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Direct comparison of RT-ddPCR and targeted amplicon sequencing for SARS-CoV-2 mutation monitoring in wastewater.
Lou, Esther G; Sapoval, Nicolae; McCall, Camille; Bauhs, Lauren; Carlson-Stadler, Russell; Kalvapalle, Prashant; Lai, Yanlai; Palmer, Kyle; Penn, Ryker; Rich, Whitney; Wolken, Madeline; Brown, Pamela; Ensor, Katherine B; Hopkins, Loren; Treangen, Todd J; Stadler, Lauren B.
  • Lou EG; Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America.
  • Sapoval N; Department of Computer Science, Rice University, 6100 Main Street, Houston, TX 77005, United States of America.
  • McCall C; Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America.
  • Bauhs L; Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America.
  • Carlson-Stadler R; Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America.
  • Kalvapalle P; Systems, Synthetic, and Physical Biology Graduate Program, Rice University, 6100 Main Street, Houston, TX 77005, United States of America.
  • Lai Y; Houston Health Department, 8000 N. Stadium Dr., Houston, TX 77054, United States of America.
  • Palmer K; Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America.
  • Penn R; Houston Health Department, 8000 N. Stadium Dr., Houston, TX 77054, United States of America.
  • Rich W; Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America.
  • Wolken M; Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America.
  • Brown P; Houston Health Department, 8000 N. Stadium Dr., Houston, TX 77054, United States of America.
  • Ensor KB; Department of Statistics, Rice University, 6100 Main Street MS 138, Houston, TX 77005, United States of America.
  • Hopkins L; Houston Health Department, 8000 N. Stadium Dr., Houston, TX 77054, United States of America; Department of Statistics, Rice University, 6100 Main Street MS 138, Houston, TX 77005, United States of America.
  • Treangen TJ; Department of Computer Science, Rice University, 6100 Main Street, Houston, TX 77005, United States of America.
  • Stadler LB; Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America. Electronic address: lauren.stadler@rice.edu.
Sci Total Environ ; 833: 155059, 2022 Aug 10.
Article in English | MEDLINE | ID: covidwho-1773764
ABSTRACT
Over the course of the COVID-19 pandemic, variants of SARS-CoV-2 have emerged that are more contagious and more likely to cause breakthrough infections. Targeted amplicon sequencing approach is a gold standard for identification and analysis of variants. However, when applied to environmental samples such as wastewater, it remains unclear how sensitive this method is for detecting variant-associated mutations in environmental samples. Here we directly compare a targeted amplicon sequencing approach (using ARTIC v3; hereafter referred to as sequencing) with RT-ddPCR quantification for the detection of five mutations that are characteristic of variants of concern (VoCs) in wastewater samples. In total, 547 wastewater samples were analyzed using both methods in parallel. When we observed positive mutation detections by RT-ddPCR, 42.6% of the detection events were missed by sequencing, due to negative detection or the limited read coverage at the mutation position. Further, when sequencing reported negative or depth-limited mutation detections, 26.7% of those events were instead positive detections by RT-ddPCR, highlighting the relatively poor sensitivity of sequencing. No or weak associations were observed between quantitative measurements of target mutations determined by RT-ddPCR and sequencing. These findings caution the use of quantitative measurements of SARS-CoV-2 variants in wastewater samples determined solely based on sequencing.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Prognostic study Topics: Vaccines / Variants Limits: Humans Language: English Journal: Sci Total Environ Year: 2022 Document Type: Article Affiliation country: J.scitotenv.2022.155059

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Prognostic study Topics: Vaccines / Variants Limits: Humans Language: English Journal: Sci Total Environ Year: 2022 Document Type: Article Affiliation country: J.scitotenv.2022.155059