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Coffee, one of the most popular beverages worldwide, is among the main commodities driving the economy, not only in Brazil but in the entire world.Leucoptera coffeella, also known as Coffee Leaf Miner (CLM), is considered one of the most significant coffee pests, responsible for yield losses of up to 70% in production. In this context, this work aimed to identify the protein profiles in the different stages of CLM larvae life cycle, generating valuable and innovative information for this organism. Proteins were identified in two analyses with different approaches, one homology-based and the other draft genome-based. Among the differentially abundant proteins (DAPs), 141 were characterized using the data from Plutella xylostella, and 324 were identified using the data from L.coffeella itself. Both proteomic analyses resulted in the discovery of important proteins associated with fundamental functions for the organism and with high potential for use in pest control. Seven proteins were subjected to analysis via RT-qPCR to confirm their relative abundance, identifying proteins that play important roles in CLM adaptation to environmental conditions. The results obtained provide important information in the pursuit of biocontrol strategies aiming at the reduction of pesticide use in crop production.
Nascimento et al. (Fri,) studied this question.