Sugar and ABA response pathways and the control of gene expression.

Sugars are essential to plant growth and metabolism, both as energy source and as structural components. Sugar production and use are in part controlled at the level of gene expression by the sugars themselves. Responses to sugar are closely integrated with response pathways that indicate environmental conditions such as light and water availability. High sugar levels inhibit seedling development, repress photosynthetic gene expression and induce genes of storage metabolism such as those of starch biosynthesis. Genetic approaches have demonstrated the importance of abscisic acid (ABA) and the transcriptional regulator ABA-insensitive4 (ABI4) in sugar response pathways. Recent analysis of both photosynthetic and starch biosynthetic gene promoters suggest a direct role for ABI4 in their control. The increased understanding of the regulatory promoter elements controlling gene expression, in response to sugar and ABA, allows transcriptional networks to be understood at a molecular level.

Establishing glucose- and ABA-regulated transcription networks in Arabidopsis by microarray analysis and promoter classification using a Relevance Vector Machine.

Establishing transcriptional regulatory networks by analysis of gene expression data and promoter sequences shows great promise. We developed a novel promoter classification method using a Relevance Vector Machine (RVM) and Bayesian statistical principles to identify discriminatory features in the promoter sequences of genes that can correctly classify transcriptional responses. The method was applied to microarray data obtained from Arabidopsis seedlings treated with glucose or abscisic acid (ABA). Of those genes showing >2.5-fold changes in expression level, approximately 70% were correctly predicted as being up- or down-regulated (under 10-fold cross-validation), based on the presence or absence of a small set of discriminative promoter motifs. Many of these motifs have known regulatory functions in sugar- and ABA-mediated gene expression. One promoter motif that was not known to be involved in glucose-responsive gene expression was identified as the strongest classifier of glucose-up-regulated gene expression. We show it confers glucose-responsive gene expression in conjunction with another promoter motif, thus validating the classification method. We were able to establish a detailed model of glucose and ABA transcriptional regulatory networks and their interactions, which will help us to understand the mechanisms linking metabolism with growth in Arabidopsis. This study shows that machine learning strategies coupled to Bayesian statistical methods hold significant promise for identifying functionally significant promoter sequences.

Expression analysis of the two ferrochelatase genes in Arabidopsis in different tissues and under stress conditions reveals their different roles in haem biosynthesis.

The Arabidopsis thaliana genome has two genes (AtFC-I and AtFC-II), encoding ferrochelatase, the terminal enzyme of haem biosynthesis. The roles of the two enzymes in the synthesis of haem for different haemoproteins was investigated using reporter gene analysis. A 1.41 kb fragment from the 5' upstream region of the AtFC-II gene was fused to the luciferase gene, and then introduced into tobacco plants, followed by luciferase activity measurements. AtFC-II-LUCwas expressed in all aerial parts of the plant, and was highest in flowers, but it was not expressed in roots. It was unaffected by viral infection, and considerably reduced by wounding or oxidative stress. Similarly, a 1.76 kb region of the AtFC-I promoter was fused to the uidA gene encoding beta-glucuronidase. AtFC-I-GUS was expressed in all tissues of the plant, but was higher in roots and flowers than in leaves or stems. It was induced by sucrose, wounding and oxidative stress and, most markedly, by plants undergoing the hypersensitive response to TMV infection. Levels of endogenous ferrochelatase activity were increased in pea chloroplasts isolated from wounded leaves, indicating that the induction in promoter activity is likely to result in increased haem biosynthetic potential. Salicylic acid, but not methyl-jasmonate was able to replace the stress treatment in induction of AtFC-I expression, suggesting that the requirement for haem synthesis is part of the defence response. The implications of the results for the different roles of the two ferrochelatases in haem biosynthesis are discussed.