Azospirillum baldaniorum Sp245 is a bacterium of the family Azospirillaceae.
genome sequence 16S sequence Bacteria| @ref 20215 |
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| Domain Bacteria |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Rhodospirillales |
| Family Azospirillaceae |
| Genus Azospirillum |
| Species Azospirillum baldaniorum |
| Full scientific name Azospirillum baldaniorum Dos Santos Ferreira et al. 2020 |
| @ref | Gram stain | Confidence | |
|---|---|---|---|
| 125438 | negative | 97.833 |
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | IMG accession | NCBI tax ID | Score | |
|---|---|---|---|---|---|---|---|---|
| 66792 | ASM311919v2 assembly for Azospirillum baldaniorum Sp245 | chromosome | 1064539 | 83.09 | ||||
| 66792 | ASM23736v1 assembly for Azospirillum baldaniorum Sp245 | chromosome | 1064539 | 68.86 | ||||
| 66792 | ASM782791v1 assembly for Azospirillum brasilense BR 11005 | scaffold | 192 | 36.9 |
| @ref | Description | Accession | Length | Database | NCBI tax ID | |
|---|---|---|---|---|---|---|
| 20215 | Azospirillum sp. strain BR 11005 16S ribosomal RNA gene, partial sequence | MT644282 | 1213 | 34012 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | motility | BacteriaNetⓘ | yes | 61.34 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 80.21 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | obligate aerobe | 91.12 | no |
| 125439 | spore_formation | BacteriaNetⓘ | no | 93.96 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 97.83 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 88.08 | no |
| 125438 | aerobic | aerobicⓘ | yes | 74.24 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 84.01 | no |
| 125438 | thermophilic | thermophileⓘ | no | 97.73 | no |
| 125438 | flagellated | motile2+ⓘ | yes | 79.18 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Use of Azospirillum baldaniorum cells in quercetin detection. | Kanevskiy MV, Kosheleva IS, Menukhov VO, Zhdanova ES, Borisova SV, Burygin GL, Konnova SA, Bunin VD, Guliy OI. | ADMET DMPK | 10.5599/admet.1661 | 2023 | ||
| Enzymology | Rhizobacteria Increase the Adaptation Potential of Potato Microclones under Aeroponic Conditions. | Tkachenko OV, Evseeva NV, Kargapolova KY, Denisova AY, Pozdnyakova NN, Kulikov AA, Burygin GL. | Microorganisms | 10.3390/microorganisms11071866 | 2023 | |
| Effect of copper ions on the associations of Azospirillum bacteria with wheat seedlings (Triticum aestivum L.). | Muratova AY, Lyubun EV, Golubev SN, Turkovskaya OV. | Vavilovskii Zhurnal Genet Selektsii | 10.18699/vjgb-22-58 | 2022 | ||
| Fourier Transform Infrared (FTIR) Spectroscopic Analyses of Microbiological Samples and Biogenic Selenium Nanoparticles of Microbial Origin: Sample Preparation Effects. | Kamnev AA, Dyatlova YA, Kenzhegulov OA, Vladimirova AA, Mamchenkova PV, Tugarova AV | Molecules | 10.3390/molecules26041146 | 2021 | ||
| Azospirillum baldaniorum Sp245 exploits Pseudomonas fluorescens A506 biofilm to overgrow in dual-species macrocolonies. | Diaz PR, Romero M, Pagnussatt L, Amenta M, Valverde CF, Camara M, Creus CM, Maroniche GA | Environ Microbiol | 10.1111/1462-2920.16195 | 2022 | ||
| Metabolism | beta-Lactam Resistance in Azospirillum baldaniorum Sp245 Is Mediated by Lytic Transglycosylase and beta-Lactamase and Regulated by a Cascade of RpoE7-->RpoH3 Sigma Factors. | Pandey P, Dubey AP, Mishra S, Singh VS, Singh C, Tripathi AK | J Bacteriol | 10.1128/jb.00010-22 | 2022 | |
| Auxin-Producing Bacteria from Duckweeds Have Different Colonization Patterns and Effects on Plant Morphology. | Gilbert S, Poulev A, Chrisler W, Acosta K, Orr G, Lebeis S, Lam E | Plants (Basel) | 10.3390/plants11060721 | 2022 | ||
| Stress | Azospirillum baldaniorum Sp245 Induces Physiological Responses to Alleviate the Adverse Effects of Drought Stress in Purple Basil. | Mariotti L, Scartazza A, Curadi M, Picciarelli P, Toffanin A | Plants (Basel) | 10.3390/plants10061141 | 2021 | |
| Metabolism | The GGDEF-EAL protein CdgB from Azospirillum baldaniorum Sp245, is a dual function enzyme with potential polar localization. | Viruega-Gongora VI, Acatitla-Jacome IS, Zamorano-Sanchez D, Reyes-Carmona SR, Xiqui-Vazquez ML, Baca BE, Ramirez-Mata A | PLoS One | 10.1371/journal.pone.0278036 | 2022 | |
| Improving the efficacy of potato clonal micropropagation by inoculation with the rhizosphere bacteria Azospirillum baldaniorum Sp245 and Ochrobactrum cytisi IPA7.2. | Kargapolova KY, Tkachenko OV, Burygin GL, Evseeva NV, Shirokov AA, Matora LY, Shchyogolev SY | Vavilovskii Zhurnal Genet Selektsii | 10.18699/VJGB-22-52 | 2022 | ||
| Phylogeny | Azospirillum tabaci sp. nov., a bacterium isolated from rhizosphere soil of Nicotiana tabacum L. | Duan YQ, Zhou XK, Habib N, Gao SQ, Dong LM, Liu XF, Shi YM, Li WJ, Du G | Arch Microbiol | 10.1007/s00203-021-02688-7 | 2021 | |
| Phylogeny | Genome-based reclassification of Azospirillum brasilense Sp245 as the type strain of Azospirillum baldaniorum sp. nov. | Dos Santos Ferreira N, Hayashi Sant' Anna F, Massena Reis V, Ambrosini A, Gazolla Volpiano C, Rothballer M, Schwab S, Baura VA, Balsanelli E, Pedrosa FO, Pereira Passaglia LM, Maltempi de Souza E, Hartmann A, Cassan F, Zilli JE | Int J Syst Evol Microbiol | 10.1099/ijsem.0.004517 | 2020 | |
| Phylogeny | Genome-based reclassification of Azospirillum brasilense Az39 as the type strain of Azospirillum argentinense sp. nov. | Dos Santos Ferreira N, Coniglio A, Puente M, Sant'Anna FH, Maroniche G, Garcia J, Molina R, Nievas S, Volpiano CG, Ambrosini A, Passaglia LMP, Pedraza RO, Reis VM, Zilli JE, Cassan F | Int J Syst Evol Microbiol | 10.1099/ijsem.0.005475 | 2022 |
| #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) . |
| #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 . |
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https://doi.org/10.13145/bacdive167292.20260601.11
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