JUN 16, 2021 11:00 AM PDT
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Implementation of a High-Throughput Wastewater SARS-CoV-2 Detection Method: Providing Actionable Data to your County or Campus

Sponsored by: Ceres Nanosciences
Speaker
  • Post-Doctoral Research Associate University of California San Diego
    Biography
      Dr. Karthikeyan specializes in environmental microbial genomics, working at the interface of microbial ecology, computational biology, and engineering. Dr. Karthikeyan obtained her PhD in Environmental Engineering from Georgia Institute of Technology, where she developed integrated wet-lab and computational biology-based approaches to model, predict, and forecast ecosystem recovery patterns in benthic ecosystems affected by the 2010 Deepwater Horizon oil spill. She joined the Knight lab in 2020 and is using multi-omics approaches to provide a holistic view of environmental systems. Her focus to date has been the development of a campus wide system for the acquisition, processing, and analysis of wastewater SARS-CoV-2 surveillance.

    Abstract
    Date:  June 16, 2021
    Time: 11:00am (PDT),  2:00pm (EDT)
     
    Large-scale wastewater surveillance can be used to help communities monitor infection dynamics for SARS-CoV-2. Wide-spread implementation of wastewater surveillance has been stymied by lack of a robust, high-throughput viral concentration method. In this webinar, researchers from University of California San Diego will discuss an automated method using affinity-capture magnetic hydrogel particles, followed by RNA extraction, RT-qPCR and sequencing. All steps from concentration to RT-qPCR plating are performed hands-free and conducted by liquid-handling robots, enabling the processing of 96 raw sewage samples in just 4.5 hours (concentration to RT-qPCR detection/quantification), effectively reducing the processing time by at least 20-fold. The high-throughput method has higher recovery efficiencies than conventionally used methods for viral wastewater concentration and can enable the processing of over 100 wastewater samples in a day. Using the high-throughput pipeline, samples from the influent stream of the primary wastewater treatment plant of San Diego County (serving 2.3 million residents) were processed for a period of 13 weeks. Wastewater estimates of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral genome copies in raw untreated wastewater correlated strongly with clinically reported cases by the county, and when used alongside past reported case numbers and temporal information in an autoregressive integrated moving average model, enabled prediction of new reported cases up to 3 weeks in advance. On campus, the high-throughput method has been used to process over 9,500 samples from 121 samplers covering 350 buildings. The sensitivity of the high-throughput protocol was shown to detect 1 asymptomatic individual in a building of 415 residents. To date, nearly 85% of the individual cases on the UCSD campus have been preceded by positive wastewater samples. Extracted RNA samples from this high-throughput method can be used for genome sequencing, which will prove invaluable as there is a growing need to keep track of emerging variants.
     
    Learning Objectives
    • Discover how to use wastewater surveillance to monitor infectious dynamics in your building, town or county.
    • Discuss the different methods used for concentrating SARS-CoV-2 prior to RNA extraction from wastewater with their characteristics and performances
    • Explain how to effectively reduce turnaround time for high throughput detection of SARS-CoV-2 in wastewater surveillance workflows.
     
     
     
    Webinars will be available for unlimited on-demand viewing after live event.
     
    LabRoots is approved as a provider of continuing education programs in the clinical laboratory sciences by the ASCLS P.A.C.E. ® Program. By attending this webinar, you can earn 1 Continuing Education credit once you have viewed the webinar in its entirety.

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