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Multilocus epistasis,linkage, and genetic variance in breeding populations with few parents
Authors:D. A. Tabanao  J. Yu  R. Bernardo
Affiliation:(1) Department of Agronomy and Plant Genetics, University of Minnesota, 411 Borlaug Hall, 1991 Upper Buford Circle, St Paul, MN 55108, USA;(2) Department of Agronomy, Kansas State University, 3004 Throckmorton Plant Science Center, Manhattan, KS 66506, USA
Abstract:In a previous study of maize (Zea mays L.) populations formed from few parents, we found that estimates of genetic variances were inconsistent with a simple additive genetic model. Our objective in the current study was to determine how multilocus epistasis and linkage affect the loss of genetic variance in populations created from a small number of parents (N). In simulation experiments, F2 individuals from the same single cross were intermated to form progeny populations from N = 1, 2, 4, and 8 parents. Additive gene effects and metabolic flux epistasis due to L = 10, 50, and 100 loci were modeled. For additive, additive-with-linkage, epistatic, and epistasis-with-linkage models, we estimated the ratio between total genetic variance in the progeny population (V N ) and base population (V B ) as well as the 95th (Δ95%) and 75th (Δ75%) percentile differences between the estimated V N /V B and the V N /V B expected for the additive model. The mean V N /V B ratio was lower under epistasis than under additivity, indicating that metabolic flux epistasis hastens the decline in genetic variance due to small N. In contrast, Δ95% was higher with epistasis than with additivity across the different levels of N and L. Linkage had little effect on the mean V N /V B , whereas it increased Δ95% and Δ75% under both additivity and epistasis. Smaller N and L led to higher V N /V B particularly when epistasis was present. Overall, the results indicated that while metabolic flux epistasis led to a faster average decline in genetic variance, it also led to greater variability in this decline to the point that V N /V B was larger than expected in many populations.
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