Evidence map›Paper›PMID 39870733›Full record

ArticleScientific reports2025

Unraveling the interactive effect of opaque2 and waxy1 genes on kernel nutritional qualities and physical properties in maize (Zea mays L.).

Subhra J Mishra, Ikkurti Gopinath, Vignesh Muthusamy, Rajkumar U Zunjare, Gulab Chand, Arun K T Venkatesh, Elangbam L Devi, Konsam Sarika, Zahirul A Talukder, Jitender Kumar and 1 more

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Subhra J MishraICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
Ikkurti GopinathICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
Vignesh MuthusamyICAR-Indian Agricultural Research Institute, New Delhi, 110012, India. vignesh.m@icar.gov.in.
Rajkumar U ZunjareICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
Gulab ChandICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
Arun K T VenkateshICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
Elangbam L DeviICAR-Research Complex for North-Eastern Hill Region Centre, Sikkim, 737102, India.
Konsam SarikaICAR-Research Complex for North-Eastern Hill Region Centre, Manipur, 795004, India.
Zahirul A TalukderICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
Jitender KumarAmity Institute of Biotechnology, Amity University, Noida, 201313, India.
Firoz HossainICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.

Funding

DBT-NER BT/PR25257/NER/95/1101/2017Indian Council of Agricultural Research CRP-MB (12-143C)
6 · The paper itself

Abstract

The mutant waxy allele (wx1) is responsible for increased amylopectin in maize starch, with a wide range of food and industrial applications. The amino acid profile of waxy maize resembles normal maize, making it particularly deficient in lysine and tryptophan. Therefore, the present study explored the combined effects of genes governing carbohydrate and protein composition on nutritional profile and kernel physical properties by crossing Quality Protein Maize (QPM) (o2o2/wx1

Indexed as

DNA-Binding ProteinsNutritive ValuePlant ProteinsSeedsTranscription FactorsZea maysAmylopectinGenes, PlantGenotypeLysineMutationStarchStarch SynthaseTryptophanAmylopectinDNA-Binding ProteinsLysineopaque-2 protein, Zea maysPlant ProteinsStarchStarch SynthaseTranscription FactorsTryptophanwaxy protein, plantAmylopectinKernel physical propertiesNutritional profileopaque2Synergistic interactionWaxy maize

Identifiers

PMID39870733
PMCPMC11772843

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LicenceCC BY-NC-ND
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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.