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The cytochrome P450s CYP6CY3 and CYP6CY4 confer resistance to flupyradifurone in the green peach aphid Myzus persicae

  • Feb 11
  • 1 min read

Abstract


The green peach aphid, Myzus persicae, is an economically important crop pest that has evolved resistance to numerous insecticides used for control. Recent research has shown that populations of M. persicae in Greece have evolved resistance to flupyradifurone, a butenolide insecticide that acts as a reversible agonist on insect nicotinic acetylcholine receptors (nAChRs). However, the genetic mechanisms underpinning resistance remain unclear. Here we used transcriptomic profiling in combination with in vivo and in vitro functional approaches to show that flupyradifurone resistance in M. persicae is conferred by enhanced expression of the P450 genes CYP6CY3 and CYP6CY4. High levels of flupyradifurone resistance were observed in M. persicae clones from Greece and France, including in a clone that predates the registration of this insecticide. Synergist bioassays with piperonyl butoxide, an inhibitor of P450s, suggested resistance was mediated, in part, by enhanced P450 activity. Subsequent, transcriptome profiling identified several P450s that were overexpressed in the resistant M. persicae clones compared to susceptible clones. Functional characterisation of these P450s revealed that only CYP6CY3 and CYP6CY4 confer resistance in vivo and metabolise flupyradifurone in vitro. In two clones with extremely high levels of resistance to flupyradifurone, overexpression of these P450s was accompanied by the R81T mutation in the β1 subunit of the nAChR, known to confer resistance to neonicotinoids and cross-resistance to flupyradifurone. These findings provide new insight into the mechanisms of resistance to flupyradifurone and reveal how generalist P450s can be preadapted to confer cross-resistance to diverse insecticides.


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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.

This work also received funding from UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding Guarantee, grant number 10091427.

This work was supported by the Government of Canada through the Genomic Applications Partnership Program (GAPP) (OGI-229).

Project coordination

Prof. John Vontas

vontas@imbb.forth.gr

Foundation for Research and Technology-Hellas (FORTH)

Project communication

MSc Angeliki Milioti

angeliki@smartagrohub.gr

Smart Agro Hub

Project Framework

This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement 101136611. Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.

This work also received funding from UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding Guarantee, grant number 10091427.

This work was also supported by the Government of Canada through the Genomic Applications Partnership Program (GAPP) (OGI-229).

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