Deciphering the Structural and Functional Diversity of Rhizobacteria from Stone Pine Inoculated with Plant Growth Promoting Rhizobacteria (PGPR) before and after Transplanted into Degraded Agricultural Soil
dc.centro | Universidad San Pablo-CEU | |
dc.contributor.author | García Villaraco, Ana | |
dc.contributor.author | Ramos Solano, Beatriz | |
dc.contributor.author | García-Villaraco Velasco, Ana | |
dc.contributor.author | Gutiérrez Mañero, Javier | |
dc.contributor.author | Lucas García, José Antonio | |
dc.contributor.other | Universidad San Pablo-CEU. Facultad de Farmacia | |
dc.contributor.other | Grupo: Biotecnología de la Interacción Planta-Microbioma (PLANTA-MICROBIOMA) | |
dc.date.accessioned | 2024-05-30T17:30:53Z | |
dc.date.available | 2024-05-30T17:30:53Z | |
dc.date.issued | 2024-03-26 | |
dc.description | Información adicional en https: //www.mdpi.com/article/10.3390/soilsystems8020039/s1 | |
dc.description.abstract | The use of plant growth-promoting rhizobacteria (PGPR) inoculated on plants has shown that it can increase the success of reforestation and accelerate soil recovery by improving soil microbial diversity. Three PGPR isolated from natural pine populations were selected for their metabolic capabilities and taxonomic affiliation (Z4.3; Bacillus sp., Z5.4; Arthobacter sp., and Z7.15; and Pseudomonas sp.) when inoculated alone or in combination (consortium) on stone pine seedlings before transplanting to the field. Before transplanting and after nine months, rhizospheric soil samples were collected for structural and functional metagenomic studies. First, the data were analyzed using EasyMAP. Neither alpha nor beta diversity showed significant differences between the samples, although unique taxa representative of each sample were detected. The predominant phylum in all cases was Proteobacteria, followed by Bacteroidetes and Acidobacteria. The linear discriminant analysis (LDA) effect size (LEfSe) found significantly over-represented taxa in some samples, highlighting different representatives of the order Sphingomonadales in several of them. Functional inference performed with PICRUSt also showed significantly over-represented functions in some samples. The study demonstrates that PGPR have a positive effect on plants and cause detectable changes in microbial communities in terms of both structure and function. | en_EN |
dc.format | application/pdf | |
dc.identifier.citation | Garcia-Villaraco, A.; Ramos Solano, B.; Gutierrez-Mañero, F.J.; Lucas, J.A. Deciphering the Structural and Functional Diversity of Rhizobacteria from Stone Pine Inoculated with Plant Growth Promoting Rhizobacteria (PGPR) before and after Transplanted into Degraded Agricultural Soil. Soil Syst. 2024, 8, 39. https://doi.org/10.3390/ soilsystems8020039 | en_EN |
dc.identifier.doi | 10.3390/soilsystems8020039 | |
dc.identifier.issn | 2571-8789 | |
dc.identifier.uri | http://hdl.handle.net/10637/15879 | |
dc.language.iso | en | |
dc.publisher | MDPI | |
dc.relation.projectID | Project IDI-20180364: Investigation of combined grafting and inoculation techniques aimed at the generation of Pinus pinea seedlings that are super-producers of pine nuts and at the recovery of degraded soils | |
dc.relation.projectID | FEDER funds through the Pluriregional Operational Program of Spain 2014-2020 and the CDTI (Center for Technological Development and Innovation, Ministerio de Ciencia, Innovación y Universidades, Gobierno de España) | |
dc.rights | open access | |
dc.rights.cc | https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es | |
dc.subject | Metagenomics | en_EN |
dc.subject | Reforestation | en_EN |
dc.subject | Degraded soils | en_EN |
dc.title | Deciphering the Structural and Functional Diversity of Rhizobacteria from Stone Pine Inoculated with Plant Growth Promoting Rhizobacteria (PGPR) before and after Transplanted into Degraded Agricultural Soil | en_EN |
dc.type | Artículo | |
dspace.entity.type | Publication | es |
relation.isAuthorOfPublication | 7940acd8-602d-4008-b965-6a45407ee6da | |
relation.isAuthorOfPublication | 66d13781-d5f0-4e5b-a4af-eea66686e226 | |
relation.isAuthorOfPublication | e64a1ade-f974-48eb-a5fb-d052403f65d4 | |
relation.isAuthorOfPublication | 8883cc70-1057-4b11-bfca-28a45ac2cf0f | |
relation.isAuthorOfPublication.latestForDiscovery | 7940acd8-602d-4008-b965-6a45407ee6da |
Files
Original bundle
1 - 1 of 1
- Name:
- Deciphering_Garcia_et_al_Soil_Syst_2024.pdf
- Size:
- 1.21 MB
- Format:
- Adobe Portable Document Format
- Description: