LEA

LEA performs landscape genomics and ecological association analyses to detect genetic polymorphisms correlated with environmental gradients and infer local adaptation.

Key Features:

• Ecological association studies: Performs genomewide ecological association analyses using population genomic and environmental data to identify allele frequency changes statistically associated with environmental gradients.
• Population structure analysis: Estimates ancestry coefficients from large genotypic matrices to characterize population structure.
• Genome scans for adaptive alleles: Conducts genome scans evaluating correlations between genetic polymorphisms and environmental variables to detect candidate adaptive alleles.
• Statistical rigor and visualization: Adjusts significance values for multiple testing, implements false discovery rate control, and provides visualization tools for result interpretation.

Scientific Applications:

• Evolutionary biology: Identifies genetic polymorphisms associated with environmental gradients to study natural selection and local adaptation.
• Conservation genetics: Detects candidate adaptive loci to inform conservation of genetic diversity and adaptive potential.
• Ecology: Assesses genotype–environment relationships to study biodiversity responses to environmental change.

Methodology:

Performs genomewide ecological association analyses using population genomic and environmental data; estimates ancestry coefficients from genotypic matrices; conducts genome scans evaluating correlations between polymorphisms and environmental variables; adjusts significance values for multiple testing and controls false discovery rate; and produces visualizations of results.