Wastewater treatment plants (WWTPs) are pivotal for environmental protection and public health, yet the ecological dynamics of microbial communities during treatment remain poorly characterized in arid, resource-limited areas. This study presents high-resolution 16S rRNA V3–V4 amplicon sequencing and predictive metagenomics to survey bacterial populations in influent and effluent samples from five major Egyptian WWTPs. Results revealed a dramatic increase in microbial richness and evenness post-treatment, with pronounced taxonomic restructuring: copiotrophic Proteobacteria, dominant in influent streams, declined sharply, while stress-tolerant lineages including Actinobacteriota, Firmicutes, and Bacteroidota emerged in effluents. Multivariate analyses (DCA, NMDS, PCoA) confirmed consistent, significant compositional turnovers, with statistically robust separation between input and output communities. Although community diversity and functional metabolic capacity expanded, several clinically relevant genera—Escherichia, Legionella, and Campylobacter—persisted in effluents at non-trivial levels, raising concerns for water reuse safety. Functional profiling highlighted increased metabolic versatility and resilience in treated microbiomes, particularly enrichment in nutrient cycling, xenobiotic degradation, and stress adaptation pathways. Community trajectories were strongly influenced by site-specific physicochemical factors, underscoring the need for tailored surveillance and optimized operation. Comparative analyses reinforced the universality of Proteobacteria dominance in raw sewage and demonstrated widespread post-treatment diversification, yet also revealed local variability shaped by plant design and regional characteristics. Together, these findings detail the molecular ecology underpinning wastewater treatment, identify persistent hazards, and advocate for region-specific monitoring and intervention strategies aligned with sustainable water reuse and One Health imperatives.
Atalla et al. (Tue,) studied this question.