s tered selleck catalog together while populations from the stress Inhibitors,Modulators,Libraries treat ment formed another cluster. As there is a high degree of similarity between the populations from a treatment, reads from each population from a treatment were used as biological replicates in testing for differen tial expression. Identification of genes responding to water stress conditions To identify genes responding to stress treatment, sam ples from control and stress treatments taken at the end of the stress treatment were analysed for dif ferential gene expression. Analysis of differential gene expression revealed a total of 5270 transcripts that were significantly differen tially expressed between the control and stress treatments. Read counts from the three libraries within each treatment are very similar.

A heatmap of gene expression of the top 200 genes is shown in Figure 3. Variance stabilized data obtained with DESeq pacckage was used to generate Inhibitors,Modulators,Libraries the heatmap. The gene expression patterns between the treatments are distinct while within each treatment they are similar. Gene identities of the most differentially expressed transcripts are shown in Table 3. Several heat shock proteins, cell wall genes such as expansins and drought stress related transcription factors are among the most strongly differen tially expressed genes. Gene Ontology enrichment analysis In order to determine the biological function of differen tially expressed genes between control and stress treatments, gene ontology based enrichment tests were performed. The top most significantly Inhibitors,Modulators,Libraries differ entially expressed genes were tested for enrichment using a web based tool.

Arabidopsis homologs of the predicted gene models were obtained by BLAST searches. A total of 175 gene categories were Inhibitors,Modulators,Libraries found to be significantly enriched among the genes that were differentially expressed be tween control and stress treatments. Of these, 140 categories were down regulated, while 35 categories were up regulated under stress treatment. Within the categories that were up regulated, most of them were involved in stress response. For example, four of the most significantly enriched gene categories are response to chemical, temperature, heat and abiotic stress stimu lus. Similarly most of the down regulated genes belonged to gene categories involved in metabolic pro cesses and cell wall organisation.

GSK-3 Identification of growth related genes To identify genes relating to growth and development we compared the gene expression between five plants from each population sampled at the beginning of the treatment and the same five plants sampled at the end of the treatment. Gene expression sellekchem analysis revealed a total of 3582 genes with significant differential expression between C0 and C1 samples. To study the expression patterns of these genes under stress conditions we compared the expression of significant genes from this analysis with those showing significant differential expression between control and stress treatments. In total there were 222