Polygenic adaptation: a unifying framework to understand positive selection.

Nat Rev Genet

Institut für Populationsgenetik, Vetmeduni Vienna, Vienna, Austria.

Published: December 2020


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Most adaption processes have a polygenic genetic basis, but even with the recent explosive growth of genomic data we are still lacking a unified framework describing the dynamics of selected alleles. Building on recent theoretical and empirical work we introduce the concept of adaptive architecture, which extends the genetic architecture of an adaptive trait by factors influencing its adaptive potential and population genetic principles. Because adaptation can be typically achieved by many different combinations of adaptive alleles (redundancy), we describe how two characteristics - heterogeneity among loci and non-parallelism between replicated populations - are hallmarks for the characterization of polygenic adaptation in evolving populations. We discuss how this unified framework can be applied to natural and experimental populations.

Download full-text PDF

Source
http://dx.doi.org/10.1038/s41576-020-0250-zDOI Listing

Publication Analysis

Top Keywords

polygenic adaptation
8
unified framework
8
adaptation unifying
4
unifying framework
4
framework understand
4
understand positive
4
positive selection
4
selection adaption
4
adaption processes
4
processes polygenic
4

Similar Publications

Understanding the rate and nature of adaptation is crucial for managing biodiversity across our changing landscapes. This perspective synthesizes insights from resistance evolution - a case of rapid, repeated adaptation to extreme human-mediated selection - to reveal how adaptive genetic architectures determine and feedback with evolutionary dynamics. Recent population genomic and quantitative genetic approaches have demonstrated that the extent of genetic parallelism and reliance on de novo vs standing genetic variation can vary with the complexity of genetic architectures.

View Article and Find Full Text PDF

Background: India's indigenous sheep breeds have evolved under extreme and diverse agro-ecological pressures, yet the genomic basis of their resilience and local adaptation remains poorly understood.

Method: This study combines genomic inbreeding estimates, runs of homozygosity (ROH), population structure analyses, and composite selection scans to investigate three native Indian breeds-Changthangi, Deccani, and Garole-within a panel of nine breeds that also includes populations from Africa (Ethiopian Menz), East and South Asia (Tibetan, Chinese Merino, Bangladesh Garole, Bangladesh East), and Europe (Suffolk).

Results: ROH and heterozygosity estimates revealed strong contrasts: Bangladesh East sheep exhibited high genomic inbreeding (F≈14.

View Article and Find Full Text PDF

Chromosomal inversions are ubiquitous across the Tree of Life, with genome-wide studies revealing a bias toward smaller inversions, yet research has disproportionately focused on large, supergene-like inversions linked to discrete phenotypes. This limits our understanding of inversions' roles in trait evolution, as their size affects their potential functional impact. Investigation of smaller inversions and multi-inversion genotypes is crucial to elucidate their role in shaping continuous traits and evolutionary adaptation.

View Article and Find Full Text PDF

Using landscape genomics to infer genomic regions involved in environmental adaptation of soybean genebank accessions.

BMC Plant Biol

September 2025

Institute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, Stuttgart, Germany.

Background: Understanding how crops adapt to specific environmental conditions is becoming increasingly important in the face of accelerating climate change, but the genetics of local adaptation remains little understood for many crops. Landscape genomics can reveal patterns of genetic variation that indicate adaptive diversification during crop evolution and dispersal. Here, we examine genetic differentiation and association signatures with environmental gradients in soybean () germplasm groups from China that were inferred from the USDA Soybean Germplasm Collection ( = 17, 019 accessions) based on population structure and passport information.

View Article and Find Full Text PDF