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Stochasticity and the limits of molecular signaling in plant development.

Authors :
Lintilhac, Philip M.
Source :
Frontiers in Plant Science; 10/19/2022, Vol. 13, p1-4, 4p
Publication Year :
2022

Abstract

Understanding plant development is in part a theoretical endeavor that can only succeed if it is based upon a correctly contrived axiomatic framework. Here I revisit some of the basic assumptions that frame our understanding of plant development and suggest that we consider an alternative informational ecosystem that more faithfully reflects the physical and architectural realities of plant tissue and organ growth. I discuss molecular signaling as a stochastic process and propose that the iterative and architectural nature of plant growth is more usefully represented by deterministic models based upon structural, surficial, and stress-mechanical information networks that come into play at the trans-cellular level. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1664462X
Volume :
13
Database :
Complementary Index
Journal :
Frontiers in Plant Science
Publication Type :
Academic Journal
Accession number :
160039011
Full Text :
https://doi.org/10.3389/fpls.2022.999304