Project

Enhancing Diversity to Overcome Resistance Evolution

Funded by Biotechnology and Biological Sciences Research Council.

Collaboration with Centre for Agriculture and Biosciences International (CABI) and Sao Paulo State University (Universidade Estadual Paulista).

Despite its place as a global leader in agriculture, each year the Brazilian agricultural economy loses approximately $15 billion to insect crop pest outbreaks. Indeed, insects consume 10-20% of all global crops while growing or in storage. Current agricultural practices in Brazil rely heavily on widespread pesticide application, which has led to the evolution of pesticide resistance in several significant insect pests. Such practices undermine the sustainability of important crop pest control technologies, reduce associated economic returns, and exacerbate the risks to economic production and food security in Brazil. We propose a revolutionary approach to pest management that will enhance the sustainability and long-term resilience of crop production, which will benefit in managing insect pests more predictably.

Our solution comes from evolutionary science and the particular features of host-pathogen interactions. Insecticide resistance evolution occurs when a single control agent is applied over a broad area, then consistent evolutionary pressures drive rare resistance genes to spread rapidly through the pest population. To prevent these sweeps of resistant alleles, we are investigating how multiple fungal pathogen strains can be used in a spatial matrix across agricultural landscapes, so that selection for resistance varies in different locations, preventing a uniform evolutionary response. On their own, multiple pathogen strains may not be sufficient because of cross resistance: genes making pests resistant to one fungal strain could also confer resistance to others. However, in host-pathogen systems, the optimum genotype to defend against one pathogen is often highly sensitive to the organism's environment. Simultaneous manipulation of an environmental landscape variable (the type of crop grown by farmers) will substantially decrease the consistency of selection: we predict this will prevent resistance evolution.

In order to achieve real-world effectiveness of this pest control system, an integrated team of Brazilian and UK researchers will work together to establish the long-term prospects of our new solution. The aims are to:

  1. Examine whether genetic variation for insect susceptibility to multiple fungal biopesticides under heterogeneous agricultural landscapes is stable, and assess how it responds to selection in the long-term. This will allow us to anticipate and avoid selection for resistance to multiple strains, and insure the long-term sustainability of our pesticide resistance management system.

  2. Investigate the suitability of fungal biopesticides for industrial scale production and field application in Brazil, which will facilitate product development for future industrial investment. We will also provide farmers and the crop protection industry with solutions for crop protection technology deployment, including improved and enhanced delivery systems, consistency and performance under field conditions.

  3. Identify the barriers to uptake of new pest control technologies and research methods to encourage behavioural change. We will also provide economic and social science advice policy recommendations regarding incentive schemes, publicity campaigns and marketing strategies to promote the uptake of long term sustainable pest management practices.

Total award value £478,976.29

People (7)

Professor Matthew Tinsley

Professor Matthew Tinsley

Professor, BES

Professor Nils Bunnefeld

Professor Nils Bunnefeld

Professor, Biological and Environmental Sciences

Dr Brad Duthie

Dr Brad Duthie

Senior Lecturer, Biological and Environmental Sciences

Professor Rachel Norman

Professor Rachel Norman

Chair in Food Security & Sustainability, Mathematics

Dr Armin Sturm

Dr Armin Sturm

Senior Lecturer, Institute of Aquaculture

Professor Rachel Norman

Professor Rachel Norman

Chair in Food Security & Sustainability, Mathematics

Dr Armin Sturm

Dr Armin Sturm

Senior Lecturer, Institute of Aquaculture

Outputs (2)