Extracellular signalling, translational control, two repressors and an activator all contribute to the regulation of methylenomycin production in Streptomyces coelicolor.

Bioinformatic analysis of the plasmid-linked gene cluster associated with biosynthesis of methylenomycin (Mm) suggested that part of the cluster directs synthesis of a gamma-butyrolactone-like autoregulator. Autoregulator activity could be extracted from culture fluids, but differed from gamma-butyrolactones in being alkali resistant. The activity has recently been shown to comprise a series of novel autoregulator molecules, the methylenomycin furans (termed MMF). MMF autoregulator activity is shown to account for the ability of certain Mm non-producing mutants to act as 'secretors' in cosynthesis with other 'convertor' mutants. Three genes implicated in MMF biosynthesis are flanked by two regulatory genes, which are related to genes for gamma-butyrolactone-binding proteins. Genetic evidence suggests that these two genes encode components of a hetero-oligomeric repressor of MMF and Mm biosynthesis. The Mm biosynthetic genes themselves depend on the activator gene mmyB, which appears to be repressed by the putative MmyR/MmfR complex until enough MMF accumulates to release repression. The presence of TTA codons in mmyB and the main MMF biosynthetic gene causes Mm production to be dependent on the pleiotropically acting bldA gene, which encodes the tRNA for the rarely used UUA codon.

The border sequence of the balhimycin biosynthesis gene cluster from Amycolatopsis balhimycina contains bbr, encoding a StrR-like pathway-specific regulator.

Balhimycin, produced by the actinomycete Amycolatopsis balhimycina DSM5908, is a glycopeptide antibiotic highly similar to vancomycin, the antibiotic of 'last resort' used for the treatment of resistant Gram-positive pathogenic bacteria. Partial sequence of the balhimycin biosynthesis gene cluster was previously reported. In this work, cosmids which overlap the region of the characterized gene cluster were isolated and sequenced. At the 'left' end of the cluster, genes were identified which are involved in balhimycin biosynthesis, transport, resistance and regulation. The 'right' end border is defined by a putative 3-deoxy-D-arabino-heptulosonate 7-phosphate synthase (dahp) gene. The proximate gene is similar to a type I polyketide synthase gene of the rifamycin producer Amycolatopsis mediterranei indicating that another biosynthesis gene cluster might be located directly next to the balhimycin gene cluster. The newly identified StrR-like pathway-specific regulator, Bbr, was characterized to be a DNA-binding protein and may have a role in balhimycin biosynthesis. Purified N-terminally His-tagged Bbr shows specific DNA-binding to five promoter regions within the gene cluster. By in silico analysis and by comparison of the DNA sequences binding Bbr, conserved inverted repeat sequences for the Bbr-binding site are proposed. The putative Bbr consensus sequence differs from that published for StrR.

The genome of the novel phage Rtp, with a rosette-like tail tip, is homologous to the genome of phage T1.

A new Escherichia coli phage, named Rtp, was isolated and shown to be closely related to phage T1. Electron microscopy revealed that phage Rtp has a morphologically unique tail tip consisting of four leaf-like structures arranged in a rosette, whereas phage T1 has thinner, flexible leaves that thicken toward the ends. In contrast to T1, Rtp did not require FhuA and TonB for infection. The 46.2-kb genome of phage Rtp encodes 75 open reading frames, 47 of which are homologous to phage T1 genes. Like phage T1, phage Rtp encodes a large number of small genes at the genome termini that exhibit no sequence similarity to known genes. Six predicted genes larger than 300 nucleotides in the highly homologous region of Rtp are not found in T1. Two predicted HNH endonucleases are encoded at positions different from those in phage T1. The sequence similarity of rtp37, -38, -39, -41, -42, and -43 to equally arranged genes of lambdoid phages suggests a common tail assembly initiation complex. Protein Rtp43 is homologous to the lambda J protein, which determines lambda host specificity. Since the two proteins differ most in the C-proximal area, where the binding site to the LamB receptor resides in the J protein, we propose that Rtp43 contributes to Rtp host specificity. Lipoproteins similar to the predicted lipoprotein Rtp45 are found in a number of phages (encoded by cor genes) in which they prevent superinfection by inactivating the receptors. We propose that, similar to the proposed function of the phage T5 lipoprotein, Rtp45 prevents inactivation of Rtp by adsorption to its receptor during cells lysis. Rtp52 is a putative transcriptional regulator, for which 10 conserved inverted repeats were identified upstream of genes in the Rtp genome. In contrast, the much larger E. coli genome has only one such repeat sequence.

Analysis of whole-genome microarray replicates using mixed models.

MOTIVATION: Microarray experiments are inherently noisy. Replication is the key to estimating realistic fold-changes despite such noise. In the analysis of the various sources of noise the dependency structure of the replication needs to be taken into account. RESULTS: We analyzed replicate data sets from a Mycobacterium tuberculosis trcS mutant in order to identify differentially expressed genes and suggest new methods for filtering and normalizing raw array data and for imputing missing values. Mixed ANOVA models are applied to quantify the various sources of error. Such analysis also allows us to determine the optimal number of samples and arrays. Significance values for differential expression are obtained by a hierarchical bootstrapping scheme on scaled residuals. Four highly upregulated genes, including bfrB, were analyzed further. We observed an artefact, where transcriptional readthrough from these genes led to apparent upregulation of adjacent genes. AVAILABILITY: All methods and data discussed are available in the package YASMAhttp://www.cryst.bbk.ac.uk/wernisch/yasma.html for the statistical data analysis system R (http://www.R-project.org).

Microarray analysis of bacterial gene expression: towards the regulome.

Microarray technology allows co-regulated genes to be identified. In order to identify genes that are controlled by specific regulators, gene expression can be compared in mutant and wild-type bacteria. However, there are a number of pitfalls with this approach; in particular, the regulator may not be active under the conditions in which the wild-type strain is cultured. Once co-regulated genes have been identified, proteinbinding motifs can be identified. By combining these data with a map of promoters, or operons (the operome), the regulatory networks in the cell (the regulome) can start to be built up.