Breaking RAD: an evaluation of the utility of restriction site‐associated DNA sequencing for genome scans of adaptation

Abstract

Understanding how and why populations evolve is of fundamental importance to molecular ecology. Restriction site‐associated DNA sequencing (RADseq), a popular reduced representation method, has ushered in a new era of genome‐scale research for assessing population structure, hybridization, demographic history, phylogeography and migration. RADseq has also been widely used to conduct genome scans to detect loci involved in adaptive divergence among natural populations. Here, we examine the capacity of those RADseq‐based genome scan studies to detect loci involved in local adaptation. To understand what proportion of the genome is missed by RADseq studies, we developed a simple model using different numbers of RAD‐tags, genome sizes and extents of linkage disequilibrium (length of haplotype blocks). Under the best‐case modelling scenario, we found that RADseq using six‐ or eight‐base pair cutting restriction enzymes would fail to sample many regions of the genome, especially for species with short linkage disequilibrium. We then surveyed recent studies that have used RADseq for genome scans and found that the median density of markers across these studies was 4.08 RAD‐tag markers per megabase (one marker per 245 kb). The length of linkage disequilibrium for many species is one to three orders of magnitude less than density of the typical recent RADseq study. Thus, we conclude that genome scans based on RADseq data alone, while useful for studies of neutral genetic variation and genetic population structure, will likely miss many loci under selection in studies of local adaptation.

Document Details

Document Type
Pub Defense Publication
Publication Date
Dec 16, 2016
Source ID
10.1111/1755-0998.12635

Entities

People

  • Andrew Storfer
  • David B Lowry
  • Joanna L. Kelley
  • Katie E. Lotterhos
  • Laura K. Reed
  • Michael F. Antolin
  • Sean Hoban

Organizations

  • Army Research Office
  • Colorado State University
  • Michigan State University
  • Morton Arboretum
  • National Institute for Mathematical and Biological Synthesis
  • National Institutes of Health
  • National Science Foundation
  • Northeastern University
  • University of Alabama
  • Washington State University

Tags

Fields of Study

  • Biology

Readers

  • Molecular and genetic basis of cancer.
  • Regression Analysis.
  • Strategic Security Studies

Technology Areas

  • Biotechnology