The accumulation of plastic waste has intensified the need for sustainable materials and effective biodegradation strategies. Biodegradable polyesters such as polylactic acid (PLA) and poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) are increasingly used as alternatives to conventional plastics, yet their degradation mechanisms in complex microbial ecosystems remain insufficiently understood. In particular, the identity, functional potential, and temporal dynamics of microbial communities responsible for polymer depolymerization are poorly characterized at the genomic level. This project aims to elucidate the microbial and enzymatic drivers of polyester biodegradation using long-term anaerobic biodegradation assays conducted with the Automatic Methane Potential Test System (AMPTS) developed by BPC Instruments AB. The biodegradation experiments will extend over three months, enabling the study of slow community adaptation and succession processes that are not captured in short-term assays. Periodic sampling throughout the incubation will be performed to monitor microbial community structure and functional shifts. DNA will be isolated from collected samples and subjected to shotgun metagenome sequencing to obtain a representation of community composition and genetic potential. The resulting datasets are expected to be large, complex, and highly diverse, requiring advanced computational analysis. High-performance computing (HPC) resources are therefore essential for quality control, assembly, binning, taxonomic profiling, functional annotation, and comparative analyses across time points. The computational analyses will address two primary objectives. First, we will characterize microbial community dynamics throughout the biodegradation process, identifying key taxa associated with polymer degradation and determining how community composition evolves during extended incubation. Second, we will identify and functionally annotate genes and pathways potentially involved in polyester depolymerization, with particular emphasis on discovering novel enzymes and catalytic mechanisms relevant to plastic degradation. By integrating controlled biodegradation experiments with metagenomic analysis, this study will provide mechanistic insight into the biological processes governing bioplastic degradation. The findings will contribute to the understanding of microbial ecology in engineered biodegradation systems and support the discovery of enzymes with potential applications in waste management, biotechnology, and sustainable materials development. The project is inherently data-intensive and computationally demanding. HPC resources provided by NAISS are therefore critical for enabling timely and robust analysis of metagenomic datasets, ensuring reproducibility, and supporting advanced bioinformatic workflows. The outcomes of this work will generate valuable genomic resources and knowledge relevant to environmental biotechnology and circular materials strategies.