Back

ABA-responsive transcription factor CbNAC63 is involved in modulating biosynthesis of triterpenoid saponins in Conyza blinii

Yuan, Y.; Zhou, M.; Yang, M.; Wang, M.; Zhan, J.; Wang, T.; Chen, H.; Zheng, T.

2025-11-29 plant biology
10.1101/2025.11.27.690938 bioRxiv
Show abstract

Conyza blinii, a traditional Chinese medicinal herb, accumulates triterpenoid saponins. NAC transcription factors (TFs) are pivotal for plant stress responses and hormone-mediated secondary metabolism, while abscisic acid (ABA) regulates terpenoid biosynthesis in medicinal plants. However, how NAC TFs mediate ABA-regulated triterpenoid saponin synthesis in C. blinii remains unclear. In order to address this gap, the focus was directed towards CbNAC63--a NAC TF identified from the nocturnal low-temperature transcriptome of C. blinii. Phylogenetic and motif analyses showed it belongs to the stress-responsive NAC subclade with conserved domains. Y2H assays revealed its self-interaction, enhancing transcriptional activity; subcellular localization confirmed nuclear localization. RT-qPCR results indicated CbNAC63 exhibits tissue-specific expression under nocturnal low-temperature stress, accompanied by increased triterpenoid saponin accumulation. ABA signaling primarily regulates this process: exogenous ABA enhanced CbNAC63 expression and saponin content, while fluridone suppressed both. Overexpression (OE) and virus-induced gene silencing (VIGS) demonstrated CbNAC63 positively regulates saponin biosynthesis. Y1H and dual-luciferase reporter assays confirmed CbNAC63 directly binds to the promoters of Cb{beta}AS and CbHMGR and activates their transcription. In summary, the study shows CbNAC63 integrates ABA and low-temperature signals, activating MVA pathway genes to regulate saponin synthesis. This unveils a novel "ABA-CbNAC63-MVA" module, enriches the classic regulatory network, and provides a target for improving medicinal plant quality. HighlightsIdentifies CbNAC63 as a novel regulator that integrates ABA and cold signals to boost saponin production in medicinal plants.

Published in Plant Stress (predicted rank #22) · training set

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.