Gut transcriptome analysis shows different food utilization efficiency by the grasshopper Oedaleous asiaticus (Orthoptera: Acrididae)

Xunbing Huang, Mark Richard McNeill, Jingchuan Ma, Xinghu Qin, Xiongbing Tu, Guangchun Cao, Guangjun Wang, Xiangqun Nong, Zehua Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

Oedaleus asiaticus B. Bienko is a persistent pest occurring in north Asian grasslands. We found that O. asiaticus feeding on Stipa krylovii Roshev. had higher approximate digestibility (AD), efficiency of conversion of ingested food (ECI), and efficiency of conversion of digested food (ECD), compared with cohorts feeding on Leymus chinensis (Trin.) Tzvel, Artemisia frigida Willd., or Cleistogenes squarrosa (Trin.) Keng. Although this indicated high food utilization efficiency for S. krylovii, the physiological processes and molecular mechanisms underlying these biological observations are not well understood. Transcriptome analysis was used to examine how gene expression levels in O. asiaticus gut are altered by feeding on the four plant species. Nymphs (fifth-instar female) that fed on S. krylovii had the largest variation in gene expression profiles, with a total of 88 genes significantly upregulated compared with those feeding on the other three plants, mainly including nutrition digestive genes of protein, carbohydrate, and lipid digestion. GO and KEGG enrichment also showed that feeding S. krylovii could upregulate the nutrition digestion-related molecular function, biological process, and pathways. These changes in transcripts levels indicate that the physiological processes of activating nutrition digestive enzymes and metabolism pathways can well explain the high food utilization of S. krylovii by O. asiaticus.

Original languageEnglish
Pages (from-to)1831-1840
Number of pages10
JournalJournal of Economic Entomology
Volume110
Issue number4
Early online date19 May 2017
DOIs
Publication statusPublished - 1 Aug 2017

Keywords

  • Oedaleus asiaticus
  • Food utilization efficiency
  • Illumina HiSeq
  • Grassland

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