Evidence map›Paper›PMID 33859374›Full record

ReviewNature ecology & evolution2021

Correlational selection in the age of genomics.

Erik I Svensson, Stevan J Arnold, Reinhard Bürger, Katalin Csilléry, Jeremy Draghi, Jonathan M Henshaw, Adam G Jones, Stephen De Lisle, David A Marques, Katrina McGuigan and 2 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature ecology & evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
13.2field-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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 106 citations in OpenAlex.

  1. Interaction between mutation type and gene pleiotropy drives parallel evolution in the laboratory.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Pooled it
  2. Article
  3. A century of theories of balancing selection.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  4. Correlational selection and genetic architecture shape the evolution of the leaf economics spectrum in a perennial grass.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Cryptic Ontogenetic Changes in the Ventral Coloration of a Color Polymorphic Wall Lizard (Podarcis muralis).Journal of experimental zoology. Part A, Ecological and integrative physiology · 2026
    Article
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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

12 authors at 9 institutions in 7 countries.

Erik I SvenssonDepartment of Biology, Lund University, Lund, Sweden. erik.svensson@biol.lu.se.ORCID http://orcid.org/0000-0001-9006-016X
Stevan J ArnoldDepartment of Integrative Biology, Oregon State University, Corvallis, OR, USA.
Reinhard BürgerFaculty of Mathematics, University of Vienna, Vienna, Austria.ORCID http://orcid.org/0000-0003-2174-4968
Katalin CsilléryLand Change Science, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.
Jeremy DraghiDepartment of Biological Sciences, Virginia Tech, Blacksburg, VA, USA.
Jonathan M HenshawDepartment of Biological Sciences, University of Idaho, Moscow, ID, USA.ORCID http://orcid.org/0000-0001-7306-170X
Adam G JonesDepartment of Biological Sciences, University of Idaho, Moscow, ID, USA.
Stephen De LisleDepartment of Biology, Lund University, Lund, Sweden.
David A MarquesDepartment of Fish Ecology and Evolution, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum, Switzerland.
Katrina McGuiganSchool of Biological Sciences, The University of Queensland, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0002-0525-2202
Monique N SimonDepartment of Integrative Biology, Oregon State University, Corvallis, OR, USA.
Anna RunemarkDepartment of Biology, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0002-8976-5530
Lund University · SEOregon State University · USUniversity of Idaho · USSwiss Federal Institute for Forest, Snow and Landscape Research · CHThe University of Queensland · AUUniversity of Bern · CHUniversity of Connecticut · USUniversity of Vienna · ATVirginia Tech · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ecologists and evolutionary biologists are well aware that natural and sexual selection do not operate on traits in isolation, but instead act on combinations of traits. This long-recognized and pervasive phenomenon is known as multivariate selection, or-in the particular case where it favours correlations between interacting traits-correlational selection. Despite broad acknowledgement of correlational selection, the relevant theory has often been overlooked in genomic research. Here, we discuss theory and empirical findings from ecological, quantitative genetic and genomic research, linking key insights from different fields. Correlational selection can operate on both discrete trait combinations and quantitative characters, with profound implications for genomic architecture, linkage, pleiotropy, evolvability, modularity, phenotypic integration and phenotypic plasticity. We synthesize current knowledge and discuss promising research approaches that will enable us to understand how correlational selection shapes genomic architecture, thereby linking quantitative genetic approaches with emerging genomic methods. We suggest that research on correlational selection has great potential to integrate multiple fields in evolutionary biology, including developmental and functional biology, ecology, quantitative genetics, phenotypic polymorphisms, hybrid zones and speciation processes.

Indexed as

GenomicsSelection, GeneticBiological EvolutionGenomePhenotype

Identifiers

PMID33859374
OpenAlexW3156708020

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.