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April 18, 2026Molecular Ecology0 citationsOpen Access

Divergent Selection on Dispersal Targets Chemosensory and Neuronal Genes in Tribolium castaneum

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MPMichael D. PointerWNWill J. NashLSLewis G. Spurgin

Key Points

  • The study aims to uncover the genetic basis for dispersal behavior in Tribolium castaneum.
  • Conducted artificial selection on replicated lines of Tribolium castaneum
  • Utilized whole-genome resequencing
  • Performed population-level genotype-phenotype association analysis
  • Identified nine genomic regions linked to dispersal
  • Found 42 genes significantly associated with dispersal selection
  • Demonstrated important roles of neuronal and chemosensory pathways in mediating dispersal behaviour

Abstract

ABSTRACT Dispersal is key to the life history, ecology and evolution of many organisms and important in pest invasiveness. However, the genetic architecture underlying variation in dispersal behaviour remains poorly understood outside of a few model species. We investigated the genomic basis of dispersal using artificial selection on replicated lines of Tribolium castaneum , a flour beetle, an emergent model system and an economically important agricultural pest. Combining whole‐genome resequencing with population‐level genotype–phenotype association analysis, we identify nine genomic regions and 42 genes associated with selection on dispersal. Identified candidate genes were significantly enriched for functions related to neuronal structure and function, as well as chemosensory behaviour and mating, suggesting that variation in dispersal is mediated by neural and chemosensory pathways. Our results demonstrate that dispersal propensity has a polygenic basis and support an interaction between dispersal and mating ecology in this system. These findings contribute to a deeper understanding of the genetic mechanisms driving dispersal evolution and its role in shaping eco‐evolutionary dynamics.

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Cite This Study

Pointer et al. (2026) studied this question.

synapsesocial.com/papers/69e31f9e40886becb653ed94https://doi.org/10.1111/mec.70350
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