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Fig. 2 | Biotechnology for Biofuels

Fig. 2

From: Systems analysis of ethanol production in the genetically engineered cyanobacterium Synechococcus sp. PCC 7002

Fig. 2

Global evaluation of metabolome analyses of the time course of ethanol production in an engineered Synechococcus 7002 producer strain compared to WT. a Principal component analysis (PCA) of log2-transformed metabolite pool size changes of producer and WT relative to the mean of each metabolite across all samples. Principal components, PC1 and PC2 represent 51.1 and 26.9% of total variance in the data set. b Hierarchical cluster analysis (HCA) of differential profiles, i.e. log2-transformed ratios of producer over WT at each time point. HCA was performed using Euclidian distance and average linkage. Data are averages of two producer and two WT batch cultures, respectively. Cells from each culture were harvested 6 times at each time point in the middle of a 12 h light phase (±10 min) as described under “Methods” section. WT and producer were probed in parallel, not sequentially. Cultivation phases I–III were assigned according to the matching PCA and HCA results

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