Rhizobium pisi DSM 30132 is a mesophilic prokaryote that was isolated from effective nodules Pisum sativum.
mesophilic genome sequence 16S sequence| @ref 20215 |
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| Domain Pseudomonadati |
| Phylum Pseudomonadota |
| Class Alphaproteobacteria |
| Order Hyphomicrobiales |
| Family Rhizobiaceae |
| Genus Rhizobium |
| Species Rhizobium pisi |
| Full scientific name Rhizobium pisi Ramírez-Bahena et al. 2008 |
| Synonyms (1) |
| BacDive ID | Other strains from Rhizobium pisi (2) | Type strain |
|---|---|---|
| 176919 | R. pisi CT11-79, DSM 115898 | |
| 176920 | R. pisi CT11-48, DSM 115917 |
| @ref | Name | Growth | Medium link | Composition | |
|---|---|---|---|---|---|
| 9153 | NUTRIENT AGAR (DSMZ Medium 1) | Medium recipe at MediaDive | Name: NUTRIENT AGAR (DSMZ Medium 1) Composition: Agar 15.0 g/l Peptone 5.0 g/l Meat extract 3.0 g/l Distilled water | ||
| 9153 | RHIZOBIUM MEDIUM (DSMZ Medium 98) | Medium recipe at MediaDive | Name: RHIZOBIUM MEDIUM (DSMZ Medium 98) Composition: air-dried garden soil 80.0 g/l Agar 15.0 g/l Mannitol 10.0 g/l Yeast extract 1.0 g/l Na2CO3 0.2 g/l Distilled water |
| @ref | Oxygen tolerance | Confidence | |
|---|---|---|---|
| 125439 | aerobe | 93.4 |
| @ref | Chebi-ID | Metabolite | Utilization activity | Kind of utilization tested | |
|---|---|---|---|---|---|
| 68369 | 17128 ChEBI | adipate | - | assimilation | from API 20NE |
| 68369 | 29016 ChEBI | arginine | - | hydrolysis | from API 20NE |
| 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 |
| 68369 | 27689 ChEBI | decanoate | - | assimilation | from API 20NE |
| 68369 | 4853 ChEBI | esculin | + | hydrolysis | from API 20NE |
| 68369 | 5291 ChEBI | gelatin | - | hydrolysis | from API 20NE |
| 68369 | 24265 ChEBI | gluconate | - | assimilation | from API 20NE |
| 68369 | 30849 ChEBI | L-arabinose | + | assimilation | from API 20NE |
| 68369 | 25115 ChEBI | malate | + | assimilation | from API 20NE |
| 68369 | 17306 ChEBI | maltose | + | assimilation | from API 20NE |
| 68369 | 59640 ChEBI | N-acetylglucosamine | + | assimilation | from API 20NE |
| 68369 | 17632 ChEBI | nitrate | - | reduction | from API 20NE |
| 68369 | 27897 ChEBI | tryptophan | - | energy source | from API 20NE |
| 68369 | 16199 ChEBI | urea | + | hydrolysis | from API 20NE |
| Cat1 | Cat2 | Cat3 | |
|---|---|---|---|
| #Host | #Plants | #Herbaceous plants (Grass,Crops) | |
| #Host Body-Site | #Plant | #Root nodule |
Global distribution of 16S sequence AY509899 (>99% sequence identity) for Rhizobium from Microbeatlas ![]()
| @ref | Description | Assembly level | INSDC accession | BV-BRC accession | NCBI tax ID | Score | IMG accession | |
|---|---|---|---|---|---|---|---|---|
| 66792 | Rhizobium pisi DSM 30132 | complete | 574561 | 85.07 | ||||
| 66792 | ASM393865v1 assembly for Rhizobium pisi DSM 30132 | contig | 574561 | 64.88 |
| 9153 | GC-content (mol%)61.5 |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125439 | spore_formation | BacteriaNetⓘ | no | 96.80 | no |
| 125439 | motility | BacteriaNetⓘ | yes | 56.10 | no |
| 125439 | gram_stain | BacteriaNetⓘ | negative | 96.50 | no |
| 125439 | oxygen_tolerance | BacteriaNetⓘ | aerobe | 93.40 | no |
| @ref | Trait | Model | Prediction | Confidence in % | In training data |
|---|---|---|---|---|---|
| 125438 | gram-positive | gram-positiveⓘ | no | 98.33 | no |
| 125438 | anaerobic | anaerobicⓘ | no | 95.54 | no |
| 125438 | spore-forming | spore-formingⓘ | no | 90.29 | no |
| 125438 | aerobic | aerobicⓘ | yes | 84.68 | no |
| 125438 | thermophilic | thermophileⓘ | no | 99.25 | yes |
| 125438 | flagellated | motile2+ⓘ | yes | 69.97 | no |
| Topic | Title | Authors | Journal | DOI | Year | |
|---|---|---|---|---|---|---|
| Genetics | Genomic Metrics Applied to Rhizobiales (Hyphomicrobiales): Species Reclassification, Identification of Unauthentic Genomes and False Type Strains. | Volpiano CG, Sant'Anna FH, Ambrosini A, de Sao Jose JFB, Beneduzi A, Whitman WB, de Souza EM, Lisboa BB, Vargas LK, Passaglia LMP. | Front Microbiol | 10.3389/fmicb.2021.614957 | 2021 | |
| Phylogeny | A database for the taxonomic and phylogenetic identification of the genus Bradyrhizobium using multilocus sequence analysis. | Azevedo H, Lopes F, Silla P, Hungria M. | BMC Genomics | 10.1186/1471-2164-16-s5-s10 | 2015 | |
| Phylogeny | Rhizobium pisi sv. trifolii K3.22 harboring nod genes of the Rhizobium leguminosarum sv. trifolii cluster. | Marek-Kozaczuk M, Leszcz A, Wielbo J, Wdowiak-Wrobel S, Skorupska A | Syst Appl Microbiol | 10.1016/j.syapm.2013.01.005 | 2013 | |
| Phylogeny | Revision of the taxonomic status of the species Rhizobium leguminosarum (Frank 1879) Frank 1889AL, Rhizobium phaseoli Dangeard 1926AL and Rhizobium trifolii Dangeard 1926AL. R. trifolii is a later synonym of R. leguminosarum. Reclassification of the strain R. leguminosarum DSM 30132 (=NCIMB 11478) as Rhizobium pisi sp. nov. | Ramirez-Bahena MH, Garcia-Fraile P, Peix A, Valverde A, Rivas R, Igual JM, Mateos PF, Martinez-Molina E, Velazquez E | Int J Syst Evol Microbiol | 10.1099/ijs.0.65621-0 | 2008 |
| #9153 | Leibniz Institut DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH ; Curators of the DSMZ; DSM 30132 |
| #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) . |
| #67770 | Japan Collection of Microorganism (JCM) ; Curators of the JCM; |
| #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 . |
| #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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https://doi.org/10.13145/bacdive13636.20251217.10
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