Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Over the last decade, the genomic revolution has offered the possibility to generate tremendous amounts of data that contain valuable information on the genetic basis of phenotypic traits, such as those linked to human diseases or those that allow for species to adapt to a changing environment. Most ecologically relevant traits are controlled by a large number of genes with small individual effects on trait variation, but that are connected with one another through complex developmental, metabolic and biochemical networks. As a result, it has recently been suggested that most adaptation events in natural populations are reached via correlated changes at multiple genes at a time, for which the name polygenic adaptation has been coined. The current challenge is to develop methods to extract the relevant information from genomic data to detect the signature of polygenic evolutionary change. The symposium entitled "Detecting the Genomic Signal of Polygenic Adaptation and the Role of Epistasis in Evolution" held in 2017 at the University of Zürich aimed at reviewing our current state of knowledge. In this review, we use the talks of the invited speakers to summarize some of the most recent developments in this field.

Download full-text PDF

Source
http://dx.doi.org/10.1111/mec.14499DOI Listing

Publication Analysis

Top Keywords

polygenic adaptation
12
genomic signal
8
signal polygenic
8
adaptation role
8
role epistasis
8
detecting genomic
4
polygenic
4
adaptation
4
epistasis evolution
4
evolution decade
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