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Biology subjects

Ohlsson, J. I.

Publications and source records attributed to Ohlsson, J. I..

2 recordsLinked to original sources

When large-effect damaging alleles enter small populations

Large-effect recessive damaging variants found at relatively high frequencies are common enough in domestic animals that they cause problems in breeding programs. There are several potential reasons. Deleterious variants may rise in frequency because of genetic drift, be driven to intermediate frequency by balancing selection by heterozygote advantage, or be spread by exceptionally influential parents, usually sires, that sometimes occur in animal breeding programs. Further, animal populations are often connected by migration. In this paper, we use a series of population genetic models to address how large-effect damaging alleles establish themselves in small populations, such as domestic animal populations or wild populations of mammals. The results confirm that a lethal allele under directional selection is fairly unlikely to become common, unless there are influential sire events with very large contributions or the population size is very small. On the other hand, a lethal allele under balancing selection can easily become common, especially if there are influential parents. When there is balancing selection, migration between connected populations effectively spreads alleles. The results accord with the many examples of recessive damaging alleles in domestic animals.

genetics↗

Population history of Swedish cattle breeds: estimates and model checking

In this work, we use linkage disequilibrium-based methods to estimate recent population history from genotype data in Swedish cattle breeds, as well as international Holstein and Jersey cattle data for comparison. Our results suggest that these breeds have been effectively large up until recently, when they declined around the onset of systematic breeding. The inferred trajectories were qualitatively similar, with a large historical population and one decline. We used population genetic simulation to check the inferences. When comparing simulations from the inferred population histories to real data, the proportion low-frequency variants in real data was different than was implied by the inferred population histories, and there was somewhat higher genomic inbreeding in real data than implied by the inferred histories. The inferred population histories imply that much of the variation we see today is transient, and it will be lost as the populations settle into a new equilibrium, even if efforts to maintain effective population size at current levels are successful.

genetics↗