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  • 1Institute of Environmental Sciences, Faculty of Biology, Jagiellonian University, Kraków, Poland.

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|January 22, 2026
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Summary

This study reconstructs the demographic history of the spruce bark beetle (Ips typographus) using genome-wide data. It reveals a Late Pleistocene divergence and distinct population expansions, finding chromosomal inversions had minimal impact on demographic inference.

Keywords:
Ips typographusdemographic inferenceevolutionary historygenomic inversionsspruce bark beetle

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Area of Science:

  • Evolutionary biology
  • Genomics
  • Population genetics

Background:

  • Demographic history inference from whole-genome data is crucial for understanding species evolution.
  • Polymorphic chromosomal inversions can affect genome-wide variation and evolutionary inferences.
  • The spruce bark beetle (Ips typographus) genome contains a complex inversion landscape.

Purpose of the Study:

  • To reconstruct the demographic history of the spruce bark beetle across Europe.
  • To investigate the impact of chromosomal inversions on demographic inference.
  • To provide insights into the evolutionary dynamics of this important forest pest.

Main Methods:

  • Genome-wide data analysis from over 300 Ips typographus individuals across 23 European populations.
  • Application of Pairwise Sequential Markovian Coalescent (PSMC) and Site Frequency Spectrum (SFS)-based modeling.
  • Analysis of a complex polymorphic inversion landscape covering approximately 28% of the beetle genome.

Main Results:

  • A Late Pleistocene divergence (~79 kya) was identified between southern and northern European populations.
  • Southern populations underwent significant expansion post-divergence; northern populations expanded during the Holocene (~7 kya).
  • Chromosomal inversions had a minor impact on demographic parameter estimates and model selection.

Conclusions:

  • The study elucidates the historical population dynamics of the spruce bark beetle.
  • It demonstrates that complex genomic architectures like inversions can be accounted for in demographic inference.
  • Findings improve understanding of how genomic structure influences evolutionary history reconstruction.