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Schistocerca neuropeptides - An update.

Lapo Ragionieri1, Rik Verdonck2, Heleen Verlinden3

  • 1University of Cologne, Department of Biology, Institute for Zoology, Zülpicher Str. 47b, 50674 Cologne, Germany.

Journal of Insect Physiology
|November 12, 2021
PubMed
Summary
This summary is machine-generated.

Researchers identified 81 neuropeptide precursor genes in the desert locust, Schistocerca gregaria. This study reveals conserved insect neuropeptide systems and unique Polyneoptera features, contrasting with losses in other insect groups.

Keywords:
GenomeLocustMass spectrometryPeptidomicsTranscriptome

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Area of Science:

  • Neurobiology
  • Genomics
  • Peptidomics

Background:

  • Neuropeptides are crucial signaling molecules in the insect nervous system.
  • Understanding neuropeptide diversity is key to insect neurobiology and evolution.
  • Previous studies highlighted variations in neuropeptidergic systems across insect taxa.

Purpose of the Study:

  • To comprehensively identify and characterize neuropeptide precursor genes in Schistocerca gregaria.
  • To identify mature neuropeptides in the S. gregaria nervous system using mass spectrometry.
  • To compare the S. gregaria neuropeptidome with other insect species to understand evolutionary patterns.

Main Methods:

  • Genome and transcriptome data analysis to identify precursor genes.
  • Mass spectrometry-based peptidomics to identify mature peptides.
  • Bioinformatic comparisons with neuropeptide datasets from other insect species.

Main Results:

  • Identified 81 neuropeptide precursor genes in S. gregaria, including 11 with alternative transcripts.
  • Confirmed significant conservation of insect neuropeptidergic gene sets.
  • Discovered Polyneoptera-specific precursors and a neuropeptidome similar to Locusta migratoria and other Polyneoptera.

Conclusions:

  • The S. gregaria neuropeptidergic system is highly conserved, with unique features within Polyneoptera.
  • This contrasts with significant losses observed in some holometabolous insects.
  • The generated peptidomics data provides a valuable resource for studying Polyneoptera neuropeptide systems.