MCO: towards an ontology and unified vocabulary for a framework-based annotation of microbial growth conditions.

MOTIVATION: A major component in increasing our understanding of the biology of an organism is the mapping of its genotypic potential into its phenotypic expression profiles. This mapping is executed by the machinery of gene regulation, which is essentially studied by changes in growth conditions. Although many efforts have been made to systematize the annotation of experimental conditions in microbiology, the available annotations are not based on a consistent and controlled vocabulary, making difficult the identification of biologically meaningful comparisons of knowledge derived from different experiments or laboratories. RESULTS: We curated terms related to experimental conditions that affect gene expression in Escherichia coli K-12. Since this is the best-studied microorganism, the collected terms are the seed for the Microbial Conditions Ontology (MCO), a controlled and structured vocabulary that can be expanded to annotate microbial conditions in general. Moreover, we developed an annotation framework to describe experimental conditions, providing the foundation to identify regulatory networks that operate under particular conditions. AVAILABILITY AND IMPLEMENTATION: As far as we know, MCO is the first ontology for growth conditions of any bacterial organism, and it is available at http://regulondb.ccg.unam.mx and https://github.com/microbial-conditions-ontology. Furthermore, we will disseminate MCO throughout the Open Biological and Biomedical Ontology (OBO) Foundry in order to set a standard for the annotation of gene expression data. This will enable comparison of data from diverse data sources. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Carbon Catabolite Regulation of Secondary Metabolite Formation and Morphological Differentiation in Streptomyces coelicolor.

In the genus Streptomyces, carbon utilization is of significant importance for the expression of genes involved in morphological differentiation and antibiotic production. However, there is little information about the mechanism involved in these effects. In the present work, it was found that glucose exerted a suppressive effect on the Streptomyces coelicolor actinorhodin (Act) and undecylprodigiosin (Red) production, as well as in its morphological differentiation. Accordingly, using a high-density microarray approach in S. coelicolor grown under glucose repression, at early growth stages, a negative effect was exerted on the transcription of genes involved in Act and Red production, when compared with non-repressive conditions. Seven genes of Act and at least ten genes of Red production were down-regulated by glucose. Stronger repression was observed on the initial steps of antibiotics formation. On the contrary, the coelimycin P1 cluster was up-regulated by glucose. Regarding differentiation, no sporulation was observed in the presence of glucose and expression of a set of genes of the bld cascade was repressed as well as chaplins and rodlins genes. Finally, a series of transcriptional regulators involved in both processes were up- or down-regulated by glucose. This is the first global transcriptomic approach performed to understand the molecular basis of the glucose effect on the synthesis of secondary metabolism and differentiation in the genus Streptomyces. The results of this study are opening new avenues for further exploration.