Shotgun metagenomic dataset of a synthetic microbial consortium for mixed PP/PE/PVC microplastic transformation

This dataset contains raw and processed shotgun metagenomic sequencing data generated from a synthetic microbial consortium developed for the transformation of mixed microplastics composed of polypropylene (PP), polyethylene (PE), and polyvinyl chloride (PVC). The consortium was constructed using a stepwise enrichment–selection–reconstruction strategy to enhance degradation performance under environmentally relevant conditions. The dataset supports the investigation of microbial community composition, functional gene profiles, and metabolic pathways associated with multi-polymer microplastic transformation. Functional annotation highlights pathways related to hydrocarbon oxidation, β-oxidation, and intermediate metabolism, suggesting coordinated metabolic interactions within the consortium. These data are associated with the study entitled “Mechanistic insights into multi-polymer microplastic transformation by a rationally designed synthetic microbial consortium.” The dataset is intended to facilitate further research on microbial degradation mechanisms, consortium design, and biotechnological applications for plastic waste mitigation.