Rojas Martha Virginia R, Alonso Diego Peres, Dropa Milena, Razzolini Maria Tereza P, de Carvalho Dario Pires, Ribeiro Kaio Augusto Nabas, Ribolla Paulo Eduardo M, Sallum Maria Anice M
Departamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo 01246-904, Brazil.
FUNDUNESP-Fundação para o Desenvolvimento da UNESP, São Paulo 01009-906, Brazil.
Microorganisms. 2022 Jul 11;10(7):1398. doi: 10.3390/microorganisms10071398.
The quality of aquatic ecosystems is a major public health concern. The assessment and management of a freshwater system and the ecological monitoring of microorganisms that are present in it can provide indicators of the environment and water quality to protect human and animal health. with bacteria is. It is a major challenge to monitor the microbiological bacterial contamination status of surface water associated with anthropogenic activities within rivers and freshwater reservoirs. Understanding the composition of aquatic microbial communities can be beneficial for the early detection of pathogens, improving our knowledge of their ecological niches, and characterizing the assemblages of microbiota responsible for the degradation of contaminants and microbial substrates. The present study aimed to characterize the bacterial microbiota of water samples collected alongside the Madeira River and its small tributaries in rural areas near the Santo Antonio Energia hydroelectric power plant (SAE) reservoir in the municipality of Porto Velho, Rondonia state, Western Brazil. An Illumina 16s rRNA metagenomic approach was employed and the physicochemical characteristics of the water sample were assessed. We hypothesized that both water metagenomics and physicochemical parameters would vary across sampling sites. The most abundant genera found in the study were , , and . PERMANOVA and ANCOM analysis revealed that collection points sampled at the G4 location presented a significantly different microbiome compared to any other group, with the family and genus being significantly more abundant. Our findings support the use of metagenomics to assess water quality standards for the protection of human and animal health in this microgeographic region.
水生生态系统的质量是一个主要的公共卫生问题。对淡水系统的评估和管理以及对其中存在的微生物进行生态监测，可以提供环境和水质指标，以保护人类和动物健康。与细菌有关。监测与河流和淡水水库内人为活动相关的地表水微生物细菌污染状况是一项重大挑战。了解水生微生物群落的组成有助于早期检测病原体，增进我们对其生态位的认识，并表征负责污染物和微生物底物降解的微生物群组合。本研究旨在表征在巴西西部朗多尼亚州韦柳港市圣安东尼奥能源水电站（SAE）水库附近农村地区沿马德拉河及其小支流采集的水样中的细菌微生物群。采用了Illumina 16s rRNA宏基因组学方法，并评估了水样的理化特性。我们假设水样宏基因组学和理化参数在不同采样点会有所不同。研究中发现的最丰富的属是 、 和 。PERMANOVA和ANCOM分析表明，在G4位置采集的样本点与其他任何组相比，微生物组存在显著差异， 科和 属的丰度明显更高。我们的研究结果支持使用宏基因组学来评估该微观地理区域保护人类和动物健康的水质标准。
