Bacillus paranthracis (MCCC 1A00395, KCTC 33714, LMG 28873)

Name: Bacillus paranthracis (MCCC 1A00395, KCTC 33714, LMG 28873)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 140960

Type strain

Strain Designation Mn5

Culture col. no. MCCC 1A00395 KCTC 33714 LMG 28873 Mn5 NBRC 113914 1 more

NCBI tax ID(s) 2026186

Special Collections KCTC Literature strains CIP

History <- Yang Liu, The Third Institute of State Oceanic Administration(SOA) CIP <- 2017, LMG <- 2015, Y. Liu, Third Inst. Ocean., Fujian Province, Xiamen, China: strain Mn5 <- M. Tian

Links

Bacillus paranthracis Mn5 is a facultative anaerobe, spore-forming, Gram-positive prokaryote that forms circular colonies and was isolated from sediment of the Pacific Ocean.

spore-forming Gram-positive rod-shaped colony-forming facultative anaerobe genome sequence 16S sequence

Name and taxonomic classification

SI-ID 412585

LMG 28873,KCTC 33714,CIP 111454

@ref 20215

Last LPSN update 2025-12-16 10:03:44

Domain Bacillati

Phylum Bacillota

Class Bacilli

Order Caryophanales

Family Bacillaceae

Genus Bacillus

Species Bacillus paranthracis

Full scientific name Bacillus paranthracis Liu et al. 2017

BacDive ID	Other strains from **Bacillus paranthracis** (1)	Type strain
135505	B. paranthracis CIP A30

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape
43860	positive	2.8-3.3 µm	1.2-1.4 µm	rod-shaped
67771	positive
121571	positive			rod-shaped

Colony morphology

@ref	Colony size	Colony color	Colony shape	Incubation period	Medium used
43860	2-3 mm	off-white	circular	2 days	Luria Bertani agar

Culture and growth conditions

Culture medium

@ref	Name	Medium link
43860	LB (Luria-Bertani) MEDIUM
43860	Trypticase soy agar
121571	CIP Medium 72	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
43860	positive	growth	15-45
43860	positive	optimum	30	mesophilic
67771	positive	growth	28	mesophilic

Culture pH

@ref	Ability	Type	PH	PH range
43860	positive	optimum	7.0-8.0
43860	positive	growth	5.0-10.0	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
43860	facultative anaerobe
67771	aerobe
125439	anaerobe	92.3

Spore formation

@ref	Spore description	Type of spore	Spore formation
43860	central elliptical endospore	endospore

Halophily

@ref	Salt	Growth	Tested relation	Concentration
43860	NaCl	positive	growth	0-9 %(w/v)
43860	NaCl	positive	optimum	1-2 %(w/v)

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
43860	27613 ChEBI	amygdalin	-	builds acid from
43860	22599 ChEBI	arabinose	-	builds acid from
43860		casein	+	hydrolysis
43860	16947 ChEBI	citrate	+	carbon source
43860	16988 ChEBI	D-ribose	+	builds acid from
43860	17234 ChEBI	glucose	-	builds acid from
43860	17754 ChEBI	glycerol	-	builds acid from
43860	29864 ChEBI	mannitol	-	builds acid from
43860	28053 ChEBI	melibiose	-	builds acid from
43860	17268 ChEBI	myo-inositol	-	builds acid from
43860	26546 ChEBI	rhamnose	-	builds acid from
43860		skimmed milk	+	hydrolysis
43860	30911 ChEBI	sorbitol	-	builds acid from
43860	28017 ChEBI	starch	-	hydrolysis
43860	17992 ChEBI	sucrose	-	builds acid from

Metabolite production

@ref	Chebi-ID	Metabolite
43860	15688 ChEBI	acetoin
43860	16136 ChEBI	hydrogen sulfide
43860	35581 ChEBI	indole

Metabolite tests

@ref	Chebi-ID	Metabolite	Voges-proskauer-test
43860	15688 ChEBI	acetoin	+

Enzymes

@ref	Value	Activity	Ec
43860	arginine dihydrolase	+	3.5.3.6
43860	beta-galactosidase	-	3.2.1.23
43860	catalase	+	1.11.1.6
43860	cytochrome oxidase	+	1.9.3.1
43860	gelatinase	+
43860	lysine decarboxylase	-	4.1.1.18
43860	ornithine decarboxylase	-	4.1.1.17
43860	tryptophan deaminase	-	4.1.99.1
43860	urease	-	3.5.1.5

Fatty acid profile

Metadata FA analysis

@ref

43860

Fatty acid	Percentage
C15:0 iso	14.7
C16:0	14.6
C16:1ω7c / C15:0 iso 2OH	9
C16:0 iso	7.4
C13:0 iso	7
C17:0 iso	5.6
C15:0 anteiso	5.6
C14:0 iso	5.5
C14:0	5.4
C17:1 iso I /C17:1 anteiso B	3.8
C18:1ω9c	2.4
C17:0 anteiso	2.2
C17:1 iso ω5c	2.1
C18:0	1.8
C14:0 3OH / C16:1 iso I	1.7
C17:1 iso ω10c	1.7
C13:0 anteiso	1.7
C12:0	1.6
C12:0 iso	1.4
C16:1ω11c	1
C17:1 anteiso A	1

Isolation, sampling and environmental information

Isolation source categories

Cat1	Cat2	Cat3
#Environmental	#Aquatic	#Marine
#Environmental	#Aquatic	#Sediment

Isolation

@ref	Sample type	Geographic location	Country	Isolation date
43860	sediment of the Pacific Ocean
67771	From sediments	the Pacific Ocean	Pacific Ocean
121571	Environment, Sediments		Pacific Ocean	2005-01-03

Taxonmaps

69479

Global distribution of 16S sequence KJ812420 (>99% sequence identity) for Bacillus from Microbeatlas

Aquatic Samples	446
Soil Samples	1920
Animal Samples	1524
Plant Samples	1079
Total Samples	4969

Interaction and safety

Risk assessment

@ref	Biosafety level	Biosafety level comment
121571	1	Risk group (French classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	NCBI tax ID	Score
66792	ASM188399v1 assembly for Bacillus paranthracis Mn5	contig	GCA_001883995	2026186	61.21

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
43860	Bacillus paranthracis strain MCCC 1A00395 16S ribosomal RNA gene, partial sequence	KJ812420
124043	Bacillus paranthracis strain MCCC 1A00395 16S ribosomal RNA gene, partial sequence.	MK508861	1318	2026186
124043	Bacillus paranthracis strain MCCC 1A00395 16S ribosomal RNA gene, partial sequence.	MK182762	1291	2026186

GC content

@ref	GC-content (mol%)	Method
43860	35.2	genome sequence analysis

Genome-based predictions

Predictions

Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Bacillus paranthracis Mn5
NCBI: GCA_001883995

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	67.20	no
125439	motility	BacteriaNetⓘ	yes	66.50	no
125439	gram_stain	BacteriaNetⓘ	positive	70.50	no
125439	oxygen_tolerance	BacteriaNetⓘ	anaerobe	92.30	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bacillus paranthracis Mn5
NCBI: GCA_001883995.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	73.73	yes
125438	anaerobic	anaerobicⓘ	no	97.31	yes
125438	aerobic	aerobicⓘ	yes	51.78	no
125438	spore-forming	spore-formingⓘ	yes	85.49	no
125438	thermophilic	thermophileⓘ	no	94.33	no
125438	flagellated	motile2+ⓘ	yes	84.77	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	In silico biotechnological potential of Bacillus sp. strain MHSD_37 bacterial endophyte.	Maumela P, Khwathisi A, Madala NE, Serepa-Dlamini MH.	BMC Genomics	10.1186/s12864-024-10305-2	2024
	Bioremediation of Pb contaminated water using a novel Bacillus sp. strain MHSD_36 isolated from Solanum nigrum.	Maumela P, Magida S, Serepa-Dlamini MH.	PLoS One	10.1371/journal.pone.0302460	2024
Phylogeny	Proposal of nine novel species of the Bacillus cereus group.	Liu Y, Du J, Lai Q, Zeng R, Ye D, Xu J, Shao Z	Int J Syst Evol Microbiol	10.1099/ijsem.0.001821	2017

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 )
#43860	Yang Liu, Juan Du, Qiliang Lai, Runying Zeng, Dezan Ye, Jun Xu, Zongze Shao: Proposal of nine novel species of the Bacillus cereus group. IJSEM 67: 2499 - 2508 2017 ( DOI 10.1099/ijsem.0.001821 , PubMed 28792367 )
#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) .
#67771	Korean Collection for Type Cultures (KCTC) ; Curators of the KCTC;
#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 .
#121571	Collection of Institut Pasteur ; Curators of the CIP; CIP 111454
#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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Bacillus paranthracis (MCCC 1A00395, KCTC 33714, LMG 28873)

Name and taxonomic classification