Alicyclobacillus macrosporangiidus (DSM 17980, IAM 15370, 5A-239-2O-A)

Name: Alicyclobacillus macrosporangiidus (DSM 17980, IAM 15370, 5A-239-2O-A)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 432

Type strain

Strain Designation 5A-239-2O-A

Culture col. no. DSM 17980 IAM 15370 5A-239-2O-A JCM 21814

NCBI tax ID(s) 392015

Special Collections DSMZ JCM Literature strains

History <- Keiichi Goto, 5-A239-2O-A IAM 15370 <-- K. Goto 5-A239-2O-A.

Links

Alicyclobacillus macrosporangiidus 5A-239-2O-A is an aerobe, spore-forming, Gram-positive bacterium that was isolated from soil, crop field.

spore-forming Gram-positive motile rod-shaped aerobe genome sequence 16S sequence Bacteria

Name and taxonomic classification

SI-ID 309421

DSM 17980,IAM 15370,JCM 21814

@ref 20215

Last LPSN update 2026-02-09 11:17:52

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Alicyclobacillaceae

Genus Alicyclobacillus

Species Alicyclobacillus macrosporangiidus

Full scientific name Alicyclobacillus macrosporangiidus Goto et al. 2007

Synonyms (1)

"Paenalicyclobacillus macrosporangiidus"

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility
31943	positive	05-06 µm	0.7-0.8 µm	rod-shaped

Pigmentation

31943

Productionno

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
7312	BACILLUS ACIDOCALDARIUS MEDIUM (DSMZ Medium 13)		Medium recipe at MediaDive	Name: BACILLUS ACIDOCALDARIUS MEDIUM (DSMZ Medium 13) Composition: Agar 20.0 g/l Glucose 1.0 g/l Yeast extract 1.0 g/l KH2PO4 0.6 g/l MgSO4 x 7 H2O 0.5 g/l CaCl2 x 2 H2O 0.25 g/l (NH4)2SO4 0.2 g/l Distilled water

Culture temp

@ref	Growth	Type	Temperature (°C)
7312	positive	growth	50
31943	positive	growth	35-60
31943	positive	optimum	50-55
67770	positive	growth	50

Culture pH

@ref	Ability	Type	PH	PH range
31943	positive	optimum	4.25
31943	positive	growth	4.0-4.5	acidophile

Physiology and metabolism

Oxygen tolerance

31943

Oxygen toleranceaerobe

Spore formation

@ref	Spore formation	Confidence
31943
125438		91.334

Halophily

@ref	Salt	Growth	Tested relation	Concentration
31943	NaCl	positive	growth	0-5 %
31943	NaCl	positive	optimum	2.5 %

Observation

67770

Observationquinones: MK-7

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
31943	22599 ChEBI	arabinose	+	carbon source
31943	33984 ChEBI	fucose	+	carbon source
31943	17754 ChEBI	glycerol	+	carbon source
31943	17716 ChEBI	lactose	+	carbon source
31943	17306 ChEBI	maltose	+	carbon source
31943	26546 ChEBI	rhamnose	+	carbon source
31943	17814 ChEBI	salicin	+	carbon source
31943	27082 ChEBI	trehalose	+	carbon source
31943	18222 ChEBI	xylose	+	carbon source

Enzymes

@ref	Value	Activity	Ec
31943	catalase	+	1.11.1.6

Pathway annotation

Computationally determined by

@ref	pathway	enzyme coverage	annotated reactions
66794	propanol degradation	100	7 of 7
66794	vitamin K metabolism	100	5 of 5
66794	cis-vaccenate biosynthesis	100	2 of 2
66794	palmitate biosynthesis	100	22 of 22
66794	adipate degradation	100	2 of 2
66794	valine metabolism	100	9 of 9
66794	lipoate biosynthesis	100	5 of 5
66794	methylglyoxal degradation	100	5 of 5
66794	L-lactaldehyde degradation	100	3 of 3
66794	gluconeogenesis	100	8 of 8
66794	folate polyglutamylation	100	1 of 1
66794	UDP-GlcNAc biosynthesis	100	3 of 3
66794	CDP-diacylglycerol biosynthesis	100	2 of 2
66794	suberin monomers biosynthesis	100	2 of 2
66794	sulfopterin metabolism	100	4 of 4
66794	anapleurotic synthesis of oxalacetate	100	1 of 1
66794	coenzyme A metabolism	100	4 of 4
66794	reductive acetyl coenzyme A pathway	100	7 of 7
66794	formaldehyde oxidation	100	3 of 3
66794	threonine metabolism	90	9 of 10
66794	chorismate metabolism	88.89	8 of 9
66794	serine metabolism	88.89	8 of 9
66794	C4 and CAM-carbon fixation	87.5	7 of 8
66794	glutamate and glutamine metabolism	85.71	24 of 28
66794	phenylalanine metabolism	84.62	11 of 13
66794	leucine metabolism	84.62	11 of 13
66794	glycolate and glyoxylate degradation	83.33	5 of 6
66794	pentose phosphate pathway	81.82	9 of 11
66794	metabolism of amino sugars and derivatives	80	4 of 5
66794	peptidoglycan biosynthesis	80	12 of 15
66794	propionate fermentation	80	8 of 10
66794	flavin biosynthesis	80	12 of 15
66794	citric acid cycle	78.57	11 of 14
66794	heme metabolism	78.57	11 of 14
66794	photosynthesis	78.57	11 of 14
66794	tetrahydrofolate metabolism	78.57	11 of 14
66794	CO2 fixation in Crenarchaeota	77.78	7 of 9
66794	vitamin B1 metabolism	76.92	10 of 13
66794	vitamin B12 metabolism	76.47	26 of 34
66794	purine metabolism	75.53	71 of 94
66794	isoleucine metabolism	75	6 of 8
66794	acetate fermentation	75	3 of 4
66794	methionine metabolism	73.08	19 of 26
66794	alanine metabolism	72.41	21 of 29
66794	cysteine metabolism	72.22	13 of 18
66794	NAD metabolism	72.22	13 of 18
66794	ubiquinone biosynthesis	71.43	5 of 7
66794	glutathione metabolism	71.43	10 of 14
66794	cardiolipin biosynthesis	71.43	5 of 7
66794	Entner Doudoroff pathway	70	7 of 10
66794	myo-inositol biosynthesis	70	7 of 10
66794	urea cycle	69.23	9 of 13
66794	acetoin degradation	66.67	2 of 3
66794	enterobactin biosynthesis	66.67	2 of 3
66794	aspartate and asparagine metabolism	66.67	6 of 9
66794	d-mannose degradation	66.67	6 of 9
66794	molybdenum cofactor biosynthesis	66.67	6 of 9
66794	glycolysis	64.71	11 of 17
66794	lipid metabolism	64.52	20 of 31
66794	pyrimidine metabolism	64.44	29 of 45
66794	vitamin B6 metabolism	63.64	7 of 11
66794	proline metabolism	63.64	7 of 11
66794	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	62.5	5 of 8
66794	degradation of sugar alcohols	62.5	10 of 16
66794	ketogluconate metabolism	62.5	5 of 8
66794	oxidative phosphorylation	61.54	56 of 91
66794	isoprenoid biosynthesis	61.54	16 of 26
66794	degradation of pentoses	60.71	17 of 28
66794	non-pathway related	60.53	23 of 38
66794	factor 420 biosynthesis	60	3 of 5
66794	glycogen metabolism	60	3 of 5
66794	4-hydroxyphenylacetate degradation	60	6 of 10
66794	gallate degradation	60	3 of 5
66794	histidine metabolism	58.62	17 of 29
66794	arginine metabolism	58.33	14 of 24
66794	degradation of sugar acids	56	14 of 25
66794	degradation of hexoses	55.56	10 of 18
66794	tryptophan metabolism	55.26	21 of 38
66794	lysine metabolism	54.76	23 of 42
66794	butanoate fermentation	50	2 of 4
66794	phenylmercury acetate degradation	50	1 of 2
66794	lactate fermentation	50	2 of 4
66794	kanosamine biosynthesis II	50	1 of 2
66794	dolichol and dolichyl phosphate biosynthesis	50	1 of 2
66794	toluene degradation	50	2 of 4
66794	biotin biosynthesis	50	2 of 4
66794	phenol degradation	50	10 of 20
66794	ribulose monophosphate pathway	50	1 of 2
66794	aminopropanol phosphate biosynthesis	50	1 of 2
66794	coenzyme M biosynthesis	50	5 of 10
66794	glycogen biosynthesis	50	2 of 4
66794	CMP-KDO biosynthesis	50	2 of 4
66794	glycine metabolism	50	5 of 10
66794	ethanol fermentation	50	1 of 2
66794	degradation of aromatic, nitrogen containing compounds	50	6 of 12
66794	polyamine pathway	47.83	11 of 23
66794	phosphatidylethanolamine bioynthesis	46.15	6 of 13
66794	tyrosine metabolism	42.86	6 of 14
66794	3-chlorocatechol degradation	40	2 of 5
66794	arachidonate biosynthesis	40	2 of 5
66794	phenylacetate degradation (aerobic)	40	2 of 5
66794	glycine betaine biosynthesis	40	2 of 5
66794	sulfate reduction	38.46	5 of 13
66794	dTDPLrhamnose biosynthesis	37.5	3 of 8
66794	metabolism of disaccharids	36.36	4 of 11
66794	d-xylose degradation	36.36	4 of 11
66794	selenocysteine biosynthesis	33.33	2 of 6
66794	3-phenylpropionate degradation	33.33	5 of 15
66794	lipid A biosynthesis	33.33	3 of 9
66794	cyanate degradation	33.33	1 of 3
66794	IAA biosynthesis	33.33	1 of 3
66794	pantothenate biosynthesis	33.33	2 of 6
66794	octane oxidation	33.33	1 of 3
66794	(5R)-carbapenem carboxylate biosynthesis	33.33	1 of 3
66794	acetyl CoA biosynthesis	33.33	1 of 3
66794	ascorbate metabolism	31.82	7 of 22
66794	starch degradation	30	3 of 10
66794	benzoyl-CoA degradation	28.57	2 of 7
66794	arachidonic acid metabolism	27.78	5 of 18
66794	ppGpp biosynthesis	25	1 of 4
66794	cyclohexanol degradation	25	1 of 4
66794	phenylpropanoid biosynthesis	23.08	3 of 13
66794	4-hydroxymandelate degradation	22.22	2 of 9

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Engineered	#Agriculture	#Field
#Environmental	#Terrestrial	#Soil
#Host	#Plants	#Herbaceous plants (Grass,Crops)

Isolation

@ref	Sample type	Geographic location	Country	Country ISO 3 Code	Continent
7312	soil, crop field	Fujieda city	Japan	JPN	Asia
67770	Soil of a crop field in Fujieda City	Shizuoka Pref.	Japan	JPN	Asia

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
7312	1	Risk group (German 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	IMG-taxon 2675903231 annotated assembly for Alicyclobacillus macrosporangiidus DSM 17980	scaffold	GCA_900116805	392015.5	2675903231	392015	58.22

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
7312	Alicyclobacillus macrosporangiidus gene for 16S ribosomal RNA, partial sequence	AB264025	1526		392015

GC content

@ref	GC-content (mol%)	Method
7312	62.5
67770	62.5	high performance liquid chromatography (HPLC)

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Alicyclobacillus macrosporangiidus DSM 17980
NCBI: GCA_900116805

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	66.00	no
125439	motility	BacteriaNetⓘ	yes	65.30	no
125439	gram_stain	BacteriaNetⓘ	negative	72.80	no
125439	oxygen_tolerance	BacteriaNetⓘ	aerobe	66.50	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Alicyclobacillus macrosporangiidus DSM 17980
NCBI: GCA_900116805.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	67.70	no
125438	anaerobic	anaerobicⓘ	no	91.71	yes
125438	aerobic	aerobicⓘ	yes	79.27	yes
125438	spore-forming	spore-formingⓘ	yes	91.33	yes
125438	thermophilic	thermophileⓘ	yes	61.44	yes
125438	flagellated	motile2+ⓘ	yes	72.41	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Repurposing CRISPR-Cas12b for mammalian genome engineering.	Teng F, Cui T, Feng G, Guo L, Xu K, Gao Q, Li T, Li J, Zhou Q, Li W.	Cell Discov	10.1038/s41421-018-0069-3	2018
Phylogeny	Proposal of six species of moderately thermophilic, acidophilic, endospore-forming bacteria: Alicyclobacillus contaminans sp. nov., Alicyclobacillus fastidiosus sp. nov., Alicyclobacillus kakegawensis sp. nov., Alicyclobacillus macrosporangiidus sp. nov., Alicyclobacillus sacchari sp. nov. and Alicyclobacillus shizuokensis sp. nov.	Goto K, Mochida K, Kato Y, Asahara M, Fujita R, An SY, Kasai H, Yokota A	Int J Syst Evol Microbiol	10.1099/ijs.0.64692-0	2007

References

#7312	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 17980
#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 )
#28199	IJSEM 1276 2007 ( DOI 10.1099/ijs.0.64692-0 , PubMed 17551043 )
#31943	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 #28199
#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 )
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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Alicyclobacillus macrosporangiidus (DSM 17980, IAM 15370, 5A-239-2O-A)

Name and taxonomic classification

Morphology

Cell morphology

Pigmentation

Culture and growth conditions

Culture medium

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

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_900116805

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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