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Explaining pre-emptive acclimation by linking information to plant phenotype.

Pedro J Aphalo1, Victor O Sadras2

  • 1Organismal and Evolutionary Biology Research Programme, Viikki Plant Science Centre, Faculty of Biological and Environmental Sciences, University of Helsinki, Finland.

Journal of Experimental Botany
|December 16, 2021
PubMed
Summary
This summary is machine-generated.

Plants acclimate preemptively by sensing environmental correlations, not just individual cues. This model links ecology and development, explaining why artificial conditions often fail to predict plant responses in nature.

Keywords:
Adaptationcues and signalsdroughteco-devoepigenomegenomeinformationphenomepreemptive acclimation

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Area of Science:

  • Plant science
  • Ecology
  • Evolutionary biology

Background:

  • Plants acclimate to environmental changes through sensing cues and signals.
  • Pre-emptive acclimation allows plants to anticipate future conditions.
  • Current models often fail to predict plant responses in natural settings.

Purpose of the Study:

  • To propose a conceptual model for pre-emptive acclimation in plants.
  • To link developmental and evolutionary ecology with environmental information acquisition.
  • To explain the mismatch between artificial and natural environments for plant studies.

Main Methods:

  • Review of plant acclimation mechanisms.
  • Development of a conceptual model based on multivariate environmental properties.
  • Analysis of molecular signaling, genome, epigenome, and phenome encoding.
  • Illustration with shade avoidance and drought acclimation examples.

Main Results:

  • Plants acquire environmental information from joint multivariate properties (correlations), not just individual cues.
  • Multivariate complexity explains extrapolation failures from artificial to natural systems.
  • The model generates testable hypotheses across organizational levels.

Conclusions:

  • Pre-emptive acclimation is driven by sensing environmental correlations.
  • The proposed model integrates ecological and developmental perspectives.
  • Understanding multivariate environmental properties is crucial for predicting plant responses.