دورية أكاديمية

Detecting SARS-CoV-2 lineages and mutational load in municipal wastewater and a use-case in the metropolitan area of Thessaloniki, Greece

التفاصيل البيبلوغرافية
العنوان: Detecting SARS-CoV-2 lineages and mutational load in municipal wastewater and a use-case in the metropolitan area of Thessaloniki, Greece
المؤلفون: Nikolaos Pechlivanis, Maria Tsagiopoulou, Maria Christina Maniou, Anastasis Togkousidis, Evangelia Mouchtaropoulou, Taxiarchis Chassalevris, Serafeim C. Chaintoutis, Maria Petala, Margaritis Kostoglou, Thodoris Karapantsios, Stamatia Laidou, Elisavet Vlachonikola, Anastasia Chatzidimitriou, Agis Papadopoulos, Nikolaos Papaioannou, Chrysostomos I. Dovas, Anagnostis Argiriou, Fotis Psomopoulos
المصدر: Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
بيانات النشر: Nature Portfolio, 2022.
سنة النشر: 2022
المجموعة: LCC:Medicine
LCC:Science
مصطلحات موضوعية: Medicine, Science
الوصف: Abstract The COVID-19 pandemic represents an unprecedented global crisis necessitating novel approaches for, amongst others, early detection of emerging variants relating to the evolution and spread of the virus. Recently, the detection of SARS-CoV-2 RNA in wastewater has emerged as a useful tool to monitor the prevalence of the virus in the community. Here, we propose a novel methodology, called lineagespot, for the monitoring of mutations and the detection of SARS-CoV-2 lineages in wastewater samples using next-generation sequencing (NGS). Our proposed method was tested and evaluated using NGS data produced by the sequencing of 14 wastewater samples from the municipality of Thessaloniki, Greece, covering a 6-month period. The results showed the presence of SARS-CoV-2 variants in wastewater data. lineagespot was able to record the evolution and rapid domination of the Alpha variant (B.1.1.7) in the community, and allowed the correlation between the mutations evident through our approach and the mutations observed in patients from the same area and time periods. lineagespot is an open-source tool, implemented in R, and is freely available on GitHub and registered on bio.tools.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2045-2322
Relation: https://doaj.org/toc/2045-2322
DOI: 10.1038/s41598-022-06625-6
URL الوصول: https://doaj.org/article/44f9ba2888254e8895d5bfea2d166531
رقم الأكسشن: edsdoj.44f9ba2888254e8895d5bfea2d166531
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20452322
DOI:10.1038/s41598-022-06625-6