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RESUMO A recente detecção de material genético (RNA) do novo coronavírus em amostras de fezes e no esgoto aponta para a possibilidade de se identificar a circulação do vírus e até mesmo estimar o número de pessoas infectadas em determinada região pelo monitoramento sistemático do esgoto, configurando-se em importante ferramenta epidemiológica de testagem massiva indireta, incluindo portadores sintomáticos e assintomáticos. Nesse sentido, concebeu-se um projeto para a detecção e a quantificação do novo coronavírus em amostras de esgoto coletadas em 15 sub-bacias de esgotamento sanitário dos ribeirões Arrudas e Onça, visando entender a dinâmica de circulação e a prevalência do vírus nas regiões investigadas. Tais sub-bacias esgotam os efluentes gerados por uma população da ordem de 1,5 milhão de pessoas no município de Belo Horizonte e parte de Contagem. O plano de amostragem contemplou 17 pontos (15 sub-bacias + afluente às 2 estações de tratamento de esgoto) de monitoramento semanal, com coletas compostas durante todo o período da manhã. A detecção e a quantificação do RNA viral efetuaram-se em laboratório por meio de ensaios de RT-qPCR. Os resultados obtidos em quatro semanas de monitoramento (semanas epidemiológicas 21 a 24) mostraram um incremento da ocorrência do vírus, atingindo 100% das regiões investigadas na semana epidemiológica 24. A estimativa da população infectada pelo novo coronavírus pelo monitoramento do esgoto em Belo Horizonte apresentou tendência de crescimento exponencial, sendo até 20 vezes maior do que o número de casos confirmados acumulados. Quanto à circulação do vírus, as concentrações do RNA viral têm se mostrado bastante variáveis nas regiões monitoradas, com maiores porcentagens de população infectada estimada ao norte e nordeste da capital mineira. ABSTRACT The recent detection of SARS-CoV-2 RNA in stool and sewage samples highlights the possibility of mapping the circulation of the virus and even estimating the number of infected people through the systematic monitoring of sewage in a specific region. Therefore, this is an important epidemiological tool for large-scale indirect testing, including symptomatic and asymptomatic carriers. This project was conceived for the detection and quantification of the SARS-CoV-2 in sewage samples collected in 15 watersheds of the Arrudas and Onça streams, aiming to understand the dynamics of spread and the prevalence of the virus in these regions/watersheds. These sub-basins exhaust the effluents generated by a population of approximately 1.5 million people in the municipality of Belo Horizonte and part of Contagem. Weekly composite samples were collected during the morning periods in seventeen monitoring points (15 water sheds + influent to 2 sewage treatment plants). RNA detection and quantification were performed in the laboratory using RT-qPCR. The results obtained in four weeks of monitoring (epidemiological weeks 21 to 24) showed an increase in the occurrence of the virus, reaching 100% of the monitored regions investigated in epidemiological week 24. The infected population, estimated by sewage monitoring in Belo Horizonte, showed exponential growth, being up to 20 times higher than those of accumulated confirmed cases. As for the dynamics of virus spread, RNA concentrations have shown to be quite variable in the monitored regions with higher percentages of the estimated infected population in the northern and north-eastern portions of Belo Horizonte.

In the version of this Article originally published, the name of the author 'Mathew Robert Brown' was incorrectly written as 'Mathew Brown' in the main author list and as 'Matthew Brown' in the Global Water Microbiome Consortium list. In addition, in the Global Water Microbiome Consortium list, the names of the authors 'Kevin F. Boehnke', 'Janeth Sanabria' and 'Adalberto Noyola' were incorrectly written as 'Kevin Boehnke', 'Janeth Sanabria Gómez' and 'Adalberto Noyola Robles', respectively. The names have now been corrected and the author initials in the author contributions section updated accordingly.

International audience; Microorganisms in wastewater treatment plants (WWTPs) are essential for water purification to protect public and environmental health. However, the diversity of microorganisms and the factors that control it are poorly understood. Using a systematic global-sampling effort, we analysed the 16S ribosomal RNA gene sequences from ~1,200 activated sludge samples taken from 269 WWTPs in 23 countries on 6 continents. Our analyses revealed that the global activated sludge bacterial communities contain ~1 billion bacterial phylotypes with a Poisson lognormal diversity distribution. Despite this high diversity, activated sludge has a small, global core bacterial community (n = 28 operational taxonomic units) that is strongly linked to activated sludge performance. Meta-analyses with global datasets associate the activated sludge microbiomes most closely to freshwater populations. In contrast to macroorganism diversity, activated sludge bacterial communities show no latitudinal gradient. Furthermore, their spatial turnover is scale-dependent and appears to be largely driven by stochastic processes (dispersal and drift), although deterministic factors (temperature and organic input) are also important. Our findings enhance our mechanistic understanding of the global diversity and biogeography of activated sludge bacterial communities within a theoretical ecology framework and have important implications for microbial ecology and wastewater treatment processes.