Evaluating the Utility of Microsatellites for Investigations of Autopolyploid Taxa

Autopolyploid taxa present numerous challenges for population genetic analyses due to difficulties determining allele dosage. Dosage ambiguity hinders accurate assessment of allele frequencies, multilocus genotypes (MLGTs), as well as levels and patterns of clonality. The pervasiveness of polyploidy in the evolutionary history of plant taxa makes this a recurring problem. Whereas diploidization of loci may occur over time, duplication of at least some loci is still frequently evident. Fortunately, with high-quality allozyme gels, it is possible to accurately infer allele dosage and, thus, determine exact MLGTs. However, accurately assessing dosage of microsatellite peaks is nearly impossible when studying wild populations with a large number of alleles per locus. Even if precise knowledge of genotypes is not required, for comparable numbers of alleles per locus and loci, the number of "phenotypes" is always lower with microsatellites than allozymes due to the inability to assess allele dosage. Microsatellite loci typically have more alleles per locus relative to allozymes although fewer loci are generally employed. Here, we present a mathematical model for comparing the relative utility of simple sequence repeat (SSR) versus allozyme markers to discriminate MLGTs. For example, the average plant allozyme study (2.6 alleles per locus, 10 polymorphic loci) has better discriminating power than SSR markers with 10 alleles at each of 3 loci, 9 alleles at 4 loci, 6 alleles at 5 loci, 5 alleles at 6 loci, and 4 alleles at 8 loci, demonstrating the value of assessing the relative discriminating power of these markers.