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Eukaryotic gene expression is regulated both at the transcription and the mRNA degradation levels. The implementation of functional genomics methods that allow the simultaneous measurement of transcription (TR) and degradation (DR) rates for thousands of mRNAs is a huge improvement in this field. One of the best established methods for mRNA stability determination is genomic run-on (GRO). It allows the measurement of DR, TR and mRNA levels during cell dynamic responses. Here, we offer a software package that provides improved algorithms for determination of mRNA stability during dynamic GRO experiments.

Thiolutin is commonly used as a general inhibitor of transcription in yeast. It has been used to calculate mRNA decay rates by stopping the transcription and then determining the relative abundance of individual mRNAs at different times after inhibition. We report here that thiolutin is also an inhibitor of mRNA degradation, and thus its use can lead to miscalculations of mRNA half-lives. The inhibition of mRNA decay seems to affect the mRNA degradation pathway without impeding poly(A) shortening, given that the decay rate of total poly(A) amount is not reduced by thiolutin. Moreover, the thiolutin-dependent inhibition of mRNA degradation has variable effects on different functional groups of genes, suggesting that they use various degradation pathways for their mRNAs.

The Saccharomyces cerevisiae GRX5 gene codes for a mitochondrial glutaredoxin involved in the synthesis ofiron/sulfur clusters. Its absence prevents respiratory growth and causes the accumulation of iron inside cellsand constitutive oxidation of proteins. Null Δgrx5 mutants were used as an example of continuously oxidizedcells, as opposed to situations in which oxidative stress is instantaneously caused by addition of external oxidants.Whole transcriptome analysis was carried out in the mutant cells. The set of genes whose expression wasaffected by the absence of Grx5 does not significantly overlap with the set of genes affected in respiratorypetite mutants. Many Aft1-dependent genes involved in iron utilization that are up-regulated in a frataxin mutantwere also up-regulated in the absence of Grx5. BIO5 is another Aft1-dependent gene induced both upon irondeprivation and in Δgrx5 cells; this links iron and biotin metabolism. Other genes are specifically affected underthe oxidative conditions generated by the grx5 mutation. One of these is MLP1, which codes for a homologueof the Slt2 kinase. Cells lacking MLP1 and GRX5 are hypersensitive to oxidative stress caused by externalagents and exhibit increased protein oxidation in relation to single mutants. This in turn points to a role forMlp1 in protection against oxidative stress. The genes of the Hap4 regulon, which are involved in respiratorymetabolism, are down-regulated in Δgrx5 cells. This effect is suppressed by HAP4 overexpression. Inhibition ofrespiratory metabolism during continuous moderately oxidative conditions could be a protective response bythe cell.

In order to clarify their physiological functions, we have undertaken a characterization of the three-membered gene families SNZ13 and SNO13. In media lacking vitamin B6, SNZ1 and SNO1 were both required for growth in certain conditions, but neither SNZ2, SNZ3, SNO2 nor SNO3 were required. Copies 2 and 3 of the gene products have, in spite of their extremely close sequence similarity, slightly different functions in the cell. We have also found that copies 2 and 3 are activated by the lack of thiamine and that the Snz proteins physically interact with the thiamine biosynthesis Thi5 protein family. Whereas copy 1 is required for conditions in which B6 is essential for growth, copies 2 and 3 seem more related with B1 biosynthesis during the exponential phase.

Saccharomyces cerevisiae strains frequently exhibit rather specific phenotypic features needed for adaptation to a special environment. Wine yeast strains are able to ferment musts, for example, while other industrial or laboratory strains fail to do so. The genetic differences that characterize wine yeast strains are poorly understood, however. As a first search of genetic differences between wine and laboratory strains, we performed DNA-array analyses on the typical wine yeast strain T73 and the standard laboratory background in S288c. Our analysis shows that even under normal conditions, logarithmic growth in YPD medium, the two strains have expression patterns that differ significantly in more than 40 genes. Subsequent studies indicated that these differences correlate with small changes in promoter regions or variations in gene copy number. Blotting copy numbers vs. transcript levels produced patterns, which were specific for the individual strains and could be used for a characterization of unknown samples. Copyright © 2001 John Wiley & Sons, Ltd.