Evidence map›Paper›PMID 39282395›Full record

ArticlebioRxiv : the preprint server for biology2025

Does genetic variation in controlled experiments predict phenology of wild plants?

Victoria L DeLeo, David L Des Marais, Claire M Lorts, Thomas E Juenger, Jesse R Lasky

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

5 · Who and what money

Authors and funding

5 authors.

Victoria L DeLeoDepartment of Biology, Pennsylvania State University, USA.
David L Des MaraisDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, USA.ORCID 0000-0002-6772-6987
Claire M LortsDepartment of Biology, Pennsylvania State University, USA.
Thomas E JuengerDepartment of Integrative Biology, University of Texas at Austin, USA.
Jesse R LaskyDepartment of Biology, Pennsylvania State University, USA.

Funding

Evolutionary genetics of genotype-by-environment interactions for complex traitsR35GM138300 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI LASKY, JESSE · 2020 to 2024
$1.8M
NIGMS NIH HHS R35 GM138300
6 · The paper itself

Abstract

Phenology and the timing of development are often under selection. However, the relative contributions of genotype, environment, and prior developmental transitions to variance in the phenology of wild plants is largely unknown. Individual components of phenology (e.g., germination) might be loosely related with the timing of maturation due to variation in prior developmental transitions. Given widespread evidence that genetic variation in life history is adaptive, we investigated to what degree experimentally measured genetic variation in Arabidopsis phenology predicts phenology of plants in the wild. As a proxy of phenology, we obtained collection dates from nature of 227 naturally inbred

Identifiers

PMID39282395
PMCPMC11398302

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.