Back

SlNAP2 promoted fruit ripening by directly binding the ACS2 promoter and interacting with EIL3

Wu, X.; Fang, H.; Huang, D.; Hou, X.; Qiao, Y.; Li, C.; Li, A.; Huang, Y.; Zhang, Z.; Liu, Z.; Liu, Y.; Liao, W.

2024-07-16 biochemistry
10.1101/2024.07.15.603576 bioRxiv
Show abstract

The ripening process of tomato fruit is affected by a variety of environmental factors and genetic regulators. NAC transcription factors (TFs) function in a multitude of biological processes, while the current knowledge on the participation of NAC TFs in the regulatory network of fruit ripening is relatively limited. In this study, we isolated a NAC TFs, NAP2, which acts as a positive transcription activator in tomato fruit ripening. We also observed a notable delay in the ripening process of SlNAP2 silenced and knockout mutant fruit. In particular, ethylene production was obviously inhibited in SlNAP2 mutant fruit. Y1H and DLR assays showed that SlNAP2 directly binds to the promoter of SlACS2 and activates its transcriptional activity. Furthermore, SlNAP2 and SlEIL3 physically interaction was demonstrated by yeast two-hybrid (Y2H), luciferase complementation (LUC), bimolecular fluorescence complementation (BiFC) and coimmunoprecipitation analysis (CoIP) assays. Meanwhile, the pigment content, firmness and the transcript levels of genes associated with carotenoid and chlorophyll metabolism and cell wall metabolism were also potentially affected by the SlNAP2 deletion; however, it has remained unclear whether these genes are also directly regulated by SlNAP2. Therefore, our findings indicate that SlNAP2 directly binds to SlACS2 promoter to activate its expression and promote ethylene generation, which in turn interacts with EIL3 to enhance the function of ethylene in tomato fruit ripening. Collectively, our data contribute to understanding the interaction of NAC TFs and ethylene in tomato fruit ripening, thereby enhancing our knowledge of the ripening regulatory network that governs tomato fruit maturation.

Matching journals

The top 6 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.