Evidence map›Paper›PMID 35578368›Full record

ArticleGenome biology2022

Natural variation in Drosophila shows weak pleiotropic effects.

Eirini Christodoulaki, Viola Nolte, Wei-Yun Lai, Christian Schlötterer

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2022. 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
1.1field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

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  5. How predictable is adaptation from standing genetic variation? Experimental evolution inPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    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

4 authors at 1 institution in 1 country.

Eirini ChristodoulakiInstitut für Populationsgenetik, Vetmeduni Vienna, 1210, Vienna, Austria.
Viola NolteInstitut für Populationsgenetik, Vetmeduni Vienna, 1210, Vienna, Austria.
Wei-Yun LaiInstitut für Populationsgenetik, Vetmeduni Vienna, 1210, Vienna, Austria.
Christian SchlöttererInstitut für Populationsgenetik, Vetmeduni Vienna, 1210, Vienna, Austria. Christian.schloetterer@vetmeduni.ac.at.ORCID 0000-0003-4710-6526
TU Wien · AT

Funding

Austrian Science Fund FWF W 1225
6 · The paper itself

Abstract

backgroundPleiotropy describes the phenomenon in which a gene affects multiple phenotypes. The extent of pleiotropy is still disputed, mainly because of issues of inadequate power of analyses. A further challenge is that empirical tests of pleiotropy are restricted to a small subset of all possible phenotypes. To overcome these limitations, we propose a new measurement of pleiotropy that integrates across many phenotypes and multiple generations to improve power.

resultsWe infer pleiotropy from the fitness cost imposed by frequency changes of pleiotropic loci. Mixing Drosophila simulans populations, which adapted independently to the same new environment using different sets of genes, we show that the adaptive frequency changes have been accompanied by measurable fitness costs.

conclusionsUnlike previous studies characterizing the molecular basis of pleiotropy, we show that many loci, each of weak effect, contribute to genome-wide pleiotropy. We propose that the costs of pleiotropy are reduced by the modular architecture of gene expression, which facilitates adaptive gene expression changes with low impact on other functions.

Indexed as

DrosophilaGenetic PleiotropyAdaptation, PhysiologicalAnimalsPhenotypeDominanceDrosophilaExperimental evolutionPleiotropyPolygenic adaptationPool-SeqTrait optimum

Identifiers

PMID35578368
PMCPMC9109288
OpenAlexW4280499951

What OpenQuestion holds

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LicenceCC BY
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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.