Metagenomic Data for a Synthetic Consortium Degrading PP/PE/PVC Microplastics

Shotgun metagenomic sequencing data from a synthetic microbial consortium designed to transform mixed microplastics, including polypropylene (PP), polyethylene (PE), and polyvinyl chloride (PVC). The dataset supports investigation of community composition, functional gene profiles, and metabolic pathways like hydrocarbon oxidation and β-oxidation. It is associated with a study on mechanistic insights into multi-polymer microplastic transformation.

Use Cases

• Analyzing microbial community composition shifts during multi-polymer degradation based on metagenomic sequencing data.
• Investigating functional gene profiles related to hydrocarbon oxidation and β-oxidation pathways.
• Studying coordinated metabolic interactions within a designed synthetic microbial consortium.
• Benchmarking bioinformatic pipelines for processing metagenomic data from plastic-degrading consortia.

Strengths

• Dataset is under a permissive CC-BY-4.0 license, facilitating reuse and sharing.
• Functional annotation provides specific insights into pathways like hydrocarbon oxidation and β-oxidation.
• Data is associated with a specific study on mechanistic insights into multi-polymer transformation.

Limitations

• Column names and row counts are not specified, limiting understanding of the data structure.
• The dataset size (38379) is provided but its unit (e.g., files, entries) is unclear.
• No information is provided on the temporal or geographical coverage of the sampling.

Provenance

Source

Aophat Choonut

Collection Method

Generated from shotgun metagenomic sequencing of a synthetic microbial consortium constructed via a stepwise enrichment–selection–reconstruction strategy.

Freshness

Last updated on 2026-03-20.