Skip to content
Open access

Natural variation in GmSW6 regulates seed weight and quality in soybean.

Jul 2026 · Journal of Advanced Research · 0 citations · 42 references
Medicine

TL;DR

The findings elucidate a hierarchical genetic pathway governing soybean seed development and provide potent molecular targets for simultaneous improvement of seed weight and protein content in future 'designer' varieties.

Abstract

INTRODUCTION Seed weight and nutritional composition (protein and oil content) are critical agronomic traits that collectively determine the yield and quality in soybean. However, the genetic architecture and regulatory mechanisms governing these traits remain poorly understood.

Objectives

This study aimed to identify the key genes and molecular mechanisms governing 100-seed weight and nutritional quality in soybean, providing a theoretical framework for the dual-enhancement of seed weight and protein content.

Methods

A genome-wide association study (GWAS) was conducted using 1,702 diverse soybean cultivars to identify candidate loci associated with seed weight. Functional characterization was conducted through CRISPR-mediated knockout and overexpression analyses. Population genomic analyses were further performed to elucidate the evolutionary history and selection signals of the candidate gene.

Results

We identified GmSW6 (Seed Weight 6), encoding a 2-oxoglutarate Fe(II)-dependent dioxygenase (2OGD), as a master regulator of 100-seed weight. Knockout of GmSW6 markedly enhanced seed weight and protein content while simultaneously reducing oil content. Mechanistically, we demonstrated that the transcription factor GmSW13 directly activates GmSW6 expression. This GmSW13-GmSW6 module, in turn, upregulates GmOLEO1 to coordinately modulate both seed weight and quality. Population genomic analysis revealed that the elite allele, GmSW6G, is significantly associated with increased seed weight and has undergone intense positive selection during soybean domestication and modern improvement.

Conclusion

Our findings elucidate a hierarchical genetic pathway governing soybean seed development and provide potent molecular targets for simultaneous improvement of seed weight and protein content in future 'designer' varieties.

Read PDF

Similar papers

Review Open access Aug 2026

Genome-Wide Identification of the Soybean UMAMIT Family and Functional Analysis of GmUMAMIT118 in Improving Seed Protein Content

This study identified 120 soybean UMAMIT genes via a genome-wide search and designated them according to chromosomal location, providing a comprehensive overview of the soybean UMAMIT family and offered a preliminary exploration of its role in improving seed protein content.

Yongjiang Bi, Yaohui Chen, Meirong Lang et al. · 0 citations
Open access Aug 2026

GWAS-based identification of GmKASII and its interaction with GmFATA1B reveals their role in soybean oil composition and accumulation.

Findings demonstrate that GmKASII plays an important role in regulating plastidial fatty acid flux and seed oil biosynthesis, and reveal a potential regulatory connection between fatty acid elongation and acyl-ACP release pathways in soybean.

Monan Sun, Ali Shahzad, Yin-He Zhang et al. · 0 citations
Open access Jul 2026

Functional Characterization of GmRD22 Modulating Nitrogenase Activity in Soybean with Transcriptomic Comparison Between Two Genotypes

The findings suggest that GmRD22 has undergone directional selection during soybean domestication and improvement, and offer new insights into the genetic control of SNF and establish promising targets for breeding soybean varieties with improved nitrogen fixation efficiency.

Hanyu Zhao, Jiaying Zhong, Chao Ma et al. · 0 citations
Open access Aug 2026

Dissecting the genetic basis underlying drought tolerance at different development stages in soybean

Introduction Soybean is an indispensable crop supplying protein and oil for humans and animals, and playing an essential role in global food security. Drought represses soybean seed germination, reducing biomass accumulation and even inhibiting yield. Methods In order to dissect the genetic components underlying soybea...

Xiao-Lei Shi, Rui Tian, Sunlei Ding et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.