Textile industry wastewater microbiome: Recovery of metagenome assembled genomes (MAGs) using shotgun sequencing approach from Jetpur, Gujarat, India

The microorganisms in textile industry effluent represent dynamic and complex community structure and functional diversity. Genome resolved identification and characterisation of the metagenome-assembled genomes (MAGs) using shotgun metagenomics is a powerful approach to understand the genomic attributes of microbial communities from the industrial wastewater and effluent treatment process. Our research findings decipher the MAGs obtained from textile industry sites from common effluent treatment plant (CETP), effluent treatment plant (ETP), dye washing and printing area from Jetpur, Gujarat, India. Overall, sixty-one MAGs were obtained from nine shotgun metagenome samples using improved variational autoencoders for metagenomic binning (VAMB) machine learning based approach. The MAGs obtained were represented by Saccharospirillaceae bacterium S5C81, Sulfurospirillum cavolei S2C617, Desertifilum sp. S8C857, Shewanella xiamenensis S2C505, Saccharospirillaceae bacterium S4C81, and Bacillaceae bacterium S6C1905 having completeness of >95% and contamination <1%. The functional annotation of the MAGs revealed the abundance of the genes involved in biogeochemical cycling process, methane metabolism, biofilm formation, and textile dye degradation, metabolism of xenobiotics by cytochrome P450 pathway and metabolism of aromatic compounds. The MAGs will further facilitate the understanding of textile industry wastewater microbiome, ecology and adaption, genomic characteristics and impact of pollution from textile industry. Furthermore, promising microorganisms could be utilized for bioremediation of polluted industrial sites.