Cotton Leafhopper, Amrasca biguttula is an important pest of cotton and okra in the Indian subcontinent. Presently limited genomic/transcriptomic information is available for this insect in any of open source databases. The present study reports the first assembled and annotated de novo transcriptome of cotton leafhopper. Out of 75,551 transcripts, 39,613 CDS (Coding Sequence) were predicted with 35,282 showing positive blast hits with NCBI nr database. The Gene ontology (GO) analysis annotated 7431 CDS with KEGG pathway categorizing these CDS into 22 different functional groups. The majority of CDS were annotated in signal transduction and transport catabolism pathways. The sequence data was screened for RNAi pathway genes and presence of 37 transcripts associated with this process confirmed the existence of robust RNAi machinery. The role of core RNAi machinery genes (Dicer-2, Ago-2, Piwi and Staufen) has been validated through dsRNA feeding studies. The data resource has also been used to identify potential RNAi targets and genes associated with insecticide detoxification specifically CYP 450 family. The current study provides a useful sequence resource which can be used to initiate molecular studies in this insect with emphasis on insecticide resistance, RNAi and functional genomics.
Keywords: CYP450; Cotton leafhopper; De novo transcriptome; Insecticide resistance; Phylogenetic analysis; RNAi.