Evidence map›Paper›PMID 31399719›Full record

ReviewHeredity2020

The population genetics of crypsis in vertebrates: recent insights from mice, hares, and lizards.

Rebecca B Harris, Kristen Irwin, Matthew R Jones, Stefan Laurent, Rowan D H Barrett, Michael W Nachman, Jeffrey M Good, Catherine R Linnen, Jeffrey D Jensen, Susanne P Pfeifer

Abstract readReview
In one paragraph

Review in Heredity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. How predictable is adaptation from standing genetic variation? Experimental evolution inPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  4. Article
  5. Article
  6. Review
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Rebecca B HarrisSchool of Life Sciences, Arizona State University, Tempe, AZ, USA. rharri35@asu.edu.
Kristen IrwinSchool of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Matthew R JonesSchool of Life Sciences, Arizona State University, Tempe, AZ, USA.
Stefan LaurentDepartment of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany.
Rowan D H BarrettRedpath Museum and Department of Biology, McGill University, Montréal, QC, Canada.
Michael W NachmanDepartment of Integrative Biology and Museum of Vertebrate Zoology, University of California Berkeley, Berkeley, CA, USA.
Jeffrey M GoodDivision of Biological Sciences and Wildlife Biology Program, University of Montana, Missoula, MT, USA.
Catherine R LinnenDepartment of Biology, University of Kentucky, Lexington, KY, USA.
Jeffrey D JensenSchool of Life Sciences, Arizona State University, Tempe, AZ, USA.
Susanne P PfeiferSchool of Life Sciences, Arizona State University, Tempe, AZ, USA.ORCID http://orcid.org/0000-0003-1378-2913

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By combining well-established population genetic theory with high-throughput sequencing data from natural populations, major strides have recently been made in understanding how, why, and when vertebrate populations evolve crypsis. Here, we focus on background matching, a particular facet of crypsis that involves the ability of an organism to conceal itself through matching its color to the surrounding environment. While interesting in and of itself, the study of this phenotype has also provided fruitful population genetic insights into the interplay of strong positive selection with other evolutionary processes. Specifically, and predicated upon the findings of previous candidate gene association studies, a primary focus of this recent literature involves the realization that the inference of selection from DNA sequence data first requires a robust model of population demography in order to identify genomic regions which do not conform to neutral expectations. Moreover, these demographic estimates provide crucial information about the origin and timing of the onset of selective pressures associated with, for example, the colonization of a novel environment. Furthermore, such inference has revealed crypsis to be a particularly useful phenotype for investigating the interplay of migration and selection-with examples of gene flow constraining rates of adaptation, or alternatively providing the genetic variants that may ultimately sweep through the population. Here, we evaluate the underlying evidence, review the strengths and weaknesses of the many population genetic methodologies used in these studies, and discuss how these insights have aided our general understanding of the evolutionary process.

Indexed as

Biological EvolutionGenetics, PopulationAdaptation, PhysiologicalAnimalsGene FlowHaresLizardsPeromyscusPhenotypePigmentationSelection, Genetic

Identifiers

PMID31399719
PMCPMC6906368

What OpenQuestion holds

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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.