Conventional agricultural practices, such as rice plantations, often contaminate the soil and water with xenobiotics. Here we evaluated the microbiota composition in experimental rice planting with a record of prolonged pesticide use, using 16S and 18S rRNA amplicon sequencing. We investigated four components of a complete agricultural system: affluent water (A), rice rhizosphere soil (R), sediment from a storage pond (S), and effluent (E) water (drained from the storage pond). Despite the short spatial distance between our sites, the beta diversity analysis of bacterial communities showed two well-defined clusters, separating the water and sediment/rhizosphere samples; rhizosphere and sediment were richer while the effluent was less diverse. Overall, the site with the highest evenness was the rhizosphere. Unlike the bacterial communities, Shannon diversity of microeukaryotes was significantly different between A and E. The effluent presented the lowest values for all ecological indexes tested and differed significantly from all sampled sites, except on evenness. When mapped the metabolic pathways, genes corresponding to the degradation of aromatic compounds, including genes related to pesticide degradation, were identified. The most abundant genes were related to the degradation of benzoate. Our results indicate that the effluent is a selective environment for fungi. Interestingly, the overall fungal diversity was higher in the affluent, the water that reached the system before pesticide application, and where the prokaryotic diversity was the lowest. The affluent and effluent seem to have the lowest environmental quality, given the presence of bacteria genera previously recorded in environments with high concentrations of pesticide residues. The microbiota, environmental characteristics, and pesticide residues should be further studied and try to elucidate the potential for pesticide degradation by natural consortia. Thus, extensive comparative studies are needed to clarify the microbial composition, diversity, and functioning of rice cultivation environments, and how pesticide use changes may reflect differences in microbial structure.
Keywords: Biotic and abiotic interactions; Land management; Microbial communities; Pesticides.