Evidence map›Paper›PMID 41292939›Full record

ArticlebioRxiv : the preprint server for biology2025

Ecological stoichiometry and life history theory, not the identity of genomic variants, predict rapid adaptation.

Seth M Rudman, Joshua J Faber-Hammond, Ryan E Sherman, René S Shahmohamadloo, Sharon I Greenblum, Heath A MacMillan, Punidan D Jeyasingh, Paul S Schmidt

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Seth M RudmanSchool of Biological Sciences, Washington State University, Vancouver, WA, USA.ORCID 0000-0001-5816-2801
Joshua J Faber-HammondSchool of Biological Sciences, Washington State University, Vancouver, WA, USA.ORCID 0000-0002-0954-0025
Ryan E ShermanDepartment of Biology, Oklahoma State University, Stillwater, OK, USA.
René S ShahmohamadlooSchool of Biological Sciences, Washington State University, Vancouver, WA, USA.ORCID 0000-0002-5373-9808
Sharon I GreenblumDepartment of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID 0000-0001-6148-3016
Heath A MacMillanDepartment of Biology and Institute of Biochemistry, Carleton University, Ottawa, ON, Canada.ORCID 0000-0001-7598-3273
Punidan D JeyasinghDepartment of Biology, Oklahoma State University, Stillwater, OK, USA.ORCID 0000-0002-5323-3217
Paul S SchmidtDepartment of Biology, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-8076-6705

Funding

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
Empirical tests of the contributions of genomic variation to the trajectories of adaptationR35GM147264 · NIGMS · WASHINGTON STATE UNIVERSITY · PI Seth Rudman · 2022 to 2026
$1.9M
NIGMS NIH HHS R01 GM100366NIGMS NIH HHS R01 GM137430NIGMS NIH HHS R35 GM147264
6 · The paper itself

Abstract

Determining the scale and scope of the predictability of evolution is fundamental to understanding biological processes and to managing biodiversity. Ecological frameworks, including life history theory and ecological stoichiometry, offer testable predictions about the direction of adaptation and trade-offs between traits in response to environmental change. Similarly, well-characterized molecular pathways, genotype-phenotype linkages, and prior evolutionary genomic studies could be predictive of the genomic architecture underlying adaptation. We tested whether ecological frameworks and evolutionary genomic data can be used to forecast rapid adaptation in replicated outdoor populations of

Indexed as

Adaptive TrackingElemental BiologyEvolutionary EcologyExperimental EvolutionIonomicsMolecular EvolutionPopulation GenomicsPredicting Evolution

Identifiers

PMID41292939
PMCPMC12642422

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.