Christoffer Bro

Reproducibility of oligonucleotide microarray transcriptome analyses. An interlaboratory comparison using chemostat cultures of Saccharomyces cerevisiae

Assessment of reproducibility of DNA-microarray analysis from published data sets is complicated by the use of different microbial strains, cultivation techniques, and analytical procedures. Because intra- and interlaboratory reproducibility is highly relevant for application of DNA-microarray analysis in functional genomics and metabolic engineering, we designed a set of experiments to specifically address this issue. Saccharomyces cerevisiae CEN.PK113-7D was grown under defined conditions in glucose-limited chemostats, followed by transcriptome analysis with Affymetrix GeneChip arrays. In each of the laboratories, three independent replicate cultures were grown aerobically as well as anaerobically. Although variations introduced by in vitrohandling steps were small and unbiased, greater variation from replicate cultures underscored that, to obtain reliable information, experimental replication is essential. Under aerobic conditions, 86% of the most highly expressed yeast genes showed an average intralaboratory coefficient of variation of 0.23. This is significantly lower than previously reported for shake-flask-culture transcriptome analyses and probably reflects the strict control of growth conditions in chemostats. Using the triplicate data sets and appropriate statistical analysis, the change calls from anaerobicversus aerobic comparisons yielded an over 95% agreement between the laboratories for transcripts that changed by over 2-fold, leaving only a small fraction of genes that exhibited laboratory bias.

Growth-rate regulated genes have profound impact on interpretation of transcriptome profiling in Saccharomyces cerevisiae

BackgroundGrowth rate is central to the development of cells in all organisms. However, little is known about the impact of changing growth rates. We used continuous cultures to control growth rate and studied the transcriptional program of the model eukaryote Saccharomyces cerevisiae, with generation times varying between 2 and 35 hours.ResultsA total of 5930 transcripts were identified at the different growth rates studied. Consensus clustering of these revealed that half of all yeast genes are affected by the specific growth rate, and that the changes are similar to those found when cells are exposed to different types of stress (>80% overlap). Genes with decreased transcript levels in response to faster growth are largely of unknown function (>50%) whereas genes with increased transcript levels are involved in macromolecular biosynthesis such as those that encode ribosomal proteins. This group also covers most targets of the transcriptional activator RAP1, which is also known to be involved in replication. A positive correlation between the location of replication origins and the location of growth-regulated genes suggests a role for replication in growth rate regulation.ConclusionOur data show that the cellular growth rate has great influence on transcriptional regulation. This, in turn, implies that one should be cautious when comparing mutants with different growth rates. Our findings also indicate that much of the regulation is coordinated via the chromosomal location of the affected genes, which may be valuable information for the control of heterologous gene expression in metabolic engineering.

The Mitochondrial Alcohol Dehydrogenase Adh3p Is Involved in a Redox Shuttle in Saccharomyces cerevisiae

NDI1 is the unique gene encoding the internal mitochondrial NADH dehydrogenase of Saccharomyces cerevisiae. The enzyme catalyzes the transfer of electrons from intramitochondrial NADH to ubiquinone. Surprisingly, NDI1 is not essential for respiratory growth. Here we demonstrate that this is due to in vivo activity of an ethanol-acetaldehyde redox shuttle, which transfers the redox equivalents from the mitochondria to the cytosol. Cytosolic NADH can be oxidized by the external NADH dehydrogenases. Deletion of ADH3, encoding mitochondrial alcohol dehydrogenase, did not affect respiratory growth in aerobic, glucose-limited chemostat cultures. Also, an ndi1Delta mutant was capable of respiratory growth under these conditions. However, when both ADH3 and NDI1 were deleted, metabolism became respirofermentative, indicating that the ethanol-acetaldehyde shuttle is essential for respiratory growth of the ndi1 delta mutant. In anaerobic batch cultures, the maximum specific growth rate of the adh3 delta mutant (0.22 h(-1)) was substantially reduced compared to that of the wild-type strain (0.33 h(-1)). This is consistent with the hypothesis that the ethanol-acetaldehyde shuttle is also involved in maintenance of the mitochondrial redox balance under anaerobic conditions. Finally, it is shown that another mitochondrial alcohol dehydrogenase is active in the adh3 delta ndi1 delta mutant, contributing to residual redox-shuttle activity in this strain.

Improvement of Galactose Uptake in Saccharomyces cerevisiae through Overexpression of Phosphoglucomutase: Example of Transcript Analysis as a Tool in Inverse Metabolic Engineering

ABSTRACT Through genome-wide transcript analysis of a reference strain and two recombinant Saccharomyces cerevisiae strains with different rates of galactose uptake, we obtained information about the global transcriptional response to metabolic engineering of the GAL gene regulatory network. One of the recombinant strains overexpressed the gene encoding the transcriptional activator Gal4, and in the other strain the genes encoding Gal80, Gal6, and Mig1, which are negative regulators of the GAL system, were deleted. Even though the galactose uptake rates were significantly different in the three strains, we surprisingly did not find any significant changes in the expression of the genes encoding the enzymes catalyzing the first steps of the pathway (i.e., the genes encoding Gal2, Gal1, Gal7, and Gal10). We did, however, find that PGM2, encoding the major isoenzyme of phosphoglucomutase, was slightly up-regulated in the two recombinant strains with higher galactose uptake rates. This indicated that PGM2 is a target for overexpression in terms of increasing the flux through the Leloir pathway, and through overexpression of PGM2 the galactose uptake rate could be increased by 70% compared to that of the reference strain. Based on our findings, we concluded that phosphoglucomutase plays a key role in controlling the flux through the Leloir pathway, probably due to increased conversion of glucose-1-phosphate to glucose-6-phosphate. This conclusion was supported by measurements of sugar phosphates, which showed that there were increased concentrations of glucose-6-phosphate, galactose-6-phosphate, and fructose-6-phosphate in the strain construct overexpressing PGM2.

The Roles of Galactitol, Galactose-1-Phosphate, and Phosphoglucomutase in Galactose-Induced Toxicity in Saccharomyces cerevisiae

The uptake and catabolism of galactose by the yeast Saccharomyces cerevisiae is much lower than for glucose and fructose, and in applications of this yeast for utilization of complex substrates that contain galactose, for example, lignocellulose and raffinose, this causes prolonged fermentations. Galactose is metabolized via the Leloir pathway, and besides the industrial interest in improving the flux through this pathway it is also of medical relevance to study the Leloir pathway. Thus, genetic disorders in the genes encoding galactose‐1‐phosphate uridylyltransferase or galactokinase result in galactose toxicity both in patients with galactosemia and in yeast. In order to elucidate galactose related toxicity, which may explain the low uptake and catabolic rates of S. cerevisiae, we have studied the physiological characteristics and intracellular metabolite profiles of recombinant S. cerevisiae strains with improved or impaired growth on galactose. Aerobic batch cultivations on galactose of strains with different combinations of overexpression of the genes GAL1, GAL2, GAL7, and GAL10, which encode proteins that together convert extracellular galactose into glucose‐1‐phosphate, revealed a decrease in the maximum specific growth rate when compared to the reference strain. The hypothesized toxic intermediate galactose‐1‐phosphate cannot be the sole cause of galactose related toxicity, but indications were found that galactose‐1‐phosphate might cause a negative effect through inhibition of phosphoglucomutase. Furthermore, we show that galactitol is formed in S. cerevisiae, and that the combination of elevated intracellular galactitol concentration, and the ratio between galactose‐1‐phosphate concentration and phosphoglucomutase activity seems to be important for galactose related toxicity causing decreased growth rates. Biotechnol. Bioeng. 2008;101: 317–326.

Yeast functional genomics and metabolic engineering: past, present and future

In recent years, metabolic engineering has been applied successfully for improvement of various fermentation processes. However, even single genetic changes usually result in multigene responses, which make it difficult to predict and understand the effects of introduced genetic changes. This is a direct consequence of complex regulatory systems and of redundancy in the control of pathway fluxes. Challenges in metabolic engineering therefore, involve multiple genetic changes and often engineering of complete regulatory pathways. For this reason metabolic engineering involves studies on cellular physiology and reconstruction of regulatory networks. Analytical techniques employed in functional genomics enable a global, whole-cell view and have thus become invaluable in metabolic engineering strategies. These techniques allow understanding of the complexity of cellular metabolism and insight into the cellular effects of genetic modifications introduced.