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Next-generation strategies for PLA degradation: microbial consortia, metagenomics, enzyme engineering and AI-guided approaches.

Jonathan AR, Balasubramanian VK, Ho ST, Chen YP, Khunnamwong P

Summary

4.5/10

Scientists are developing faster ways to break down PLA plastic using beneficial microbes, fungi, and AI-designed enzymes, which could revolutionize how we manage plastic waste in composting facilities and landfills.

Key Findings

1

Microbial consortia and thermophilic degraders overcome PLA's crystalline structure and inherently slow natural degradation

2

Screening of insect gut microbiota and fungal species identifies promising new sources of PLA-degrading organisms

3

AI-powered enzyme engineering enables rational design of depolymerases with improved catalytic efficiency and thermostability

description

Original Abstract

Polylactic acid (PLA) is one of the most widely used biodegradable bioplastics; however, its slow degradation under natural conditions limits its environmental sustainability. This review summarizes recent advances in microbial and biotechnological strategies that enhance PLA biodegradation across diverse ecosystems. Emerging approaches include screening insect gut microbiota, isolating fungal species with strong adsorption or enzymatic capacities, and exploring soil, compost, and aquatic microbiomes using metagenomics and environmental DNA (eDNA) tools. Microbial consortia, thermophilic degraders, and co-culture systems are highlighted as effective solutions to overcome the intrinsic crystallinity and hydrolysis-dependent breakdown of PLA. Beyond natural systems, this review emphasizes the increasing role of synthetic biology, directed evolution, and artificial intelligence (AI) in engineering high-performance PLA-degrading enzymes. AI-driven structural prediction and machine-learning platforms offer new possibilities for designing robust depolymerases with improved specificity, thermostability, and catalytic efficiency. Collectively, these multidisciplinary strategies provide a roadmap for accelerating PLA degradation in industrial composting, wastewater treatment, and bioremediation. Future integration of ecological screening with computational enzyme engineering is expected to advance scalable and sustainable PLA waste management.