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Published on: September 13, 2022
Microbiome of soil waste dumpsite and adjacent river habitat harbors dynamic plastic degrading bacterial diversity
Saurabh Singh1, Abhay Bajaj1, Natesan Manickam1
1Environmental Biotechnology Laboratory, Environmental Toxicology Group, FEST Division, CSIR-Indian Institute of Toxicology Research, Vishvigyan Bhawan, 31 Mahatma Gandhi Marg, Lucknow, 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, Uttar Pradesh, India.
Abstract:
Landfill leachates and adjacent riverine ecosystems are usually the reservoirs of plastic-derived contaminants and other xenobiotics. Yet these sites are still less explored for their degradation potential. This study employed a whole metagenome analysis to characterize microbial communities and functional genes from the Ghaila municipal dumpsite and the Gomti river, Lucknow, India. Physicochemical analyses revealed neutral to slightly alkaline pH and elevated BOD and COD in downstream river sites, indicating high organic and plastic-associated pollutant loads. Taxonomic profiling identified 57 phyla, dominated by Proteobacteria, Bacteroidetes, Chloroflexi, and Firmicutes, with occurrence of key genera such as Pseudomonas, Acinetobacter, Flavobacterium, and Sphingomonas in abundance. Functional annotation of the metagenomic sequences detected 31 enzymes targeting 24 polymeric substances, including PETase, MHETase, urethanases, laccases, and nylon hydrolases in both dumpsite leachate and sludge (p < 0.05) samples. Antibiotic resistance genes (ARGs) and metal resistance genes (MRGs) were widely distributed, particularly in leachate and sludge, underscoring their role as resistance reservoirs. These findings demonstrate that municipal dumpsite ecosystems are hotspots for plastic and xenobiotic degradation, highlighting their potential as genetic resources for bioremediation and advancing understanding of contaminant-driven microbial adaptation at landfill-river interfaces. NUCLEOTIDE SEQUENCE ACCESSION NUMBER: The complete metagenome sequence has been deposited at NCBI GenBank having accession no: SAMN42678420 to SAMN42678429 (BioProject).
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