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Updated: Nov 9, 2025

An Efficient Method for the Isolation of Highly Purified RNA from Seeds for Use in Quantitative Transcriptome Analysis
Published on: January 11, 2017
Temporal transcriptome profiling of developing seeds reveals candidate genes involved in oil accumulation in
Dandan Li1,2, Qing Wang1, Xin Xu1
1Agronomy College, Sichuan Agricultural University, Wenjiang, 611130, Chengdu, Sichuan, People's Republic of China.
Background:
The investigation of molecular mechanisms involved in lipid metabolism plays a critical role for the genetic engineering of safflower (Carthamus tinctorius L.) to increase the oil accumulation level or to change the oil composition. Although transcript sequences are currently available for the leaves and flowers of safflower, a wide range scan of temporal transcripts at different stages of seed development has not been conducted for safflower.
Results:
In this study, temporal transcriptome sequencing was executed at 10, 14, 18, and 22 days after flowering (DAF) to uncover the molecular networks concerned in the biosynthesis of unsaturated fatty acids (USFAs). The results revealed that the biosynthesis of fatty acids is a dominant cellular process from 10 to 14 DAF, while degradation mainly happens after 18 DAF. Significant expression changes of two genes, stearoyl-[acyl-carrier-protein] 9-desaturase gene (SAD) from 10 to 14 DAF and oleate desaturase (FAD2-1) from 14 to 18 DAF, were detected at the transcriptomic levels, and the temporal expression patterns revealed by the transcriptomic analysis were confirmed using quantitative real-time PCR experiments. In addition, 13 candidate transcription factors (TFs) involved in regulating the expression level of the FAD2-1 gene were identified.
Conclusions:
These results create a link between fatty acid biosynthesis and gene expression at different developmental stages of the seeds, provide insight into the underlying lipid metabolism, and meanwhile lay an important foundation for the genetic engineering of safflower varieties. We have identified novel candidate genes, including TFs, that are worthy of further exploration.
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