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This research aims to investigate the robustness of Bayesian inference of gene flow under the multispecies coalescent model.

On the robustness of Bayesian inference of gene flow to intragenic recombination and natural selection

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This research aims to investigate the robustness of Bayesian inference of gene flow under the multispecies coalescent model.
Used simulation to assess false positive rates of Bayesian tests of gene flow.
Evaluated the influence of factors such as recombination, natural selection, and species divergence on gene flow tests.
Considered different scenarios, including sister and non-sister lineages.
Found that the test has very low false positive rates in most scenarios.
Identified high false positive rates for sister lineages with recent divergence and high recombination.
Test is robust against selective sweeps, background selection, and balancing selection at low recombination rates.

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Simulation reveals that Bayesian inference of gene flow has low false positive rates in genomic data, suggesting robustness under various conditions.

Thawornwattana et al. (2025) studied this question.

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Simulation reveals that Bayesian inference of gene flow has low false positive rates in genomic data, suggesting robustness under various conditions.