Drinking water safety has always attracted the attention of the whole society, and more and more new technologies have been applied to related research in recent years. Macrogenomic technologies are based on next-generation high-throughput sequencing (NGS) to detect the genome sequences of microbial communities in a specific environment, to characterize the community structure, superior/inferior populations, and to further explore the functions of different microbial populations, the relationships between different populations, and the relationships between populations and the environment through the genome sequence information of community microorganisms.This study sampled water supply reservoirs across seasons from October 2020 to January 2021. The researchers took two samples, mud (S=9) and water (W=17), at two sampling sites – in the reservoir (KZ) and at the water intake (QSK) – and obtained a total of 26 samples. Subsequently, these 26 samples were sent to GeneMind for macro-genome sequencing and correlation analysis using the GenoLab M platform.
To sum up, seasonal changes and sampling location did not have major effects on the composition of microorganisms in the Reservoir; however, sample origin (water vs. sediment) had a substantial effect on the composition of microorganisms. The study also showed that the trophic level index (TLI) was the major factor affecting the microbial community in water samples. The results of this study enhance our understanding of the effects of environmental factors on microbiomes. In conclusion, research on the properties, including profiles of algal toxin-encoding genes and ARGs, and microbial communities can aid water quality monitoring and conservation.
