Identifying the complete set of functional elements within the human genome would be a windfall for multiple areas of biological research includingmedicine, molecular biology, and evolution.Complete knowledge of functionwould aid in the prioritization of loci when searching for the genetic bases of disease or adaptive phenotypes. Becausemutations that disrupt function are disfavored by natural selection, purifying selection leaves a detectable signature within functional elements; accordingly, this signal has been exploited for over a decade through the use of genomic comparisons of distantly related species. While this is so, the functional complement of the genome changes extensively across time and between lineages; therefore, evidence of the current action of purifying selection in humans is essential. Because the removal of deleterious mutations by natural selection also reduces withinspecies genetic diversity within functional loci, dense population genetic data have the potential to reveal genomic elements that are currently functional. Here, we assess the potential of this approach by examining an ultradeep sample of human mitochondrial genomes (n=16,411). We show that the high density of polymorphism in this data set precisely delineates regions experiencing purifying selection. Furthermore, we show that the number of segregating alleles at a site is strongly correlated with its divergence across species after accounting for known mutational biases in human mitochondrial DNA (ρ=0.51; P<2.2×10 -16). These two measures track one another at a remarkably fine scale acrossmany loci-a correlation that is purely the result of natural selection. Our results demonstrate that genetic variation has the potential to reveal with surprising precision which regions in the genome are currently performing important functions and likely to have deleterious fitness effects when mutated. As more complete human genomes are sequenced, similar power to reveal purifying selection may be achievable in the human nuclear genome. © The Author(s) 2014.
CITATION STYLE
Schrider, D. R., & Kern, A. D. (2014). Discovering functional DNA elements using population genomic information: A proof of concept using human mtDNA. Genome Biology and Evolution, 6(7), 1542–1548. https://doi.org/10.1093/gbe/evu116
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