Optimization of Sample Analysis Methods for the Early Detection of Invasive Dreissenid Mussels in Reclamation Reservoirs

Project ID: 22058
Principal Investigator: Rheannan Quattlebaum
Research Topic: Invasive Species
Funded Fiscal Years: 2022, 2023 and 2024
Keywords: None

Research Question

Can modifications to current sample preparation and analysis procedures or incorporation of new technologies improve the accuracy, efficiency, and cost-effectiveness of invasive dreissenid mussel detection?

We hypothesize that by investigating a variety of established and novel methods we will identify sample preparation and analysis procedures that will increase the likelihood of detecting veligers in complex samples and more accurately and efficiently enumerate large numbers of veligers in samples from waterbodies with known populations. To improve the accuracy, efficiency, and cost-effectiveness of our current standard operating procedure we will pursue the following objectives.

• Review and test invasive mussel sample analysis methods developed by other labs.
• Further investigate the settling cone efficacy and redesign if needed.
• Test the ability of ScanLogX automated machine learning technology to detect and count veligers.
• Test the ability of canines and mechanical noses to detect single veligers in complex water samples preserved with ethanol.
• Test the efficacy and applicability of SHERLOCK genetic detection methods

Need and Benefit

This proposal directly addresses the Invasive Species SSIP need for Early Detection and Monitoring. This work will improve and possibly develop new methods and techniques for early detection of invasive mussels that will be incorporated into the Eco Lab Standard Operating Procedure. This project addresses priority topics listed in the S&T Mussel Research Roadmap and the proposal was developed with input and coordination with the Invasive Species Research Coordinator, Sherri Pucherelli.

Contributing Partners

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Research Products

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Last Updated: 6/22/20