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Stochasticity and the limits of molecular signaling in plant development

Authors
  • Lintilhac, Philip M.
Type
Published Article
Journal
Frontiers in Plant Science
Publisher
Frontiers Media SA
Publication Date
Oct 19, 2022
Volume
13
Identifiers
DOI: 10.3389/fpls.2022.999304
Source
Frontiers
Keywords
Disciplines
  • Plant Science
  • Hypothesis and Theory
License
Green

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.

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