TY  - JOUR
A1  - Sulpice, Ronan
A1  - Pyl, Eva-Theresa
A1  - Ishihara, Hirofumi
A1  - Trenkamp, Sandra
A1  - Steinfath, Matthias
A1  - Witucka-Wall, Hanna
A1  - Gibon, Yves
A1  - Usadel, Björn
A1  - Poree, Fabien
A1  - Piques, Maria Conceicao
A1  - von Korff, Maria
A1  - Steinhauser, Marie Caroline
A1  - Keurentjes, Joost J. B.
A1  - Guenther, Manuela
A1  - Hoehne, Melanie
A1  - Selbig, Joachim
A1  - Fernie, Alisdair R.
A1  - Altmann, Thomas
A1  - Stitt, Mark
T1  - Starch as a major integrator in the regulation of plant growth
N2  - Rising demand for food and bioenergy makes it imperative to breed for increased crop yield. Vegetative plant growth could be driven by resource acquisition or developmental programs. Metabolite profiling in 94 Arabidopsis accessions revealed that biomass correlates negatively with many metabolites, especially starch. Starch accumulates in the light and is degraded at night to provide a sustained supply of carbon for growth. Multivariate analysis revealed that starch is an integrator of the overall metabolic response. We hypothesized that this reflects variation in a regulatory network that balances growth with the carbon supply. Transcript profiling in 21 accessions revealed coordinated changes of transcripts of more than 70 carbon-regulated genes and identified 2 genes (myo-inositol-1- phosphate synthase, a Kelch-domain protein) whose transcripts correlate with biomass. The impact of allelic variation at these 2 loci was shown by association mapping, identifying them as candidate lead genes with the potential to increase biomass production.
Y1  - 2009
UR  - http://www.pnas.org/
U6  - https://doi.org/10.1073/pnas.0903478106
SN  - 0027-8424
ER  - 
TY  - JOUR
A1  - Sulpice, Ronan
A1  - Nikoloski, Zoran
A1  - Tschoep, Hendrik
A1  - Antonio, Carla
A1  - Kleessen, Sabrina
A1  - Larhlimi, Abdelhalim
A1  - Selbig, Joachim
A1  - Ishihara, Hirofumi
A1  - Gibon, Yves
A1  - Fernie, Alisdair R.
A1  - Stitt, Mark
T1  - Impact of the Carbon and Nitrogen Supply on Relationships and Connectivity between Metabolism and Biomass in a Broad Panel of Arabidopsis Accessions(1[W][OA])
JF  - Plant physiology : an international journal devoted to physiology, biochemistry, cellular and molecular biology, biophysics and environmental biology of plants
N2  - Natural genetic diversity provides a powerful tool to study the complex interrelationship between metabolism and growth. Profiling of metabolic traits combined with network-based and statistical analyses allow the comparison of conditions and identification of sets of traits that predict biomass. However, it often remains unclear why a particular set of metabolites is linked with biomass and to what extent the predictive model is applicable beyond a particular growth condition. A panel of 97 genetically diverse Arabidopsis (Arabidopsis thaliana) accessions was grown in near-optimal carbon and nitrogen supply, restricted carbon supply, and restricted nitrogen supply and analyzed for biomass and 54 metabolic traits. Correlation-based metabolic networks were generated from the genotype-dependent variation in each condition to reveal sets of metabolites that show coordinated changes across accessions. The networks were largely specific for a single growth condition. Partial least squares regression from metabolic traits allowed prediction of biomass within and, slightly more weakly, across conditions (cross-validated Pearson correlations in the range of 0.27-0.58 and 0.21-0.51 and P values in the range of <0.001-<0.13 and <0.001-<0.023, respectively). Metabolic traits that correlate with growth or have a high weighting in the partial least squares regression were mainly condition specific and often related to the resource that restricts growth under that condition. Linear mixed-model analysis using the combined metabolic traits from all growth conditions as an input indicated that inclusion of random effects for the conditions improves predictions of biomass. Thus, robust prediction of biomass across a range of conditions requires condition-specific measurement of metabolic traits to take account of environment-dependent changes of the underlying networks.
Y1  - 2013
U6  - https://doi.org/10.1104/pp.112.210104
SN  - 0032-0889
SN  - 1532-2548
VL  - 162
IS  - 1
SP  - 347
EP  - 363
PB  - American Society of Plant Physiologists
CY  - Rockville
ER  -