Evidence map›Paper›PMID 30122150›Full record

ArticleGenome biology2018

A simple genetic basis of adaptation to a novel thermal environment results in complex metabolic rewiring in Drosophila.

François Mallard, Viola Nolte, Ray Tobler, Martin Kapun, Christian Schlötterer

Abstract read
In one paragraph

Article in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

61 citing papers in PubMed.

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  9. The evolution of thermal performance curves in response to rising temperatures across the model genus yeast.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  15. Experimental Evolution in a Warming World: The Omics Era.Molecular biology and evolution · 2024
    Review
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  19. Temperature and nutrition do not interact to shape the evolution of metabolic rate.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  20. Article

1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

François MallardInstitut für Populationsgenetik, Vetmeduni Vienna, Vienna, Austria.
Viola NolteInstitut für Populationsgenetik, Vetmeduni Vienna, Vienna, Austria.
Ray ToblerInstitut für Populationsgenetik, Vetmeduni Vienna, Vienna, Austria.
Martin KapunInstitut für Populationsgenetik, Vetmeduni Vienna, Vienna, Austria.
Christian SchlöttererInstitut für Populationsgenetik, Vetmeduni Vienna, Vienna, Austria. christian.schloetterer@vetmeduni.ac.at.ORCID 0000-0003-4710-6526

Funding

Austrian Science Fund W1225Austrian Science Fund FWF W 1225European Research Council 294485FP7 Ideas: European Research Council ArchAdaptH2020 Marie Skłodowska-Curie Actions H2020-MSCA-IF-661149
6 · The paper itself

Abstract

backgroundPopulation genetic theory predicts that rapid adaptation is largely driven by complex traits encoded by many loci of small effect. Because large-effect loci are quickly fixed in natural populations, they should not contribute much to rapid adaptation.

resultsTo investigate the genetic architecture of thermal adaptation - a highly complex trait - we performed experimental evolution on a natural Drosophila simulans population. Transcriptome and respiration measurements reveal extensive metabolic rewiring after only approximately 60 generations in a hot environment. Analysis of genome-wide polymorphisms identifies two interacting selection targets, Sestrin and SNF4Aγ, pointing to AMPK, a central metabolic switch, as a key factor for thermal adaptation.

conclusionsOur results demonstrate that large-effect loci segregating at intermediate allele frequencies can allow natural populations to rapidly respond to selection. Because SNF4Aγ also exhibits clinal variation in various Drosophila species, we suggest that this large-effect polymorphism is maintained by temporal and spatial temperature variation in natural environments.

Indexed as

TemperatureAdaptation, PhysiologicalAnimalsAustraliaDrosophilaDrosophila ProteinsFemaleGenetic LociGenome, InsectNorth AmericaPhenotypeDrosophila ProteinsEvolve and resequenceExperimental evolutionPool-SeqRNASeqThermal adaptation

Identifiers

PMID30122150
PMCPMC6100727

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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.