NaWRKY3 is a master transcriptional regulator of defense network against Alternaria alternata in Nicotiana attenuata
Xu, Z.; Zhang, S.; Wu, J.
Show abstract
WRKY transcription factors are involved in plant defense responses against pathogens. However, no WRKYs have been reported yet in resistance of Nicotiana species to Alternaria alternata, a necrotrophic fungal pathogen causing brown spot disease. Here, we found that silencing NaWRKY3 lead to wild tobacco Nicotiana attenuata highly susceptible to A. alternata. Combination of transcriptome, electrophoretic mobility shift, ChIP-qPCR and dual-LUC analyses, we uncovered that NaWRKY3 bound to many defense genes promoter and activated their expression. Target genes included: 1) lipoxygenases 3, ACC synthase 1 and ACC oxidase 1, three key enzyme genes for JA and ethylene biosynthesis which were critical for A. alternata resistance; 2) feruloyl-CoA 6-hydroxylase 1 (NaF6H1), the key enzyme gene for phytoalexins against A. alternata, scopoletin and scopolin; and 3) three A. alternata resistance genes, long non-coding RNA (LncRNA L2), NADPH oxidase (NaRboh D) and berberine bridge-like (NaBBL28). Silencing LncRNA L2 reduced A. alternata-induced levels of JA and NaF6H1 expression. NaRboh D-silenced plants were strongly impaired in ROS production and stomata closure responses. NaBBL28 was the first A. alternata resistance BBLs identified and was involved in HGL-DTGs hydroxylation. Finally, NaWRKY3 could bind to its own promoter but acted as a transcriptional repressor. Thus we demonstrated that NaWRKY3 is a fine-tuned master regulator of defense network against A. alternata in N. attenuata by regulating different signaling pathways and defense metabolites. For the first time, such an important WRKY was identified in Nicotiana species, providing new insight into defense mechanism of Nicotiana plants to A. alternata.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The HSF-DREB-MYB transcriptional regulatory module regulates flavonol biosynthesis and flavonoid B-ring hydroxylation in banana(Musa acuminata) 97%
- MdMYB44-like positively regulates salt and drought tolerance via the MdPYL8-MdPP2CA module in apple 96%
- MdLRR-RLK1-MdATG3 module enhances the resistance of apples to abiotic stress via autophagy 96%
Similar papers in this journal
- Arabidopsis CALMODULIN-BINDING PROTEIN 60b plays dual roles in plant immunity 96%
- ABI5-FLZ13 Module Transcriptionally Represses Growth-related Genes to Delay Seed Germination in Response to ABA 95%
- UPL3 Promotes BZR1 Degradation, Growth Arrest, and Seedling Survival under Starvation Stress in Arabidopsis 95%
Similar papers in this journal
- NbCycB2 represses Nbwo activity via a negative feedback loop in the tobacco trichome development 97%
- Estradiol-inducible AvrRps4 expression reveals distinct properties of TIR-NLR-mediated effector-triggered immunity 96%
- MADS-box factor AGL16 negatively regulates drought resistance via stomatal density and stomatal movement 96%
Similar papers in this journal
- AP2/ERF transcription factor NbERF-IX-33 is involved in the regulation of phytoalexin production for the resistance of Nicotiana benthamiana to Phytophthora infestans. 97%
- The Vitis vinifera receptor VvLYK6 negatively regulates chitin-triggered immune responses and promotes fungal infections 96%
- An evolutionarily conserved coreceptor gene is essential for CLAVATA signaling in Marchantia polymorpha 96%
Similar papers in this journal
- Early flowering in oilseed-type Brassica rapa plants results from nonsense-mediated mRNA decay (NMD) of BrFLC2 95%
- Characterisation of the ERF102 to ERF105 genes of Arabidopsis thaliana and their role in the response to cold stress 94%
- Transcriptional profiling reveals conserved and species-specific plant defense responses during the interaction of the early divergent plant Physcomitrium patens with Botrytis cinerea 94%
"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.