Evidence map›Paper›PMID 24898080›Full record

ArticleEvolution; international journal of organic evolution2014

Fisher's geometric model with a moving optimum.

Sebastian Matuszewski, Joachim Hermisson, Michael Kopp

Abstract read
In one paragraph

Article in Evolution; international journal of organic evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Connections between sequential Bayesian inference and evolutionary dynamics.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    Article
  4. Fisher's Geometric Model as a Tool to Study Speciation.Cold Spring Harbor perspectives in biology · 2024
    Review
  5. Evolutionary rescue on genotypic fitness landscapes.Journal of the Royal Society, Interface · 2023
    Article
  6. Article
  7. Article
  8. Evolutionary repeatability of emergent properties of ecological communities.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  9. The geometry of evolutionary conflict.Proceedings. Biological sciences · 2023
    Article
  10. Article
  11. The diverse effects of phenotypic dominance on hybrid fitness.Evolution; international journal of organic evolution · 2022
    Article
  12. Biological adaptation in light of the Lewontin-Williams (a)symmetry.Evolution; international journal of organic evolution · 2022
    Article
  13. Evolution in small steps and giant leaps.Evolution; international journal of organic evolution · 2022
    Review
  14. The geometry and genetics of hybridization.Evolution; international journal of organic evolution · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Surfing on the seascape: Adaptation in a changing environment.Evolution; international journal of organic evolution · 2019
    Article
  20. Article
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.

Sebastian MatuszewskiMathematics and BioSciences Group, Faculty of Mathematics, University of Vienna, Oskar-Morgenstern-Platz 1, A-1090, Vienna, Austria. Sebastian.Matuszewski@univie.ac.at.
Joachim Hermisson
Michael Kopp

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fisher's geometric model has been widely used to study the effects of pleiotropy and organismic complexity on phenotypic adaptation. Here, we study a version of Fisher's model in which a population adapts to a gradually moving optimum. Key parameters are the rate of environmental change, the dimensionality of phenotype space, and the patterns of mutational and selectional correlations. We focus on the distribution of adaptive substitutions, that is, the multivariate distribution of the phenotypic effects of fixed beneficial mutations. Our main results are based on an "adaptive-walk approximation," which is checked against individual-based simulations. We find that (1) the distribution of adaptive substitutions is strongly affected by the ecological dynamics and largely depends on a single composite parameter γ, which scales the rate of environmental change by the "adaptive potential" of the population; (2) the distribution of adaptive substitution reflects the shape of the fitness landscape if the environment changes slowly, whereas it mirrors the distribution of new mutations if the environment changes fast; (3) in contrast to classical models of adaptation assuming a constant optimum, with a moving optimum, more complex organisms evolve via larger adaptive steps.

Indexed as

Biological EvolutionModels, GeneticPhenotypeSelection, GeneticAdaptation, PhysiologicalEnvironmentGenetic PleiotropyGenetics, PopulationMutationTime FactorsAdaptationmodels/simulationsmutationspleiotropypopulation geneticsselection-natural

Identifiers

PMID24898080
PMCPMC4285815

What OpenQuestion holds

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LicenceCC BY
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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.