Plastic‐Microbial <scp>BioRemediation DB</scp> : A Curated Database for Multi‐Omics Applications

Plastic pollution is a major environmental challenge, with millions of tonnes produced annually and accumulating in ecosystems, causing long-term harm. Conventional disposal methods, such as landfilling and incineration, are often inadequate, emphasising the need for sustainable solutions like bioremediation. However, the bacterial biodiversity involved in plastic biodegradation remains poorly understood. To address this gap, we present the Plastic-Microbial BioRemediation (Plastic-MBR) database, a curated multi-omics resource that integrates publicly available genetic and enzymatic data related to putative plastic-degrading microorganisms. This database supports in silico analyses of metagenomic data from plastic-contaminated environments and comparative genomics, aiming to identify microbial taxa with potential plastic-degrading functions. We validated the functionality of the Plastic-MBR database by applying it to metagenomic datasets from plastic-contaminated soil and river water, successfully identifying numerous putative plastic-degrading genes across diverse microbial taxa. These results support the use of the Plastic-MBR database as a tool to identify candidate bacteria for future experimental validation, strain isolation, and functional studies, ultimately contributing to a deeper understanding of microbial potential in plastic bioremediation. While this study focuses on database development and computational validation, future studies will be essential to confirm and translate these genomic predictions into effective bioremediation strategies.

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Publication Details

Journal
Environmental Microbiology Reports
Published
2025-09-08
DOI
https://doi.org/10.1111/1758-2229.70178
Citations
2
Primary Topic
Microplastics and Plastic Pollution
Type
article
Field-Weighted Citation Impact
1.01
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article

Plastic‐Microbial BioRemediation DB : A Curated Database for Multi‐Omics Applications

Gabriele Andrea Lugli, Christian Milani, Chiara Tarracchini, Marco Ventura et al.
2 citations
Environmental Microbiology Reports
Microplastics and Plastic Pollution
1.01
article

Plastic‐Microbial BioRemediation DB : A Curated Database for Multi‐Omics Applications

Gabriele Andrea Lugli, Christian Milani, Chiara Tarracchini, Marco Ventura, Francesca Turroni, Leonardo Mancabelli, Silvia Petraro
article en
2 citations

Abstract

Plastic pollution is a major environmental challenge, with millions of tonnes produced annually and accumulating in ecosystems, causing long-term harm. Conventional disposal methods, such as landfilling and incineration, are often inadequate, emphasising the need for sustainable solutions like bioremediation. However, the bacterial biodiversity involved in plastic biodegradation remains poorly understood. To address this gap, we present the Plastic-Microbial BioRemediation (Plastic-MBR) database, a curated multi-omics resource that integrates publicly available genetic and enzymatic data related to putative plastic-degrading microorganisms. This database supports in silico analyses of metagenomic data from plastic-contaminated environments and comparative genomics, aiming to identify microbial taxa with potential plastic-degrading functions. We validated the functionality of the Plastic-MBR database by applying it to metagenomic datasets from plastic-contaminated soil and river water, successfully identifying numerous putative plastic-degrading genes across diverse microbial taxa. These results support the use of the Plastic-MBR database as a tool to identify candidate bacteria for future experimental validation, strain isolation, and functional studies, ultimately contributing to a deeper understanding of microbial potential in plastic bioremediation. While this study focuses on database development and computational validation, future studies will be essential to confirm and translate these genomic predictions into effective bioremediation strategies.

Environmental Microbiology ReportsVol. 17(5)
University of Parma (IT)
Openalex Percentile: Top 23%
Microplastics and Plastic Pollution
1.01
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