Molecular docking and metagenomics assisted mitigation of microplastic pollution

基因组 微塑料 生化工程 污染物 生物降解 微生物降解 计算生物学 生物 环境化学 化学 生态学 工程类 微生物 细菌 生物化学 遗传学 基因
作者
Dinesh Parida,Konica Katare,Ashit K. Ganguly,Disha Chakraborty,Oisi Konar,Regina Apolinária Nogueira,Boggavarapu Kiran
出处
期刊:Chemosphere [Elsevier BV]
卷期号:351: 141271-141271
标识
DOI:10.1016/j.chemosphere.2024.141271
摘要

Microplastics, tiny, flimsy, and direct progenitors of principal and subsidiary plastics, cause environmental degradation in aquatic and terrestrial entities. Contamination concerns include irrevocable impacts, potential cytotoxicity, and negative health effects on mortals. The detection, recovery, and degradation strategies of these pollutants in various biota and ecosystems, as well as their impact on plants, animals, and humans, have been a topic of significant interest. But the natural environment is infested with several types of plastics, all having different chemical makeup, structure, shape, and origin. Plastic trash acts as a substrate for microbial growth, creating biofilms on the plastisphere surface. This colonizing microbial diversity can be glimpsed with meta-genomics, a culture-independent approach. Owing to its comprehensive description of microbial communities, genealogical evidence on unconventional biocatalysts or enzymes, genomic correlations, evolutionary profile, and function, it is being touted as one of the promising tools in identifying novel enzymes for the degradation of polymers. Additionally, computational tools such as molecular docking can predict the binding of these novel enzymes to the polymer substrate, which can be validated through in vitro conditions for its environmentally feasible applications. This review mainly deals with the exploration of metagenomics along with computational tools to provide a clearer perspective into the microbial potential in the biodegradation of microplastics. The computational tools due to their polymathic nature will be quintessential in identifying the enzyme structure, binding affinities of the prospective enzymes to the substrates, and foretelling of degradation pathways involved which can be quite instrumental in the furtherance of the plastic degradation studies.
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