ArticleScientific reports2025
Integration of GWAS and transcriptome and haplotype analyses to identify QTNs and candidate genes controlling oil content in soybean seeds.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Integrating multi-model GWAS prior information enhances genomic prediction of cold tolerance traits in Populus simonii.BMC plant biology · 2026Article
- Genome-Wide Identification of Candidate Loci Associated with the Regulation of the Protein, Oil, and Carbohydrate Content in Soybean.Plants (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The oil content (OC) of soybean is a critical trait with important applications in the development of both food and industrial products. Consequently, enhancing OC has consistently remained a significant objective in soybean breeding programs. In this research, a four-way recombinant inbred line (FW-RIL) population containing 144 lines developed from the cross (Kenfeng14 × Kenfeng15) × (Kenfeng19 × Heinong48) was planted in ten environments to investigate the phenotypic data for OC in seeds. On the basis of the genotype data for 109,676 nonredundant single-nucleotide polymorphism (SNP) markers obtained in previous studies, important quantitative trait nucleotides (QTNs) controlling OC in soybean were identified via five multilocus genome-wide association study (GWAS) methods. A total of 54 significant QTNs were detected by the five methods, including 21 QTNs identified by multiple methods and 2 QTNs detected in two environments. By combining pathway analysis, transcriptome sequencing and gene annotation information, two candidate genes, Glyma.18G027100 and Glyma.03G021800, which are likely related to oil synthesis and metabolism in soybean seeds, were identified, and they were then verified via haplotype analysis. Additionally, 12 of the 23 important QTNs were found for the first time in this study. These results not only contribute to the understanding of the genetic control of OC in soybean seeds but are also helpful in marker-assisted selection (MAS) for breeding high-oil varieties of soybean.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.