Functional characterization of genes encoding cadmium pumping P-type ATPases in and .

Several P-type ATPases are important Cd/Cu pumps in species, and they are tightly associated with the heavy metal stress tolerance of these ascomycetous fungi. To better understand the roles of the two P-type ATPases, CrpA Cd/Cu pump (orthologue of the Cd/Cu pump) and PcaA Cd pump (orthologue of the Pca1 Cd pump), we have generated individual mutants and characterized their heavy metal susceptibilities. The deletion of CrpA in has led to the increased sensitivity of the fungus to stresses induced by Zn, Fe, or the combination of oxidative-stress-inducing menadione sodium bisulfite and Fe.

Effect of the combinatorial iron-chelation and oxidative stress on the growth of Aspergillus species.

The growth of 14 Aspergillus strains belonging to nine species was studied under combinatorial deferriprone - HO (iron-chelation - oxidative) stress. When deferriprone pretreated mycelia were subjected to even a weak oxidative stress, the growth inhibitory effect of iron-chelation stress was enhanced in 10 out of 14 strains. In contrast, oxidative stress pretreatment of conidia increased their deferriprone tolerance in 10 strains.

Strategies Shaping the Transcription of Carbohydrate-Active Enzyme Genes in .

Understanding the coordinated regulation of the hundreds of carbohydrate-active enzyme (CAZyme) genes occurring in the genomes of fungi has great practical importance. We recorded genome-wide transcriptional changes of cultivated on glucose, lactose, or arabinogalactan, as well as under carbon-starved conditions. We determined both carbon-stress-specific changes (weak or no carbon source vs.

General stress response or adaptation to rapid growth in Aspergillus nidulans?

Genome-wide transcriptional changes in Aspergillus nidulans induced by nine different stress conditions were evaluated to reveal the general environmental stress response gene set showing unidirectional expressional changes under various types of stress. Clustering the genes by their transcriptional changes was a useful technique for identifying large groups of co-regulated genes. Altogether, 1642 co-upregulated and 3916 co-downregulated genes were identified.