Evidence map›Paper›PMID 41701842›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Correlational selection and genetic architecture shape the evolution of the leaf economics spectrum in a perennial grass.

Robert W Heckman, Grace P John, Jason E Bonnette, Brandon E Campitelli, Felix B Fritschi, David B Lowry, Philip A Fay, Thomas E Juenger

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Correlational selection and genetic architecture shape the evolution of the leaf economics spectrum in a perennial grass.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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.

Robert W HeckmanDepartment of Integrative Biology, University of Texas at Austin, Austin, TX 78712.ORCID 0000-0002-2281-3091
Grace P JohnDepartment of Biology, University of Florida, Gainesville, FL 32611.ORCID 0000-0002-8045-5982
Jason E BonnetteDepartment of Integrative Biology, University of Texas at Austin, Austin, TX 78712.ORCID 0000-0003-1835-8409
Brandon E CampitelliDepartment of Integrative Biology, University of Texas at Austin, Austin, TX 78712.
Felix B FritschiDivision of Plant Science and Technology, University of Missouri, Columbia, MO 65211.ORCID 0000-0003-0825-6855
David B LowryDepartment of Plant Biology, Michigan State University, East Lansing, MI 48824.ORCID 0000-0002-8182-1059
Philip A FayU.S. Department of Agriculture Agricultural Research Service, Grassland Soil and Water Research Lab, Temple, TX 76502.ORCID 0000-0002-8291-6316
Thomas E JuengerDepartment of Integrative Biology, University of Texas at Austin, Austin, TX 78712.ORCID 0000-0001-9550-9288

Funding

DOE | Office of Science (SC) DE-SC0014156DOE | Office of Science (SC) DE-SC0018409NSF (NSF) IOS 0922457NSF (NSF) IOS 1444533USDA | FS | Rocky Mountain Research Station (RMRS) NA
6 · The paper itself

Abstract

The generality of the worldwide leaf economics spectrum (LES) has made it a pillar of trait-based ecological research. Yet, few studies have examined the processes shaping the evolution of the LES within species, in part, because most species occupy only a small portion of the LES. To address this gap, we took advantage of the distinct leaf economics strategies present in different ecotypes of the phenotypically diverse perennial grass

Indexed as

Biological EvolutionPanicumPlant LeavesPoaceaeSelection, GeneticChromosome MappingPhenotypePhotosynthesisQuantitative Trait Locifunctional ecologyquantitative geneticsquantitative trait locusswitchgrasstrait-based ecology

Identifiers

PMID41701842
PMCPMC12933081

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.