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Glycerolipid metabolism of plants responds dynamically to changes in light intensity and temperature, leading to the modification of membrane lipid composition to ensure optimal biochemical and physical properties in the new environment. Although multiple posttranscriptional regulatory mechanisms have been reported to be involved in the process, the contribution of transcriptional regulation remains largely unknown. Here, we present an integrative analysis of transcriptomic and lipidomic data, revealing large-scale coordination between gene expression and changes in glycerolipid levels during the Arabidopsis thaliana response to light and temperature stimuli. Using a multivariate regression technique called O2PLS, we show that the gene expression response is strictly coordinated at the biochemical pathway level and occurs in parallel with changes of specific glycerolipid pools. Five interesting candidate genes were chosen for further analysis from a larger set of candidates identified based on their close association with various groups of glycerolipids. Lipidomic analysis of knockout mutant lines of these five genes showed a significant relationship between the coordination of transcripts and glycerolipid levels in a changing environment and the effects of single gene perturbations.
Glycerolipid metabolism of plants responds dynamically to changes in light intensity and temperature, leading to the modification of membrane lipid composition to ensure optimal biochemical and physical properties in the new environment. Although multiple posttranscriptional regulatory mechanisms have been reported to be involved in the process, the contribution of transcriptional regulation remains largely unknown. Here, we present an integrative analysis of transcriptomic and lipidomic data, revealing large-scale coordination between gene expression and changes in glycerolipid levels during the Arabidopsis thaliana response to light and temperature stimuli. Using a multivariate regression technique called O2PLS, we show that the gene expression response is strictly coordinated at the biochemical pathway level and occurs in parallel with changes of specific glycerolipid pools. Five interesting candidate genes were chosen for further analysis from a larger set of candidates identified based on their close association with various groups of glycerolipids. Lipidomic analysis of knockout mutant lines of these five genes showed a significant relationship between the coordination of transcripts and glycerolipid levels in a changing environment and the effects of single gene perturbations.
SUMMARYPlants need to continuously adjust their transcriptome in response to various stresses that lead to inhibition of photosynthesis and the deprivation of cellular energy. This adjustment is triggered in part by a coordinated re-programming of the energy-associated transcriptome to slow down photosynthesis and activate other energy-promoting gene networks. Therefore, understanding the stress-related transcriptional networks of genes belonging to energy-associated pathways is of major importance for engineering stress tolerance. In a bioinformatics approach developed by our group, termed 'gene coordination', we previously divided genes encoding for enzymes and transcription factors in Arabidopsis thaliana into three clusters, displaying altered coordinated transcriptional behaviors in response to multiple biotic and abiotic stresses (Plant Cell, 23, 2011, 1264. Enrichment analysis indicated further that genes controlling energy-associated metabolism operate as a compound network in response to stress. In the present paper, we describe in detail the network association of genes belonging to six central energy-associated pathways in each of these three clusters described in our previous paper. Our results expose extensive stress-associated intra-and inter-pathway interactions between genes from these pathways, indicating that genes encoding proteins involved in energy-associated metabolism are expressed in a highly coordinated manner. We also provide examples showing that this approach can be further utilized to elucidate candidate genes for stress tolerance and functions of isozymes.
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