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Comparisons between QST and FST—how wrong have we been?

Authors: Edelaar, Pim; Burraco, Pablo; Gómez-Mestre, Iván;

Comparisons between QST and FST—how wrong have we been?

Abstract

The comparison between quantitative genetic divergence (QST) and neutral genetic divergence (FST) among populations has become the standard test for historical signatures of selection on quantitative traits. However, when the mutation rate of neutral markers is relatively high in comparison with gene flow, estimates of FST will decrease, resulting in upwardly biased comparisons of QST vs. FST. Reviewing empirical studies, the difference between QST and FST is positively related to marker heterozygosity. After refuting alternative explanations for this pattern, we conclude that marker mutation rate indeed has had a biasing effect on published QST–FST comparisons. Hence, it is no longer clear that populations have commonly diverged in response to divergent selection. We present and discuss potential solutions to this bias. Comparing QST with recent indices of neutral divergence that statistically correct for marker heterozygosity (Hedrick’s G′st and Jost’s D) is not advised, because these indices are not theoretically equivalent to QST. One valid solution is to estimate FST from neutral markers with mutation rates comparable to those of the loci underlying quantitative traits (e.g. SNPs). QST can also be compared to ΦST (PhiST) of amova, as long as the genetic distance among allelic variants used to estimate ΦST reflects evolutionary history: in that case, neutral divergence is independent of mutation rate. In contrast to their common usage in comparisons of QST and FST, microsatellites typically have high mutation rates and do not evolve according to a simple evolutionary model, so are best avoided in QST–FST comparisons.

Peer reviewed

Keywords

Divergent selection, FST, neutral marker mutation rate, QST, microsatellites

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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