Stephen I. Wright | bioRxiv Science

bioRxiv2015

Coalescent times and patterns of genetic diversity in species with facultative sex: effects of gene conversion, population structure and heterogeneity

Many diploid organisms undergo facultative sexual reproduction. However, little is currently known concerning the distribution of neutral genetic variation amongst facultative sexuals except in very simple cases. Under-standing this distribution is important when making inferences about rates of sexual reproduction, effective population size and demographic history. Here, we extend coalescent theory in diploids with facultative sex to consider gene conversion, selfing, population subdivision, and temporal and spatial heterogeneity in rates of sex. In addition to analytical results for two-sample coalescent times, we outline a coalescent algorithm that accommodates the complexities arising from partial sex; this algorithm can be used to generate multi-sample coalescent distributions. A key result is that when sex is rare, gene conversion becomes a significant force in reducing diversity within individuals, which can remove genomic signatures of infrequent sex (the Meselson Effect) or entirely reverse the predictions. Our models offer improved methods for assessing the null model (I.e. neutrality) of patterns of molecular variation in facultative sexuals.

Evolutionary Biology↗

bioRxiv2015

Association mapping reveals the role of mutation-selection balance in the maintenance of genomic variation for gene expression.

The evolutionary forces that maintain genetic variation for quantitative traits within populations remain poorly understood. One hypothesis suggests that variation is maintained by a balance between new mutations and their removal by selection and drift. Theory predicts that this mutation-selection balance will result in an excess of low-frequency variants and a negative correlation between minor allele frequency and selection coefficients. Here, we test these predictions using the genetic loci associated with total expression variation (eQTLs) and allele-specific expression variation (aseQTLs) mapped within a single population of the plant Capsella grandiflora. In addition to finding eQTLs and aseQTLs for a large fraction of genes, we show that alleles at these loci are rarer than expected and exhibit a negative correlation between phenotypic effect size and frequency. Overall, our results show that the distribution of frequencies and effect sizes of the loci responsible for local expression variation within a single, outcrossing population are consistent with mutation-selection balance.\n\nSignificanceBiologists have long sought to explain why we see genetic variation for traits in populations despite the expectation that selection will remove most variation. We address this question by using gene expression as a model trait and identifying the genetic loci that affect gene expression in a single, large population of the plant Capsella grandiflora. Alleles at loci that affect expression were rarer than expected by chance and there was a negative correlation between phenotypic effect size and frequency of these alleles. These observations are consistent with mutation-selection balance, the hypothesis that variation is maintained by a balance between new mutations and their removal by selection and drift.

Evolutionary Biology↗