of 3
66794	cyanate degradation	66.67	2 of 3
66794	pyrimidine metabolism	66.67	30 of 45
66794	lipid metabolism	64.52	20 of 31
66794	tyrosine metabolism	64.29	9 of 14
66794	pentose phosphate pathway	63.64	7 of 11
66794	lysine metabolism	61.9	26 of 42
66794	methylglyoxal degradation	60	3 of 5
66794	threonine metabolism	60	6 of 10
66794	cellulose degradation	60	3 of 5
66794	non-pathway related	57.89	22 of 38
66794	citric acid cycle	57.14	8 of 14
66794	glutathione metabolism	57.14	8 of 14
66794	propanol degradation	57.14	4 of 7
66794	valine metabolism	55.56	5 of 9
66794	methionine metabolism	53.85	14 of 26
66794	polyamine pathway	52.17	12 of 23
66794	alanine metabolism	51.72	15 of 29
66794	sulfopterin metabolism	50	2 of 4
66794	Entner Doudoroff pathway	50	5 of 10
66794	ribulose monophosphate pathway	50	1 of 2
66794	glycogen biosynthesis	50	2 of 4
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	myo-inositol biosynthesis	50	5 of 10
66794	catecholamine biosynthesis	50	2 of 4
66794	phenylmercury acetate degradation	50	1 of 2
66794	quinate degradation	50	1 of 2
66794	ketogluconate metabolism	50	4 of 8
66794	butanoate fermentation	50	2 of 4
66794	sphingosine metabolism	50	3 of 6
66794	isoleucine metabolism	50	4 of 8
66794	propionate fermentation	50	5 of 10
66794	oxidative phosphorylation	48.35	44 of 91
66794	3-phenylpropionate degradation	46.67	7 of 15
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	cysteine metabolism	44.44	8 of 18
66794	chorismate metabolism	44.44	4 of 9
66794	mevalonate metabolism	42.86	3 of 7
66794	tryptophan metabolism	42.11	16 of 38
66794	degradation of aromatic, nitrogen containing compounds	41.67	5 of 12
66794	glycine betaine biosynthesis	40	2 of 5
66794	bacilysin biosynthesis	40	2 of 5
66794	glycine metabolism	40	4 of 10
66794	vitamin K metabolism	40	2 of 5
66794	phenylacetate degradation (aerobic)	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	lipoate biosynthesis	40	2 of 5
66794	sulfate reduction	38.46	5 of 13
66794	phenylpropanoid biosynthesis	38.46	5 of 13
66794	histidine metabolism	37.93	11 of 29
66794	degradation of sugar alcohols	37.5	6 of 16
66794	isoprenoid biosynthesis	34.62	9 of 26
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	enterobactin biosynthesis	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	octane oxidation	33.33	1 of 3
66794	4-hydroxymandelate degradation	33.33	3 of 9
66794	pantothenate biosynthesis	33.33	2 of 6
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	degradation of pentoses	32.14	9 of 28
66794	androgen and estrogen metabolism	31.25	5 of 16
66794	coenzyme M biosynthesis	30	3 of 10
66794	degradation of hexoses	27.78	5 of 18
66794	arachidonic acid metabolism	27.78	5 of 18
66794	ascorbate metabolism	27.27	6 of 22
66794	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
66794	d-xylose degradation	27.27	3 of 11
66794	phenol degradation	25	5 of 20
66794	carnitine metabolism	25	2 of 8
66794	lactate fermentation	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	toluene degradation	25	1 of 4
66794	vitamin E metabolism	25	1 of 4
66794	urea cycle	23.08	3 of 13
66794	nitrate assimilation	22.22	2 of 9

API zym

@ref	Control	Alkaline phosphatase	Esterase (C 4)	2-naphtyl caprylateEsterase Lipase (C 8)	Lipase (C 14)	L-leucyl-2-naphthylamideLeucine arylamidase	L-valyl-2-naphthylamideValine arylamidase	L-cystyl-2-naphthylamideCystine arylamidase	Trypsin	alpha- Chymotrypsin	Acid phosphatase	Naphthol-AS-BI-phosphateNaphthol-AS-BI-phosphohydrolase	alpha- Galactosidase	beta- Galactosidase	beta- Glucuronidase	alpha- Glucosidase	beta- Glucosidase	N-acetyl-beta- glucosaminidase	alpha- Mannosidase	alpha- Fucosidase
120679	-	-	+	+	-	+	-	-	-	-	+	-	-	-	-	-	-	-	-	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2
#Environmental	#Aquatic

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
6377	water at the spa	Sao Gemil	Portugal	PRT	Europe
58377	Water,borehole at spa		Portugal	PRT	Europe
120679	Environment, Borehole water at spa		Portugal	PRT	Europe

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
6377	1	Risk group (German classification) According to TRBA 466
120679	1	Risk group (French classification) According to TRBA 466

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	pb_189-1_HGAP3_CTR assembly for Aquicella lusitana SGT-39	complete	GCA_902459475	254246.4	8062828387	254246	84.88
66792	ASM335045v1 assembly for Aquicella lusitana DSM 16500	scaffold	GCA_003350455	254246.3	2756170232	254246	51.57

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
20218	Aquicella lusitana strain SGT-39T 16S ribosomal RNA gene, partial sequence	AY359282	1482		254246

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Aquicella lusitana SGT-39
NCBI: GCA_902459475

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	no	99.50	no
125439	motility	BacteriaNetⓘ	no	50.90	no
125439	gram_stain	BacteriaNetⓘ	negative	99.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	89.40	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Aquicella lusitana SGT-39
NCBI: GCA_902459475.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	97.50	no
125438	anaerobic	anaerobicⓘ	no	90.66	no
125438	aerobic	aerobicⓘ	no	71.53	yes
125438	spore-forming	spore-formingⓘ	no	91.27	no
125438	thermophilic	thermophileⓘ	no	85.62	yes
125438	flagellated	motile2+ⓘ	no	57.68	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Gamma-proteobacteria Aquicella lusitana gen. nov., sp. nov., and Aquicella siphonis sp. nov. infect protozoa and require activated charcoal for growth in laboratory media.	Santos P, Pinhal I, Rainey FA, Empadinhas N, Costa J, Fields B, Benson R, Verissimo A, Da Costa MS	Appl Environ Microbiol	10.1128/AEM.69.11.6533-6540.2003	2003

References

#6377	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 16500
#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 )
#20218	Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 )
#39914	; Curators of the CIP;
#58377	Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 48880
#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 )
#68382	Automatically annotated from API zym .
#120679	Collection of Institut Pasteur ; Curators of the CIP; CIP 107650
#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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Aquicella lusitana (DSM 16500, CIP 107650, LMG 21647)

Name and taxonomic classification

Morphology

Cell morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Enzymes

Pathway annotation

API zym

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_902459475

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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