Evidence map›Paper›PMID 42842608›Full record

ArticlePloS one2026

Natural variation of bioactive gibberellin levels in maize tissues across North America.

Xia Guan, Nitin Supekar, Changjian Jiang, Junhong Guo, Edwards Allen, Charles Dietrich, Cody Postin, Shubha Shakya, Yanfei Wang

Abstract read
In one paragraph

Article in PloS one, 2026. 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

9 authors.

Xia GuanRegulatory Science, Bayer CropScience LLC., Chesterfield, Missouri, United States of America.
Nitin SupekarRegulatory Science, Bayer CropScience LLC., Chesterfield, Missouri, United States of America.
Changjian JiangRegulatory Science, Bayer CropScience LLC., Chesterfield, Missouri, United States of America.
Junhong GuoRegulatory Science, Bayer CropScience LLC., Chesterfield, Missouri, United States of America.
Edwards AllenRegulatory Science, Bayer CropScience LLC., Chesterfield, Missouri, United States of America.ORCID https://orcid.org/0000-0002-8318-6319
Charles DietrichRegulatory Science, Bayer CropScience LLC., Chesterfield, Missouri, United States of America.
Cody PostinRegulatory Science, Bayer CropScience LLC., Chesterfield, Missouri, United States of America.
Shubha ShakyaRegulatory Science, Bayer CropScience LLC., Chesterfield, Missouri, United States of America.
Yanfei WangRegulatory Science, Bayer CropScience LLC., Chesterfield, Missouri, United States of America.ORCID https://orcid.org/0000-0002-2030-2044

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gibberellins (GA) are plant hormones that regulate growth and development throughout the plant life cycle. While gibberellins have been extensively studied under controlled conditions for their fundamental role in plant adaptation and agronomic trait development, field-based data on their natural variation of bioactive GA levels across diverse agricultural genotypes and environments remains limited. To address this knowledge gap, we analyzed bioactive gibberellin A1 (GA1) and gibberellin A4 (GA4) in multiple maize tissues from commercial conventional maize hybrids grown in diverse field environments using high-throughput liquid chromatography-tandem mass spectrometry (LC-MS/MS). This study provides quantitative measurements of GA1 and GA4 levels in maize tissues collected under standard agricultural practices and describes variation influenced by genetic background and environmental conditions. Our findings demonstrate that GA1 and GA4 concentrations from conventional maize samples varied across maize tissue types, hybrid, and field sites. Analysis of variance components indicated that the site variation was statistically significant in five of ten gibberellins by maize tissue combinations, while the genetic component was significant only for GA4 in grain samples, suggesting that environment factors have a larger effect than genetic factors Positive correlations between GA1 and GA4 were observed consistently across maize tissues except root. These findings offer preliminary insights into the interplay between genetics and environment, across germplasm and environments that have been previously described.

Indexed as

GibberellinsPlant Growth RegulatorsZea maysChromatography, LiquidNorth AmericaTandem Mass SpectrometryGibberellinsPlant Growth Regulators

Identifiers

PMID42842608
PMCPMC13645078

What OpenQuestion holds

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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.