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Updated: Feb 7, 2026

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
Published on: March 5, 2022
Transcriptomic analysis identifies differentially expressed genes (DEGs) associated with bolting and flowering in
Shuang-Li Liu1, Xiao-Hui Wang2, Yu-Gang Gao1
1College of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130118, China.
Abstract:
Saposhnikovia divaricata is a valuable Chinese medicinal herb; the transformation from vegetative growth to reproductive growth may lead to the decrease of its pharmacological activities. Therefore, the study of bolting and flowering for Saposhnikovia divaricata is warranted. The present study aimed to reveal differentially expressed genes (DEGs) and regularity of expression during the bolting and flowering process, and the results of this study might provide a theoretical foundation for the suppression of early bolting for future research and practical application. Three sample groups, early flowering, flower bud differentiation, and late flowering (groups A, B, and C, respectively) were selected. Transcriptomic analysis identified 67, 010 annotated unigenes, among which 50, 165 were differentially expressed including 16, 108 in A vs B, and 17, 459 in B vs C, respectively. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway functional classification analysis were performed on these differentially expressed genes, and five important pathways were significantly impacted (P ≤ 0.01): plant circadian rhythm, other glycan degradation, oxidative phosphorylation, plant hormone signal transduction, and starch and sucrose metabolism. Plant hormone signal transduction might play an important role in the bolting and flowering process. The differentially expressed indole-3-acetic acid (IAA) gene showed significant down-regulation during bolting and flowering, while the transport inhibitor response 1 (TIR1) gene showed no significant change during the bolting process. The expression of flowering related genes FLC, LYF, and AP1 also showed a greater difference at different development stages. In conclusion, we speculate that the decrease in auxin concentration is not caused by the degrading effect of TIR1 but by an alternative mechanism.
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