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

PLoS One. 2013 Nov 20;8(11):e79878. doi: 10.1371/journal.pone.0079878. eCollection 2013.

Abstract

Background: 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.

Methodology and principal findings: 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.

Conclusion: 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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • DNA, Complementary
  • Gene Expression Profiling*
  • Insect Proteins / genetics*
  • Insecta / genetics*
  • Insecticide Resistance / genetics*
  • Malathion / pharmacology
  • Nitriles / pharmacology
  • Pyrethrins / pharmacology
  • Real-Time Polymerase Chain Reaction
  • Transcriptome*

Substances

  • DNA, Complementary
  • Insect Proteins
  • Nitriles
  • Pyrethrins
  • decamethrin
  • Malathion

Grants and funding

This study was funded in part by the National Natural Sciences Foundation (30871631, 31000860), the Program for Innovative Research Team in University (IRT0976), the Specialized Research Fund for the Doctoral Program of Higher Education (20100182120022), and the Fundamental Research Funds for the Central Universities, China (XDJK2013A005, XDJK2011C009). The funders had no role in study design, data collection and analysis, the decision to publish, or the preparation of the manuscript.