Antisense PNA accumulates in Escherichia coli and mediates a long post-antibiotic effect.

Antisense agents that target growth-essential genes display surprisingly potent bactericidal properties. In particular, peptide nucleic acid (PNA) and phosphorodiamidate morpholino oligomers linked to cationic carrier peptides are effective in time kill assays and as inhibitors of bacterial peritonitis in mice. It is unclear how these relatively large antimicrobials overcome stringent bacterial barriers and mediate killing. Here we determined the transit kinetics of peptide-PNAs and observed an accumulation of cell-associated PNA in Escherichia coli and slow efflux. An inhibitor of drug efflux pumps did not alter peptide-PNA potency, indicating a lack of active efflux from cells. Consistent with cell retention, the post-antibiotic effect (PAE) of the anti-acyl carrier protein (acpP) peptide-PNA was greater than 11 hours. Bacterial cell accumulation and a long PAE are properties of significant interest for antimicrobial development.

Enhancing the anaerobic response.

Proteome analysis, and more recently DNA chip technology, has led to the identification of a large number of genes that are implicated in the anaerobic response of plants. As a result, an increasingly complex picture of the response in terms of biochemical and regulatory processes is emerging. A challenge is to find out more about the function of these newly identified gene products, and how they contribute to flooding tolerance. Our approach has been to manipulate levels of candidate gene products (using sense and antisense constructs) in the model system Arabidopsis thaliana, combined with biochemical and phenotypic analysis of the resulting transgenic plants.

Expression profile analysis of the low-oxygen response in Arabidopsis root cultures.

We used DNA microarray technology to identify genes involved in the low-oxygen response of Arabidopsis root cultures. A microarray containing 3500 cDNA clones was screened with cDNA samples taken at various times (0.5, 2, 4, and 20 h) after transfer to low-oxygen conditions. A package of statistical tools identified 210 differentially expressed genes over the four time points. Principal component analysis showed the 0.5-h response to contain a substantially different set of genes from those regulated differentially at the other three time points. The differentially expressed genes included the known anaerobic proteins as well as transcription factors, signal transduction components, and genes that encode enzymes of pathways not known previously to be involved in low-oxygen metabolism. We found that the regulatory regions of genes with a similar expression profile contained similar sequence motifs, suggesting the coordinated transcriptional control of groups of genes by common sets of regulatory factors.