51
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Transcriptomic and Proteomic Responses of Sweetpotato Whitefly, Bemisia tabaci, to Thiamethoxam

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The sweetpotato whitefly, Bemisia tabaci (Hemiptera: Aleyrodidae), is one of the most widely distributed agricultural pests. Although it has developed resistance to many registered insecticides including the neonicotinoid insecticide thiamethoxam, the mechanisms that regulate the resistance are poorly understood. To understand the molecular basis of thiamethoxam resistance, “omics” analyses were carried out to examine differences between resistant and susceptible B. tabaci at both transcriptional and translational levels.

          Results

          A total of 1,338 mRNAs and 52 proteins were differentially expressed between resistant and susceptible B. tabaci. Among them, 11 transcripts had concurrent transcription and translation profiles. KEGG analysis mapped 318 and 35 differentially expressed genes and proteins, respectively, to 160 and 59 pathways (p<0.05). Thiamethoxam treatment activated metabolic pathways (e.g., drug metabolism), in which 118 transcripts were putatively linked to insecticide resistance, including up-regulated glutathione-S-transferase, UDP glucuronosyltransferase, glucosyl/glucuronosyl transferase, and cytochrome P450. Gene Ontology analysis placed these genes and proteins into protein complex, metabolic process, cellular process, signaling, and response to stimulus categories. Quantitative real-time PCR analysis validated “omics” response, and suggested a highly overexpressed P450, CYP6CX1, as a candidate molecular basis for the mechanistic study of thiamethoxam resistance in whiteflies. Finally, enzymatic activity assays showed elevated detoxification activities in the resistant B. tabaci.

          Conclusions

          This study demonstrates the applicability of high-throughput omics tools for identifying molecular candidates related to thiamethoxam resistance in an agricultural important insect pest. In addition, transcriptomic and proteomic analyses provide a solid foundation for future functional investigations into the complex molecular mechanisms governing the neonicotinoid resistance in whiteflies.

          Related collections

          Author and article information

          Contributors
          Role: Editor
          Journal
          PLoS One
          PLoS ONE
          plos
          plosone
          PLoS ONE
          Public Library of Science (San Francisco, USA )
          1932-6203
          2013
          9 May 2013
          : 8
          : 5
          : e61820
          Affiliations
          [1 ]Department of Plant Protection, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, P. R. China
          [2 ]Department of Entomology, University of Kentucky, Lexington, Kentucky, United States of America
          Children's Medical Research Institute, Australia
          Author notes

          Competing Interests: The authors have declared that no conflict of interest exists.

          Conceived and designed the experiments: NNY WX XGZ YJZ. Performed the experiments: NNY XBS YF XY. Analyzed the data: NNY. Contributed reagents/materials/analysis tools: NNY RML HPP BML SLW QJW BYX XGZ YJZ. Wrote the paper: NNY XGZ.

          Article
          PONE-D-12-33911
          10.1371/journal.pone.0061820
          3650016
          23671574
          1a371189-2af8-4ff3-ad8b-62994fdd01f3
          Copyright @ 2013

          This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

          History
          : 1 November 2012
          : 13 March 2013
          Page count
          Pages: 13
          Funding
          This research was supported by the National Basic Research Program of China (2013CB127602), National Technology Support Program (2012BAD19B06) and Beijing Key Laboratory for Pest Control and Sustainable Cultivation of Vegetables, P.R. China. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
          Categories
          Research Article
          Agriculture
          Agrochemicals
          Pesticides
          Biology
          Biochemistry
          Enzymes
          Enzyme Metabolism
          Nucleic Acids
          DNA
          Complementary DNA
          RNA
          Proteins
          Protein Chemistry
          Genomics
          Genome Analysis Tools
          Gene Ontologies
          Gene Prediction
          Genetic Maps
          Sequence Assembly Tools
          Transcriptomes
          Proteomics
          Proteomic Databases
          Sequence Analysis
          Sequencing
          Spectrometric Identification of Proteins
          Toxicology

          Uncategorized
          Uncategorized

          Comments

          Comment on this article

          scite_
          0
          0
          0
          0
          Smart Citations
          0
          0
          0
          0
          Citing PublicationsSupportingMentioningContrasting
          View Citations

          See how this article has been cited at scite.ai

          scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

          Similar content753

          Cited by33