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Data set for diet specific differential gene expression analysis in three Spodoptera moths.

A Roy1, W B Walker2, H Vogel3

  • 1Chemical Ecology, Department of Plant Protection Biology, Swedish University of Agricultural Sciences, SE-230 53 Alnarp, Sweden.

Data in Brief
|July 2, 2016
PubMed
Summary

This study compares metabolic responses in Spodoptera larvae fed different diets using RNAseq. It reveals differential gene expression in insect herbivores, aiding evolutionary polyphagy research.

Keywords:
AdaptationDifferential expression analysis (DGE)GeneralistRNA seqRPKM (reads per kilo base of transcript per million mapped reads)SpecialistSpodopteraTranscriptomics

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Area of Science:

  • * Insect molecular biology and evolutionary studies.
  • * Comparative genomics and transcriptomics.
  • * Herbivore-plant interactions and metabolic adaptation.

Background:

  • * Closely related species pairs are valuable for evolutionary comparisons of polyphagy.
  • * Spodoptera species (S. littoralis and S. frugiperda) are key lepidopteran herbivores with varying diets.
  • * Understanding differential metabolic responses is crucial for insect pest management and evolutionary insights.

Purpose of the Study:

  • * To investigate differential metabolic responses in Spodoptera littoralis (SL) and Spodoptera frugiperda (SF) larvae.
  • * To compare transcriptomic profiles after feeding on maize leaves versus a pinto bean-based artificial diet.
  • * To provide foundational data for evolutionary comparisons of polyphagy in lepidopteran herbivores.

Main Methods:

  • * RNA sequencing (RNAseq) of midguts from 3rd instar larvae of S. littoralis and S. frugiperda (maize and rice strains).
  • * Paired-end Illumina HiSeq2500 sequencing to generate high-throughput sequencing data.
  • * De novo transcriptome assembly (TA) and quality control of sequencing reads.

Main Results:

  • * High-quality transcriptome assemblies were generated for both SL (28,329 contigs) and SF (37,985 contigs).
  • * Significant numbers of sequencing reads were obtained and processed for differential gene expression analysis.
  • * The study provides a reference transcriptome backbone for future functional genomic studies in these species.

Conclusions:

  • * The study successfully generated comprehensive transcriptomic data for Spodoptera species under different dietary conditions.
  • * This data serves as a valuable resource for understanding the molecular basis of diet specialization and polyphagy.
  • * Findings contribute to evolutionary biology and provide insights for managing agricultural pests.