Environmental DNA technologies and predictive modelling for rapid detection and identification of sugarcane priority pests and diseases

Summary

Biosecurity planning and surveillance is important for the ingoing profitability and sustainability of the sugarcane industry. Existing biosecurity surveillance is based on trapping pests or in-field identification of diseases by specialist entomologists and pathologists. All organisms shed their DNA into the environment and this environmental DNA (eDNA) can reveal their recent presence even when the pest is no longer present. In-field DNA-based identification can be done without the need for specialist entomologists and pathologists.

Using environmental DNA technology increases the chances of detection before an incursion becomes established. There are multiple recent examples of eDNA technology being successfully used to detect pests in a range of crops. To ensure that the eDNA surveillance is as cost-effective as possible, sophisticated forecasting is incorporated to identify the areas that are most at risk of pest incursions. The combination of forecasting and eDNA testing will improve the speed, efficiency, cost-effectiveness and accuracy of biosecurity surveillance.

Objectives

  • Increase efficiency of exotic species detection in real time
  • Develop diagnostic molecular assays for the identification of key sugarcane exotic pests
  • Risk-based deployment of resources through forecasting seasonal pest suitability and surveillance results
  • Upskilling of government and industry surveillance staff in the application of detection methods for sugarcane pests including in-field capabilities

Expected Outputs

  • Protocols for the detection of sugarcane pests and pathogens based on environmental samples without the need for trapping
  • Pest forecast maps to identify risk pathways across Northern Australia and determine high risk timepoints for establishment and spread
  • A user-friendly pest forecasting interface that will prioritise biosecurity surveillance activities in areas of maximum need
  • Training of key surveillance staff in the protocols for environmental DNA sampling and analysis

Expected Outcomes

  • Access to technology and tools that improve surveillance
  • Faster detection of pest incursions increases the chance of eradication or cost-effective management
  • Early detection will reduce the need for chemical control, so reduce potential environmental impacts and pesticide resistance
SRA PROJECT CONTACT: Dr Stephen Mudge
RESEARCH AGENCY: EnvironDNA Pty Ltd

CHIEF INVESTIGATOR: Dr Andrew Weeks

PROJECT NUMBER: 2020/007

END DATE: 01/06/2024