VolcanoFinder: Genomic scans for adaptive introgression.

摘要: Recent research shows that introgression between closely-related species is an important source of adaptive alleles for a wide range taxa. Typically, detection from genomic data relies on comparative analyses require sequence both the recipient and donor species. However, in many cases, unknown or not currently available. Here, we introduce genome-scan method-VolcanoFinder-to detect recent events using polymorphism only. VolcanoFinder detects sweeps pattern excess intermediate-frequency they produce flanking region genome, which appears as volcano-shape pairwise genetic diversity. Using coalescent theory, derive analytical predictions these patterns. Based results, develop composite-likelihood test to signatures relative background. Simulation results show has high statistical power signatures, even older soft initiated by multiple migrant haplotypes. Finally, implement archaic European sub-Saharan African human populations, uncovered interesting candidates such TSHR Europeans TCHH-RPTN Africans. We discuss their biological implications provide guidelines identifying circumventing artifactual signals during empirical applications VolcanoFinder.