Microbial Diversity in Landfills through Metagenomics Profiling: A Review

Microbial communities are play a crucial role in the breakdown of organic waste, the production of biogas, and the reduction of environmental impact at landfills, which are complex ecosystems more than just places to dispose of waste. This study provides a comprehensive overview of the current knowledge of microbial diversity in landfills based on metagenomics studies. Metagenomics studies show that various microorganisms, including bacteria, archaea, and fungi, are found in landfills and interact to break down waste. Environmental factors such as pH, temperature, and waste composition impact these microbial communities. This review investigate how landfill age, waste composition, and operational methods impact microbial communities. Important microbial group functions in the waste breakdown, greenhouse gas emission, and soil leachate composition are also highlighted in this paper. The review examine how technologies, such as bioinformatics tools and high-throughput sequencing, enhance our knowledge of the landfill microbiome. Through metagenomics, researchers can identify the microbial genes responsible for important activities, including pollution bioremediation, production of methane, and organic matter breakdown. High-throughput sequencing methods such as 16S rRNA sequencing and shotgun metagenomics have improved the current understanding of landfill microbiomes by identifying new microbes with specialized metabolic roles. Identifying the plastic-degrading microbes and their enzymes is an emerging area of interest with potential for that may help develop biotechnological solutions to landfill plastic pollution. Metagenomics provides the opportunity to develop sustainable landfill management techniques and microbial-based waste treatment methods by identifying these microbial processes. This review emphasis the need of using the microbial processes for a better waste management and the significance of metagenomics in optimising landfill operations.