Next generation high throughput sequencing to evaluate bacterial communities in freshwater ecosystem of hydroelectric reservoirs

The quality of aquatic ecosystems is of major public health concern. The assessment and management of a freshwater system can employ the ecological monitoring of the microorganisms present in it as indicators of both the environment and the water quality standard for protection of human and animal health. It is well known that the microbiological contamination with bacteria associated to anthropogenic activities is one of the major challenges for monitoring of the surface water status within rivers and freshwater reservoirs. Therefore, understanding the composition of aquatic microbial communities can be beneficial to early detection of pathogens, improving our knowledge on their ecological niches, and characterizing the assemblages of microbiota responsible for degradation of contaminants and microbial substrates. The present study aimed to characterize the bacterial microbiota of water samples collected alongside the Madeira River in rural areas in the vicinity of the Santo Antonio Energia (SAE) reservoir in the municipality of Porto Velho, Rondonia state, Western Brazil. A metagenomic approach was employed using Illumina NGS of the V4 region of the 16s rRNA, and physicochemical characteristics of the water sampled.

水生生态系统质量是公共卫生领域的重大关切议题。淡水生态系统的评估与管理，可将其中存在的微生物作为环境与水质标准的生态监测指标，以此保护人类与动物健康。众所周知，与人类活动相关的细菌引发的微生物污染，是河流及淡水水库地表水状况监测面临的主要挑战之一。因此，解析水生微生物群落的组成，有助于早期检测病原体，加深我们对其生态位的认知，并明确负责降解污染物与微生物基质的微生物群落结构。本研究旨在对巴西西部朗多尼亚州波尔图韦柳市圣安东尼奥能源（Santo Antonio Energia，SAE）水库周边乡村区域的马代拉河沿岸采集的水样的细菌微生物群落进行特征解析。本研究采用宏基因组学方法，对16S rRNA的V4区域开展Illumina NGS测序，并对所采集水样的理化特征进行分析。