High-throughput sequencing as a tool for monitoring prokaryote communities in a wastewater treatment plant
Autor: | Raquel Ríos-Castro, Adrián Cabo, Eva Teira, Claudio Cameselle, Susana Gouveia, Pedro Payo, Beatriz Novoa, Antonio Figueras |
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Přispěvatelé: | Ministerio de Ciencia e Innovación (España), Conferencia de Rectores de las Universidades Españolas, European Commission |
Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: | |
Popis: | 14 pages, 3 tables, 7 figures.-- Under a Creative Commons license In this study, the DNA metabarcoding technique was used to explore the prokaryote diversity and community structure in wastewater collected in spring and winter 2020–2021 as well as the efficiency of the treatment in a wastewater treatment plant (WWTP) in Ría de Vigo (NW Spain). The samplings included raw wastewater from the inlet stream (M1), the discharge water after the disinfection treatment (M3) and mussels used as bioindicators of possible contamination of the marine environment. Significant differences were discovered in the microbiome of each type of sample (M1, M3 and mussels), with 92 %, 45 % and 44 % of exclusive OTUs found in mussel, M3 and M1 samples respectively. Seasonal differences were also detected in wastewater samples, with which abiotic parameters (temperature, pH) could be strongly involved. Bacteria present in raw wastewater (M1) were associated with the human gut microbiome, and therefore, potential pathogens that could be circulating in the population in specific periods were detected (e.g., Arcobacter sp. and Clostridium sp.). A considerable decrease in putative pathogenic organisms from the M1 to M3 wastewater fractions and the scarce presence in mussels ( This work was supported by the Ministerio de Ciencia e Innovación [PID2021-124955OB-I00], Fondo Supera COVID of the CRUE (Spanish Universities)-Santander Foundation [project DIMCoVAR] and the EU-H2020 “CIRCLES” [818290] |
Databáze: | OpenAIRE |
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