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Estimating Barriers to Gene Flow from Distorted Isolation-by-Distance Patterns.

Harald Ringbauer1, Alexander Kolesnikov2, David L Field3

  • 1Institute of Science and Technology Austria, Klosterneuburg A-3400, Austria hringbauer@ist.ac.at.

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|January 10, 2018
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Summary
This summary is machine-generated.

We developed a new method to detect barriers to gene flow using genetic data. This approach analyzes genetic similarity to estimate barrier strength and demographic parameters in populations.

Keywords:
barriers to gene flowdemographic inferenceidentity by descentisolation by distance

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Area of Science:

  • Population Genetics
  • Genomics
  • Evolutionary Biology

Background:

  • Isolation by distance predicts higher genetic similarity between nearby individuals.
  • Barriers to gene flow disrupt this pattern, decreasing similarity across barriers and increasing it nearby.
  • Detecting and quantifying these barriers is crucial for understanding population structure and evolution.

Purpose of the Study:

  • To introduce a novel inference scheme for detecting and quantifying linear barriers to gene flow in two-dimensional populations.
  • To estimate the strength of these barriers and associated demographic parameters using genetic marker data.
  • To assess the power of the inference scheme through simulations and a real-world case study.

Main Methods:

  • Utilizing a diffusion approximation to model the backward-in-time spread of ancestry in the presence of a barrier.
  • Calculating probabilities of recent coalescence and identity by descent.
  • Fitting theoretical results to the geographic covariance structure of biallelic genetic markers.

Main Results:

  • The developed inference scheme can detect and estimate the strength of linear barriers to gene flow.
  • Simulations demonstrate the scheme's power in identifying barriers across various scenarios.
  • Application to *Antirrhinum majus* (snapdragon) revealed no strong genome-wide barrier signal in the studied hybrid zone.

Conclusions:

  • The new inference scheme provides a robust tool for identifying and characterizing barriers to gene flow.
  • The method has potential applications in diverse fields, including conservation and evolutionary studies.
  • The study highlights the complexity of gene flow, with no strong barrier detected in the snapdragon hybrid zone.