Peribacillus acanthi (DSM 104296, MCCC 1K03287, L28)

Name: Peribacillus acanthi (DSM 104296, MCCC 1K03287, L28)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 158416

Type strain

Strain Designation L28

Culture col. no. DSM 104296 MCCC 1K03287 L28

NCBI tax ID(s) 2171554

Special Collections DSMZ Literature strains

History <- Q. Yin; Shenzhen University, Shenzhen, P.R. CHINA; L28

Links

Peribacillus acanthi L28 is an aerobe, spore-forming, Gram-positive bacterium that forms circular colonies and was isolated from Mai Po Inner Deep Bay rhizospere of Acanthus ilicifolius.

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

Name and taxonomic classification

SI-ID 400102

DSM 104296

@ref 20215

Last LPSN update 2026-02-09 11:38:19

Domain Bacteria

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Bacillaceae

Genus Peribacillus

Species Peribacillus acanthi

Full scientific name Peribacillus acanthi (Ma et al. 2018) Patel and Gupta 2020

Synonyms (1)

Bacillus acanthi

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape	Motility
66677	positive	1.5-5.0 µm	0.5-1.0 µm	rod-shaped

Colony morphology

@ref	Colony size	Colony color	Colony shape	Incubation period	Medium used
66677	0.5-5 mm	white pigmented	circular	3 days	Marine agar (MA)

Culture and growth conditions

Culture medium

@ref	Name	Growth	Medium link	Composition
65092	BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514)		Medium recipe at MediaDive	Name: BACTO MARINE BROTH (DIFCO 2216) (DSMZ Medium 514) Composition: NaCl 19.45 g/l MgCl2 5.9 g/l Bacto peptone 5.0 g/l Na2SO4 3.24 g/l CaCl2 1.8 g/l Yeast extract 1.0 g/l KCl 0.55 g/l NaHCO3 0.16 g/l Fe(III) citrate 0.1 g/l KBr 0.08 g/l SrCl2 0.034 g/l H3BO3 0.022 g/l Na2HPO4 0.008 g/l Na-silicate 0.004 g/l NaF 0.0024 g/l (NH4)NO3 0.0016 g/l Distilled water
66677	Marine agar (MA)

Culture temp

@ref	Growth	Type	Temperature (°C)
65092	positive	growth	30
66677	positive	optimum	37
66677	positive	growth	20-45

Culture pH

@ref	Ability	Type	PH	PH range
66677	positive	optimum	7.5
66677	positive	growth	6.5-9.0	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
66677	aerobe
125439	obligate aerobe	94.9

Spore formation

@ref	Type of spore	Spore formation	Confidence
66677	endospore
125438			93.932

Halophily

@ref	Salt	Growth	Tested relation	Concentration
66677	NaCl	positive	growth	0-5 %(w/v)
66677	NaCl	positive	optimum	0.5 %(w/v)

Observation

66677

Observationcolonies are circular, smooth, convex and regular withentire margin.

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
66677	27613 ChEBI	amygdalin	-	fermentation
66677	22599 ChEBI	arabinose	-	fermentation
66677		casein	-	hydrolysis
66677	53258 ChEBI	citric acid	+	assimilation
66677	5291 ChEBI	gelatin	-	hydrolysis
66677	17234 ChEBI	glucose	-	fermentation
66677	37684 ChEBI	mannose	-	fermentation
66677	28053 ChEBI	melibiose	-	fermentation
66677	17268 ChEBI	myo-inositol	-	fermentation
66677	17632 ChEBI	nitrate	-	reduction
66677	26546 ChEBI	rhamnose	-	fermentation
66677	30911 ChEBI	sorbitol	-	fermentation
66677	28017 ChEBI	starch	+	hydrolysis
66677	17992 ChEBI	sucrose	-	fermentation
66677	27897 ChEBI	tryptophan	+	energy source
66677	53424 ChEBI	tween 20	-	hydrolysis
66677	53423 ChEBI	tween 40	-	hydrolysis
66677	53425 ChEBI	tween 60	-	hydrolysis
66677	53426 ChEBI	tween 80	-	hydrolysis
66677	16199 ChEBI	urea	-	hydrolysis

Metabolite production

@ref	Chebi-ID	Metabolite
66677	15688 ChEBI	acetoin
66677	16136 ChEBI	hydrogen sulfide
66677	35581 ChEBI	indole

Enzymes

@ref	Value	Activity	Ec
66677	acid phosphatase	+	3.1.3.2
66677	alkaline phosphatase	+	3.1.3.1
66677	alpha-chymotrypsin	-	3.4.21.1
66677	alpha-fucosidase	-	3.2.1.51
66677	alpha-galactosidase	+	3.2.1.22
66677	alpha-glucosidase	-	3.2.1.20
66677	alpha-mannosidase	-	3.2.1.24
66677	arginine dihydrolase	-	3.5.3.6
66677	beta-galactosidase	-	3.2.1.23
66677	beta-glucosidase	-	3.2.1.21
66677	beta-glucuronidase	-	3.2.1.31
66677	beta-N-acetylgalactosaminidase	+
66677	catalase	+	1.11.1.6
66677	cystine arylamidase	-	3.4.11.3
66677	cytochrome oxidase	+	1.9.3.1
66677	esterase	-
66677	esterase (C 4)	-
66677	esterase Lipase (C 8)	+
66677	gelatinase	-
66677	leucine arylamidase	-	3.4.11.1
66677	lipase (C 14)	-
66677	lysine decarboxylase	-	4.1.1.18
66677	naphthol-AS-BI-phosphohydrolase	+
66677	ornithine decarboxylase	-	4.1.1.17
66677	trypsin	-	3.4.21.4
66677	tryptophan deaminase	-	4.1.99.1
66677	tryptophan deaminase	+	4.1.99.1
66677	urease	-	3.5.1.5
66677	valine arylamidase	-

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Host	#Plants	#Herbaceous plants (Grass,Crops)
#Host Body-Site	#Plant	#Rhizosphere
#Environmental	#Terrestrial	#Soil
#Environmental	#Terrestrial	#Wetland (Swamp)

Isolation

@ref	Sample type	Geographic location	Latitude	Longitude	Enrichment culture	Isolation procedure	Country	Country ISO 3 Code	Continent
65092	Mai Po Inner Deep Bay rhizospere of Acanthus ilicifolius						China	CHN	Asia
66677	the rhizosphere soil of a mangrove plant, Acanthus ilicifolius	Mai Po Inner Deep Bay Ramsar Site	22.49	114.05 22.49/114.05	sterile marine agar 2216	the conventional dilution-plating technique

Interaction and safety

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	BV-BRC accession	IMG accession	NCBI tax ID	Score
66792	ASM307317v1 assembly for Peribacillus acanthi L28	scaffold	GCA_003073175	2171554.3	2997661318	2171554	49.29

16S sequences

@ref	Description	Accession	Length	Database	NCBI tax ID
65092	Peribacillus acanthi strain L28 16S ribosomal RNA gene, partial sequence	KY038378	1521		2171554

GC content

@ref	GC-content (mol%)	Method
65092	36.9
66677	36.93	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Peribacillus acanthi L28
NCBI: GCA_003073175

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	82.90	no
125439	motility	BacteriaNetⓘ	yes	77.40	no
125439	gram_stain	BacteriaNetⓘ	variable	80.60	no
125439	oxygen_tolerance	BacteriaNetⓘ	obligate aerobe	94.90	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Peribacillus acanthi L28
NCBI: GCA_003073175.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	73.30	no
125438	anaerobic	anaerobicⓘ	no	94.71	yes
125438	aerobic	aerobicⓘ	yes	79.27	yes
125438	spore-forming	spore-formingⓘ	yes	93.93	yes
125438	thermophilic	thermophileⓘ	no	87.73	yes
125438	flagellated	motile2+ⓘ	yes	82.69	no

Literature

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Bacillus acanthi sp. nov., isolated from the rhizosphere soil of a mangrove plant Acanthus ilicifolius.	Ma K, Yin Q, Chen L, Lai Q, Xu Y	Int J Syst Evol Microbiol	10.1099/ijsem.0.002950	2018

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 )
#65092	Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 104296
#66677	Ke Ma, Qi Yin, Liying Chen, Qiliang Lai, Ying Xu: Bacillus acanthi sp. nov., isolated from the rhizosphere soil of a mangrove plant Acanthus ilicifolius. IJSEM 68: 3047 - 3051 2018 ( DOI 10.1099/ijsem.0.002950 , PubMed 30063204 )
#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) .
#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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Peribacillus acanthi (DSM 104296, MCCC 1K03287, L28)

Name and taxonomic classification

Morphology

Cell morphology

Colony morphology

Culture and growth conditions

Culture medium

Culture temp

Culture pH

Physiology and metabolism

Oxygen tolerance

Spore formation

Halophily

Observation

Metabolite utilization

Metabolite production

Enzymes

Isolation, sampling and environmental information

Isolation source categories

Isolation

Interaction and safety

Sequence information

Genome sequences

Genome browser: GCA_003073175

16S sequences

GC content

Genome-based predictions

Predictions

Literature

Literature

References

BacDive

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