Name: Paenibacillus donghaensis JH8
Creator: BacDive
License: https://creativecommons.org/licenses/by/4.0/

Strain identifier

BacDive ID: 11638

Type strain:

Species: Paenibacillus donghaensis

Strain Designation: JH8

Culture col. no.: DSM 22278, KCTC 13049, LMG 23780

Strain history: <- DH Roh, Chungbuk Natl. Univ.

NCBI tax ID(s): 414771 (species)

Special Collections

DSMZ
KCTC

Section

When using BacDive for research please cite our paper

Paenibacillus donghaensis JH8 is an aerobe, mesophilic, motile bacterium that was isolated from Sediment, East Sea.

motile
rod-shaped
aerobe
mesophilic
16S sequence
Bacteria
genome sequence

Information on the name and the taxonomic classification. Name and taxonomic classification

	Last LPSN update	09-12-2024 (DD-MM-YYYY)
	Domain	*Bacteria*
	Phylum	*Bacillota*
	Class	*Bacilli*
	Order	*Caryophanales*
	Family	*Paenibacillaceae*
	Genus	*Paenibacillus*
	Species	"Paenibacillus donghaensis"
	Full Scientific Name (LPSN)	Paenibacillus donghaensis Choi et al. 2008

Information on morphological and physiological properties Morphology

[Ref.: #67771]	Gram stain	positive

[Ref.: #67771]	Cell shape	rod-shaped

[Ref.: #67771]	Motility	yes
[Ref.: #125439]	Motility	yes Confidence in %90.2

[Ref.: #67771]	Flagellum arrangement	peritrichous

Information on culture and growth conditions Culture and growth conditions

[Ref.: #16174]

Culture medium

NUTRIENT AGAR (DSMZ Medium 1)

[Ref.: #16174]

Culture medium growth

[Ref.: #16174]

Culture medium link

Medium recipe at MediaDive

[Ref.: #16174]

Culture medium composition

expand / minimize

	Temperatures	Kind of temperature		Temperature
[Ref.: #16174]			growth	25 °C
[Ref.: #67771]			growth	20-25 °C

Information on physiology and metabolism Physiology and metabolism

[Ref.: #67771]

Oxygen tolerance

aerobe

[Ref.: #125439]	Ability of spore formation	yes Confidence in %95.5
[Ref.: #125438]	Ability of spore formation	yes Confidence in %91.805

	Pathway	Enzyme coverage	Annotated reactions
	Pathway annotation	Computationally determined by
[Ref.: #66794]	valine metabolism	100	9 of 9
[Ref.: #66794]	glycolate and glyoxylate degradation	100	6 of 6
[Ref.: #66794]	pentose phosphate pathway	100	11 of 11
[Ref.: #66794]	glycogen metabolism	100	5 of 5
[Ref.: #66794]	cis-vaccenate biosynthesis	100	2 of 2
[Ref.: #66794]	cardiolipin biosynthesis	100	7 of 7
[Ref.: #66794]	adipate degradation	100	2 of 2
[Ref.: #66794]	threonine metabolism	100	10 of 10
[Ref.: #66794]	molybdenum cofactor biosynthesis	100	9 of 9
[Ref.: #66794]	palmitate biosynthesis	100	22 of 22
[Ref.: #66794]	L-lactaldehyde degradation	100	3 of 3
[Ref.: #66794]	ppGpp biosynthesis	100	4 of 4
[Ref.: #66794]	ribulose monophosphate pathway	100	2 of 2
[Ref.: #66794]	suberin monomers biosynthesis	100	2 of 2
[Ref.: #66794]	folate polyglutamylation	100	1 of 1
[Ref.: #66794]	NAD metabolism	100	18 of 18
[Ref.: #66794]	cellulose degradation	100	5 of 5
[Ref.: #66794]	UDP-GlcNAc biosynthesis	100	3 of 3
[Ref.: #66794]	CDP-diacylglycerol biosynthesis	100	2 of 2
[Ref.: #66794]	coenzyme A metabolism	100	4 of 4
[Ref.: #66794]	anapleurotic synthesis of oxalacetate	100	1 of 1
[Ref.: #66794]	tetrahydrofolate metabolism	100	14 of 14
[Ref.: #66794]	sulfopterin metabolism	100	4 of 4
[Ref.: #66794]	glutathione metabolism	92.86	13 of 14
[Ref.: #66794]	phenylalanine metabolism	92.31	12 of 13
[Ref.: #66794]	vitamin B1 metabolism	92.31	12 of 13
[Ref.: #66794]	starch degradation	90	9 of 10
[Ref.: #66794]	alanine metabolism	89.66	26 of 29
[Ref.: #66794]	pyrimidine metabolism	88.89	40 of 45
[Ref.: #66794]	CO2 fixation in Crenarchaeota	88.89	8 of 9
[Ref.: #66794]	aspartate and asparagine metabolism	88.89	8 of 9
[Ref.: #66794]	chorismate metabolism	88.89	8 of 9
[Ref.: #66794]	ketogluconate metabolism	87.5	7 of 8
[Ref.: #66794]	isoleucine metabolism	87.5	7 of 8
[Ref.: #66794]	C4 and CAM-carbon fixation	87.5	7 of 8
[Ref.: #66794]	flavin biosynthesis	86.67	13 of 15
[Ref.: #66794]	photosynthesis	85.71	12 of 14
[Ref.: #66794]	vitamin B12 metabolism	85.29	29 of 34
[Ref.: #66794]	1,4-dihydroxy-6-naphthoate biosynthesis	83.33	5 of 6
[Ref.: #66794]	glutamate and glutamine metabolism	82.14	23 of 28
[Ref.: #66794]	peptidoglycan biosynthesis	80	12 of 15
[Ref.: #66794]	Entner Doudoroff pathway	80	8 of 10
[Ref.: #66794]	vitamin K metabolism	80	4 of 5
[Ref.: #66794]	lipoate biosynthesis	80	4 of 5
[Ref.: #66794]	metabolism of amino sugars and derivatives	80	4 of 5
[Ref.: #66794]	purine metabolism	79.79	75 of 94
[Ref.: #66794]	heme metabolism	78.57	11 of 14
[Ref.: #66794]	degradation of pentoses	78.57	22 of 28
[Ref.: #66794]	allantoin degradation	77.78	7 of 9
[Ref.: #66794]	d-mannose degradation	77.78	7 of 9
[Ref.: #66794]	serine metabolism	77.78	7 of 9
[Ref.: #66794]	degradation of hexoses	77.78	14 of 18
[Ref.: #66794]	6-hydroxymethyl-dihydropterin diphosphate biosynthesis	75	6 of 8
[Ref.: #66794]	dTDPLrhamnose biosynthesis	75	6 of 8
[Ref.: #66794]	glycogen biosynthesis	75	3 of 4
[Ref.: #66794]	acetate fermentation	75	3 of 4
[Ref.: #66794]	degradation of aromatic, nitrogen containing compounds	75	9 of 12
[Ref.: #66794]	degradation of sugar alcohols	75	12 of 16
[Ref.: #66794]	gluconeogenesis	75	6 of 8
[Ref.: #66794]	methionine metabolism	73.08	19 of 26
[Ref.: #66794]	propanol degradation	71.43	5 of 7
[Ref.: #66794]	ubiquinone biosynthesis	71.43	5 of 7
[Ref.: #66794]	non-pathway related	71.05	27 of 38
[Ref.: #66794]	glycolysis	70.59	12 of 17
[Ref.: #66794]	oxidative phosphorylation	68.13	62 of 91
[Ref.: #66794]	acetyl CoA biosynthesis	66.67	2 of 3
[Ref.: #66794]	IAA biosynthesis	66.67	2 of 3
[Ref.: #66794]	enterobactin biosynthesis	66.67	2 of 3
[Ref.: #66794]	octane oxidation	66.67	2 of 3
[Ref.: #66794]	acetoin degradation	66.67	2 of 3
[Ref.: #66794]	cyanate degradation	66.67	2 of 3
[Ref.: #66794]	formaldehyde oxidation	66.67	2 of 3
[Ref.: #66794]	isoprenoid biosynthesis	65.38	17 of 26
[Ref.: #66794]	lipid metabolism	64.52	20 of 31
[Ref.: #66794]	lysine metabolism	64.29	27 of 42
[Ref.: #66794]	degradation of sugar acids	64	16 of 25
[Ref.: #66794]	proline metabolism	63.64	7 of 11
[Ref.: #66794]	d-xylose degradation	63.64	7 of 11
[Ref.: #66794]	phosphatidylethanolamine bioynthesis	61.54	8 of 13
[Ref.: #66794]	leucine metabolism	61.54	8 of 13
[Ref.: #66794]	cysteine metabolism	61.11	11 of 18
[Ref.: #66794]	factor 420 biosynthesis	60	3 of 5
[Ref.: #66794]	gallate degradation	60	3 of 5
[Ref.: #66794]	methylglyoxal degradation	60	3 of 5
[Ref.: #66794]	glycine betaine biosynthesis	60	3 of 5
[Ref.: #66794]	myo-inositol biosynthesis	60	6 of 10
[Ref.: #66794]	phenylacetate degradation (aerobic)	60	3 of 5
[Ref.: #66794]	arginine metabolism	58.33	14 of 24
[Ref.: #66794]	citric acid cycle	57.14	8 of 14
[Ref.: #66794]	tryptophan metabolism	55.26	21 of 38
[Ref.: #66794]	histidine metabolism	55.17	16 of 29
[Ref.: #66794]	metabolism of disaccharids	54.55	6 of 11
[Ref.: #66794]	urea cycle	53.85	7 of 13
[Ref.: #66794]	polyamine pathway	52.17	12 of 23
[Ref.: #66794]	selenocysteine biosynthesis	50	3 of 6
[Ref.: #66794]	pantothenate biosynthesis	50	3 of 6
[Ref.: #66794]	aminopropanol phosphate biosynthesis	50	1 of 2
[Ref.: #66794]	mannosylglycerate biosynthesis	50	1 of 2
[Ref.: #66794]	butanoate fermentation	50	2 of 4
[Ref.: #66794]	tyrosine metabolism	50	7 of 14
[Ref.: #66794]	quinate degradation	50	1 of 2
[Ref.: #66794]	CMP-KDO biosynthesis	50	2 of 4
[Ref.: #66794]	dolichol and dolichyl phosphate biosynthesis	50	1 of 2
[Ref.: #66794]	toluene degradation	50	2 of 4
[Ref.: #66794]	lactate fermentation	50	2 of 4
[Ref.: #66794]	phenol degradation	50	10 of 20
[Ref.: #66794]	kanosamine biosynthesis II	50	1 of 2
[Ref.: #66794]	ethanol fermentation	50	1 of 2
[Ref.: #66794]	biotin biosynthesis	50	2 of 4
[Ref.: #66794]	glycine metabolism	50	5 of 10
[Ref.: #66794]	phenylpropanoid biosynthesis	46.15	6 of 13
[Ref.: #66794]	sulfate reduction	46.15	6 of 13
[Ref.: #66794]	vitamin B6 metabolism	45.45	5 of 11
[Ref.: #66794]	lipid A biosynthesis	44.44	4 of 9
[Ref.: #66794]	4-hydroxymandelate degradation	44.44	4 of 9
[Ref.: #66794]	androgen and estrogen metabolism	43.75	7 of 16
[Ref.: #66794]	reductive acetyl coenzyme A pathway	42.86	3 of 7
[Ref.: #66794]	3-phenylpropionate degradation	40	6 of 15
[Ref.: #66794]	propionate fermentation	40	4 of 10
[Ref.: #66794]	arachidonate biosynthesis	40	2 of 5
[Ref.: #66794]	3-chlorocatechol degradation	40	2 of 5
[Ref.: #66794]	creatinine degradation	40	2 of 5
[Ref.: #66794]	O-antigen biosynthesis	40	2 of 5
[Ref.: #66794]	4-hydroxyphenylacetate degradation	40	4 of 10
[Ref.: #66794]	carnitine metabolism	37.5	3 of 8
[Ref.: #66794]	ascorbate metabolism	36.36	8 of 22
[Ref.: #66794]	sphingosine metabolism	33.33	2 of 6
[Ref.: #66794]	sulfoquinovose degradation	33.33	1 of 3
[Ref.: #66794]	nitrate assimilation	33.33	3 of 9
[Ref.: #66794]	arachidonic acid metabolism	33.33	6 of 18
[Ref.: #66794]	coenzyme M biosynthesis	30	3 of 10
[Ref.: #66794]	aclacinomycin biosynthesis	28.57	2 of 7
[Ref.: #66794]	benzoyl-CoA degradation	28.57	2 of 7
[Ref.: #66794]	chlorophyll metabolism	27.78	5 of 18
[Ref.: #66794]	dolichyl-diphosphooligosaccharide biosynthesis	27.27	3 of 11
[Ref.: #66794]	cyclohexanol degradation	25	1 of 4
[Ref.: #66794]	catecholamine biosynthesis	25	1 of 4
[Ref.: #66794]	bile acid biosynthesis, neutral pathway	23.53	4 of 17
		Only first 10 entries are displayed. Click here to see all.

Information on isolation source, the sampling and environmental conditions Isolation, sampling and environmental information

[Ref.: #16174]	Sample type/isolated from	Sediment, East Sea
[Ref.: #16174]	Geographic location (country and/or sea, region)	Donghae
[Ref.: #16174]	Country	Republic of Korea
[Ref.: #16174]	Country ISO 3 Code	KOR
[Ref.: #16174]	Continent	Asia

[Ref.: #67771]	Sample type/isolated from	From deep-sea sediment
[Ref.: #67771]	Geographic location (country and/or sea, region)	the East Sea
[Ref.: #67771]	Country	Republic of Korea
[Ref.: #67771]	Country ISO 3 Code	KOR
[Ref.: #67771]	Continent	Asia
* marker position based on {}

Isolation sources categories

#Environmental	#Aquatic	#Marine
#Environmental	#Aquatic	#Sediment

What are isolation sources categories?

[Ref.: #69479]

Global distribution of 16S sequence EF079062 (>99% sequence identity) for Paenibacillus donghaensis subclade from Microbeatlas

Aquatic Samples	8
Soil Samples	22
Animal Samples	7
Plant Samples	4
Total Samples	41

Information on genomic background e.g. entries in nucleic sequence databass Sequence information

16S Sequence information:

	Sequence accession description	Seq. accession number	Sequence length (bp)	Sequence database	Associated NCBI tax ID
[Ref.: #16174]	Paenibacillus donghaensis strain JH8 16S ribosomal RNA gene, partial sequence	EF079062	1434	GenBank ENA	414771 tax ID

Genome sequence information:

	Sequence accession description	Seq. accession number	Assembly level	Sequence database	Associated NCBI tax ID
[Ref.: #66792]	Paenibacillus donghaensis KCTC 13049	GCA_002192415	complete	GenBank ENA	414771 tax ID	*
[Ref.: #66792]	Paenibacillus donghaensis strain KCTC 13049	414771.3	complete	PATRIC	414771 tax ID	*
[Ref.: #66792]	Paenibacillus donghaensis KCTC 13049	2757320370	complete	JGI IMG/M	414771 tax ID	*

[Ref.: #16174]

GC-content

53.1 mol%

Data predicted using genome information as a basis Genome-based predictions

	Model	Trait	Prediction	Confidence in %	In training data
	Predictions from bacterial phenotypic traits through improved machine learning using high-quality, curated datasets based on: Paenibacillus donghaensis KCTC 13049 NCBI: GCA_002192415.1
[Ref.: #125438]	gram-positive	gram-positiveⓘ	yes	69.263	yes
[Ref.: #125438]	anaerobic	anaerobicⓘ	no	93.363	yes
[Ref.: #125438]	aerobic	aerobicⓘ	yes	51.91	no
[Ref.: #125438]	spore-forming	spore-formingⓘ	yes	91.805	no
[Ref.: #125438]	thermophile	thermophilicⓘ	no	92.777	yes
[Ref.: #125438]	motile2+	flagellatedⓘ	yes	85.665	no

	Model	Trait	Prediction	Confidence in %
	Predictions from Deep Learning for Genome Sequence Data. R package version 0.3.1 based on: Paenibacillus donghaensis strain KCTC 13049 PATRIC: 414771.3
[Ref.: #125439]	BacteriaNet	spore_formationⓘ	yes	95.5
[Ref.: #125439]	BacteriaNet	motilityⓘ	yes	90.2
[Ref.: #125439]	BacteriaNet	gram_stainⓘ	variable	86.8
[Ref.: #125439]	BacteriaNet	oxygen_toleranceⓘ	facultative anaerobe	77.8

Availability in culture collections External links

[Ref.: #16174]

Culture collection no.

DSM 22278, KCTC 13049, LMG 23780

Literature:

Topic	Title	Authors	Journal	DOI	Year
Phylogeny	Newly Isolated Paenibacillus monticola sp. nov., a Novel Plant Growth-Promoting Rhizobacteria Strain From High-Altitude Spruce Forests in the Qilian Mountains, China.	Li HP, Gan YN, Yue LJ, Han QQ, Chen J, Liu QM, Zhao Q, Zhang JL	Front Microbiol	10.3389/fmicb.2022.833313	2022	*
Genetics	Genome sequencing to develop Paenibacillus donghaensis strain JH8(T) (KCTC 13049(T)=LMG 23780(T)) as a microbial fertilizer and correlation to its plant growth-promoting phenotype.	Jung BK, Hong SJ, Jo HW, Jung Y, Park YJ, Park CE, Kim MC, Ibal JC, Roh DH, Shin JH	Mar Genomics	10.1016/j.margen.2017.11.006	2017	*
Phylogeny	Paenibacillus donghaensis sp. nov., a xylan-degrading and nitrogen-fixing bacterium isolated from East Sea sediment.	Choi JH, Im WT, Yoo JS, Lee SM, Moon DS, Kim HJ, Rhee SK, Roh DH	J Microbiol Biotechnol	7155	2008	*

References

#16174

Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 22278

#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 )

#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 )

#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 .

#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 .

* These data were automatically processed and therefore are not curated

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Paenibacillus donghaensis KCTC 13049

Paenibacillus donghaensis strain KCTC 13049

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