"Paenibacillus donghaensis" JH8 is an aerobe, motile, rod-shaped bacterium that was isolated from Sediment, East Sea.
motile rod-shaped aerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Bacillota |
| Class Bacilli |
| Order Caryophanales |
| Family Paenibacillaceae |
| Genus Paenibacillus |
| Species "Paenibacillus donghaensis" |
| Full scientific name Paenibacillus donghaensis Choi et al. 2008 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 16174 | NUTRIENT AGAR (DSMZ Medium 1) | Medium recipe at MediaDive | Name: NUTRIENT AGAR (DSMZ Medium 1; with strain-specific modifications) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l MnSO4 0.01 g/l Distilled water |
| 67771 | Oxygen toleranceaerobe |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | valine metabolism | 100 | 9 of 9 | ||
| 66794 | glycolate and glyoxylate degradation | 100 | 6 of 6 | ||
| 66794 | pentose phosphate pathway | 100 | 11 of 11 | ||
| 66794 | glycogen metabolism | 100 | 5 of 5 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | cardiolipin biosynthesis | 100 | 7 of 7 | ||
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | threonine metabolism | 100 | 10 of 10 | ||
| 66794 | molybdenum cofactor biosynthesis | 100 | 9 of 9 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | L-lactaldehyde degradation | 100 | 3 of 3 | ||
| 66794 | ppGpp biosynthesis | 100 | 4 of 4 | ||
| 66794 | ribulose monophosphate pathway | 100 | 2 of 2 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | NAD metabolism | 100 | 18 of 18 | ||
| 66794 | cellulose degradation | 100 | 5 of 5 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | tetrahydrofolate metabolism | 100 | 14 of 14 | ||
| 66794 | sulfopterin metabolism | 100 | 4 of 4 | ||
| 66794 | glutathione metabolism | 92.86 | 13 of 14 | ||
| 66794 | phenylalanine metabolism | 92.31 | 12 of 13 | ||
| 66794 | vitamin B1 metabolism | 92.31 | 12 of 13 | ||
| 66794 | starch degradation | 90 | 9 of 10 | ||
| 66794 | alanine metabolism | 89.66 | 26 of 29 | ||
| 66794 | pyrimidine metabolism | 88.89 | 40 of 45 | ||
| 66794 | CO2 fixation in Crenarchaeota | 88.89 | 8 of 9 | ||
| 66794 | aspartate and asparagine metabolism | 88.89 | 8 of 9 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | ketogluconate metabolism | 87.5 | 7 of 8 | ||
| 66794 | isoleucine metabolism | 87.5 | 7 of 8 | ||
| 66794 | C4 and CAM-carbon fixation | 87.5 | 7 of 8 | ||
| 66794 | flavin biosynthesis | 86.67 | 13 of 15 | ||
| 66794 | photosynthesis | 85.71 | 12 of 14 | ||
| 66794 | vitamin B12 metabolism | 85.29 | 29 of 34 | ||
| 66794 | 1,4-dihydroxy-6-naphthoate biosynthesis | 83.33 | 5 of 6 | ||
| 66794 | glutamate and glutamine metabolism | 82.14 | 23 of 28 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | Entner Doudoroff pathway | 80 | 8 of 10 | ||
| 66794 | vitamin K metabolism | 80 | 4 of 5 | ||
| 66794 | lipoate biosynthesis | 80 | 4 of 5 | ||
| 66794 | metabolism of amino sugars and derivatives | 80 | 4 of 5 | ||
| 66794 | purine metabolism | 79.79 | 75 of 94 | ||
| 66794 | heme metabolism | 78.57 | 11 of 14 | ||
| 66794 | degradation of pentoses | 78.57 | 22 of 28 | ||
| 66794 | allantoin degradation | 77.78 | 7 of 9 | ||
| 66794 | d-mannose degradation | 77.78 | 7 of 9 | ||
| 66794 | serine metabolism | 77.78 | 7 of 9 | ||
| 66794 | degradation of hexoses | 77.78 | 14 of 18 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 75 | 6 of 8 | ||
| 66794 | dTDPLrhamnose biosynthesis | 75 | 6 of 8 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 75 | 9 of 12 | ||
| 66794 | degradation of sugar alcohols | 75 | 12 of 16 | ||
| 66794 | gluconeogenesis | 75 | 6 of 8 | ||
| 66794 | methionine metabolism | 73.08 | 19 of 26 | ||
| 66794 | propanol degradation | 71.43 | 5 of 7 | ||
| 66794 | ubiquinone biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | non-pathway related | 71.05 | 27 of 38 | ||
| 66794 | glycolysis | 70.59 | 12 of 17 | ||
| 66794 | oxidative phosphorylation | 68.13 | 62 of 91 | ||
| 66794 | acetyl CoA biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | IAA biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | enterobactin biosynthesis | 66.67 | 2 of 3 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | cyanate degradation | 66.67 | 2 of 3 | ||
| 66794 | formaldehyde oxidation | 66.67 | 2 of 3 | ||
| 66794 | isoprenoid biosynthesis | 65.38 | 17 of 26 | ||
| 66794 | lipid metabolism | 64.52 | 20 of 31 | ||
| 66794 | lysine metabolism | 64.29 | 27 of 42 | ||
| 66794 | degradation of sugar acids | 64 | 16 of 25 | ||
| 66794 | proline metabolism | 63.64 | 7 of 11 | ||
| 66794 | d-xylose degradation | 63.64 | 7 of 11 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 61.54 | 8 of 13 | ||
| 66794 | leucine metabolism | 61.54 | 8 of 13 | ||
| 66794 | cysteine metabolism | 61.11 | 11 of 18 | ||
| 66794 | factor 420 biosynthesis | 60 | 3 of 5 | ||
| 66794 | gallate degradation | 60 | 3 of 5 | ||
| 66794 | methylglyoxal degradation | 60 | 3 of 5 | ||
| 66794 | glycine betaine biosynthesis | 60 | 3 of 5 | ||
| 66794 | myo-inositol biosynthesis | 60 | 6 of 10 | ||
| 66794 | phenylacetate degradation (aerobic) | 60 | 3 of 5 | ||
| 66794 | arginine metabolism | 58.33 | 14 of 24 | ||
| 66794 | citric acid cycle | 57.14 | 8 of 14 | ||
| 66794 | tryptophan metabolism | 55.26 | 21 of 38 | ||
| 66794 | histidine metabolism | 55.17 | 16 of 29 | ||
| 66794 | metabolism of disaccharids | 54.55 | 6 of 11 | ||
| 66794 | urea cycle | 53.85 | 7 of 13 | ||
| 66794 | polyamine pathway | 52.17 | 12 of 23 | ||
| 66794 | selenocysteine biosynthesis | 50 | 3 of 6 | ||
| 66794 | pantothenate biosynthesis | 50 | 3 of 6 | ||
| 66794 | aminopropanol phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | mannosylglycerate biosynthesis | 50 | 1 of 2 | ||
| 66794 | butanoate fermentation | 50 | 2 of 4 | ||
| 66794 | tyrosine metabolism | 50 | 7 of 14 | ||
| 66794 | quinate degradation | 50 | 1 of 2 | ||
| 66794 | CMP-KDO biosynthesis | 50 | 2 of 4 | ||
| 66794 | dolichol and dolichyl phosphate biosynthesis | 50 | 1 of 2 | ||
| 66794 | toluene degradation | 50 | 2 of 4 | ||
| 66794 | lactate fermentation | 50 | 2 of 4 | ||
| 66794 | phenol degradation | 50 | 10 of 20 | ||
| 66794 | kanosamine biosynthesis II | 50 | 1 of 2 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | biotin biosynthesis | 50 | 2 of 4 | ||
| 66794 | glycine metabolism | 50 | 5 of 10 | ||
| 66794 | phenylpropanoid biosynthesis | 46.15 | 6 of 13 | ||
| 66794 | sulfate reduction | 46.15 | 6 of 13 | ||
| 66794 | vitamin B6 metabolism | 45.45 | 5 of 11 | ||
| 66794 | lipid A biosynthesis | 44.44 | 4 of 9 | ||
| 66794 | 4-hydroxymandelate degradation | 44.44 | 4 of 9 | ||
| 66794 | androgen and estrogen metabolism | 43.75 | 7 of 16 | ||
| 66794 | reductive acetyl coenzyme A pathway | 42.86 | 3 of 7 | ||
| 66794 | 3-phenylpropionate degradation | 40 | 6 of 15 | ||
| 66794 | propionate fermentation | 40 | 4 of 10 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | 3-chlorocatechol degradation | 40 | 2 of 5 | ||
| 66794 | creatinine degradation | 40 | 2 of 5 | ||
| 66794 | O-antigen biosynthesis | 40 | 2 of 5 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 40 | 4 of 10 | ||
| 66794 | carnitine metabolism | 37.5 | 3 of 8 | ||
| 66794 | ascorbate metabolism | 36.36 | 8 of 22 | ||
| 66794 | sphingosine metabolism | 33.33 | 2 of 6 | ||
| 66794 | sulfoquinovose degradation | 33.33 | 1 of 3 | ||
| 66794 | nitrate assimilation | 33.33 | 3 of 9 | ||
| 66794 | arachidonic acid metabolism | 33.33 | 6 of 18 | ||
| 66794 | coenzyme M biosynthesis | 30 | 3 of 10 | ||
| 66794 | aclacinomycin biosynthesis | 28.57 | 2 of 7 | ||
| 66794 | benzoyl-CoA degradation | 28.57 | 2 of 7 | ||
| 66794 | chlorophyll metabolism | 27.78 | 5 of 18 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | catecholamine biosynthesis | 25 | 1 of 4 | ||
| 66794 | bile acid biosynthesis, neutral pathway | 23.53 | 4 of 17 |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Environmental | #Aquatic | #Marine | |
| #Environmental | #Aquatic | #Sediment |
Global distribution of 16S sequence EF079062 (>99% sequence identity) for Paenibacillus donghaensis subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM219241v1 assembly for Paenibacillus donghaensis KCTC 13049 | complete | 414771 | 97.77 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 16174 | Paenibacillus donghaensis strain JH8 16S ribosomal RNA gene, partial sequence | EF079062 | 1434 | 414771 |
| 16174 | GC-content (mol%)53.1 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | yes | 95.50 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 90.20 | no |
| 125439 | gram_stain | BacteriaNetⓘ | variable | 86.80 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | facultative anaerobe | 77.80 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | yes | 69.26 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 93.36 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 51.91 | no |
| 125438 | spore-forming | spore-formingⓘ | yes | 91.81 | no |
| 125438 | thermophilic | thermophileⓘ | no | 92.78 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 85.67 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| In Silico Screening of Bacteriocin Gene Clusters within a Set of Marine Bacillota Genomes. | Teber R, Asakawa S. | Int J Mol Sci | 10.3390/ijms25052566 | 2024 | ||
| 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 | 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 | |
| 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 |
| #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 . |
| #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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