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1.
J Agric Food Chem ; 72(30): 16889-16899, 2024 Jul 31.
Article in English | MEDLINE | ID: mdl-39021146

ABSTRACT

Soybean (Glycine max [Linn.] Merr.) is an important oilseed crop. Although transcription factors (TFs) can coordinate the expression of mRNA and lncRNA, their coordination in the soybean oil synthesis pathway remains unclear. This study examined the interaction between the TF GmDof11 and lncRNA13082 and found that overexpression of GmDof11 led to an increase in the number of Arabidopsis seeds, thousand seed weight, crude protein, hydrolysis amino acid, and soluble sugar. Additionally, it reduced the triglyceride and starch contents and affected the proportion of fatty acids, increasing the contents of palmitic acid, stearic acid, and linolenic acid. The yeast two-hybrid experiments revealed that GmDof11 interacts with GmBCCP1, GmLEC1b, and GmFAB2 proteins. In the RT-qPCR analysis of transgenic soybean roots, it was found that GmDof11 can activate the production of lncRNA13082 and work in conjunction with lncRNA13082 to oversee oil synthesis and nutrient storage. Our research provides robust theoretical evidence for a comprehensive resolution of TF-lncRNA regulation in the soybean oil synthesis network.


Subject(s)
Arabidopsis , Gene Expression Regulation, Plant , Glycine max , Plant Proteins , Plants, Genetically Modified , RNA, Long Noncoding , Transcription Factors , Glycine max/genetics , Glycine max/metabolism , Plants, Genetically Modified/genetics , Plants, Genetically Modified/metabolism , RNA, Long Noncoding/genetics , RNA, Long Noncoding/metabolism , Plant Proteins/genetics , Plant Proteins/metabolism , Arabidopsis/genetics , Arabidopsis/metabolism , Transcription Factors/genetics , Transcription Factors/metabolism , Seeds/genetics , Seeds/metabolism , Seeds/chemistry , Soybean Oil/metabolism , Soybean Oil/genetics , Fatty Acids/metabolism , Fatty Acids/biosynthesis
2.
Front Plant Sci ; 15: 1364284, 2024.
Article in English | MEDLINE | ID: mdl-38444535

ABSTRACT

Heterosis is widely used in crop production, but phenotypic dominance and its underlying causes in soybeans, a significant grain and oil crop, remain a crucial yet unexplored issue. Here, the phenotypes and transcriptome profiles of three inbred lines and their resulting F1 seedlings were analyzed. The results suggest that F1 seedlings with superior heterosis in leaf size and biomass exhibited a more extensive recompilation in their transcriptional network and activated a greater number of genes compared to the parental lines. Furthermore, the transcriptional reprogramming observed in the four hybrid combinations was primarily non-additive, with dominant effects being more prevalent. Enrichment analysis of sets of differentially expressed genes, coupled with a weighted gene co-expression network analysis, has shown that the emergence of heterosis in seedlings can be attributed to genes related to circadian rhythms, photosynthesis, and starch synthesis. In addition, we combined DNA methylation data from previous immature seeds and observed similar recompilation patterns between DNA methylation and gene expression. We also found significant correlations between methylation levels of gene region and gene expression levels, as well as the discovery of 12 hub genes that shared or conflicted with their remodeling patterns. This suggests that DNA methylation in contemporary hybrid seeds have an impact on both the F1 seedling phenotype and gene expression to some extent. In conclusion, our study provides valuable insights into the molecular mechanisms of heterosis in soybean seedlings and its practical implications for selecting superior soybean varieties.

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