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RNA-Seq Virus Fraction in Lake Baikal and Treated Wastewaters.

Sergey Anatoljevich PotapovAnna GorshkovaAndrey Yurjevich KrasnopeevGalina Vladimirovna PodlesnayaIrina Vasiljevna TikhonovaMaria SuslovaDmitry KwonMaxim PatrushevValentin DruckerOlga Ivanovna Belykh
Published in: International journal of molecular sciences (2023)
In this study, we analyzed the transcriptomes of RNA and DNA viruses from the oligotrophic water of Lake Baikal and the effluent from wastewater treatment plants (WWTPs) discharged into the lake from the towns of Severobaikalsk and Slyudyanka located on the lake shores. Given the uniqueness and importance of Lake Baikal, the issues of biodiversity conservation and the monitoring of potential virological hazards to hydrobionts and humans are important. Wastewater treatment plants discharge treated effluent directly into the lake. In this context, the identification and monitoring of allochthonous microorganisms entering the lake play an important role. Using high-throughput sequencing methods, we found that dsDNA-containing viruses of the class Caudoviricetes were the most abundant in all samples, while Leviviricetes (ssRNA(+) viruses) dominated the treated water samples. RNA viruses of the families Nodaviridae , Tombusviridae , Dicitroviridae , Picobirnaviridae , Botourmiaviridae , Marnaviridae , Solemoviridae , and Endornavirida were found in the pelagic zone of three lake basins. Complete or nearly complete genomes of RNA viruses belonging to such families as Dicistroviridae , Marnaviridae , Blumeviridae , Virgaviridae , Solspiviridae , Nodaviridae , and Fiersviridae and the unassigned genus Chimpavirus, as well as unclassified picorna-like viruses, were identified. In general, the data of sanitary/microbiological and genetic analyses showed that WWTPs inadequately purify the discharged water, but, at the same time, we did not observe viruses pathogenic to humans in the pelagic zone of the lake.
Keyphrases
  • wastewater treatment
  • water quality
  • rna seq
  • antibiotic resistance genes
  • single cell
  • hiv infected
  • circulating tumor
  • big data
  • single molecule
  • high throughput sequencing