Evidence map›Paper›PMID 41877362›Full record

ArticleEcology letters2026

Pervasive Fitness Trade-Offs Revealed by Rapid Adaptation to Shifting Population Densities in Large Experimental Populations of Drosophila melanogaster.

M C Bitter, S Greenblum, S Rajpurohit, A O Bergland, J A Hemker, E Lappo, N J Betancourt, S Tilk, S Berardi, H Oken and 2 more

Abstract read
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In one paragraph

Article in Ecology letters, 2026. 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. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

M C BitterDepartment of Biology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0001-7607-2375
S GreenblumDepartment of Biology, Stanford University, Stanford, California, USA.
S RajpurohitDepartment of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
A O BerglandDepartment of Biology, Stanford University, Stanford, California, USA.
J A HemkerDepartment of Biology, Stanford University, Stanford, California, USA.
E LappoDepartment of Biology, Stanford University, Stanford, California, USA.
N J BetancourtDepartment of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
S TilkDepartment of Biology, Stanford University, Stanford, California, USA.
S BerardiDepartment of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0009-0009-0627-8007
H OkenDepartment of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
P SchmidtDepartment of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
D A PetrovDepartment of Biology, Stanford University, Stanford, California, USA.

Funding

Genomics of rapid adaptation in the lab and in the wildR35GM118165 · NIGMS · STANFORD UNIVERSITY · PI Dmitri Petrov · 2016 to 2026
$8.3M
Genomics of rapid adaptation on seasonal timescales in D. melanogasterR01GM100366 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI SCHMIDT, PAUL · 2012 to 2019
$3.3M
Rapid evolution of pigmentation in D. melanogaster: from cis regulation to phenotypeR01GM137430 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI MCINTYRE, LAUREN M., SCHMIDT, PAUL · 2021 to 2024
$2.2M
Directorate for Biological Sciences NSF PRFB 2109407Foundation for the National Institutes of Health NIH 5R35GM118165-07Foundation for the National Institutes of Health NIH R01GM137430NIGMS NIH HHS R01 GM100366NIGMS NIH HHS R01 GM137430NIGMS NIH HHS R35 GM118165
6 · The paper itself

Abstract

Trade-offs are an inherent feature of organismal biology and fundamental to the evolution of natural populations. Here, we use experimental evolution in large, genetically diverse populations of Drosophila melanogaster to directly measure the manifestation of trade-offs in response to fluctuating selection on ecological timescales. We first conducted a lab-based selection experiment to quantify a genome-wide signal of fluctuating selection elicited in response to shifting population densities and in the absence of fluctuating abiotic conditions. We then conducted an independent experiment to show that lab-based manipulations of population density can identify loci relevant to selection during population expansion and collapse in an outdoor setting, where multiple biotic and abiotic conditions fluctuate simultaneously. In concert, our data indicate a role of eco-evolutionary feedbacks and generic fitness trade-offs in the maintenance of variation in natural populations and show how a coarse-grained genetic architecture of adaptation can lead to predictable evolutionary change across settings.

Indexed as

Adaptation, PhysiologicalBiological EvolutionDrosophila melanogasterGenetic FitnessSelection, GeneticAnimalsPopulation DensityadaptationDrosophila melanogastereco‐evolutionary feedbacksexperimental evolutionfluctuating selectiongenomicspopulation density fluctuationstrade‐offs

Identifiers

PMID41877362

What OpenQuestion holds

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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.