Network analysis of enzyme activities and metabolite levels and their relationship to biomass in a large panel of Arabidopsis accessions.
Natural genetic diversity provides a powerful resource to investigate how networks respond to multiple simultaneous changes. In this work, we profile maximum catalytic activities of 37 enzymes from central metabolism and generate a matrix to investigate species-wide connectivity between metabolites, enzymes, and biomass. Most enzyme activities change in a highly coordinated manner, especially those in the Calvin-Benson cycle. Metabolites show coordinated changes in defined sectors of metabolism. Little connectivity was observed between maximum enzyme activities and metabolites, even after applying multivariate analysis methods. Measurements of posttranscriptional regulation will be required to relate these two functional levels. Individual enzyme activities correlate only weakly with biomass. However, when they are used to estimate protein abundances, and the latter are summed and expressed as a fraction of total protein, a significant positive correlation to biomass is observed. The correlation is additive to that obtained between starch and biomass. Thus, biomass is predicted by two independent integrative metabolic biomarkers: preferential investment in photosynthetic machinery and optimization of carbon use.
Sulpice
Ronan
R
Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany. sulpice@mpmip-golm.mpg.de
Trenkamp
Sandra
S
Steinfath
Matthias
M
Usadel
Bjorn
B
Gibon
Yves
Y
Witucka-Wall
Hanna
H
Pyl
Eva-Theresa
ET
Tschoep
Hendrik
H
Steinhauser
Marie Caroline
MC
Guenther
Manuela
M
Hoehne
Melanie
M
Rohwer
Johann M
JM
Altmann
Thomas
T
Fernie
Alisdair R
AR
Stitt
Mark
M
D017360:Arabidopsis / Q000201:enzymology* / Q000235:genetics; D029681:Arabidopsis Proteins / Q000235:genetics / Q000378:metabolism*; D018533:Biomass; D020869:Gene Expression Profiling; D014644:Genetic Variation; D015999:Multivariate Analysis
D029681:Arabidopsis Proteins