Identification of the Underlying Candidate Gene for the E7 Maturity Locus in Soybean (Glycine max).

Citation

Siwar Haidar, Elroy Cober, Ashkan Golshani, Bahram Samanfar: Identification of the Underlying Candidate Gene for the E7 Maturity Locus in Soybean (Glycine max). 20thAnnual OCIB Symposium, Ottawa Carleton Institute of Biology, 2023 Canada [Oral].

Abstract

Soybean is a valuable and versatile crop worldwide, especially for sustainable agriculture. However, soybean growth and production is complicated and influenced by various factors, especially in regions with short growing seasons like Western Canada and Northern regions. Soybean is a short-day plant, and so longer days will delay flowering. There are a number of maturity loci in soybean controlling time of flowering and maturity; the underlying genes for some of these loci, including E7 is not yet identified (e7 plant flowers 6 days earlier than E7 ones). Here, we aim to identify the underlying candidate gene for E7 locus in soybean, using a combination of different –omics approaches. Among approximately 760 genes in the E7 region, 485 had consistent SNPs and INDELs between contrasting E7/e7 lines; furthermore, 166 genes were identified as candidates using gene ontology (GO) based on their association with flowering and maturity. Protein-protein interaction prediction engine (PIPE) is a bioinformatics tool that predicts protein-protein interactions. Hypothetically, if a protein is interacting with several other proteins involved in a particular pathway, then this protein is also likely to be involved in that pathway. PIPE analyses of the top 200 interacting partners of those 166 genes is now being performed to further narrow down this list, followed by expression analysis. Allele-specific markers will be developed to aid breeding programs in generating ultra-early maturing cultivars with more efficiency with a higher accuracy targeting Western Canada and Northern regions.

Publication date

2023-04-27