Quantitative SARS-CoV-2 alpha variant B.1.1.7 tracking in wastewater by allele-specific RT-qPCR

• Main Authors: Lee, Wei Lin, Imakaev, Maxim, Armas, Federica, McElroy, Kyle A., Gu, Xiaoqiong, Duvallet, Claire, Chandra, Franciscus, Chen, Hongjie, Leifels, Mats, Mendola, Samuel, Floyd-O'Sullivan, Róisín, Powell, Morgan M., Wilson, Shane T., Berge, Karl L. J., Lim, Claire Y. J., Wu, Fuqing, Xiao, Amy, Moniz, Katya, Ghaeli, Newsha, Matus, Mariana, Thompson, Janelle R., Alm, Eric J.
• Other Authors: Asian School of the Environment
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Environmental engineering; DNA; Amplification
• Online Access: https://hdl.handle.net/10356/159844
• Institution: Nanyang Technological University

The critical need for surveillance of SARS-CoV-2 variants of concern has prompted the development of methods that can track variants in wastewater. Here, we develop and present an open-source method based on allele-specific RT-qPCR (AS RT-qPCR) that detects and quantifies the B.1.1.7 variant, target...