Evaluation of the Minimum Sampling Design for Population Genomic and Microsatellite Studies: An Analysis Based on Wild Maize
Jonás A. Aguirre‐Liguori, Javier A. Luna-Sánchez, Jaime Gasca‐Pineda, Luis E. Eguiarte
Abstract
was particularly sensitive to a low sampling of individuals in the simulated, genomic, and microsatellite datasets. For the empirical and simulated genomic datasets, we found that as long as many populations are sampled, few individuals and loci are needed. For the empirical datasets, we found that increasing the number of populations sampled was important in obtaining precise landscape genetic estimates. Finally, we corroborated that outlier tests are sensitive to the number of populations sampled. We conclude by proposing different sampling designs depending on the objectives.
Topics & Concepts
MicrosatelliteOutlierBiologySampling (signal processing)PopulationPopulation geneticsComputational biologyEvolutionary biologyComputer scienceGeneticsArtificial intelligenceGeneAlleleFilter (signal processing)SociologyComputer visionDemographyGenetic and phenotypic traits in livestockGenetic Mapping and Diversity in Plants and AnimalsGenetic diversity and population structure