Natural-selected plastics biodegradation species and enzymes in landfills.

IF 3.8 Q2 MULTIDISCIPLINARY SCIENCES PNAS nexus Pub Date : 2025-03-18 eCollection Date: 2025-03-01 DOI:10.1093/pnasnexus/pgaf066
Xiaoxing Lin, Rui Zhang, Feng-Qi Cui, Wenqing Hong, Shu Yang, Feng Ju, Chuanwu Xi, Xiao Sun, Liyan Song
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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.

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垃圾填埋场中天然选择的塑料生物降解物种和酶。
生物降解是一种很有前途的环境友好型塑料污染管理策略。垃圾填埋场分解城市固体废物,包括全球近50%的塑料碎片,甚至一些最古老的合成塑料,促进自然选择的塑料生物降解。在此,我们使用宏基因组学和机器学习从垃圾填埋场收集了全球塑料生物催化酶。宏基因组分析鉴定了117个塑料降解基因,其中39个被纳入22个原核生物宏基因组组装基因组(MAGs)。机器学习方法预测了978,107个候选塑料降解基因,其中712个分别由150个mag编码。我们的研究结果强调,垃圾填埋场是多种自然选择的塑料降解微生物和酶的储存库,可作为生物催化工程和塑料污染的原位生物修复的参考和/或模型。
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