ReviewCurrent genomics2020
Metagenomic Exploration of Plastic Degrading Microbes for Biotechnological Application.
Review in Current genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed.
- Bacterial community colonization with minimal alteration of plastics in suboxic sediments from a marine methane seep.Applied and environmental microbiology · 2026Article
- Rethinking microplastic cleanup: sustainable bioremediation compared to conventional physical-chemical methods.RSC advances · 2026Review
- Harnessing bacterial power and omics technologies for sustainable plastic waste biodegradation.Biodegradation · 2026Review
- Review
- Exploring theFrontiers in microbiology · 2026Article
- Insights into Microbial Enzymatic Biodegradation of Plastics and Microplastics: Technological Updates.ACS environmental Au · 2025Review
- The Role of Omics Technology in Evaluating Plastic Pollution's Effects on Plants: A Comprehensive Review.International journal of molecular sciences · 2025Review
- Computational identification of plastic-degrading enzymes in ocean microbiomes.Scientific reports · 2025Article
- Mission Tara Microplastics: a holistic set of protocols and data resources for the field investigation of plastic pollution along the land-sea continuum in Europe.Environmental science and pollution research international · 2025Article
- Assessing Recent Technologies for Addressing Microplastic Pollution and Pushing the Case of Bioremediation as an Attractive Approach.Recent advances in food, nutrition & agriculture · 2025Review
- Genetically encoded biosensors for the circular plastics bioeconomy.Metabolic engineering communications · 2024Article
- Omic-driven strategies to unveil microbiome potential for biodegradation of plastics: a review.Archives of microbiology · 2024Review
- Enterobacter cloacae-mediated polymer biodegradation: in-silico analysis predicts broad spectrum degradation potential by Alkane monooxygenase.Biodegradation · 2024Article
- Review of nomenclature and methods of analysis of polyethylene terephthalic acid hydrolyzing enzymes activity.Biodegradation · 2024Review
- Searching for new plastic-degrading enzymes from the plastisphere of alpine soils using a metagenomic mining approach.PloS one · 2024Article
- Exploring untapped bacterial communities and potential polypropylene-degrading enzymes from mangrove sediment through metagenomics analysis.Frontiers in microbiology · 2024Article
- Exploring Microorganisms from Plastic-Polluted Sites: Unveiling Plastic Degradation and PHA Production Potential.Microorganisms · 2023Article
- Biodegradation of polystyrene by intestinal symbiotic bacteria isolated from mealworms, the larvae ofHeliyon · 2023Article
- Trends inComputational and structural biotechnology journal · 2023Review
- A bibliometric analysis of the global impact of metaproteomics research.Frontiers in microbiology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since the last few decades, the promiscuous and uncontrolled use of plastics led to the accumulation of millions of tons of plastic waste in the terrestrial and marine environment. It elevated the risk of environmental pollution and climate change. The concern arises more due to the reckless and unscientific disposal of plastics containing high molecular weight polymers, viz., polystyrene, polyamide, polyvinylchloride, polypropylene, polyurethane, and polyethylene, etc. which are very difficult to degrade. Thus, the focus is now paid to search for efficient, eco-friendly, low-cost waste management technology. Of them, degradation of non-degradable synthetic polymer using diverse microbial agents, viz., bacteria, fungi, and other extremophiles become an emerging option. So far, very few microbial agents and their secreted enzymes have been identified and characterized for plastic degradation, but with low efficiency. It might be due to the predominance of uncultured microbial species, which consequently remain unexplored from the respective plastic degrading milieu. To overcome this problem, metagenomic analysis of microbial population engaged in the plastic biodegradation is advisable to decipher the microbial community structure and to predict their biodegradation potential in situ. Advancements in sequencing technologies and bioinformatics analysis allow the rapid metagenome screening that helps in the identification of total microbial community and also opens up the scope for mining genes or enzymes (hydrolases, laccase, etc.) engaged in polymer degradation. Further, the extraction of the core microbial population and their adaptation, fitness, and survivability can also be deciphered through comparative metagenomic study. It will help to engineer the microbial community and their metabolic activity to speed up the degradation process.
Indexed as
Identifiers
What OpenQuestion holds
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.