Niabella soli JS13-8 is an aerobe, mesophilic, Gram-negative prokaryote that was isolated from soil.
Gram-negative rod-shaped aerobe mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Pseudomonadati |
| Phylum Bacteroidota |
| Class Chitinophagia |
| Order Chitinophagales |
| Family Chitinophagaceae |
| Genus Niabella |
| Species Niabella soli |
| Full scientific name Niabella soli Weon et al. 2008 |
| 32318 | Productionyes |
| @ref: | 66793 |
| multimedia content: | EM_DSM_19437_1.jpg |
| multimedia.multimedia content: | EM_DSM_19437_1.jpg |
| caption: | electron microscopic image |
| intellectual property rights: | © HZI/Manfred Rohde |
| manual_annotation: | 1 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 8016 | R2A MEDIUM (DSMZ Medium 830) | Medium recipe at MediaDive | Name: R2A MEDIUM (DSMZ Medium 830) Composition: Agar 15.0 g/l Casamino acids 0.5 g/l Starch 0.5 g/l Glucose 0.5 g/l Proteose peptone 0.5 g/l Yeast extract 0.5 g/l K2HPO4 0.3 g/l Na-pyruvate 0.3 g/l MgSO4 x 7 H2O 0.05 g/l Distilled water |
| @ref | Spore formation | Confidence | |
|---|---|---|---|
| 125439 | 90.9 |
| @ref | Salt | Growth | Tested relation | Concentration | |
|---|---|---|---|---|---|
| 32318 | NaCl | positive | growth | 0-1 % |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 32318 | 22599 ChEBI | arabinose | + | carbon source | |
| 32318 | 4853 ChEBI | esculin | + | hydrolysis | |
| 32318 | 17234 ChEBI | glucose | + | carbon source | |
| 32318 | 17306 ChEBI | maltose | + | carbon source | |
| 32318 | 37684 ChEBI | mannose | + | carbon source | |
| 32318 | 28053 ChEBI | melibiose | + | carbon source | |
| 32318 | 506227 ChEBI | N-acetylglucosamine | + | carbon source | |
| 32318 | 26546 ChEBI | rhamnose | + | carbon source | |
| 32318 | 17814 ChEBI | salicin | + | carbon source | |
| 32318 | 17992 ChEBI | sucrose | + | carbon source |
| @ref | pathway | enzyme coverage | annotated reactions | external links | |
|---|---|---|---|---|---|
| 66794 | adipate degradation | 100 | 2 of 2 | ||
| 66794 | gluconeogenesis | 100 | 8 of 8 | ||
| 66794 | coenzyme A metabolism | 100 | 4 of 4 | ||
| 66794 | kanosamine biosynthesis II | 100 | 2 of 2 | ||
| 66794 | 1,4-dihydroxy-6-naphthoate biosynthesis | 100 | 6 of 6 | ||
| 66794 | cis-vaccenate biosynthesis | 100 | 2 of 2 | ||
| 66794 | glycogen metabolism | 100 | 5 of 5 | ||
| 66794 | methylglyoxal degradation | 100 | 5 of 5 | ||
| 66794 | palmitate biosynthesis | 100 | 22 of 22 | ||
| 66794 | starch degradation | 100 | 10 of 10 | ||
| 66794 | sulfopterin metabolism | 100 | 4 of 4 | ||
| 66794 | denitrification | 100 | 2 of 2 | ||
| 66794 | anapleurotic synthesis of oxalacetate | 100 | 1 of 1 | ||
| 66794 | CDP-diacylglycerol biosynthesis | 100 | 2 of 2 | ||
| 66794 | folate polyglutamylation | 100 | 1 of 1 | ||
| 66794 | suberin monomers biosynthesis | 100 | 2 of 2 | ||
| 66794 | lactate fermentation | 100 | 4 of 4 | ||
| 66794 | UDP-GlcNAc biosynthesis | 100 | 3 of 3 | ||
| 66794 | Entner Doudoroff pathway | 90 | 9 of 10 | ||
| 66794 | chorismate metabolism | 88.89 | 8 of 9 | ||
| 66794 | serine metabolism | 88.89 | 8 of 9 | ||
| 66794 | lipid A biosynthesis | 88.89 | 8 of 9 | ||
| 66794 | isoleucine metabolism | 87.5 | 7 of 8 | ||
| 66794 | C4 and CAM-carbon fixation | 87.5 | 7 of 8 | ||
| 66794 | tetrahydrofolate metabolism | 85.71 | 12 of 14 | ||
| 66794 | ubiquinone biosynthesis | 85.71 | 6 of 7 | ||
| 66794 | reductive acetyl coenzyme A pathway | 85.71 | 6 of 7 | ||
| 66794 | phenylalanine metabolism | 84.62 | 11 of 13 | ||
| 66794 | NAD metabolism | 83.33 | 15 of 18 | ||
| 66794 | metabolism of amino sugars and derivatives | 80 | 4 of 5 | ||
| 66794 | cellulose degradation | 80 | 4 of 5 | ||
| 66794 | threonine metabolism | 80 | 8 of 10 | ||
| 66794 | peptidoglycan biosynthesis | 80 | 12 of 15 | ||
| 66794 | photosynthesis | 78.57 | 11 of 14 | ||
| 66794 | heme metabolism | 78.57 | 11 of 14 | ||
| 66794 | valine metabolism | 77.78 | 7 of 9 | ||
| 66794 | leucine metabolism | 76.92 | 10 of 13 | ||
| 66794 | purine metabolism | 76.6 | 72 of 94 | ||
| 66794 | ppGpp biosynthesis | 75 | 3 of 4 | ||
| 66794 | CMP-KDO biosynthesis | 75 | 3 of 4 | ||
| 66794 | acetate fermentation | 75 | 3 of 4 | ||
| 66794 | ketogluconate metabolism | 75 | 6 of 8 | ||
| 66794 | glycogen biosynthesis | 75 | 3 of 4 | ||
| 66794 | degradation of pentoses | 75 | 21 of 28 | ||
| 66794 | lipid metabolism | 74.19 | 23 of 31 | ||
| 66794 | pyrimidine metabolism | 73.33 | 33 of 45 | ||
| 66794 | methionine metabolism | 73.08 | 19 of 26 | ||
| 66794 | d-xylose degradation | 72.73 | 8 of 11 | ||
| 66794 | pentose phosphate pathway | 72.73 | 8 of 11 | ||
| 66794 | cardiolipin biosynthesis | 71.43 | 5 of 7 | ||
| 66794 | propanol degradation | 71.43 | 5 of 7 | ||
| 66794 | propionate fermentation | 70 | 7 of 10 | ||
| 66794 | glutamate and glutamine metabolism | 67.86 | 19 of 28 | ||
| 66794 | molybdenum cofactor biosynthesis | 66.67 | 6 of 9 | ||
| 66794 | acetoin degradation | 66.67 | 2 of 3 | ||
| 66794 | octane oxidation | 66.67 | 2 of 3 | ||
| 66794 | flavin biosynthesis | 66.67 | 10 of 15 | ||
| 66794 | d-mannose degradation | 66.67 | 6 of 9 | ||
| 66794 | CO2 fixation in Crenarchaeota | 66.67 | 6 of 9 | ||
| 66794 | formaldehyde oxidation | 66.67 | 2 of 3 | ||
| 66794 | L-lactaldehyde degradation | 66.67 | 2 of 3 | ||
| 66794 | isoprenoid biosynthesis | 65.38 | 17 of 26 | ||
| 66794 | glycolysis | 64.71 | 11 of 17 | ||
| 66794 | citric acid cycle | 64.29 | 9 of 14 | ||
| 66794 | lysine metabolism | 64.29 | 27 of 42 | ||
| 66794 | vitamin B6 metabolism | 63.64 | 7 of 11 | ||
| 66794 | tryptophan metabolism | 63.16 | 24 of 38 | ||
| 66794 | 6-hydroxymethyl-dihydropterin diphosphate biosynthesis | 62.5 | 5 of 8 | ||
| 66794 | degradation of sugar alcohols | 62.5 | 10 of 16 | ||
| 66794 | histidine metabolism | 62.07 | 18 of 29 | ||
| 66794 | cysteine metabolism | 61.11 | 11 of 18 | ||
| 66794 | degradation of sugar acids | 60 | 15 of 25 | ||
| 66794 | phenylacetate degradation (aerobic) | 60 | 3 of 5 | ||
| 66794 | alanine metabolism | 58.62 | 17 of 29 | ||
| 66794 | degradation of aromatic, nitrogen containing compounds | 58.33 | 7 of 12 | ||
| 66794 | non-pathway related | 57.89 | 22 of 38 | ||
| 66794 | tyrosine metabolism | 57.14 | 8 of 14 | ||
| 66794 | glutathione metabolism | 57.14 | 8 of 14 | ||
| 66794 | degradation of hexoses | 55.56 | 10 of 18 | ||
| 66794 | aspartate and asparagine metabolism | 55.56 | 5 of 9 | ||
| 66794 | proline metabolism | 54.55 | 6 of 11 | ||
| 66794 | arginine metabolism | 54.17 | 13 of 24 | ||
| 66794 | phenylpropanoid biosynthesis | 53.85 | 7 of 13 | ||
| 66794 | vitamin B1 metabolism | 53.85 | 7 of 13 | ||
| 66794 | glycolate and glyoxylate degradation | 50 | 3 of 6 | ||
| 66794 | butanoate fermentation | 50 | 2 of 4 | ||
| 66794 | dTDPLrhamnose biosynthesis | 50 | 4 of 8 | ||
| 66794 | quinate degradation | 50 | 1 of 2 | ||
| 66794 | coenzyme M biosynthesis | 50 | 5 of 10 | ||
| 66794 | ethanol fermentation | 50 | 1 of 2 | ||
| 66794 | selenocysteine biosynthesis | 50 | 3 of 6 | ||
| 66794 | sulfate reduction | 46.15 | 6 of 13 | ||
| 66794 | urea cycle | 46.15 | 6 of 13 | ||
| 66794 | 4-hydroxymandelate degradation | 44.44 | 4 of 9 | ||
| 66794 | daunorubicin biosynthesis | 44.44 | 4 of 9 | ||
| 66794 | ascorbate metabolism | 40.91 | 9 of 22 | ||
| 66794 | ethylmalonyl-CoA pathway | 40 | 2 of 5 | ||
| 66794 | gallate degradation | 40 | 2 of 5 | ||
| 66794 | glycine metabolism | 40 | 4 of 10 | ||
| 66794 | vitamin K metabolism | 40 | 2 of 5 | ||
| 66794 | myo-inositol biosynthesis | 40 | 4 of 10 | ||
| 66794 | 3-chlorocatechol degradation | 40 | 2 of 5 | ||
| 66794 | arachidonate biosynthesis | 40 | 2 of 5 | ||
| 66794 | lipoate biosynthesis | 40 | 2 of 5 | ||
| 66794 | 4-hydroxyphenylacetate degradation | 40 | 4 of 10 | ||
| 66794 | metabolism of disaccharids | 36.36 | 4 of 11 | ||
| 66794 | acetyl CoA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | arachidonic acid metabolism | 33.33 | 6 of 18 | ||
| 66794 | sphingosine metabolism | 33.33 | 2 of 6 | ||
| 66794 | IAA biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | cyanate degradation | 33.33 | 1 of 3 | ||
| 66794 | pantothenate biosynthesis | 33.33 | 2 of 6 | ||
| 66794 | (5R)-carbapenem carboxylate biosynthesis | 33.33 | 1 of 3 | ||
| 66794 | oxidative phosphorylation | 32.97 | 30 of 91 | ||
| 66794 | androgen and estrogen metabolism | 31.25 | 5 of 16 | ||
| 66794 | polyamine pathway | 30.43 | 7 of 23 | ||
| 66794 | dolichyl-diphosphooligosaccharide biosynthesis | 27.27 | 3 of 11 | ||
| 66794 | 3-phenylpropionate degradation | 26.67 | 4 of 15 | ||
| 66794 | carnitine metabolism | 25 | 2 of 8 | ||
| 66794 | cyclohexanol degradation | 25 | 1 of 4 | ||
| 66794 | biotin biosynthesis | 25 | 1 of 4 | ||
| 66794 | phenol degradation | 25 | 5 of 20 | ||
| 66794 | toluene degradation | 25 | 1 of 4 | ||
| 66794 | phosphatidylethanolamine bioynthesis | 23.08 | 3 of 13 |
| @ref | Sample type | Geographic location | Country | Country ISO 3 Code | Continent | |
|---|---|---|---|---|---|---|
| 8016 | soil | Jeju Island | Republic of Korea | KOR | Asia |
Global distribution of 16S sequence EF592608 (>99% sequence identity) for Niabella soli subclade from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM24311v3 assembly for Niabella soli DSM 19437 JS13-8; DSM 19437 | complete | 929713 | 98.94 | ||||
| 66792 | Niabella soli DSM 19437 | contig | 929713 | 73.5 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 8016 | Niabella soli strain JS13-8 16S ribosomal RNA gene, partial sequence | EF592608 | 1390 | 929713 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 90.90 | no |
| 125439 | motility | BacteriaNetⓘ | no | 70.40 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 99.40 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | aerobe | 95.10 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 92.95 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 98.30 | yes |
| 125438 | aerobic | aerobicⓘ | yes | 86.59 | yes |
| 125438 | spore-forming | spore-formingⓘ | no | 89.99 | no |
| 125438 | thermophilic | thermophileⓘ | no | 98.92 | yes |
| 125438 | flagellated | motile2+ⓘ | no | 91.48 | yes |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| A Multicolor Fluorescence in situ Hybridization Approach Using an Extended Set of Fluorophores to Visualize Microorganisms. | Lukumbuzya M, Schmid M, Pjevac P, Daims H. | Front Microbiol | 10.3389/fmicb.2019.01383 | 2019 | ||
| Classifying nitrilases as aliphatic and aromatic using machine learning technique. | Sharma N, Verma R, Savitri, Bhalla TC. | 3 Biotech | 10.1007/s13205-018-1102-9 | 2018 | ||
| Genetics | Genome sequence of the flexirubin-pigmented soil bacterium Niabella soli type strain (JS13-8(T)). | Anderson I, Munk C, Lapidus A, Nolan M, Lucas S, Tice H, Del Rio TG, Cheng JF, Han C, Tapia R, Goodwin L, Pitluck S, Liolios K, Mavromatis K, Pagani I, Mikhailova N, Pati A, Chen A, Palaniappan K, Land M, Rohde M, Tindall BJ, Goker M, Detter JC, Woyke T, Bristow J, Eisen JA, Markowitz V, Hugenholtz P, Kyrpides NC, Klenk HP, Ivanova N | Stand Genomic Sci | 10.4056/sigs.3117229 | 2012 | |
| Phylogeny | Niabella hibiscisoli sp. nov., isolated from soil of a Rose of Sharon garden. | Ngo HTT, Trinh H, Yan ZF, Moya G, Kook M, Yi TH | Int J Syst Evol Microbiol | 10.1099/ijsem.0.001595 | 2017 | |
| Phylogeny | Niabella ginsenosidivorans sp. nov., isolated from compost. | Yi KJ, Im WT, Kim DW, Liu QM, Kim SK | J Microbiol | 10.1007/s12275-015-5463-z | 2015 | |
| Phylogeny | Niabella yanshanensis sp. nov., isolated from the soybean rhizosphere. | Wang H, Zhang YZ, Man CX, Chen WF, Sui XH, Li Y, Zhang XX, Chen WX | Int J Syst Evol Microbiol | 10.1099/ijs.0.010447-0 | 2009 | |
| Phylogeny | Niabella ginsengisoli sp. nov., isolated from soil cultivated with Korean ginseng. | Weon HY, Yoo SH, Kim BY, Son JA, Kim YJ, Kwon SW | Int J Syst Evol Microbiol | 10.1099/ijs.0.004333-0 | 2009 | |
| Phylogeny | Niabella soli sp. nov., isolated from soil from Jeju Island, Korea. | Weon HY, Kim BY, Joa JH, Kwon SW, Kim WG, Koo BS | Int J Syst Evol Microbiol | 10.1099/ijs.0.65304-0 | 2008 |
| #8016 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 19437 |
| #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 ) |
| #32318 | Barberan A, Caceres Velazquez H, Jones S, Fierer N.: Hiding in Plain Sight: Mining Bacterial Species Records for Phenotypic Trait Information. mSphere 2: 2017 ( DOI 10.1128/mSphere.00237-17 , PubMed 28776041 ) - originally annotated from #28554 (see below) |
| #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) . |
| #66793 | Mukherjee et al.: GEBA: 1,003 reference genomes of bacterial and archaeal isolates expand coverage of the tree of life. 35: 676 - 683 2017 ( DOI 10.1038/nbt.3886 , PubMed 28604660 ) |
| #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 ) |
| #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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