Evidence map›Paper›PMID 33216740›Full record

ArticlePLoS genetics2020

Unique genetic signatures of local adaptation over space and time for diapause, an ecologically relevant complex trait, in Drosophila melanogaster.

Priscilla A Erickson, Cory A Weller, Daniel Y Song, Alyssa S Bangerter, Paul Schmidt, Alan O Bergland

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. Naturally Occurring Variability in the Regulatory Region of theInternational journal of molecular sciences · 2026
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  8. Evolution letters · 2025
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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

6 authors at 2 institutions in 1 country.

Priscilla A EricksonDepartment of Biology, University of Virginia, Charlottesville, Virginia, United States of America.ORCID 0000-0001-8420-995X
Cory A WellerDepartment of Biology, University of Virginia, Charlottesville, Virginia, United States of America.ORCID 0000-0001-6965-5599
Daniel Y SongDepartment of Biology, University of Virginia, Charlottesville, Virginia, United States of America.ORCID 0000-0002-1887-1408
Alyssa S BangerterDepartment of Biology, University of Virginia, Charlottesville, Virginia, United States of America.
Paul SchmidtDepartment of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0002-8076-6705
Alan O BerglandDepartment of Biology, University of Virginia, Charlottesville, Virginia, United States of America.ORCID 0000-0001-7145-7575
University of Virginia · USUniversity of Pennsylvania · US

Funding

Genomics of rapid adaptation on seasonal timescales in D. melanogasterR01GM100366 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI SCHMIDT, PAUL · 2012 to 2019
$3.3M
The genetic and physiological architecture of rapid and cyclic adaptationR35GM119686 · NIGMS · UNIVERSITY OF VIRGINIA · PI BERGLAND, ALAN OLAV · 2016 to 2020
$1.9M
NIGMS NIH HHS R01 GM100366NIGMS NIH HHS R35 GM119686
6 · The paper itself

Abstract

Organisms living in seasonally variable environments utilize cues such as light and temperature to induce plastic responses, enabling them to exploit favorable seasons and avoid unfavorable ones. Local adapation can result in variation in seasonal responses, but the genetic basis and evolutionary history of this variation remains elusive. Many insects, including Drosophila melanogaster, are able to undergo an arrest of reproductive development (diapause) in response to unfavorable conditions. In D. melanogaster, the ability to diapause is more common in high latitude populations, where flies endure harsher winters, and in the spring, reflecting differential survivorship of overwintering populations. Using a novel hybrid swarm-based genome wide association study, we examined the genetic basis and evolutionary history of ovarian diapause. We exposed outbred females to different temperatures and day lengths, characterized ovarian development for over 2800 flies, and reconstructed their complete, phased genomes. We found that diapause, scored at two different developmental cutoffs, has modest heritability, and we identified hundreds of SNPs associated with each of the two phenotypes. Alleles associated with one of the diapause phenotypes tend to be more common at higher latitudes, but these alleles do not show predictable seasonal variation. The collective signal of many small-effect, clinally varying SNPs can plausibly explain latitudinal variation in diapause seen in North America. Alleles associated with diapause are segregating in Zambia, suggesting that variation in diapause relies on ancestral polymorphisms, and both pro- and anti-diapause alleles have experienced selection in North America. Finally, we utilized outdoor mesocosms to track diapause under natural conditions. We found that hybrid swarms reared outdoors evolved increased propensity for diapause in late fall, whereas indoor control populations experienced no such change. Our results indicate that diapause is a complex, quantitative trait with different evolutionary patterns across time and space.

Indexed as

Biological EvolutionAcclimatizationAllelesAltitudeAnimalsClimateDiapause, InsectDrosophila melanogasterFemaleGene Expression Regulation, DevelopmentalGenome, InsectGenome-Wide Association StudyMultifactorial InheritanceNorth AmericaQuantitative Trait LociSeasons

Identifiers

PMID33216740
PMCPMC7717581
OpenAlexW3102206080

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.