After completion of an ongoing pilot study, this project will analyze the microbiota of over 150 wild chironomid larvae to investigate the relationship between proximity to wastewater treatment plants and the load of antimicrobial resistance (AMR) genes within their associated bacterial communities. Metagenomic sequencing data will be processed to reconstruct microbial genomes and identify AMR determinants. The analysis will be performed using the nf-core/mag workflow implemented in Nextflow, which has already been tested and validated on pilot samples. This pipeline includes host read removal, de novo assembly, binning of contigs into metagenome-assembled genomes (MAGs), quality assessment, and taxonomic and functional annotation. In addition to the standard pipeline, complementary analyses will be performed. These include assembly and annotation of host-derived reads to confirm chironomid species identity, as well as targeted identification of antimicrobial resistance genes, including plasmid-associated elements. The project will generate a comprehensive dataset linking environmental exposure gradients to microbial community composition and resistance gene prevalence. These results will contribute to understanding the environmental dissemination of antimicrobial resistance and the ecological role of aquatic invertebrates as potential reservoirs and vectors.