A holistic approach to study photosynthetic acclimation responses of plants to fluctuating light

Armida Gjindali, Helena Herrmann, Jean-Marc Schwartz, Giles Johnson, Pablo Calzadilla

Research output: Contribution to journalReview articlepeer-review

Abstract

Plants in natural environments receive light through sunflecks, the duration and distribution of these being highly variable across the day. Consequently, plants need to adjust their photosynthetic processes to avoid photoinhibition and maximize yield. Changes in the composition of the photosynthetic apparatus in response to sustained changes in the environment are referred to as photosynthetic acclimation, a process that involves changes in protein content and composition. Considering this definition, acclimation differs from regulation, which involves processes that alter the activity of individual proteins over short-time periods, without changing the abundance of those proteins. The interconnection and overlapping of the short- and long-term photosynthetic responses, which can occur simultaneously or/and sequentially over time, make the study of long-term acclimation to fluctuating light in plants challenging. In this review we identify short-term responses of plants to fluctuating light that could act as sensors and signals for acclimation responses, with the aim of understanding how plants integrate environmental fluctuations over time and tailor their responses accordingly. Mathematical modeling has the potential to integrate physiological processes over different timescales and to help disentangle short-term regulatory responses from long-term acclimation responses. We review existing mathematical modeling techniques for studying photosynthetic responses to fluctuating light and propose new methods for addressing the topic from a holistic point of view.

Original languageEnglish
Article number668512
JournalFrontiers in Plant Science
Volume12
DOIs
Publication statusPublished - 14 Apr 2021

Keywords

  • acclimation
  • fluctuating light
  • mathematical modeling
  • metabolism
  • photosynthesis

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