RcoA has pleiotropic effects on aspergillus nidulans cellular development

The definitive version is available at www.blackwell-synergy.comAspergillus nidulans rcoA encodes a member of the WD repeat family of proteins. The RcoA protein shares sequence similarity with other members of this protein family, including the Saccharomyces cerevisiae Tup1p and Neurospora crassa RCO1. Tup1p is involved in negative regulation of an array of functions including carbon catabolite repression. RCO1 functions in regulating pleiotropic developmental processes, but not carbon catabolite repression. In A. nidulans, deletion of rcoA (DrcoA), a recessive mutation, resulted in gross defects in vegetative growth, asexual spore production and sterigmatocystin (ST) biosynthesis. Expression of the asexual and ST pathway-specific regulatory genes, brlA and aflR, respectively, but not the signal transduction genes (i.e. flbA, fluG or fadA) regulating brlA and aflR expression was delayed (brlA) or eliminated (aflR) in a DrcoA strain. Overexpression of aflR in a DrcoA strain could not rescue normal expression of downstream targets of AflR. CreAdependent carbon catabolite repression of starch and ethanol utilization was only weakly affected in a DrcoA strain. The strong role of RcoA in development, vegetative growth and ST production, compared with a relatively weak role in carbon catabolite repression, is similar to the role of RCO1 in N. crassa.Julie Hicks, Robin A. Lockington, Joseph Strauss, Daniel Dieringer, Christian P. Kubicek, Joan Kelly and Nancy Kelle

Global nutrient profiling by Phenotype MicroArrays: a tool complementing genomic and proteomic studies in conidial fungi*

Conidial fungi or molds and mildews are widely used in modern biotechnology as producers of antibiotics and other secondary metabolites, industrially important enzymes, chemicals and food. They are also important pathogens of animals including humans and agricultural crops. These various applications and extremely versatile natural phenotypes have led to the constantly growing list of complete genomes which are now available. Functional genomics and proteomics widely exploit the genomic information to study the cell-wide impact of altered genes on the phenotype of an organism and its function. This allows for global analysis of the information flow from DNA to RNA to protein, but it is usually not sufficient for the description of the global phenotype of an organism. More recently, Phenotype MicroArray (PM) technology has been introduced as a tool to characterize the metabolism of a (wild) fungal strain or a mutant. In this article, we review the background of PM applications for fungi and the methodic requirements to obtain reliable results. We also report examples of the versatility of this tool