SynthesisCells2022
Pinpointing Genomic Regions and Candidate Genes Associated with Seed Oil and Protein Content in Soybean through an Integrative Transcriptomic and QTL Meta-Analysis.
Synthesis in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 31 citations in OpenAlex.
- Meta-QTL Analysis Reveals Consensus Genomic Regions and Candidate Genes for Resistance to Sudden Death Syndrome in Soybean.Plants (Basel, Switzerland) · 2026Article
- Genome-Wide Identification of Candidate Loci Associated with the Regulation of the Protein, Oil, and Carbohydrate Content in Soybean.Plants (Basel, Switzerland) · 2026Article
- Spatiotemporal Metabolome analysis reveals a metabolic network during development of the waxy sorghum landrace 'Hongyingzi'.Frontiers in plant science · 2026Article
- Deciphering the role of monoacylglycerol lipases (MAGL) under abiotic stress and lipid metabolism in soybean (Glycine max L.).Plant biotechnology journal · 2025Article
- Genome-wide identification of the SAM-dependent methyltransferase members and functional analysis of GmSAMMt30 in soybean (Glycine max) under salt-alkali stress.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Soybean genome‑wide association study of seed weight, protein, and oil content in the southeastern USA.Molecular genetics and genomics : MGG · 2025Article
- Balancing act: progress and prospects in breeding soybean varieties with high oil and seed protein content.Frontiers in plant science · 2025Review
- Integrative omics analysis elucidates the genetic basis underlying seed weight and oil content in soybean.The Plant cell · 2024Article
- Genome-wide association study and high-quality gene mining related to soybean protein and fat.BMC genomics · 2023Article
Corrections and comments
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Authors and funding
11 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soybean with enriched nutrients has emerged as a prominent source of edible oil and protein. In the present study, a meta-analysis was performed by integrating quantitative trait loci (QTLs) information, region-specific association and transcriptomic analysis. Analysis of about a thousand QTLs previously identified in soybean helped to pinpoint 14 meta-QTLs for oil and 16 meta-QTLs for protein content. Similarly, region-specific association analysis using whole genome re-sequenced data was performed for the most promising meta-QTL on chromosomes 6 and 20. Only 94 out of 468 genes related to fatty acid and protein metabolic pathways identified within the meta-QTL region were found to be expressed in seeds. Allele mining and haplotyping of these selected genes were performed using whole genome resequencing data. Interestingly, a significant haplotypic association of some genes with oil and protein content was observed, for instance, in the case of
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