Decoding genomic landscapes of introgression.
More On Article
- Tracing Seaweed as Food and Fodder in Archaeology: A Review of Current Methods
- HEAS Congratulates Dr Emily Pigott
- Dip Your Finger in the Sea... Geoarchaeological View on Coastal Setting and Maritime Accessibility of the Coastal Town of Osor, Northern Adriatic.
- HEAS Seed Grants for February 2026 Announced.
- Alejandra Sánchez-Polo Awarded Prestigious Marie Skłodowska-Curie Postdoctoral Fellowship (MSCA)
Huang, X., Hackl, J., Kuhlwilm, M., 2025. Decoding genomic landscapes of introgression. Trends in Genetics.
Abstract
Genomic landscapes of introgression provide valuable information on how different evolutionary processes interact and leave signatures in genomes. The recent expansion of genomic datasets across diverse taxa, together with advances in methodological development, have created new opportunities to investigate the impact of introgression along individual genomes in various clades, making the precise identification of introgressed loci a rapidly evolving area of research. In this review we summarize recent methodological progress within three major categories: summary statistics, probabilistic modeling, and supervised learning. We examine how these approaches have been applied to data beyond humans and discuss the challenges associated with their application. Finally, we outline future directions for each category, including accessible implementation, transparent analysis, and systematic benchmarking.