Transcriptomics-Based Approach Identifies Spinosad-Associated Targets in the Colorado Potato Beetle, <i>Leptinotarsa decemlineata</i>

The Colorado potato beetle <i>Leptinotarsa decemlineata</i> is an insect pest that threatens potato crops globally. The primary method to control its damage on potato plants is the use of insecticides, including imidacloprid, chlorantraniliprole and spinosad. However, insecticide resista...

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Bibliographic Details
Main Authors: Pierre Bastarache, Gabriel Wajnberg, Pascal Dumas, Simi Chacko, Jacynthe Lacroix, Nicolas Crapoulet, Chandra E. Moffat, Pier Morin
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Insects
Subjects:
Online Access:https://www.mdpi.com/2075-4450/11/11/820
Description
Summary:The Colorado potato beetle <i>Leptinotarsa decemlineata</i> is an insect pest that threatens potato crops globally. The primary method to control its damage on potato plants is the use of insecticides, including imidacloprid, chlorantraniliprole and spinosad. However, insecticide resistance has been frequently observed in Colorado potato beetles. The molecular targets and the basis of resistance to imidacloprid and chlorantraniliprole have both been previously quantified. This work was undertaken with the overarching goal of better characterizing the molecular changes associated with spinosad exposure in this insect pest. Next-generation sequencing was conducted to identify transcripts that were differentially expressed between Colorado potato beetles exposed to spinosad versus control insects. Results showed several transcripts that exhibit different expression levels between the two conditions, including ones coding for venom carboxylesterase-6, chitinase 10, juvenile hormone esterase and multidrug resistance-associated protein 4. In addition, several microRNAs, such as miR-12-3p and miR-750-3p, were also modulated in the investigated conditions. Overall, this work reveals a molecular footprint underlying spinosad response in Colorado potato beetles and provides novel leads that could be targeted as part of RNAi-based approaches to control this insect pest.
ISSN:2075-4450