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Evolutionary Genomics

Volume 856 of the series Methods in Molecular Biology pp 141-159

Date:

Methods to Detect Selection on Noncoding DNA

  • Ying ZhenAffiliated withDepartment of Ecology and Evolutionary Biology, The Lewis-Sigler Institute for Integrative Genomics, Princeton University
  • , Peter AndolfattoAffiliated withDepartment of Ecology and Evolutionary Biology, The Lewis-Sigler Institute for Integrative Genomics, Princeton University Email author 

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Abstract

Vast tracts of noncoding DNA contain elements that regulate gene expression in higher eukaryotes. Describing these regulatory elements and understanding how they evolve represent major challenges for biologists. Advances in the ability to survey genome-scale DNA sequence data are providing unprecedented opportunities to use evolutionary models and computational tools to identify functionally important elements and the mode of selection acting on them in multiple species. This chapter reviews some of the current methods that have been developed and applied on noncoding DNA, what they have shown us, and how they are limited. Results of several recent studies reveal that a significantly larger fraction of noncoding DNA in eukaryotic organisms is likely to be functional than previously believed, implying that the functional annotation of most noncoding DNA in these organisms is largely incomplete. In Drosophila, recent studies have further suggested that a large fraction of noncoding DNA divergence observed between species may be the product of recurrent adaptive substitution. Similar studies in humans have revealed a more complex pattern, with signatures of recurrent positive selection being largely concentrated in conserved noncoding DNA elements. Understanding these patterns and the extent to which they generalize to other organisms awaits the analysis of forthcoming genome-scale polymorphism and divergence data from more species.

Key words

Adaptive evolution Neutrality test Selective constraint Deleterious mutations McDonald–Kreitman test Population genetics