Back

Evidence for Early Evolution of Sulfated Peptide Signaling in Plant Development

Tulio, D. V.; Shigenaga, A. M.; Wu, S.-Z.; Ronald, P. C.; Bezanilla, M.

2025-11-07 developmental biology
10.1101/2025.11.07.687175 bioRxiv
Show abstract

In plants, the cell wall fixes the position of each cell; therefore, during development, plants rely on cellular proliferation and expansion for tissue patterning and organ formation. How plant cells communicate with neighboring cells to coordinate expansion for properly patterned tissues and organs is not well understood. In seed plants, organ growth is known to be modulated by sulfotyrosyl peptide signaling. Here, we report that the activity of TYROSYL PROTEIN SULFOTRANSFERASE (TPST), which is responsible for the post-translational modification of sulfotyrosyl peptides, is essential for expansion during development in the non-vascular plant, Physcomitrium patens. Plants that harbor a null mutation in the gene encoding TPST ({Delta}tpst) were smaller, formed fewer caulonemal filaments, and were unable to form expanded gametophores. In {Delta}tpst multiple aspects of gametophore development were affected, including the first division of the gametophore initial, as well as reduced rates of cell division and expansion. Mutational analysis of P. patens TPST identified the residue Histidine 124, a candidate catalytic residue, as essential for TPST function. Notably, addition of the sulfated signaling peptide, PSY1 from either P. patens or Arabidopsis thaliana, rescued all {Delta}tpst developmental deficits. Taken together, these data suggest that TPST functions to sulfate PSY, and this activity is necessary for plant growth and development. Furthermore, since addition of AtPSY fully rescues {Delta}tpst and PpPSY promotes root elongation in Arabidopsis and rice, these findings suggest that PSY signaling is evolutionarily conserved.

Published in Plant Physiology (predicted rank #1) · training set

Matching journals

The top 2 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.