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handle: 11441/147421 , 10261/334681
The Donana ˜ wetlands comprise an emblematic Mediterranean landscape protected as a UNESCO World Heritage Site. Some parts of these wetlands have been transformed into intensive rice cultivation areas, which are currently the most productive rice-growing areas in Europe. We examined the bacterial communities in these domesticated soils as they are key for plant health and productivity and have a strong influence on biochemical cycles. To identify the bacteria, we used metabarcoding analysis coupled with metabolic predictions and cooccurrence networks. This analysis was performed in the bulk and rhizosphere soils during different stages in the growing season. These soil compartments had a greater effect on the bacterial communities than the plant phenological stages. The diversity and richness of the bacterial population inhabiting the rhizosphere was much lower than that in the bulk soil, comprising taxa that were significantly more represented in this soil compartment, such as bacteria from the genus Hydrogenophaga, three genera from the order Rhizobiales, and unclassified genera from the families Desulfocapsaceae and Actinobacteria. Rhizosphere co-occurrence networks revealed a high number of negative connections, indicating unstable bacterial communities that may be highly influenced by biotic and abiotic factors. Rhizosphere networks mostly rely on two taxa belonging to the phyla Proteobacteria and Cyanobacteria, which are the predicted network hubs in this soil compartment. The bulk soil conserved high bacterial diversity and richness that was stable throughout the growth period of rice. Anaerobic bacteria from genera Marmoricola, the uncultured Gemmatimonadota bacteria SDR1034 terrestrial group, Anaerolinea, and the sulphur oxidizer, Thiobacillus were highly represented. This analysis provides valuable information for understanding bacterial diversity in the rhizosphere of rice cultivated in this region, which is critical for enhancing plant growth and productivity.
Corporación Tecnológica de Andalucía (CTA) - BFE14300
Universidad de Sevilla - VI PPIT-US
Bacteriome, Rhizosphere, Metabarcoding, Bacterial potential functionality, Metabarcoding16S rRNA, 16S rRNA, Co-occurrence networks
Bacteriome, Rhizosphere, Metabarcoding, Bacterial potential functionality, Metabarcoding16S rRNA, 16S rRNA, Co-occurrence networks
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