TY - JOUR
T1 - Quantifying the impact of dynamic plant-environment interactions on metabolic regulation
AU - Kitashova, Anastasia
AU - Brodsky, Vladimir
AU - Chaturvedi, Palak
AU - Pierides, Iro
AU - Ghatak, Arindam
AU - Weckwerth, Wolfram
AU - Nägele, Thomas
N1 - Publisher Copyright:
© 2023 The Authors
PY - 2023/11
Y1 - 2023/11
N2 - A plant's genome encodes enzymes, transporters and many other proteins which constitute metabolism. Interactions of plants with their environment shape their growth, development and resilience towards adverse conditions. Although genome sequencing technologies and applications have experienced triumphantly rapid development during the last decades, enabling nowadays a fast and cheap sequencing of full genomes, prediction of metabolic phenotypes from genotype × environment interactions remains, at best, very incomplete. The main reasons are a lack of understanding of how different levels of molecular organisation depend on each other, and how they are constituted and expressed within a setup of growth conditions. Phenotypic plasticity, e.g., of the genetic model plant Arabidopsis thaliana, has provided important insights into plant-environment interactions and the resulting genotype x phenotype relationships. Here, we summarize previous and current findings about plant development in a changing environment and how this might be shaped and reflected in metabolism and its regulation. We identify current challenges in the study of plant development and metabolic regulation and provide an outlook of how methodological workflows might support the application of findings made in model systems to crops and their cultivation.
AB - A plant's genome encodes enzymes, transporters and many other proteins which constitute metabolism. Interactions of plants with their environment shape their growth, development and resilience towards adverse conditions. Although genome sequencing technologies and applications have experienced triumphantly rapid development during the last decades, enabling nowadays a fast and cheap sequencing of full genomes, prediction of metabolic phenotypes from genotype × environment interactions remains, at best, very incomplete. The main reasons are a lack of understanding of how different levels of molecular organisation depend on each other, and how they are constituted and expressed within a setup of growth conditions. Phenotypic plasticity, e.g., of the genetic model plant Arabidopsis thaliana, has provided important insights into plant-environment interactions and the resulting genotype x phenotype relationships. Here, we summarize previous and current findings about plant development in a changing environment and how this might be shaped and reflected in metabolism and its regulation. We identify current challenges in the study of plant development and metabolic regulation and provide an outlook of how methodological workflows might support the application of findings made in model systems to crops and their cultivation.
KW - Arabidopsis
KW - Crop plants
KW - Development
KW - Mass spectrometry
KW - Mathematical modelling
KW - Natural variation
KW - Photosynthesis
KW - Subcellular metabolism
UR - http://www.scopus.com/inward/record.url?scp=85173948773&partnerID=8YFLogxK
U2 - 10.1016/j.jplph.2023.154116
DO - 10.1016/j.jplph.2023.154116
M3 - Article
C2 - 37839392
AN - SCOPUS:85173948773
SN - 0176-1617
VL - 290
JO - Journal of Plant Physiology
JF - Journal of Plant Physiology
M1 - 154116
ER -