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Leveraging shared ancestral variation to detect local introgression.

Lesly Lopez Fang1,2, David Peede3,4,5, Diego Ortega-Del Vecchyo6

  • 1Department of Life & Environmental Sciences, University of California, Merced, Merced, California, United States of America.

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|January 8, 2024
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Summary
This summary is machine-generated.

We developed a new method, D+, to identify local introgression, which is gene flow between species. D+ improves accuracy by using both ancestral and derived genetic information, enhancing our understanding of evolutionary history.

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Area of Science:

  • Evolutionary biology
  • Population genetics
  • Genomics

Background:

  • Introgression, the transfer of genetic material between species, is a significant evolutionary process.
  • Existing methods like Patterson's D statistic detect genome-wide introgression but can be imprecise for local regions.
  • Detecting local introgression is crucial for understanding fine-scale evolutionary dynamics.

Purpose of the Study:

  • To introduce a novel statistic, D+, for inferring local introgressed regions.
  • To improve the precision of introgression detection compared to existing methods.
  • To provide a robust tool for analyzing gene flow in specific genomic areas.

Main Methods:

  • Developed the D+ statistic incorporating both shared ancestral and derived alleles.
  • Utilized a coalescent framework to derive the expected value of D+ under admixture models.
  • Employed coalescent simulations to assess the power and precision of D+.
  • Applied D+ to empirical data from the 1000 Genomes Project and Heliconius butterflies.

Main Results:

  • The D+ statistic leverages both ancestral and derived alleles to enhance the number of informative sites for detecting local introgression.
  • Coalescent simulations demonstrated that D+ offers comparable power to the D statistic but with improved precision.
  • Empirical application of D+ successfully identified local targets of introgression in human and butterfly populations.

Conclusions:

  • D+ provides a more precise method for identifying local introgression compared to traditional D statistic.
  • The new statistic enhances the ability to pinpoint specific genomic regions affected by gene flow.
  • D+ is a valuable tool for detailed evolutionary studies in various organisms.