Evidence map›Paper›PMID 39829905›Full record

ArticlebioRxiv : the preprint server for biology2025

Experimental validation of genome-environment associations in Arabidopsis.

Yuxin Luo, Claire M Lorts, Erica H Lawrence-Paul, 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

4 authors.

Yuxin LuoDepartment of Biology, Pennsylvania State University.ORCID 0000-0003-1767-6069
Claire M LortsDepartment of Biology, Pennsylvania State University.ORCID 0009-0009-2976-3283
Erica H Lawrence-PaulDepartment of Biology, Pennsylvania State University.ORCID 0000-0002-0220-3210
Jesse R LaskyDepartment of Biology, Pennsylvania State University.ORCID 0000-0001-7688-5296

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

Identifying the genetic basis of local adaptation is a key goal in evolutionary biology. Allele frequency clines along environmental gradients, known as genotype-environment associations (GEA), are often used to detect potential loci causing local adaptation but are rarely followed by experimental validation. Here, we tested loci identified in three moisture-related GEA studies on

Indexed as

Drought stressGenome-environment associations (GEA)Local adaptationLSD1t-DNA knockoutWRKY38

Identifiers

PMID39829905
PMCPMC11741262

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.