Evidence map›Paper›PMID 21106581›Full record

ArticleProceedings. Biological sciences2011

Evolution of adaptive phenotypic variation patterns by direct selection for evolvability.

Mihaela Pavlicev, James M Cheverud, Günter P Wagner

Open access · greenAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
4.4field-weighted citation impact, top 5% 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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 136 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. The variability of evolvability: Properties of dynamic fitness landscapes determine how phenotypic variability evolves.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Longitudinal sequencing reveals polygenic and epistatic nature of genomic response to selection.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Understanding developmental system drift.Development (Cambridge, England) · 2024
    Review
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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

3 authors at 2 institutions in 1 country.

Mihaela PavlicevDepartment of Anatomy and Neurobiology, Washington University, 660 South Euclid Avenue, PO Box 8108, St Louis, MO 63110, USA. mihaela.pavlicev@bio.uio.no
James M Cheverud
Günter P Wagner
Washington University in St. Louis · USYale University · US

Funding

Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Brian N Finck · 1999 to 2026
$30.2M
Variable DNA sites predicting interindividual variation in health measuresP50GM065509 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SING, CHARLES · 2001 to 2011
$27.5M
Genetics Basis of Dietary Obesity in MiceR01DK055736 · NIDDK · WASHINGTON UNIVERSITY · PI CHEVERUD, JAMES M · 2000 to 2009
$2.1M
GENETIC VARIATION IN MURINE LONG BONE GROWTH AND DEVELOPMENTR01AR053224 · NIAMS · WASHINGTON UNIVERSITY · PI CHEVERUD, JAMES M · 2006 to 2010
$1.6M
GENETIC BASIS OF DIETARY OBESITY IN MICER56DK055736 · NIDDK · WASHINGTON UNIVERSITY · PI CHEVERUD, JAMES M · 2010 to 2010
$354k
NIAMS NIH HHS AR053224NIAMS NIH HHS R01 AR053224NIDDK NIH HHS DK055736NIDDK NIH HHS P30 DK056341NIDDK NIH HHS R01 DK055736NIDDK NIH HHS R56 DK055736NIGMS NIH HHS GM065509NIGMS NIH HHS P50 GM065509
6 · The paper itself

Abstract

A basic assumption of the Darwinian theory of evolution is that heritable variation arises randomly. In this context, randomness means that mutations arise irrespective of the current adaptive needs imposed by the environment. It is broadly accepted, however, that phenotypic variation is not uniformly distributed among phenotypic traits, some traits tend to covary, while others vary independently, and again others barely vary at all. Furthermore, it is well established that patterns of trait variation differ among species. Specifically, traits that serve different functions tend to be less correlated, as for instance forelimbs and hind limbs in bats and humans, compared with the limbs of quadrupedal mammals. Recently, a novel class of genetic elements has been identified in mouse gene-mapping studies that modify correlations among quantitative traits. These loci are called relationship loci, or relationship Quantitative Trait Loci (rQTL), and affect trait correlations by changing the expression of the existing genetic variation through gene interaction. Here, we present a population genetic model of how natural selection acts on rQTL. Contrary to the usual neo-Darwinian theory, in this model, new heritable phenotypic variation is produced along the selected dimension in response to directional selection. The results predict that selection on rQTL leads to higher correlations among traits that are simultaneously under directional selection. On the other hand, traits that are not simultaneously under directional selection are predicted to evolve lower correlations. These results and the previously demonstrated existence of rQTL variation, show a mechanism by which natural selection can directly enhance the evolvability of complex organisms along lines of adaptive change.

Indexed as

Biological EvolutionGenetic VariationModels, GeneticQuantitative Trait LociSelection, GeneticAnimalsComputer SimulationMicePhenotypeQuantitative Trait, Heritable

Identifiers

PMID21106581
PMCPMC3097830
OpenAlexW2030380201

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.