Cite this strain

"Candidatus Aciduliprofundum boonei" (DSM 19572, T469)

BacDive ID 23434

Type strain

Strain Designation T469

Culture col. no. DSM 19572 T469

NCBI tax ID(s) 439481 379547

Special Collections DSMZ

Links

"Candidatus Aciduliprofundum boonei" T469 is an anaerobe, thermophilic prokaryote that was isolated from deep-sea hydrothermal vent.

anaerobe thermophilic genome sequence 16S sequence

Name and taxonomic classification

SI-ID 401632

DSM 19572

@ref 20215

Last LPSN update 2025-12-16 09:52:39

Domain Methanobacteriati

Phylum Methanobacteriota

Class Thermoplasmata

Order "Candidatus Aciduliprofundales"

Family "Candidatus Aciduliprofundaceae"

Genus "Candidatus Aciduliprofundum"

Species "Candidatus Aciduliprofundum boonei"

Full scientific name Candidatus Aciduliprofundum boonei Reysenbach et al. 2006

Morphology

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
8186	ACIDULIPROFUNDUM MEDIUM (DSMZ Medium 1083)		Medium recipe at MediaDive	Name: ACIDULIPROFUNDUM MEDIUM (DSMZ Medium 1083) Composition: Sulfur 9.99001 g/l Na3-citrate 2.93706 g/l MgCl2 x 6 H2O 2.74725 g/l Tryptone 0.999001 g/l Yeast extract 0.999001 g/l Na2S x 9 H2O 0.499501 g/l KCl 0.32967 g/l KH2PO4 0.27972 g/l (NH4)2SO4 0.0999001 g/l NaBr 0.04995 g/l MgSO4 x 7 H2O 0.02997 g/l NaCl 0.00999001 g/l MnSO4 x H2O 0.00499501 g/l (NH4)2Ni(SO4)2 x 6 H2O 0.0027972 g/l ZnSO4 x 7 H2O 0.0017982 g/l CoCl2 x 6 H2O 0.0017982 g/l FeSO4 x 7 H2O 0.000999001 g/l CaCl2 x 2 H2O 0.000999001 g/l Sodium resazurin 0.0004995 g/l AlK(SO4)2 x 12 H2O 0.00017982 g/l Na2WO4 x 2 H2O 9.99001e-05 g/l Na2SeO4 9.99001e-05 g/l Na2MoO4 x 2 H2O 9.99001e-05 g/l H3BO3 9.99001e-05 g/l CuSO4 x 5 H2O 9.99001e-05 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
8186	positive	growth	70	thermophilic

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
8186	anaerobe
125439	anaerobe	99.5

Spore formation

@ref	Spore formation	Confidence
125438		91.985

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	cellulose degradation	100	5 of 5
66794	suberin monomers biosynthesis	100	2 of 2
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	ribulose monophosphate pathway	100	2 of 2
66794	coenzyme A metabolism	100	4 of 4
66794	folate polyglutamylation	100	1 of 1
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	100	8 of 8
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	photosynthesis	92.86	13 of 14
66794	aspartate and asparagine metabolism	88.89	8 of 9
66794	lipoate biosynthesis	80	4 of 5
66794	hydrogen production	80	4 of 5
66794	molybdenum cofactor biosynthesis	77.78	7 of 9
66794	NAD metabolism	77.78	14 of 18
66794	pyrimidine metabolism	77.78	35 of 45
66794	palmitate biosynthesis	77.27	17 of 22
66794	C4 and CAM-carbon fixation	75	6 of 8
66794	glycogen biosynthesis	75	3 of 4
66794	flavin biosynthesis	73.33	11 of 15
66794	pentose phosphate pathway	72.73	8 of 11
66794	purine metabolism	72.34	68 of 94
66794	reductive acetyl coenzyme A pathway	71.43	5 of 7
66794	acetoin degradation	66.67	2 of 3
66794	enterobactin biosynthesis	66.67	2 of 3
66794	glycolysis	64.71	11 of 17
66794	gluconeogenesis	62.5	5 of 8
66794	glutamate and glutamine metabolism	60.71	17 of 28
66794	propionate fermentation	60	6 of 10
66794	glycine betaine biosynthesis	60	3 of 5
66794	creatinine degradation	60	3 of 5
66794	citric acid cycle	57.14	8 of 14
66794	d-mannose degradation	55.56	5 of 9
66794	serine metabolism	55.56	5 of 9
66794	CO2 fixation in Crenarchaeota	55.56	5 of 9
66794	urea cycle	53.85	7 of 13
66794	vitamin B1 metabolism	53.85	7 of 13
66794	leucine metabolism	53.85	7 of 13
66794	polyamine pathway	52.17	12 of 23
66794	acetate fermentation	50	2 of 4
66794	tetrahydrofolate metabolism	50	7 of 14
66794	cis-vaccenate biosynthesis	50	1 of 2
66794	dTDPLrhamnose biosynthesis	50	4 of 8
66794	pantothenate biosynthesis	50	3 of 6
66794	ethanol fermentation	50	1 of 2
66794	toluene degradation	50	2 of 4
66794	biotin biosynthesis	50	2 of 4
66794	glycine metabolism	50	5 of 10
66794	starch degradation	50	5 of 10
66794	dolichol and dolichyl phosphate biosynthesis	50	1 of 2
66794	glycolate and glyoxylate degradation	50	3 of 6
66794	degradation of aromatic, nitrogen containing compounds	50	6 of 12
66794	isoleucine metabolism	50	4 of 8
66794	butanoate fermentation	50	2 of 4
66794	lipid metabolism	48.39	15 of 31
66794	alanine metabolism	48.28	14 of 29
66794	sulfate reduction	46.15	6 of 13
66794	phenylalanine metabolism	46.15	6 of 13
66794	arginine metabolism	45.83	11 of 24
66794	histidine metabolism	44.83	13 of 29
66794	cysteine metabolism	44.44	8 of 18
66794	ubiquinone biosynthesis	42.86	3 of 7
66794	non-pathway related	42.11	16 of 38
66794	bacilysin biosynthesis	40	2 of 5
66794	methylglyoxal degradation	40	2 of 5
66794	glycogen metabolism	40	2 of 5
66794	coenzyme M biosynthesis	40	4 of 10
66794	isoprenoid biosynthesis	38.46	10 of 26
66794	methionine metabolism	38.46	10 of 26
66794	lysine metabolism	38.1	16 of 42
66794	ketogluconate metabolism	37.5	3 of 8
66794	dolichyl-diphosphooligosaccharide biosynthesis	36.36	4 of 11
66794	proline metabolism	36.36	4 of 11
66794	oxidative phosphorylation	36.26	33 of 91
66794	tyrosine metabolism	35.71	5 of 14
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	cyanate degradation	33.33	1 of 3
66794	degradation of hexoses	33.33	6 of 18
66794	valine metabolism	33.33	3 of 9
66794	formaldehyde oxidation	33.33	1 of 3
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	sphingosine metabolism	33.33	2 of 6
66794	lipid A biosynthesis	33.33	3 of 9
66794	octane oxidation	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	Entner Doudoroff pathway	30	3 of 10
66794	myo-inositol biosynthesis	30	3 of 10
66794	threonine metabolism	30	3 of 10
66794	4-hydroxyphenylacetate degradation	30	3 of 10
66794	tryptophan metabolism	28.95	11 of 38
66794	propanol degradation	28.57	2 of 7
66794	cardiolipin biosynthesis	28.57	2 of 7
66794	mevalonate metabolism	28.57	2 of 7
66794	vitamin B6 metabolism	27.27	3 of 11
66794	metabolism of disaccharids	27.27	3 of 11
66794	peptidoglycan biosynthesis	26.67	4 of 15
66794	alginate biosynthesis	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	vitamin E metabolism	25	1 of 4
66794	CMP-KDO biosynthesis	25	1 of 4
66794	catecholamine biosynthesis	25	1 of 4
66794	sulfopterin metabolism	25	1 of 4
66794	phenol degradation	25	5 of 20
66794	ppGpp biosynthesis	25	1 of 4
66794	lactate fermentation	25	1 of 4
66794	nitrate assimilation	22.22	2 of 9
66794	allantoin degradation	22.22	2 of 9
66794	degradation of pentoses	21.43	6 of 28
66794	glutathione metabolism	21.43	3 of 14

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Hydrothermal vent
#Environmental	#Aquatic	#Marine
#Condition	#Thermophilic (>45°C)	-

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent	Latitude	Longitude
8186	deep-sea hydrothermal vent	Western Pacific Ocean, Eastern Lau Spreading Center, Mariner vent field	Tonga	TON	Australia and Oceania	-22.18	-176.602 -22.18/-176.602

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM2566v1 assembly for Aciduliprofundum boonei T469	complete	GCA_000025665	439481.9	646564501	439481	97.89
66792	ASM15108v1 assembly for Aciduliprofundum boonei T469	scaffold	GCA_000151085	439481.10		439481

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
8186	Aciduliprofundum boonei strain T469 16S ribosomal RNA gene, partial sequence	DQ451875	1409		439481

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Aciduliprofundum boonei T469
NCBI: GCA_000025665

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	81.10	no
125439	motility	BacteriaNetⓘ	yes	61.60	no
125439	gram_stain	BacteriaNetⓘ	variable	70.40	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	99.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Aciduliprofundum boonei T469 T469
NCBI: GCA_000025665.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	no	71.61	no
125438	anaerobic	anaerobicⓘ	yes	88.48	yes
125438	aerobic	aerobicⓘ	no	92.43	yes
125438	spore-forming	spore-formingⓘ	no	91.99	no
125438	thermophilic	thermophileⓘ	yes	78.78	yes
125438	flagellated	motile2+ⓘ	no	84.50	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Metabolism	Computational comparative study of tuberculosis proteomes using a model learned from signal peptide structures.	Lai JS, Cheng CW, Sung TY, Hsu WL.	PLoS One	10.1371/journal.pone.0035018	2012
Phylogeny	Methanomassiliicoccus luminyensis gen. nov., sp. nov., a methanogenic archaeon isolated from human faeces.	Dridi B, Fardeau ML, Ollivier B, Raoult D, Drancourt M	Int J Syst Evol Microbiol	10.1099/ijs.0.033712-0	2012

References

#8186	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 19572
#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) .
#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 )
#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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"Candidatus Aciduliprofundum boonei" (DSM 19572, T469)

Name and taxonomic classification

Morphology

Culture and growth conditions

Culture medium

Culture temp

Physiology and metabolism

Oxygen tolerance

Spore formation

Pathway annotation

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_000025665

16S sequences

Genome-based predictions

Predictions

Literature

Literature

References

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