Mining genes involved in insecticide resistance of Liposcelis bostrychophila Badonnel by transcriptome and expression profile analysis

• Published in: PloS one Vol. 8; no. 11; p. e79878
• Main Authors: Dou, Wei, Shen, Guang-Mao, Niu, Jin-Zhi, Ding, Tian-Bo, Wei, Dan-Dan, Wang, Jin-Jun
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 20.11.2013; Public Library of Science (PLoS)
• Subjects: Analysis; Animals; Apis mellifera; Commodities; Deltamethrin; Developmental stages; DNA, Complementary; Drosophila melanogaster; Engineering; Enzymes; Food security; Food supply; Gene expression; Gene Expression Profiling; Gene sequencing; Genes; Genomes; Genomics; Health aspects; Homology; Insect Proteins - genetics; Insecta - genetics; Insecticide resistance; Insecticide Resistance - genetics; Insecticides; Insects; Laboratories; Liposcelididae; Liposcelis bostrychophila; Malathion; Malathion - pharmacology; Medical research; Metabolism; Mining; Mining industry; Molecular biology; Molecular modelling; Nitriles - pharmacology; Orthology; Pest control; Pesticide resistance; Physiology; Pollutants; Proteins; Psocoptera; Pyrethrins - pharmacology; Quality; Real-Time Polymerase Chain Reaction; Studies; Target recognition; Toxicology; Transcriptome; Tribolium castaneum; China
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0079878

Recent studies indicate that infestations of psocids pose a new risk for global food security. Among the psocids species, Liposcelis bostrychophila Badonnel has gained recognition in importance because of its parthenogenic reproduction, rapid adaptation, and increased worldwide distribution. To date, the molecular data available for L. bostrychophila is largely limited to genes identified through homology. Also, no transcriptome data relevant to psocids infection is available. In this study, we generated de novo assembly of L. bostrychophila transcriptome performed through the short read sequencing technology (Illumina). In a single run, we obtained more than 51 million sequencing reads that were assembled into 60,012 unigenes (mean size = 711 bp) by Trinity. The transcriptome sequences from different developmental stages of L. bostrychophila including egg, nymph and adult were annotated with non-redundant (Nr) protein database, gene ontology (GO), cluster of orthologous groups of proteins (COG), and KEGG orthology (KO). The analysis revealed three major enzyme families involved in insecticide metabolism as differentially expressed in the L. bostrychophila transcriptome. A total of 49 P450-, 31 GST- and 21 CES-specific genes representing the three enzyme families were identified. Besides, 16 transcripts were identified to contain target site sequences of resistance genes. Furthermore, we profiled gene expression patterns upon insecticide (malathion and deltamethrin) exposure using the tag-based digital gene expression (DGE) method. The L. bostrychophila transcriptome and DGE data provide gene expression data that would further our understanding of molecular mechanisms in psocids. In particular, the findings of this investigation will facilitate identification of genes involved in insecticide resistance and designing of new compounds for control of psocids.