Revealing microbial functionalities and ecological roles in Rajpardi lignite mine: insights from metagenomics analysis

The present study employs a metagenomics approach to evaluate microbial communities' ecological functions and potential within the Rajpardi lignite mine of Gujarat, India. Through whole genome shotgun sequencing on the Illumina Miseq platform, we obtained 10 071 318 sequences, which unveiled a diverse and abundant microbial community primarily composed of Proteobacteria, Acidobacteria, and Nitrospirae. Comprehensive taxonomic profiling and gene prediction was carried out using the SqueezeMeta pipline, which highlighted significant contributions to carbohydrate, amino acid, and energy metabolism. The detection of antimicrobial resistance and stress resistance genes, such as blaTEM and merA, suggests that these microbes possess the ability to adapt to harsh environmental conditions. Genome binning revealed species such as Acidiphilum sp. 20-67-58, emphasizing the nature of these communities as they adapted to an acidic environment. This finding highlights the crucial role of microbes in biogeochemical cycles, emphasizing their potential in bioremediation, pollutant degradation, and ecosystem restoration.