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Metagenomic Exploration of Plastic Degrading Microbes for Biotechnological Application.

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TLDR
In this paper, a metagenomic analysis of microbial population engaged in the plastic biodegradation is recommended to decipher the microbial community structure and to predict their biode degradation potential in situ.
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.

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Enzymatic recycling of polyethylene terephthalate through the lens of proprietary processes

TL;DR: In this paper , a review of the patentable biological recycling processes concerning the recycling of PET is presented, which is the most abundant thermoplastic of the polyester family and accounts for approximately 10% of all synthetic plastics on the market.
Journal ArticleDOI

Insights into microbial diversity on plastisphere by multi-omics

TL;DR: The following review summarizes the efficiency of metagenomics and next generation sequencing technology over conventionally used methods for culturing microbes and importance of integrated multi-omics techniques has been highlighted in discovering microbial ecology residing on plastisphere for wider applications.
Journal ArticleDOI

Assembly strategies for polyethylene-degrading microbial consortia based on the combination of omics tools and the “Plastisphere”

TL;DR: In this paper , a combination of top-down and bottom-up approaches is proposed to identify the mechanisms and metabolites of polyethylene degradation, related enzymes, and efficient synthetic microbial consortia.
Journal ArticleDOI

Time-course biofilm formation and presence of antibiotic resistance genes on everyday plastic items deployed in river waters.

TL;DR: In this article , the evolution of the eukaryotic and bacterial communities colonizing four everyday plastic items deployed in two sites of the same river with different anthropogenic impact was investigated.
References
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Journal ArticleDOI

Production, use, and fate of all plastics ever made

TL;DR: By identifying and synthesizing dispersed data on production, use, and end-of-life management of polymer resins, synthetic fibers, and additives, this work presents the first global analysis of all mass-produced plastics ever manufactured.
Journal ArticleDOI

Plastic waste inputs from land into the ocean

TL;DR: This work combines available data on solid waste with a model that uses population density and economic status to estimate the amount of land-based plastic waste entering the ocean, which is estimated to be 275 million metric tons.
Journal ArticleDOI

Impact of Culture-Independent Studies on the Emerging Phylogenetic View of Bacterial Diversity

TL;DR: The authors' perspective on microbial diversity has improved enormously over the past few decades in large part due to molecular phylogenetic studies that objectively relate organisms.
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