Back

Cryo-EM structure of plant urea transporter DUR3 reveals essential role of C-terminal domain in tetramer assembly and insights into proton-coupled transport

Wang, Y.; Green, M. N.; Lin, H.; Mazurek, C.; Lin, X.; Li, T.; Wang, R.; Li, W.; Zhao, X.; Feng, P.; Frommer, W. B.; Zhang, J.; Wudick, M. M.; Fan, M.

2025-05-23 plant biology
10.1101/2025.05.20.653754 bioRxiv
Show abstract

Nitrogen pollution, caused by the overuse of nitrogen-fertilizers such as urea in agricultural production, has become a serious problem that threatens both the environment and human health. Improving the nitrogen use efficiency of crops is an important approach to reduce fertilizer use. DUR3, a high-affinity urea transporter, enables plants to acquire urea from natural or agricultural soils with low urea concentrations and has been proposed as a promising target for engineering crops to improve nitrogen-fertilizer use efficiency. Despite extensive studies for more than 20 years, the structure, substrate recognition and transport mechanism of DUR3 have remained unknown. Here we report the cryo-EM structure of maize DUR3 (ZmDUR3) at 3.41 [A] resolution. ZmDUR3 adopts an amino acid-polyamine-organocation (APC) superfamily fold and is structurally distinct from animal facilitative urea transporters. Our structure provides important insights into urea recognition by DUR3 and suggests that a pair of acidic residues is potentially involved in proton coupling during urea transport. Furthermore, our structural and functional studies indicate that DUR3 assembles into a tetramer and tetramer formation is important for its function. Our results pave the way for engineering plant DUR3 protein for applications in sustainable agricultural production.

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.