DOI: 10.1139/gen-2026-0017 ISSN: 0831-2796

Molecular Network Analysis of Gene Co-Expression Driving Seed Oil Content in Soybean

Nayla Zalzalah, Julia Catherine Wozny, Jakob Bruggink, Mohamad Elian, Tim Xing, Elroy R. Cober, Bahram Samanfar

Soybean seed composition is governed by an inverse correlation between protein and oil, a relationship complicated by environmental factors. In Canada, western grown soybeans consistently have lower seed protein than eastern grown soybeans, a pattern driven by genotype by environment interactions that modulate the protein–oil balance. To uncover the transcriptional networks behind these differences, a multi-year Weighted Gene Co-Expression Network Analysis (WGCNA) was performed on leaf transcriptomes from ten soybean genotypes cultivated in contrasting eastern and western environments. The analysis identified oil-associated co-expression modules preserved across years and environments; their eigengenes showed significant, consistent correlations with seed oil content each year. A core set of recurring hub genes formed the backbone of this network, many of which co-localize with major seed composition Quantitative Trait Loci. Notably, a key hub lies adjacent to the protein–oil trade-off regulator on chromosome 20, while additional hubs map within a QTL on chromosome 10 linked to a more favorable protein–oil balance. The relationship between module expression and oil content displayed a genotype by environment interaction, providing a molecular basis for phenotypic differences between eastern and western regions. These hub transcription factors are prime candidates for breeding soybean cultivars with improved seed composition.

More from our Archive