Evidence map›Paper›PMID 39013958›Full record

ArticleScientific reports2024

Across-environment seed protein stability and genetic architecture of seed components in soybean.

Chengjun Wu, Andrea Acuña, Liliana Florez-Palacios, Derrick Harrison, Daniel Rogers, Leandro Mozzoni, Rouf Mian, Caio Canella Vieira

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Genetic mapping of novel QTL for seed protein stability in food-grade soybean (Glycine max).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  2. Article
  3. Review
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.

Chengjun Wu *Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, 72701, USA.
Andrea Acuña *Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, 72701, USA.
Liliana Florez-Palacios *Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, 72701, USA.
Derrick HarrisonDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, 72701, USA.
Daniel RogersDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, 72701, USA.
Leandro MozzoniDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, 72701, USA.
Rouf MianSoybean and Nitrogen Fixation Research Unit, USDA-Agricultural Research Service, Raleigh, NC, 27607, USA.
Caio Canella VieiraDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, 72701, USA. caioc@uark.edu.

Funding

United Soybean Board 2333-203-0101
6 · The paper itself

Abstract

The recent surge in the plant-based protein market has resulted in high demands for soybean genotypes with improved grain yield, seed protein and oil content, and essential amino acids (EAAs). Given the quantitative nature of these traits, complex interactions among seed components, as well as between seed components and environmental factors and management practices, add complexity to the development of desired genotypes. In this study, the across-environment seed protein stability of 449 genetically diverse plant introductions was assessed, revealing that genotypes may display varying sensitivities to such environmental stimuli. The EAAs valine, phenylalanine, and threonine showed the highest variable importance toward the variation in stability, while both seed protein and oil contents were among the explanatory variables with the lowest importance. In addition, 56 single nucleotide polymorphism (SNP) markers were significantly associated with various seed components. Despite the strong phenotypic Pearson's correlation observed among most seed components, many independent genomic regions associated with one or few seed components were identified. These findings provide insights for improving the seed concentration of specific EAAs and reducing the negative correlation between seed protein and oil contents.

Indexed as

Glycine maxPolymorphism, Single NucleotideSeedsAmino Acids, EssentialGene-Environment InteractionGenotypePhenotypePlant ProteinsProtein StabilityQuantitative Trait LociSeed Storage ProteinsAmino Acids, EssentialPlant ProteinsSeed Storage Proteins

Identifiers

PMID39013958
PMCPMC11252131

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.