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Circadian Regulation Does Not Optimize Stomatal Behaviour.

Víctor Resco de Dios1,2, William R L Anderegg3, Ximeng Li4

  • 1School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang 621010, China.

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|August 29, 2020
PubMed
Summary
This summary is machine-generated.

Plant circadian clocks regulate stomatal conductance (gs) but do not optimize water use efficiency. Accounting for circadian gs rhythms is crucial for accurate plant physiological models.

Keywords:
adaptationsbeancottonecological strategiesgas exchangeleaf

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Area of Science:

  • Plant physiology
  • Circadian biology
  • Ecology

Background:

  • The circadian clock influences plant metabolism and stomatal conductance (gs).
  • The ecological function of circadian regulation of gs remains unclear.
  • Understanding this regulation is key to plant adaptation and modeling.

Purpose of the Study:

  • To investigate if circadian regulation optimizes diurnal stomatal conductance (gs).
  • To test two models of stomatal optimization: constant water use efficiency or maximized net carbon gain.
  • To assess the impact of circadian gs variations on stomatal model parameterization.

Main Methods:

  • Bean (Phaseolus vulgaris) and cotton (Gossypium hirsutum) canopies were exposed to constant environmental conditions for 48 hours (free-running).
  • Stomatal conductance (gs) variations were modeled under these conditions.
  • Two optimization models (constant marginal water use efficiency and maximized net carbon gain) were tested against observed gs data.

Main Results:

  • Circadian regulation of stomatal conductance (gs) did not align with either tested optimization model.
  • Observed gs patterns under free-running conditions were poorly predicted by the optimization models.
  • Failure to account for circadian gs variations can bias stomatal model calibration.

Conclusions:

  • Circadian regulation of stomatal conductance (gs) does not appear to directly optimize water use efficiency or carbon gain.
  • Circadian control may be a significant factor in explaining field-observed leaf-level patterns.
  • Incorporating circadian rhythms into plant models is essential for accurate physiological predictions.