PMID- 31654195
OWN - NLM
STAT- MEDLINE
DCOM- 20210531
LR  - 20210531
IS  - 1573-5079 (Electronic)
IS  - 0166-8595 (Print)
IS  - 0166-8595 (Linking)
VI  - 145
IP  - 1
DP  - 2020 Jul
TI  - From empirical to theoretical models of light response curves - linking 
      photosynthetic and metabolic acclimation.
PG  - 5-14
LID - 10.1007/s11120-019-00681-2 [doi]
AB  - Light response curves (LRCs) describe how the rate of photosynthesis varies as a 
      function of light. They provide information on the maximum photosynthetic 
      capacity, quantum yield, light compensation point and leaf radiation use 
      efficiency of leaves. Light response curves are widely used to capture 
      photosynthetic phenotypes in response to changing environmental conditions. 
      However, models describing these are predominantly empirical and do not attempt 
      to explain behaviour at a mechanistic level. Here, we use modelling to understand 
      the metabolic changes required for photosynthetic acclimation to changing 
      environmental conditions. Using a simple kinetic model, we predicted LRCs across 
      the physiological temperature range of Arabidopsis thaliana and confirm these 
      using experimental data. We use our validated metabolic model to make novel 
      predictions about the metabolic changes of temperature acclimation. We 
      demonstrate that NADPH utilization are enhanced in warm-acclimated plants, 
      whereas both NADPH and CO(2) utilization is enhanced in cold-acclimated plants. 
      We demonstrate how different metabolic acclimation strategies may lead to the 
      same photosynthetic response across environmental change. We further identify 
      that certain metabolic acclimation strategies, such as NADPH utilization, are 
      only triggered when plants are moved beyond a threshold high or low temperature.
FAU - Herrmann, Helena A
AU  - Herrmann HA
AD  - Department of Earth and Environmental Sciences, Faculty of Science and 
      Engineering, University of Manchester, Manchester, M13 9PT, UK.
AD  - Division of Evolution & Genomic Sciences, Faculty of Biology, Medicine and 
      Health, University of Manchester, Manchester, M13 9PT, UK.
FAU - Schwartz, Jean-Marc
AU  - Schwartz JM
AD  - Division of Evolution & Genomic Sciences, Faculty of Biology, Medicine and 
      Health, University of Manchester, Manchester, M13 9PT, UK.
FAU - Johnson, Giles N
AU  - Johnson GN
AUID- ORCID: 0000-0003-1536-5582
AD  - Department of Earth and Environmental Sciences, Faculty of Science and 
      Engineering, University of Manchester, Manchester, M13 9PT, UK. 
      giles.johnson@manchester.ac.uk.
LA  - eng
PT  - Journal Article
DEP - 20191025
PL  - Netherlands
TA  - Photosynth Res
JT  - Photosynthesis research
JID - 100954728
SB  - IM
MH  - *Acclimatization
MH  - Arabidopsis/*physiology/radiation effects
MH  - *Models, Theoretical
MH  - *Photosynthesis
MH  - Plant Leaves/physiology/radiation effects
MH  - Temperature
PMC - PMC7308256
OTO - NOTNLM
OT  - Light response curves
OT  - Photosynthesis
OT  - Plant metabolism
OT  - Temperature acclimation
COIS- The authors declare that they have no conflict of interest.
EDAT- 2019/10/28 06:00
MHDA- 2021/06/01 06:00
PMCR- 2019/10/25
CRDT- 2019/10/27 06:00
PHST- 2019/06/03 00:00 [received]
PHST- 2019/10/04 00:00 [accepted]
PHST- 2019/10/28 06:00 [pubmed]
PHST- 2021/06/01 06:00 [medline]
PHST- 2019/10/27 06:00 [entrez]
PHST- 2019/10/25 00:00 [pmc-release]
AID - 10.1007/s11120-019-00681-2 [pii]
AID - 681 [pii]
AID - 10.1007/s11120-019-00681-2 [doi]
PST - ppublish
SO  - Photosynth Res. 2020 Jul;145(1):5-14. doi: 10.1007/s11120-019-00681-2. Epub 2019 
      Oct 25.