Bacillus proteolyticus (MCCC 1A00365, KCTC 33715, LMG 28870)

Name: Bacillus proteolyticus (MCCC 1A00365, KCTC 33715, LMG 28870)
Creator: BacDive
License: http://creativecommons.org/licenses/by/4.0/

BacDive ID 140966

Type strain

Strain Designation TD42

Culture col. no. MCCC 1A00365 KCTC 33715 LMG 28870 TD42 NBRC 113920 1 more

NCBI tax ID(s) 2026192

Special Collections KCTC Literature strains CIP

Links

Bacillus proteolyticus TD42 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 413792

LMG 28870,KCTC 33715,CIP 111459

@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 proteolyticus

Full scientific name Bacillus proteolyticus Liu et al. 2017

Morphology

Cell morphology

@ref	Gram stain	Cell length	Cell width	Cell shape
43860	positive	2.8-3.6 µm	1.6-1.8 µm	rod-shaped
67771	positive
121969	positive			rod-shaped

Colony morphology

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

Culture and growth conditions

Culture medium

@ref	Name	Medium link
43860	Luria Bertani agar
43860	Trypticase soy agar
121969	CIP Medium 72	Medium recipe at CIP

Culture temp

@ref	Growth	Type	Temperature (°C)	Range
43860	positive	growth	10-39
43860	positive	optimum	30	mesophilic
67771	positive	growth	28	mesophilic

Culture pH

@ref	Ability	Type	PH	PH range
43860	positive	optimum	8
43860	positive	growth	5.0-10.0	alkaliphile

Physiology and metabolism

Oxygen tolerance

@ref	Oxygen tolerance	Confidence
43860	facultative anaerobe
67771	aerobe
125439	facultative anaerobe	90.8

Spore formation

@ref	Spore description	Type of spore	Spore formation	Confidence
43860	central elliptical endospore	endospore
125439				94.1

Halophily

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

Metabolite utilization

@ref	Chebi-ID	Metabolite	Utilization activity	Kind of utilization tested
43860	16808 ChEBI	2-dehydro-D-gluconate	-	builds acid from
43860	58143 ChEBI	5-dehydro-D-gluconate	-	builds acid from
43860	27613 ChEBI	amygdalin	-	builds acid from
43860	22599 ChEBI	arabinose	-	builds acid from
43860	18305 ChEBI	arbutin	+	builds acid from
43860		casein	+	hydrolysis
43860	17057 ChEBI	cellobiose	+	builds acid from
43860	16947 ChEBI	citrate	+	carbon source
43860	17108 ChEBI	D-arabinose	-	builds acid from
43860	18333 ChEBI	D-arabitol	-	builds acid from
43860	15824 ChEBI	D-fructose	+	builds acid from
43860	28847 ChEBI	D-fucose	-	builds acid from
43860	12936 ChEBI	D-galactose	-	builds acid from
43860	17634 ChEBI	D-glucose	+	builds acid from
43860	62318 ChEBI	D-lyxose	-	builds acid from
43860	16899 ChEBI	D-mannitol	-	builds acid from
43860	16024 ChEBI	D-mannose	-	builds acid from
43860	16988 ChEBI	D-ribose	+	builds acid from
43860	17924 ChEBI	D-sorbitol	-	builds acid from
43860	16443 ChEBI	D-tagatose	-	builds acid from
43860	65327 ChEBI	D-xylose	-	builds acid from
43860	17113 ChEBI	erythritol	-	builds acid from
43860		esculin ferric citrate	+	builds acid from
43860	16813 ChEBI	galactitol	-	builds acid from
43860	28066 ChEBI	gentiobiose	-	builds acid from
43860	17234 ChEBI	glucose	-	builds acid from
43860	17754 ChEBI	glycerol	-	builds acid from
43860	28087 ChEBI	glycogen	+	builds acid from
43860	15443 ChEBI	inulin	-	builds acid from
43860	30849 ChEBI	L-arabinose	-	builds acid from
43860	18403 ChEBI	L-arabitol	-	builds acid from
43860	18287 ChEBI	L-fucose	-	builds acid from
43860	62345 ChEBI	L-rhamnose	-	builds acid from
43860	17266 ChEBI	L-sorbose	-	builds acid from
43860	65328 ChEBI	L-xylose	-	builds acid from
43860	17716 ChEBI	lactose	-	builds acid from
43860	17306 ChEBI	maltose	+	builds acid from
43860	29864 ChEBI	mannitol	-	builds acid from
43860	6731 ChEBI	melezitose	-	builds acid from
43860	28053 ChEBI	melibiose	-	builds acid from
43860	320061 ChEBI	methyl alpha-D-glucopyranoside	-	builds acid from
43860	43943 ChEBI	methyl alpha-D-mannoside	-	builds acid from
43860	74863 ChEBI	methyl beta-D-xylopyranoside	-	builds acid from
43860	17268 ChEBI	myo-inositol	-	builds acid from
43860	506227 ChEBI	N-acetylglucosamine	+	builds acid from
43860	32032 ChEBI	potassium gluconate	-	builds acid from
43860	16634 ChEBI	raffinose	-	builds acid from
43860	26546 ChEBI	rhamnose	-	builds acid from
43860	15963 ChEBI	ribitol	-	builds acid from
43860	17814 ChEBI	salicin	+	builds acid from
43860		skimmed milk	+	hydrolysis
43860	30911 ChEBI	sorbitol	-	builds acid from
43860	28017 ChEBI	starch	+	builds acid from
43860	28017 ChEBI	starch	+	hydrolysis
43860	17992 ChEBI	sucrose	-	builds acid from
43860	27082 ChEBI	trehalose	+	builds acid from
43860	32528 ChEBI	turanose	-	builds acid from
43860	17151 ChEBI	xylitol	-	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
C16:0	33.3
C13:0 iso	8.8
C15:0 iso	8.3
C14:0	6.5
C16:1ω7c / C15:0 iso 2OH	5.5
C18:0	5.3
C17:0 iso	4.3
C15:0 anteiso	3.9
C16:0 iso	3.4
C12:0	3.3
C13:0 anteiso	2.9
C14:0 iso	2.7
C12:0 iso	2.3
C16:1ω11c	2.1
C17:1 iso I /C17:1 anteiso B	2.1
C17:1 iso ω10c	1.6
C17:0 anteiso	1.5
C18:1ω9c	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
121969	Environment, Sediments		Pacific Ocean	2006-01-02

Taxonmaps

69479

Global distribution of 16S sequence KJ812418 (>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
121969	1	Risk group (French classification)

Sequence information

Genome sequences

@ref	Description	Assembly level	INSDC accession	IMG accession	NCBI tax ID	Score
66792	ASM188406v1 assembly for Bacillus proteolyticus TD42	contig	GCA_001884065	8034105197	2026192	45.45

16S sequences

@ref	Description	Accession	Length	NCBI tax ID
43860	Bacillus proteolyticus strain MCCC 1A00365 16S ribosomal RNA gene, partial sequence	KJ812418
124043	Bacillus proteolyticus strain MCCC 1A00365 16S ribosomal RNA gene, partial sequence.	PP473247	700	2026192
124043	Bacillus proteolyticus strain MCCC 1A00365 16S ribosomal RNA gene, partial sequence.	MK156416	640	2026192
124043	Bacillus proteolyticus strain MCCC 1A00365 16S ribosomal RNA gene, partial sequence.	MK508862	1113	2026192
124043	Bacillus proteolyticus strain MCCC 1A00365 16S ribosomal RNA gene, partial sequence.	OP835894	1396	2026192
124043	Bacillus proteolyticus strain MCCC 1A00365 16S ribosomal RNA gene, partial sequence.	OR660288	1098	2026192

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 proteolyticus TD42
NCBI: GCA_001884065

@ref	Trait	Model	Prediction	Confidence in %	In training data
125439	spore_formation	BacteriaNetⓘ	yes	94.10	no
125439	motility	BacteriaNetⓘ	yes	89.20	no
125439	gram_stain	BacteriaNetⓘ	variable	73.70	no
125439	oxygen_tolerance	BacteriaNetⓘ	facultative anaerobe	90.80	no

Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Bacillus proteolyticus TD42
NCBI: GCA_001884065.1

@ref	Trait	Model	Prediction	Confidence in %	In training data
125438	gram-positive	gram-positiveⓘ	yes	74.09	no
125438	anaerobic	anaerobicⓘ	no	93.86	no
125438	aerobic	aerobicⓘ	yes	52.59	no
125438	spore-forming	spore-formingⓘ	yes	85.04	no
125438	thermophilic	thermophileⓘ	no	94.85	yes
125438	flagellated	motile2+ⓘ	yes	75.93	no

Literature

Topic	Title	Authors	Journal	DOI	Year
	Bioformulation of Bacillus proteolyticus MITWPUB1 and its biosurfactant to control the growth of phytopathogen Sclerotium rolfsii for the crop Brassica juncea var local, as a sustainable approach.	Mukadam H, Gaikwad SV, Kutty NN, Gaikwad VD.	Front Bioeng Biotechnol	10.3389/fbioe.2024.1362679	2024
	Community-forming traits play role in effective colonization of plant-growth-promoting bacteria and improved plant growth.	Pathak D, Suman A, Sharma P, Aswini K, Govindasamy V, Gond S, Anshika R.	Front Plant Sci	10.3389/fpls.2024.1332745	2024
	Biological Inoculant of Salt-Tolerant Bacteria for Plant Growth Stimulation under Different Saline Soil Conditions.	Wang R, Wang C, Feng Q, Liou RM, Lin YF.	J Microbiol Biotechnol	10.4014/jmb.2009.09032	2021
	Culturing-Enriched Metabarcoding Analysis of the Oryctes rhinoceros Gut Microbiome.	Shelomi M, Chen MJ.	Insects	10.3390/insects11110782	2020
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 .
#121969	Collection of Institut Pasteur ; Curators of the CIP; CIP 111459
#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 proteolyticus (MCCC 1A00365, KCTC 33715, LMG 28870)

Name and taxonomic classification