Alicyclobacillus contaminans (DSM 17975, IAM 15224, 3-A191)

Name: Alicyclobacillus contaminans (DSM 17975, IAM 15224, 3-A191)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 429

Type strain

Strain Designation 3-A191

Culture col. no. DSM 17975 IAM 15224 3-A191 NBRC 103102 JCM 21678

NCBI tax ID(s) 1120971 392016

Special Collections DSMZ JCM Literature strains

History DSMZ <- Keiichi Goto, 3-A191 JCM <-- IAM 15224 <-- K. Goto 3-A191.

Links

Alicyclobacillus contaminans 3-A191 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 309418

DSM 17975,IAM 15224,JCM 21678,NBRC 103102

@ref 20215

Last LPSN update 2026-05-29 08:25:01

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Alicyclobacillaceae

Genus Alicyclobacillus

Species Alicyclobacillus contaminans

Full scientific name Alicyclobacillus contaminans Goto et al. 2007

Synonyms (1)

"Paenalicyclobacillus contaminans"

BacDive ID	Other strains from **Alicyclobacillus contaminans** (1)	Type strain
163235	A. contaminans JCM 21682, IAM 15228

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility
31943	positive	04-05 µm	0.8-0.9 µm	rod-shaped

Pigmentation

31943

Productionno

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
7307	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)
7307	positive	growth	55
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	4-4.5	acidophile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
31943	aerobe
125439	facultative anaerobe	91.189

Spore formation

31943

Spore formationyes

Halophily

@ref	Salt	Growth	Tested relation	Concentration
31943	NaCl	positive	growth	0-2 %
31943	NaCl	positive	optimum	1 %

Observation

67770

Observationquinones: MK-7

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
31943	22599 ChEBI	arabinose	+	carbon source
31943	17057 ChEBI	cellobiose	+	carbon source
31943	17754 ChEBI	glycerol	+	carbon source
31943	17716 ChEBI	lactose	+	carbon source
31943	17306 ChEBI	maltose	+	carbon source
31943	506227 ChEBI	N-acetylglucosamine	+	carbon source
31943	26546 ChEBI	rhamnose	+	carbon source
31943	17814 ChEBI	salicin	+	carbon source
31943	17992 ChEBI	sucrose	+	carbon source
31943	27082 ChEBI	trehalose	+	carbon source
31943	18222 ChEBI	xylose	+	carbon source

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
7307	soil, crop field	Fuji city	Japan	JPN	Asia
67770	Soil of a crop field in Fuji City	Shizuoka Pref.	Japan	JPN	Asia

Taxonmaps

69479

Global distribution of 16S sequence AB264026 (>99% sequence identity) for Alicyclobacillus contaminans subclade from Microbeatlas

Aquatic Samples	205
Soil Samples	1229
Animal Samples	166
Plant Samples	420
Total Samples	2020

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
7307	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
67770	ASM42952v1 assembly for Alicyclobacillus contaminans DSM 17975	scaffold	GCA_000429525	1120971.3	2524023143	1120971	50.54
124043	ASM3016169v1 assembly for Alicyclobacillus contaminans NBRC 103102	contig	GCA_030161695	392016.4		392016	0

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
7307	Alicyclobacillus contaminans gene for 16S ribosomal RNA, partial sequence	AB264026	1520		392016
124043	Alicyclobacillus contaminans gene for 16S rRNA, partial sequence, strain: NBRC 103102.	AB681941	1472		392016

GC content

@ref	GC-content (mol%)	Method
7307	60.1
31943	60.1-60.6
67770	60.6	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: ASM42952v1 assembly for Alicyclobacillus contaminans DSM 17975
NCBI: GCA_000429525

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	91.19	no
125439	gram_stain	BacteriaNetⓘ	positive	40.81	no
125439	motility	BacteriaNetⓘ	yes	51.26	no
125439	spore_formation	BacteriaNetⓘ	yes	57.76	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Alicyclobacillus contaminans DSM 17975
PATRIC: 1120971.3

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	70.07	yes
125438	anaerobic	anaerobicⓘ	no	93.69	yes
125438	spore-forming	spore-formingⓘ	yes	89.99	yes
125438	aerobic	aerobicⓘ	yes	80.34	yes
125438	thermophilic	thermophileⓘ	yes	57.16	yes
125438	flagellated	motile2+ⓘ	yes	71.97	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Alicyclobacillus contamination in the production line of kiwi products in China.	Zhang J, Yue T, Yuan Y.	PLoS One	10.1371/journal.pone.0067704	2013
	Melanin is a plenteous bioactive phenolic compound in date fruits (Phoenix dactylifera L.).	Alam MZ, Ramachandran T, Antony A, Hamed F, Ayyash M, Kamal-Eldin A.	Sci Rep	10.1038/s41598-022-10546-9	2022
Genetics	Omics on bioleaching: current and future impacts.	Martinez P, Vera M, Bobadilla-Fazzini RA.	Appl Microbiol Biotechnol	10.1007/s00253-015-6903-8	2015
	Determination of Antibacterial and Technological Properties of Vaginal Lactobacilli for Their Potential Application in Dairy Products.	Siroli L, Patrignani F, Serrazanetti DI, Parolin C, Nahui Palomino RA, Vitali B, Lanciotti R.	Front Microbiol	10.3389/fmicb.2017.00166	2017
	A defined, glucose-limited mineral medium for the cultivation of Listeria spp.	Schneebeli R, Egli T.	Appl Environ Microbiol	10.1128/aem.03538-12	2013
Phylogeny	Listeria weihenstephanensis sp. nov., isolated from the water plant Lemna trisulca taken from a freshwater pond.	Lang Halter E, Neuhaus K, Scherer S.	Int J Syst Evol Microbiol	10.1099/ijs.0.036830-0	2013
Phylogeny	Alicyclobacillus tengchongensis sp. nov., a thermo-acidophilic bacterium isolated from hot spring soil.	Kim MG, Lee JC, Park DJ, Li WJ, Kim CJ	J Microbiol	10.1007/s12275-014-3625-z	2014
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

#7307	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 17975
#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
#67770	Japan Collection of Microorganism (JCM) ; Curators of the JCM;
#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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Alicyclobacillus contaminans (DSM 17975, IAM 15224, 3-A191)

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

Isolation, sampling and environmental information

Isolation source categories

Isolation

Taxonmaps

Interaction and safety

Risk assessment

Sequence information

Genome sequences

Genome browser: GCA_000429525

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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