Abstract

Textile industries play an important role in uplifting the national economies worldwide. Nevertheless, they generate a huge amount of intensive colored effluent, which is a serious threat to the environment. The microbial communities present in these highly polluted environmental sites help in remediating pollutants naturally. However, little is known about their genes and enzymes in the textile wastewater systems. In this study, we explored the microbial community structure and their functional capability in three different wastewater systems, i.e., industry sites, effluent treatment plant (ETP), and common effluent treatment plant (CETP). Our findings based on shotgun metagenomics highlight the varied bacterial diversity at the three industry sites. Overall, the major dominant phyla in the industry site and CETP samples were Proteobacteria and Bacteroidetes, while in the ETP site, Firmicutes, Cyanobacteria, and Proteobacteria were predominant. The final discharge sample site was having a higher proportion of the Proteobacteria and Bacteroidetes. Aeromonas caviae, Desulfovibrio desulfuricans, Klebsiella pneumoniae, Pseudomonas stutzeri, Shewanella decolorationis, Shewanella oneidensis, Shewanella putrefaciens, and Vibrio cholera were the abundant species across the three sites. Furthermore, this research study identified the key microbial genes encoding enzymes having a known role in textile dye and aromatic compound degradation. Functional annotation of the shotgun metagenome samples indicates the presence of reductase, azoreductase, nitrate/nitrite reductase, and oxidoreductase enzyme encoding genes. Our findings provide the shotgun metagenomics-based approach for mining the textile dye degrading genes and genomic insights into the bioremediation of textile industrial effluent.

Highlights

  • The environmental pollution and toxic substances produced by the industrial manufacturing process are major challenges faced worldwide

  • Bacterial richness (Shannon’s H index) was highest for the final discharge sample (CETP_Final_Discharge), while lower microbial communities were observed in the textile industry sample (IND_B)

  • Bacterial richness (Shannon’s H index) was highest for CETP_Final_Discharge, while lower microbial communities were observed in the textile industry sample (IND_B)

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Summary

Introduction

The environmental pollution and toxic substances produced by the industrial manufacturing process are major challenges faced worldwide. Azo dyes are the largest class of synthetic dyes, which are characterized by the presence of azo (-N N-) groups in their structure (Verma et al, 2012; Yaseen and Scholz, 2019). These chemical dyes are toxic and highly persistent in the environment and their metabolic products are mutagenic and carcinogenic in nature (Xu et al, 2007). Investigating the complex dynamics of microbial diversity and community structure of the textile wastewater treatment sites can provide crucial information regarding novel molecular pathways, biosynthetic gene clusters (BGCs), and textile dye degrading genes encoding enzymes

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