Volodymyr P Tryndyak, Tetyana Kudlyk, Patricia Shores, Michelle M Vanlandingham, Lisa Mullis, Luísa Camacho, Marli Azevedo, Camila S Silva
{"title":"Wastewater dataset on the SARS-CoV-2 sublineages circulating in Central Arkansas, USA, post-COVID-19 pandemic.","authors":"Volodymyr P Tryndyak, Tetyana Kudlyk, Patricia Shores, Michelle M Vanlandingham, Lisa Mullis, Luísa Camacho, Marli Azevedo, Camila S Silva","doi":"10.1038/s41597-025-05100-x","DOIUrl":null,"url":null,"abstract":"<p><p>The ability of coronaviruses to adapt to new hosts and cause widespread disease outbreaks poses a significant threat to global public health systems and economies. The severity of the COVID-19 pandemic has emphasized the importance of studying coronaviruses and monitoring them in communities. We investigated SARS-CoV-2 and its genomic changes in wastewater influent sampled from two metropolitan areas in Arkansas, USA, between April 2020 and March 2024. The data presented here are a follow up report to our previous publication on the findings from the period of April 2020 to January 2022 and show the SARS-CoV-2 variants circulating between February 2022 and March 2024. The levels of viral RNA were measured by reverse-transcription quantitative polymerase chain reaction and targeted three SARS-CoV-2 genes (encoding ORF1ab polyprotein, ORF1ab; surface glycoprotein, S-protein; and nucleocapsid phosphoprotein, N-protein). The identity and genetic diversity of the virus were investigated using amplicon-based RNA sequencing. These data provide important information on SARS-CoV-2 evolution and help to understand the occurrence of COVID-19 outbreaks in the community.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"934"},"PeriodicalIF":5.8000,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Data","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41597-025-05100-x","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The ability of coronaviruses to adapt to new hosts and cause widespread disease outbreaks poses a significant threat to global public health systems and economies. The severity of the COVID-19 pandemic has emphasized the importance of studying coronaviruses and monitoring them in communities. We investigated SARS-CoV-2 and its genomic changes in wastewater influent sampled from two metropolitan areas in Arkansas, USA, between April 2020 and March 2024. The data presented here are a follow up report to our previous publication on the findings from the period of April 2020 to January 2022 and show the SARS-CoV-2 variants circulating between February 2022 and March 2024. The levels of viral RNA were measured by reverse-transcription quantitative polymerase chain reaction and targeted three SARS-CoV-2 genes (encoding ORF1ab polyprotein, ORF1ab; surface glycoprotein, S-protein; and nucleocapsid phosphoprotein, N-protein). The identity and genetic diversity of the virus were investigated using amplicon-based RNA sequencing. These data provide important information on SARS-CoV-2 evolution and help to understand the occurrence of COVID-19 outbreaks in the community.
期刊介绍:
Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data.
The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.