Institutional Repository in Medical Sciences
(IRMS – Nicolae Testemițanu SUMPh)

Monitoring the spread of SARS-CoV-2 via wastewater genome sequencing

Show simple item record

dc.contributor.author Colac, Svetlana
dc.date.accessioned 2025-12-09T11:12:42Z
dc.date.available 2025-12-09T11:12:42Z
dc.date.issued 2025
dc.identifier.citation COLAC, Svetlana. Monitoring the spread of SARS-CoV-2 via wastewater genome sequencing. In: Abordarea o singură sănătate pentru securitatea sănătăţii globale. Conferinţa naţională cu participare internaţională. Ediţia a 3-a, 20-21 noiembrie 2025, Chişinău. Culegere de rezumate/ colegiul de redacţie: Serghei Cebanu [et al.]. Chişinău, 2025, p. 18. ISBN 978-5-85748-245-2. ISBN 978-5-85748-246-9 (PDF). en_US
dc.identifier.isbn 978-5-85748-245-2
dc.identifier.isbn 978-5-85748-246-9 (PDF)
dc.identifier.uri https://repository.usmf.md/handle/20.500.12710/32440
dc.description.abstract Introduction. Studying the genetic SARS-CoV-2 makeup and tracking its mutations are essential for understanding the course of the pandemic and preparing effective responses to public health threats. Wastewater-based surveillance, followed by genome sequencing, has emerged as a valuable tool for generating evidence to inform public health decisions. In densely populated areas, wastewater monitoring provides an efficient approach to studying both the epidemiology and genomic diversity of the virus, thus supporting the development of targeted strategies and reinforcing efforts to prevent future outbreaks. Since SARS-CoV- 2 can spread before the onset of symptoms, this method offers a significant advantage by allowing early detection and the ability to predict potential future outbreaks. Purpose of the study. The study aimed to monitor wastewater-based genomic surveillance, as well as to identify circulating SARS-CoV-2 variants, thereby improving both epidemiological tracking and public health emergency response. Material and methods. A retrospective descriptive study was conducted at the National Public Health Agency's reference laboratory for genomic sequencing. The study analyzed a total of 24 samples, including 23 wastewater samples collected from the Chișinău wastewater treatment plant between September and November 2024, as well as a single biological sample from a confirmed COVID-19 patient being included as a positive control. Genetic sequencing was performed on the Illumina MiSeq platform to identify genetic variants and mutation types. The resulting data were analyzed using bioinformatics software. Results. Analysis of SARS-CoV-2 isolates from wastewater revealed 32 genetic lineages based on the Pango classification system. The variants B.1.177.66, B.1.1.243, B.1.160.32, and B.1.1.305 were the most prevalent. Further analysis showed that the B.1.177.66 sulineage was dominant across multiple samples, suggesting its widespread circulation in Chișinău. Conclusions. This study emphasizes the importance of using wastewater-based wholegenome sequencing to characterize the diversity of circulating SARS-CoV-2 strains in the studied community. This approach could serve as a valuable supplement to traditional epidemiological surveillance tool or be used in situations when sequencing human biospecimens is not feasible. en_US
dc.language.iso en en_US
dc.publisher Universitatea de Stat de Medicină şi Farmacie "Nicolae Testemiţanu", ANSP: Agenţia Naţională pentru Sănătate Publică, Asociaţia de Biosiguranţă şi Biosecuritate din Republica Moldova en_US
dc.relation.ispartof "Abordarea O Singură Sănătate pentru Securitatea Sănătăţii Globale". Conferinţa naţională cu participare internaţională. Ediţia a 3-a, 20-21 noiembrie 2025, Chişinău. Culegere de rezumate en_US
dc.subject COVID-19 en_US
dc.subject SARS-CoV-2 en_US
dc.subject sequencing en_US
dc.subject genome en_US
dc.subject wastewater en_US
dc.subject.ddc UDC: [578.834.1:578.52]:628.312/.313 en_US
dc.title Monitoring the spread of SARS-CoV-2 via wastewater genome sequencing en_US
dc.type Other en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account

Statistics