Using transcriptomic and metabolomic data to investigate the molecular mechanisms that determine protein and oil contents during seed development in soybean

Autor: Wenjing Xu, Qiong Wang, Wei Zhang, Hongmei Zhang, Xiaoqing Liu, Qingxin Song, Yuelin Zhu, Xiaoyan Cui, Xin Chen, Huatao Chen
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Frontiers in Plant Science, Vol 13 (2022)
Druh dokumentu: article
ISSN: 1664-462X
DOI: 10.3389/fpls.2022.1012394
Popis: Soybean [Glycine max (L.) Merri.] is one of the most valuable global crops. And vegetable soybean, as a special type of soybean, provides rich nutrition in people’s life. In order to investigate the gene expression networks and molecular regulatory mechanisms that regulate soybean seed oil and protein contents during seed development, we performed transcriptomic and metabolomic analyses of soybean seeds during development in two soybean varieties that differ in protein and oil contents. We identified a total of 41,036 genes and 392 metabolites, of which 12,712 DEGs and 315 DAMs were identified. Analysis of KEGG enrichment demonstrated that DEGs were primarily enriched in phenylpropanoid biosynthesis, glycerolipid metabolism, carbon metabolism, plant hormone signal transduction, linoleic acid metabolism, and the biosynthesis of amino acids and secondary metabolites. K-means analysis divided the DEGs into 12 distinct clusters. We identified candidate gene sets that regulate the biosynthesis of protein and oil in soybean seeds, and present potential regulatory patterns that high seed-protein varieties may be more sensitive to desiccation, show earlier photomorphogenesis and delayed leaf senescence, and thus accumulate higher protein contents than high-oil varieties.
Databáze: Directory of Open Access Journals