Paraburkholderia bryophila 1S18 is an aerobe, Gram-negative bacterium that was isolated from Sphagnum rubellum.
Gram-negative aerobe genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Betaproteobacteria |
| Order Burkholderiales |
| Family Burkholderiaceae |
| Genus Paraburkholderia |
| Species Paraburkholderia bryophila |
| Full scientific name Paraburkholderia bryophila (Vandamme et al. 2007) Sawana et al. 2015 |
| Synonyms (1) |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 17227 | 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 | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 32217 | 17128 ChEBI | adipate | + | carbon source | |
| 68369 | 17128 ChEBI | adipate | + | assimilation | from API 20NE |
| 32217 | 22599 ChEBI | arabinose | + | carbon source | |
| 32217 | 29016 ChEBI | arginine | + | carbon source | |
| 68369 | 29016 ChEBI | arginine | - | hydrolysis | from API 20NE |
| 32217 | 16947 ChEBI | citrate | + | carbon source | |
| 68369 | 17634 ChEBI | D-glucose | + | assimilation | from API 20NE |
| 68369 | 17634 ChEBI | D-glucose | - | fermentation | from API 20NE |
| 68369 | 16899 ChEBI | D-mannitol | + | assimilation | from API 20NE |
| 68369 | 16024 ChEBI | D-mannose | + | assimilation | from API 20NE |
| 32217 | 27689 ChEBI | decanoate | + | carbon source | |
| 68369 | 27689 ChEBI | decanoate | + | assimilation | from API 20NE |
| 32217 | 4853 ChEBI | esculin | + | hydrolysis | |
| 68369 | 4853 ChEBI | esculin | - | hydrolysis | from API 20NE |
| 68369 | 5291 ChEBI | gelatin | - | hydrolysis | from API 20NE |
| 68369 | 24265 ChEBI | gluconate | + | assimilation | from API 20NE |
| 32217 | 17234 ChEBI | glucose | + | carbon source | |
| 68369 | 30849 ChEBI | L-arabinose | + | assimilation | from API 20NE |
| 32217 | 24996 ChEBI | lactate | + | carbon source | |
| 32217 | 25115 ChEBI | malate | + | carbon source | |
| 68369 | 25115 ChEBI | malate | + | assimilation | from API 20NE |
| 68369 | 17306 ChEBI | maltose | - | assimilation | from API 20NE |
| 32217 | 29864 ChEBI | mannitol | + | carbon source | |
| 32217 | 37684 ChEBI | mannose | + | carbon source | |
| 32217 | 506227 ChEBI | N-acetylglucosamine | + | carbon source | |
| 68369 | 59640 ChEBI | N-acetylglucosamine | + | assimilation | from API 20NE |
| 68369 | 17632 ChEBI | nitrate | - | reduction | from API 20NE |
| 32217 | 18401 ChEBI | phenylacetate | + | carbon source | |
| 68369 | 27897 ChEBI | tryptophan | - | energy source | from API 20NE |
| 32217 | 53426 ChEBI | tween 80 | + | carbon source | |
| 68369 | 16199 ChEBI | urea | - | hydrolysis | from API 20NE |
| @ref | Value | Activity | Ec | |
|---|---|---|---|---|
| 32217 | acid phosphatase | + | 3.1.3.2 | |
| 32217 | alkaline phosphatase | + | 3.1.3.1 | |
| 68369 | arginine dihydrolase | - | 3.5.3.6 | from API 20NE |
| 68369 | beta-glucosidase | - | 3.2.1.21 | from API 20NE |
| 17227 | catalase | + | 1.11.1.6 | |
| 32217 | catalase | + | 1.11.1.6 | |
| 32217 | cytochrome oxidase | + | 1.9.3.1 | |
| 68369 | cytochrome oxidase | + | 1.9.3.1 | from API 20NE |
| 17227 | cytochrome-c oxidase | + | 1.9.3.1 | |
| 68369 | gelatinase | - | from API 20NE | |
| 68369 | urease | - | 3.5.1.5 | from API 20NE |
Global distribution of 16S sequence AM489501 (>99% sequence identity) for Paraburkholderia from Microbeatlas ![]()
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 97.79 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 49.21 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 48.63 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 90.98 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 96.48 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 96.91 | no |
| 125438 | aerobic | aerobicⓘ | yes | 89.32 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 87.20 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 98.50 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 86.45 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Molecular signatures and phylogenomic analysis of the genus Burkholderia: proposal for division of this genus into the emended genus Burkholderia containing pathogenic organisms and a new genus Paraburkholderia gen. nov. harboring environmental species. | Sawana A, Adeolu M, Gupta RS. | Front Genet | 10.3389/fgene.2014.00429 | 2014 | ||
| The Potato Yam Phyllosphere Ectosymbiont Paraburkholderia sp. Msb3 Is a Potent Growth Promotor in Tomato. | Herpell JB, Schindler F, Bejtovic M, Fragner L, Diallo B, Bellaire A, Kublik S, Foesel BU, Gschwendtner S, Kerou M, Schloter M, Weckwerth W. | Front Microbiol | 10.3389/fmicb.2020.00581 | 2020 | ||
| Phylogeny | Burkholderia zhejiangensis sp. nov., a methyl-parathion-degrading bacterium isolated from a wastewater-treatment system. | Lu P, Zheng LQ, Sun JJ, Liu HM, Li SP, Hong Q, Li WJ | Int J Syst Evol Microbiol | 10.1099/ijs.0.035428-0 | 2011 | |
| Phylogeny | Burkholderia bryophila sp. nov. and Burkholderia megapolitana sp. nov., moss-associated species with antifungal and plant-growth-promoting properties. | Vandamme P, Opelt K, Knochel N, Berg C, Schonmann S, De Brandt E, Eberl L, Falsen E, Berg G | Int J Syst Evol Microbiol | 10.1099/ijs.0.65142-0 | 2007 |
| #17227 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 23487 |
| #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 ) |
| #20218 | Verslyppe, B., De Smet, W., De Baets, B., De Vos, P., Dawyndt P.: StrainInfo introduces electronic passports for microorganisms.. Syst Appl Microbiol. 37: 42 - 50 2014 ( DOI 10.1016/j.syapm.2013.11.002 , PubMed 24321274 ) |
| #28459 | IJSEM 2228 2007 ( DOI 10.1099/ijs.0.65142-0 , PubMed 17911288 ) |
| #32217 | 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 #28459 |
| #59766 | Culture Collection University of Gothenburg (CCUG) ; Curators of the CCUG; CCUG 52993 |
| #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) . |
| #68369 | Automatically annotated from API 20NE . |
| #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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https://doi.org/10.13145/bacdive1980.20260601.11
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