Evidence map›Paper›PMID 40888908›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2025

Identification of new genomic loci for seed protein and oil content in the soybean pangenome using genome-wide association and haplotype analyses.

Tri D Vuong, Guangqi He, Haifei Hu, Babu Valliyodan, Dongho Lee, Philipp E Bayer, William T Schapaugh, Rene Hessel, David Edwards, Henry T Nguyen

Abstract read
PubMed Publisher
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Structural Variation and Its Roles in Plant Genomes.Plants (Basel, Switzerland) · 2026
    Review
  2. Article
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

10 authors.

Tri D Vuong *Division of Plant Science and Technology, University of Missouri, Columbia, MO, 65211, USA. vuongt@missouri.edu.ORCID http://orcid.org/0000-0002-4782-4061
Guangqi He *State Key Laboratory of Plant Environmental Resilience, College of Life Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
Haifei HuSchool of Biological Sciences and Centre for Applied Bioinformatics, University of Western Australia, Perth, WA, 6009, Australia.
Babu ValliyodanDepartment of Agriculture and Environmental Sciences, Lincoln University, Jefferson City, MO, 65101, USA.
Dongho LeeDivision of Plant Science and Technology, University of Missouri, Columbia, MO, 65211, USA.
Philipp E BayerSchool of Biological Sciences and Centre for Applied Bioinformatics, University of Western Australia, Perth, WA, 6009, Australia.
William T SchapaughDepartment of Agronomy, Kansas State University, Manhattan, KS, 66506, USA.
Rene HesselDepartment of Agronomy, Kansas State University, Manhattan, KS, 66506, USA.
David EdwardsSchool of Biological Sciences and Centre for Applied Bioinformatics, University of Western Australia, Perth, WA, 6009, Australia.
Henry T NguyenDivision of Plant Science and Technology, University of Missouri, Columbia, MO, 65211, USA. nguyenhenry@missouri.edu.

Funding

Australian Research Council DP200100762Australian Research Council DP210100296United Soybean Board 2120-152-0114
6 · The paper itself

Abstract

The soybean [Glycine max (L.) Merr.] pangenome has been studied and shown to be an invaluable resource for investigating structural variations (SVs), from which different genomic markers were successfully developed and employed for genome-wide association studies (GWAS). Among the SVs markers, gene presence-and-absence variations (PAVs) have been developed in soybean, but have not been widely utilized for association analyses. Here, we reported GWAS and haplotype analysis of seed protein and oil content for two diverse panels, comprised over 500 soybean accessions evaluated in multiple field environments using three marker datasets, whole genome sequence (WGS)-single-nucleotide polymorphisms (SNPs), 50 K-SNPs, and PAVs. The analyses identified new quantitative trait loci (QTL) for protein and oil content, along with the validation of previously reported QTL for these traits. This includes a well-studied QTL on chromosome (Chr.) 20 and another one on Chr. 05 for protein and/or oil. Importantly, this study is the first to report a new genomic locus for both protein and oil mapped to Chr. 08. Gene ontology annotations and expression profiles suggested candidate genes. Further analyses using haplotype-based markers led to the identification of multiple haplotype blocks encompassing candidate genes. Among these, Glyma.05G243400 on Chr. 05 and Glyma.08G109900 and Glyma.08G110000 on Chr. 08 were identified as promising targets. These genes can be incorporated into soybean breeding programs to enhance the selection of desirable protein and oil phenotypes through a haplotype-based breeding approach.

Indexed as

Genome, PlantGlycine maxHaplotypesPlant OilsPlant ProteinsQuantitative Trait LociSeedsChromosome MappingGenetic MarkersGenome-Wide Association StudyPhenotypePolymorphism, Single NucleotideGenetic MarkersPlant OilsPlant Proteins

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.