Paraburkholderia heleia SA41 is an aerobe, Gram-negative, rod-shaped bacterium that was isolated from plant associated.
Gram-negative rod-shaped 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 heleia |
| Full scientific name Paraburkholderia heleia (Aizawa et al. 2010) Sawana et al. 2015 |
| Synonyms (1) |
| 29532 | Sample typeplant associated |
Global distribution of 16S sequence AB495123 (>99% sequence identity) for Paraburkholderia heleia from Microbeatlas ![]()
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 98.30 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 73.50 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 98.90 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 98.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.00 | yes |
| 125438 | anaerobic | anaerobicⓘ | no | 95.63 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 85.21 | no |
| 125438 | aerobic | aerobicⓘ | yes | 92.34 | yes |
| 125438 | thermophilic | thermophileⓘ | no | 97.50 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 84.89 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Evaluation of an Epitypified Ophiocordyceps formosana (Cordyceps s.l.) for Its Pharmacological Potential. | Wang YW, Hong TW, Tai YL, Wang YJ, Tsai SH, Lien PT, Chou TH, Lai JY, Chu R, Ding ST, Irie K, Li TK, Tzean SS, Shen TL. | Evid Based Complement Alternat Med | 10.1155/2015/189891 | 2015 | ||
| 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 | ||
| Enzymology | Burkholderia humi sp. nov., isolated from peat soil. | Srinivasan S, Kim J, Kang SR, Jheong WH, Lee SS. | Curr Microbiol | 10.1007/s00284-012-0270-9 | 2013 | |
| Phylogeny | Paraburkholderia caseinilytica sp. nov., isolated from the pine and broad-leaf mixed forest soil. | Gao ZH, Zhong SF, Lu ZE, Xiao SY, Qiu LH | Int J Syst Evol Microbiol | 10.1099/ijsem.0.002774 | 2018 | |
| Phylogeny | Burkholderia heleia sp. nov., a nitrogen-fixing bacterium isolated from an aquatic plant, Eleocharis dulcis, that grows in highly acidic swamps in actual acid sulfate soil areas of Vietnam. | Aizawa T, Ve NB, Nakajima M, Sunairi M | Int J Syst Evol Microbiol | 10.1099/ijs.0.015198-0 | 2009 |
| #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 ) |
| #25929 | IJSEM 1152 2010 ( DOI 10.1099/ijs.0.015198-0 , PubMed 19666801 ) |
| #29532 | 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 #25929 |
| #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) . |
| #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 . |
| #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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