ReviewJournal of microbiology (Seoul, Korea)2022
Biodegradation of plastics: mining of plastic-degrading microorganisms and enzymes using metagenomics approaches.
Review in Journal of microbiology (Seoul, Korea), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Integrative frameworks for plastic biodegradation in insect-microbiome systems: mechanistic insights, emerging multi-omics and enzyme engineering perspectives.Biodegradation · 2026Review
- Microbial and Enzymatic Degradation of Nylon: Mechanisms, Diversity, and Biotechnological Application.Journal of microbiology and biotechnology · 2026Review
- Genome mining and screening for plastic-degrading potential in marine bacteria.Applied microbiology and biotechnology · 2026Article
- Construction of microbial systems for polyethylene terephthalate degradation.Synthetic and systems biotechnology · 2025Review
- Microbial diversity analysis of municipal solid waste landfills soils of Delhi (NCR) and plastic dump sites of Uttar Pradesh region of India and their function prediction for plastic degrading enzymes.World journal of microbiology & biotechnology · 2025Article
- XenoBug: machine learning-based tool to predict pollutant-degrading enzymes from environmental metagenomes.NAR genomics and bioinformatics · 2025Article
- PEZy-miner: An artificial intelligence driven approach for the discovery of plastic-degrading enzyme candidates.Metabolic engineering communications · 2024Article
- Progress in polystyrene biodegradation by insect gut microbiota.World journal of microbiology & biotechnology · 2024Review
- Searching for new plastic-degrading enzymes from the plastisphere of alpine soils using a metagenomic mining approach.PloS one · 2024Article
- Biodegradation of Poly(ethylene terephthalate) byInternational journal of molecular sciences · 2023Article
- Microbial Enzyme Biotechnology to Reach Plastic Waste Circularity: Current Status, Problems and Perspectives.International journal of molecular sciences · 2023Review
- Trends inComputational and structural biotechnology journal · 2023Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plastic pollution exacerbated by the excessive use of synthetic plastics and its recalcitrance has been recognized among the most pressing global threats. Microbial degradation of plastics has gained attention as a possible eco-friendly countermeasure, as several studies have shown microbial metabolic capabilities as potential degraders of various synthetic plastics. However, still defined biochemical mechanisms of biodegradation for the most plastics remain elusive, because the widely used culture-dependent approach can access only a very limited amount of the metabolic potential in each microbiome. A culture-independent approach, including metagenomics, is becoming increasingly important in the mining of novel plastic-degrading enzymes, considering its more expanded coverage on the microbial metabolism in microbiomes. Here, we described the advantages and drawbacks associated with four different metagenomics approaches (microbial community analysis, functional metagenomics, targeted gene sequencing, and whole metagenome sequencing) for the mining of plastic-degrading microorganisms and enzymes from the plastisphere. Among these approaches, whole metagenome sequencing has been recognized among the most powerful tools that allow researchers access to the entire metabolic potential of a microbiome. Accordingly, we suggest strategies that will help to identify plastisphere-enriched sequences as de novo plastic-degrading enzymes using the whole metagenome sequencing approach. We anticipate that new strategies for metagenomics approaches will continue to be developed and facilitate to identify novel plastic-degrading microorganisms and enzymes from microbiomes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.