Evidence map›Paper›PMID 38620076›Full record

ArticleGenome biology and evolution2024

Evolution of Phenotypic Variance Provides Insights into the Genetic Basis of Adaptation.

Wei-Yun Lai, Viola Nolte, Ana Marija Jakšić, Christian Schlötterer

Abstract read
In one paragraph

Article in Genome biology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Genetic Polymorphism RevealsAnimals : an open access journal from MDPI · 2025
    Article
  3. 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

4 authors.

Wei-Yun LaiInstitut für Populationsgenetik, Vetmeduni Vienna, Vienna, Austria.ORCID 0000-0002-5101-8695
Viola NolteInstitut für Populationsgenetik, Vetmeduni Vienna, Vienna, Austria.
Ana Marija JakšićInstitut für Populationsgenetik, Vetmeduni Vienna, Vienna, Austria.
Christian SchlöttererInstitut für Populationsgenetik, Vetmeduni Vienna, Vienna, Austria.ORCID 0000-0003-4710-6526

Funding

European Research Council
6 · The paper itself

Abstract

Most traits are polygenic, and the contributing loci can be identified by genome-wide association studies. The genetic basis of adaptation (adaptive architecture) is, however, difficult to characterize. Here, we propose to study the adaptive architecture of traits by monitoring the evolution of their phenotypic variance during adaptation to a new environment in well-defined laboratory conditions. Extensive computer simulations show that the evolution of phenotypic variance in a replicated experimental evolution setting can distinguish between oligogenic and polygenic adaptive architectures. We compared gene expression variance in male Drosophila simulans before and after 100 generations of adaptation to a novel hot environment. The variance change in gene expression was indistinguishable for genes with and without a significant change in mean expression after 100 generations of evolution. We suggest that the majority of adaptive gene expression evolution can be explained by a polygenic architecture. We propose that tracking the evolution of phenotypic variance across generations can provide an approach to characterize the adaptive architecture.

Indexed as

Multifactorial InheritancePhenotypeAdaptation, PhysiologicalAnimalsBiological EvolutionComputer SimulationDrosophilaDrosophila simulansEvolution, MolecularMaleDrosophila simulansexperimental evolutionphenotypic variancetemperature adaptation

Identifiers

PMID38620076
PMCPMC11057206

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Registered trials

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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.