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We performed a metagenomic analysis of the raw wastewater, activated sludge and treated wastewater from two large WWTPs responsible for the treatment of urban wastewater in Moscow, Russia. In untreated wastewater, several hundred ARGs that could confer resistance to most commonly used classes of antibiotics were found. WWTPs employed a nitrification\/denitrification or an anaerobic\/anoxic\/oxic process and enabled efficient removal of organic matter, nitrogen and phosphorus, as well as fecal microbiota. The resistome constituted about 0.05% of the whole metagenome, and after water treatment its share decreased by 3\u20134 times. The resistomes were dominated by ARGs encoding resistance to beta-lactams, macrolides, aminoglycosides, tetracyclines, quaternary ammonium compounds, and sulfonamides. ARGs for macrolides and tetracyclines were removed more efficiently than beta-lactamases, especially <jats:italic>ampC<\/jats:italic>, the most abundant ARG in the treated effluent. The removal efficiency of particular ARGs was impacted by the treatment technology. Metagenome-assembled genomes of multidrug-resistant strains were assembled both for the influent and the treated effluent. Ccomparison of resistomes from WWTPs in Moscow and around the world suggested that the abundance and content of ARGs depend on social, economic, medical, and environmental factors.<\/jats:p>","DOI":"10.1038\/s41598-024-56870-0","type":"journal-article","created":{"date-parts":[[2024,3,15]],"date-time":"2024-03-15T23:15:30Z","timestamp":1710544530000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["Metagenomic insights into the wastewater resistome before and after purification at large\u2011scale wastewater treatment plants in the Moscow city"],"prefix":"10.1038","volume":"14","author":[{"given":"Shahjahon","family":"Begmatov","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexey V.","family":"Beletsky","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander G.","family":"Dorofeev","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nikolai V.","family":"Pimenov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrey V.","family":"Mardanov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nikolai V.","family":"Ravin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,3,15]]},"reference":[{"key":"56870_CR1","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/S1473-3099(18)30605-4","volume":"19","author":"A Cassini","year":"2019","unstructured":"Cassini, A. et al. 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