Natural-selected plastics biodegradation species and enzymes in landfills

Biodegradation is a promising and environmentally friendly strategy for plastic pollution management. Landfills decompose municipal solid waste, including almost 50% of global plastic debris and even some of the oldest synthetic plastics, fostering naturally selected plastic biodegradation. Herein, we present a global collection of plastic biocatalytic enzymes from landfills using metagenomics and machine learning. Metagenomic analysis identified 117 plastic-degrading genes, with 39 incorporated in 22 prokaryotic metagenome-assembled genomes (MAGs). A machine-learning approach predicted 978,107 candidate plastic-degrading genes, 712 of which were encoded respectively by 150 MAGs. Our results highlight landfills as reservoirs of diverse, naturally selected plastic-degrading microbes and enzymes, serving as references and/or models for biocatalysis engineering and in situ bioremediation of plastic pollution.

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Publication Details

Journal
PNAS Nexus
Published
2025-02-27
DOI
https://doi.org/10.1093/pnasnexus/pgaf066
Citations
8
Primary Topic
Microplastics and Plastic Pollution
Type
article
Field-Weighted Citation Impact
3.53

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article

Natural-selected plastics biodegradation species and enzymes in landfills

Liyan Song, Chuanwu Xi, Wenqing Hong, Yang Shu et al.
8 citations
PNAS Nexus
Microplastics and Plastic Pollution
3.53
article

Natural-selected plastics biodegradation species and enzymes in landfills

Liyan Song, Chuanwu Xi, Wenqing Hong, Yang Shu, Xiaoxing Lin, Feng Ju, Xiao Sun, Rui Zhang, Feng-Qi Cui
article en
8 citations

Abstract

Biodegradation is a promising and environmentally friendly strategy for plastic pollution management. Landfills decompose municipal solid waste, including almost 50% of global plastic debris and even some of the oldest synthetic plastics, fostering naturally selected plastic biodegradation. Herein, we present a global collection of plastic biocatalytic enzymes from landfills using metagenomics and machine learning. Metagenomic analysis identified 117 plastic-degrading genes, with 39 incorporated in 22 prokaryotic metagenome-assembled genomes (MAGs). A machine-learning approach predicted 978,107 candidate plastic-degrading genes, 712 of which were encoded respectively by 150 MAGs. Our results highlight landfills as reservoirs of diverse, naturally selected plastic-degrading microbes and enzymes, serving as references and/or models for biocatalysis engineering and in situ bioremediation of plastic pollution.

PNAS NexusVol. 4(3)
University of Science and Technology of China (CN), Anhui University (CN), Hefei University of Technology (CN), University of Michigan (US), Westlake University (CN), Chongqing Institute of Green and Intelligent Technology (CN)
National Natural Science Foundation of China
Life in Land
Openalex Percentile: Top 7%
Microplastics and Plastic Pollution
3.53
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Natural-selected plastics biodegradation species and enzymes in landfills — Liyan Song, Chuanwu Xi, et al. · PNAS Nexus (2025) | TGRS Research Map | TGRS