title: The relation between the genetic architecture of quantitative traits and long-term genetic response.
abstract: The genetic architecture of a quantitative trait refers to the number of genetic variants, allele frequencies, and effect sizes of variants that affect a trait and their mode of gene action. This study was conducted to investigate the effect of four shapes of allelic frequency distributions (constant, uniform, L-shaped and U-shaped) and different number of trait-affecting loci (50, 100, 200, 500) on allelic frequency changes, long term genetic response, and maintaining genetic variance. To this end, a population of 440 individuals composed of 40 males and 400 females as well as a genome of 200 cM consisting of two chromosomes and with a mutation rate of 2.5 × 10(-5) per locus was simulated. Selection of superior animals was done using best linear unbiased prediction (BLUP) with assumption of infinitesimal model. Selection intensity was constant over 30 generations of selection. The highest genetic progress obtained when the allelic frequency had L-shaped distribution and number of trait-affecting loci was high (500). Although quantitative genetic theories predict the extinction of genetic variance due to artificial selection in long time, our results showed that under L- and U-shapped allelic frequency distributions, the additive genetic variance is persistent after 30 generations of selection. Further, presence or absence of selection limit can be an indication of low (<50) or high (>100) number of trait-affecting loci, respectively. It was concluded that the genetic architecture of complex traits is an important subject which should be considered in studies concerning long-term response to selection.
authors.affiliation: Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran, P. O. Box 31585-4111, Karaj, Iran, r.abdollahi@ut.ac.ir.
authors.forename: Rostam
authors.initials: R
authors.lastname: Abdollahi-Arpanahi
authors.forename: Abbas
authors.initials: A
authors.lastname: Pakdel
authors.forename: Ardeshir
authors.initials: A
authors.lastname: Nejati-Javaremi
authors.forename: Mohammad Moradi
authors.initials: MM
authors.lastname: Shahrbabak
authors.forename: Farhad
authors.initials: F
authors.lastname: Ghafouri-Kesbi
mesh_terms: D000818:Animals; D003198:Computer Simulation; D005260:Female; D005787:Gene Frequency; D014644:Genetic Variation / Q000235:genetics*; D008297:Male; D008957:Models, Genetic; D010641:Phenotype; D040641:Quantitative Trait Loci; D012641:Selection, Genetic / Q000235:genetics*