Evidence map›Paper›PMID 28319339›Full record

ArticleMolecular ecology resources2017

Unbroken: RADseq remains a powerful tool for understanding the genetics of adaptation in natural populations.

Julian M Catchen, Paul A Hohenlohe, Louis Bernatchez, W Chris Funk, Kimberly R Andrews, Fred W Allendorf

Abstract readLetterComment
PubMed Publisher
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 76 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 1 pooled it
25.5field-weighted citation impact, top 1% of its field
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

76 citing papers in PubMed, 1 synthesis or guideline pooled it, 244 citations in OpenAlex.

  1. Pooled it
  2. Assessing differences among elasmobranch nurseries to aid conservation based on a genomics framework.Conservation biology : the journal of the Society for Conservation Biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Endangered Pinto/Northern Abalone (Evolutionary applications · 2024
    Article
  15. Computational Genomics and Its Applications to Anthropological Questions.American journal of biological anthropology · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

16 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 2 countries.

Julian M CatchenDepartment of Animal Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.ORCID 0000-0002-4798-660X
Paul A HohenloheDepartment of Biological Sciences, Institute for Bioinformatics and Evolutionary Studies, University of Idaho, 875 Perimeter Drive, Moscow, ID, 83844, USA.
Louis BernatchezInstitut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, G1V 0A6, Canada.
W Chris FunkDepartment of Biology, Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, 80523, USA.
Kimberly R AndrewsDepartment of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, ID, 83844, USA.
Fred W AllendorfDivision of Biological Sciences, University of Montana, Missoula, MT, 59812, USA.
University of Idaho · USColorado State University · USUniversité Laval · CAUniversity of Illinois Urbana-Champaign · USUniversity of Montana · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, Lowry et al. addressed the ability of RADseq approaches to detect loci under selection in genome scans. While the authors raise important considerations, such as accounting for the extent of linkage disequilibrium in a study system, we strongly disagree with their overall view of the ability of RADseq to inform our understanding of the genetic basis of adaptation. The family of RADseq protocols has radically improved the field of population genomics, expanding by several orders of magnitude the number of markers available while substantially reducing the cost per marker. Researchers whose goal is to identify regions of the genome under selection must consider the LD of the experimental system; however, there is no magical LD cutoff below which researchers should refuse to use RADseq. Lowry et al. further made two major arguments: a theoretical argument that modeled the likelihood of detecting selective sweeps with RAD markers, and gross summaries based on an anecdotal collection of RAD studies. Unfortunately, their simulations were off by two orders of magnitude in the worst case, while their anecdotes merely showed that it is possible to get widely divergent densities of RAD tags for any particular experiment, either by design or due to experimental efficacy. We strongly argue that RADseq remains a powerful and efficient approach that provides sufficient marker density for studying selection in many natural populations. Given limited resources, we argue that researchers should consider a wide range of trade-offs among genomic techniques, in light of their study question and the power of different techniques to answer it.

Indexed as

Adaptation, PhysiologicalGenomicsBase SequenceLinkage DisequilibriumSequence Analysis, DNAgenome scanlinkage disequilibriumRADseqselection

Identifiers

PMID28319339
OpenAlexW2602027520

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.