Landscape Genomics for Local Adaptation

Landscape genomics integrates spatial environmental data with genome-wide variation to identify genetic loci underlying adaptation to local conditions. This field examines how heterogeneous landscapes shape population structure and drive selective pressures at different scales. By combining high-resolution environmental variables, such as temperature, precipitation or soil characteristics, with dense molecular markers across the genome, landscape genomics seeks to detect signatures of local adaptation that remain obscured in traditional population genetics. Central aims include unravelling the genetic basis of ecological resilience, informing conservation strategies for fragmented populations and guiding sustainable management of agricultural and natural resources in the face of global environmental change. Through genome scans, genotype–environment association tests and spatially explicit modelling, researchers can pinpoint candidate genes and regulatory elements responsive to abiotic stressors and habitat heterogeneity. These insights facilitate the development of climate-adaptive breeding programmes and underpin efforts to preserve genetic diversity essential for ecosystem stability and species survival.

Research from Nature Portfolio

Recent studies have demonstrated the power of genome-environment analyses in revealing adaptive variation in plant and insect species subject to distinct ecological pressures. In forage legumes, comprehensive genotyping of populations exposed to long-term grazing across diverse soil zones uncovered single-nucleotide polymorphisms associated with traits such as drought tolerance, regrowth vigour and protein content. Candidate genes linked to abiotic stress responses illustrate how selection by grazing regimes shapes functional genomic diversity in managed grassland ecosystems. In insect pollinators, whole-genome resequencing along climatic gradients identified hundreds of outlier variants implicated in precipitation, temperature and photoperiod adaptation. Many adaptive loci were located in regulatory regions adjacent to exons, suggesting that fine-tuning of gene expression plays a critical role in maintaining resilience to environmental fluctuations in wild populations.

Landscape Genomics for Local Adaptation publication trend

The graph below shows the total number of articles in landscape genomics for local adaptation across all publications each year (not limited to Nature Index journals).

Technical terms

Landscape genomics: The study of how environmental heterogeneity influences genome-wide patterns of genetic variation and adaptation in natural populations.

Genotype–environment association (GEA): Statistical tests that correlate allele frequencies with environmental variables to detect loci under selection.

Genome scan: A systematic survey of genetic markers across the genome to identify regions showing unusual differentiation suggesting selection.

Local adaptation: The process by which populations evolve specific traits that enhance survival and reproduction in their native environments.

Single-nucleotide polymorphism (SNP): A variation at a single base position in the DNA sequence among individuals, used as genetic markers in genomic studies.

References

1. Genetic diversity and local adaption of alfalfa populations (Medicago sativa L.) under long-term grazing. Scientific Reports (2023).
2. Whole genome SNP-associated signatures of local adaptation in honeybees of the Iberian Peninsula. Scientific Reports (2018).
3. Genomic signatures of local adaptation in recent invasive Aedes aegypti populations in California. BMC Genomics (2023).
4. Genome–Environment Associations, an Innovative Tool for Studying Heritable Evolutionary Adaptation in Orphan Crops and Wild Relatives. Frontiers in Genetics (2022).