Evidence map›Paper›PMID 27860289›Full record

ArticleMolecular ecology resources2017

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

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

Abstract readEvaluation StudyNews
In one paragraph

Article in Molecular ecology resources, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 171 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
171citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

171 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  19. vcfsim: flexible simulation of all-sites VCFs with missing data.bioRxiv : the preprint server for biology · 2025
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111 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

David B LowryPlant Biology Laboratories, Department of Plant Biology, Michigan State University, 612 Wilson Road, Room 166, East Lansing, MI, 48824, USA.
Sean HobanThe Morton Arboretum, Lisle, IL, USA.
Joanna L KelleySchool of Biological Sciences, Washington State University, Pullman, WA, 99164, USA.
Katie E LotterhosDepartment of Marine and Environmental Sciences, Northeastern University Marine Science Center, 430 Nahant Rd., Nahant, MA, 01908, USA.
Laura K ReedDepartment of Biological Sciences, University of Alabama, Tuscaloosa, AL, 35406, USA.
Michael F AntolinDepartment of Biology, Colorado State University, Fort Collins, CO, 80523-1878, USA.
Andrew StorferSchool of Biological Sciences, Washington State University, Pullman, WA, 99164, USA.

Funding

Genetic Basis of Genotype-by-Environment Interactions Underlying Physiological MoR01GM098856 · NIGMS · UNIVERSITY OF ALABAMA IN TUSCALOOSA · PI MOTSINGER-REIF, ALISON, REED, LAURA K · 2011 to 2015
$1.3M
NIGMS NIH HHS R01 GM098856
6 · The paper itself

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.

Indexed as

Adaptation, BiologicalGenetic VariationComputational BiologyDNADNA Restriction EnzymesGenetics, PopulationGenomicsLinkage DisequilibriumSequence Analysis, DNADNADNA Restriction EnzymesF STgenome-environment associationgenome scangenotyping by sequencinglocal adaptationoutlier analysis

Identifiers

PMID27860289
PMCPMC5446919

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.