SNP-SNP Interaction Analysis on Soybean Oil Content under Multi-Environments.

Area of Science:

• Agricultural Science
• Genetics
• Plant Breeding

Background:

• Soybean oil content is a crucial quality trait for soybean.
• Understanding the genetic basis of oil content is vital for crop improvement.

Purpose of the Study:

• To identify stable single nucleotide polymorphism (SNP)-SNP interactions controlling soybean oil content across multiple environments.
• To provide insights into the genetic architecture of soybean oil content.

Main Methods:

• Utilized multifactor dimensionality reduction (MDR) and a high-density genetic map with 5,308 markers.
• Analyzed 36,442,756 SNP-SNP interaction pairs across 23 environments.
• Applied Bonferroni correction and two-way ANOVA to identify significant and stable interactions.

Main Results:

• Identified 1865 SNP-SNP interaction pairs associated with soybean oil content under multiple environments.
• Discovered two SNP-SNP pairs stable across 12 environments and 1863 pairs stable across 11 environments.
• Quantified epistasis values and contribution rates for stable interactions, ranging from 0.01 to 0.89 and 0.01 to 0.85, respectively.

Conclusions:

• The study reveals complex epistasis controlling soybean oil content.
• Some identified interactions involve previously known major quantitative trait loci (QTL).
• Results can facilitate marker-assisted selection for breeding improved soybean varieties.