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Polymorphism and the Red Queen: The Selective Maintenance of Allelic Variation in a Deteriorating Environment.

Hamish G SpencerCallum B Walter
Published in: G3 (Bethesda, Md.) (2024)
Although allelic variation is ubiquitous in natural populations, our theoretical models are poor at predicting the existence and properties of these observed polymorphisms. Here, inspired by Van Valen's Red Queen hypothesis, we modelled the effect of viability selection in a deteriorating environment on the properties of allelic variation in populations subject to recurrent mutation. In Monte Carlo simulations, we found that levels of polymorphism consistently built up over time. We censused the simulated populations after 10,000 generations of mutation and selection, revealing that, compared to models assuming a constant environment, the mean number of alleles was greater, as was the range of allele numbers. These results were qualitatively robust to the addition of genetic drift and to relaxing the assumption that the viabilities of phenogenotypes containing a new mutation are independent of each other (i.e., incorporating a model of generalized dominance). The broad range of allele numbers realized in the simulated populations - from monomorphisms to highly polymorphic populations - more closely corresponds to the observed range from numerous surveys of natural populations than previously found in theoretical studies. This match suggests that, contrary to the views of some writers, selection may actively maintain genetic variation in natural populations, particularly if the selective environment is gradually becoming harsher. Our simulations also generated many populations with heterozygote advantage, a mismatch with real data that implies that this selective property must arise extremely rarely in natural populations.
Keyphrases
  • genetic diversity
  • gene expression
  • machine learning
  • big data
  • cross sectional
  • case control