Journal
PLANT PHYSIOLOGY
Volume 176, Issue 3, Pages 1939-1951Publisher
OXFORD UNIV PRESS INC
DOI: 10.1104/pp.17.01809
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Funding
- PhD Natural Environment Research Council DTP studentship [Env-East DTP E14EE]
- Biotechnology and Biological Sciences Research Council [BB/1001187/1, BB/N021061/1]
- BBSRC [BB/N016831/1, BB/N021061/1, BB/N01698X/1, BB/L001187/1] Funding Source: UKRI
- Biotechnology and Biological Sciences Research Council [BB/N016831/1, BB/L001187/1, BB/N021061/1, BB/N01698X/1] Funding Source: researchfish
- Natural Environment Research Council [1511815] Funding Source: researchfish
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Plant acclimation to growth light environment has been studied extensively; however, the majority of these studies have focused on light intensity and photo-acclimation, with few studies exploring the impact of dynamic growth light on stomatal acclimation and behavior. To assess the impact of growth light regime on stomatal acclimation, we grew Arabidopsis (Arabidopsis thaliana) plants in three different lighting regimes (with the same average daily intensity), fluctuating with a fixed pattern of light, fluctuating with a randomized pattern of light (sinusoidal), and nonfluctuating (square wave), to assess the effect of light regime dynamics on gas exchange. We demonstrated that g(s) (stomatal conductance to water vapor) acclimation is influenced by both intensity and light pattern, modifying the stomatal kinetics at different times of the day and resulting in differences in the rapidity and magnitude of the gs response. We also describe and quantify the response to an internal signal that uncouples variation in A and gs over the majority of the diurnal period and represents 25% of the total diurnal gs. This gs response can be characterized by a Gaussian element and when incorporated into the widely used Ball-Berry model greatly improved the prediction of gs in a dynamic environment. From these findings, we conclude that acclimation of gs to growth light could be an important strategy for maintaining carbon fixation and overall plant water status and should be considered when inferring responses in the field from laboratory-based experiments.
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