Heterozygosity-fitness correlations and associative overdominance: new detection method and proof of principle in the Iberian wild boar.

摘要: Heterozygosity-fitness correlations (HFC) may result from a genome-wide process — inbreeding or local effects within the genome. The majority of empirical studies reporting HFCs have attributed to depression. However, are unlikely be caused by depression because heterozygosity measured at small number neutral markers is accurately capture pattern. Testing strengths localized associative overdominance has proven challenging. In their current paper, Amos and Acevedo-Whitehouse present novel test for HFCs. Using stochastic simulations, they determine conditions under which single-locus arise, before testing strength correlation between marker linked gene selection in simulations. They used insights gained simulation statistically investigate likely cause disease status using data on bovine tuberculosis infections wild boar population. discover that single microsatellite an excellent predictor progression infected individuals. results relevant management but, more generally, demonstrate how could identify coding loci free-living populations.