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Vassilis Mersinias

Publications and source records attributed to Vassilis Mersinias.

4 recordsLinked to original sources

Analysis of gene expression in operons of Streptomyces coelicolor.

BACKGROUND: Recent studies have shown that microarray-derived gene-expression data are useful for operon prediction. However, it is apparent that genes within an operon do not conform to the simple notion that they have equal levels of expression. RESULTS: To investigate the relative transcript levels of intra-operonic genes, we have used a Z-score approach to normalize the expression levels of all genes within an operon to expression of the first gene of that operon. Here we demonstrate that there is a general downward trend in expression from the first to the last gene in Streptomyces coelicolor operons, in contrast to what we observe in Escherichia coli. Combining transcription-factor binding-site prediction with the identification of operonic genes that exhibited higher transcript levels than the first gene of the same operon enabled the discovery of putative internal promoters. The presence of transcription terminators and abundance of putative transcriptional control sequences in S. coelicolor operons are also described. CONCLUSION: Here we have demonstrated a polarity of expression in operons of S. coelicolor not seen in E. coli, bringing caution to those that apply operon prediction strategies based on E. coli 'equal-expression' to divergent species. We speculate that this general difference in transcription behavior could reflect the contrasting lifestyles of the two organisms and, in the case of Streptomyces, might also be influenced by its high G+C content genome. Identification of putative internal promoters, previously thought to cause problems in operon prediction strategies, has also been enabled.

Bacterial Proteins↗

MILVA: an interactive tool for the exploration of multidimensional microarray data.

MOTIVATION: Clustering techniques such as k-means and hierarchical clustering are commonly used to analyze DNA microarray derived gene expression data. However, the interactions between processes underlying the cell activity suggest that the complexity of the microarray data structure may not be fully represented with discrete clustering methods. RESULTS: A newly developed software tool called MILVA (microarray latent visualization and analysis) is presented here to investigate microarray data without separating gene expression profiles into discrete classes. The underpinning of the MILVA software is the two-dimensional topographic representation of multidimensional microarray data. On this basis, the interactive MILVA functions allow a continuous exploration of microarray data driven by the direct supervision of the biologist in detecting activity patterns of co-regulated genes. AVAILABILITY: The MILVA software is freely available. The software and the related documentation can be downloaded from http://www.ncrg.aston.ac.uk/Projects/milva. User 'surrey' as username and '3245' as password to login. The software is currently available for Windows platform only.

Cluster Analysis↗

A bacterial hormone (the SCB1) directly controls the expression of a pathway-specific regulatory gene in the cryptic type I polyketide biosynthetic gene cluster of Streptomyces coelicolor.

Gamma-butyrolactone signalling molecules are produced by many Streptomyces species, and several have been shown to regulate antibiotic production. In Streptomyces coelicolor A3(2) at least one gamma-butyrolactone (SCB1) has been shown to stimulate antibiotic production, and genes encoding proteins that are involved in its synthesis (scbA) and binding (scbR) have been characterized. Expression of these genes is autoregulated by a complex mechanism involving the gamma-butyrolactone. In this study, additional genes influenced by ScbR were identified by DNA microarray analysis, and included a cryptic cluster of genes for a hypothetical type I polyketide. Further analysis of this gene cluster revealed that the pathway-specific regulatory gene, kasO, is a direct target for regulation by ScbR. Gel retardation and DNase I footprinting analyses identified two potential binding sites for ScbR, one at -3 to -35 nt and the other at -222 to -244 nt upstream of the kasO transcriptional start site. Addition of SCB1 eliminated the DNA binding activity of ScbR at both sites. The expression of kasO was growth phase regulated in the parent (maximal during transition phase), undetectable in a scbA null mutant, and constitutively expressed in a scbR null mutant. Addition of SCB1 to the scbA mutant restored the expression of kasO, indicating that ScbR represses kasO until transition phase, when presumably SCB1 accumulates in sufficient quantity to relieve kasO repression. Expression of the cryptic antibiotic gene cluster was undetectable in a kasO deletion mutant. This is the first report with comprehensive in vivo and in vitro data to show that a gamma-butyrolactone-binding protein directly regulates a secondary metabolite pathway-specific regulatory gene in Streptomyces.

4-Butyrolactone↗

SsgA-like proteins determine the fate of peptidoglycan during sporulation of Streptomyces coelicolor.

During developmental cell division in sporulation-committed aerial hyphae of streptomycetes, up to a hundred septa are simultaneously produced, in close harmony with synchromous chromosome condensation and segregation. Several unique protein families are involved in the control of this process in actinomycetes, including that of the SsgA-like proteins (SALPs). Mutants for each of the individual SALP genes were obtained, and high-resolution and fluorescence imaging revealed that each plays an important and highly specific role in the control of the sporulation process, and their function relates to the build-up and degradation of septal and spore-wall peptidoglycan. While SsgA and SsgB are essential for sporulation-specific cell division in Streptomyces coelicolor, SsgC-G are responsible for correct DNA segregation/condensation (SsgC), spore wall synthesis (SsgD), autolytic spore separation (SsgE, SsgF) or exact septum localization (SsgG). Our experiments paint a picture of a novel protein family that acts through timing and localization of the activity of penicillin-binding proteins and autolysins, thus controlling important steps during the initiation and the completion of sporulation in actinomycetes.

Bacterial Proteins↗