Characterization of deleterious mutations in outcrossing populations.
Deng and Lynch recently proposed estimating the rate and effects of deleterious genomic mutations from changes in the mean and genetic variance of fitness upon selfing/outcrossing in outcrossing/highly selfing populations. The utility of our original estimation approach is limited in outcrossing populations, since selfing may not always be feasible. Here we extend the approach to any form of inbreeding in outcrossing populations. By simulations, the statistical properties of the estimation under a common form of inbreeding (sib mating) are investigated under a range of biologically plausible situations. The efficiencies of different degrees of inbreeding and two different experimental designs of estimation are also investigated. We found that estimation using the total genetic variation in the inbred generation is generally more efficient than employing the genetic variation among the mean of inbred families, and that higher degree of inbreeding employed in experiments yields higher power for estimation. The simulation results of the magnitude and direction of estimation bias under variable or epistatic mutation effects may provide a basis for accurate inferences of deleterious mutations. Simulations accounting for environmental variance of fitness suggest that, under full-sib mating, our extension can achieve reasonably well an estimation with sample sizes of only approximately 2000-3000.
Osteoporosis Research Center and Department of Biological Sciences, Creighton University, Omaha, Nebraska 68131, USA. deng@creighton.edu
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D000704:Analysis of Variance; D000818:Animals; D003198:Computer Simulation; D003433:Crosses, Genetic; D014644:Genetic Variation / Q000235:genetics; D007178:Inbreeding; D008957:Models, Genetic; D009154:Mutation