Optimization of an oligonucleotide microchip for microbial identification studies: a non‐equilibrium dissociation approach

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<jats:title>Summary</jats:title><jats:p>The utility of a high‐density oligonucleotide microarray (microchip) for identifying strains of five closely related bacilli (<jats:italic>Bacillus anthracis</jats:italic>, <jats:italic>Bacillus cereus</jats:italic>, <jats:italic>Bacillus mycoides</jats:italic>, <jats:italic>Bacillus medusa</jats:italic> and <jats:italic>Bacillus subtilis</jats:italic>) was demonstrated using an approach that compares the non‐equilibrium dissociation rates (‘melting curves’) of all probe–target duplexes simultaneously. For this study, a hierarchical set of 30 oligonucleotide probes targeting the 16S ribosomal RNA of these bacilli at multiple levels of specificity (approximate taxonomic ranks of domain, kingdom, order, genus and species) was designed and immobilized in a high‐density matrix of gel pads on a glass slide. Reproducible melting curves for probes with different levels of specificity were obtained using an optimized salt concentration. Clear discrimination between perfect match (PM) and mismatch (MM) duplexes was achieved. By normalizing the signals to an internal standard (a universal probe), a more than twofold discrimination (> 2.4×) was achieved between PM and 1‐MM duplexes at the dissociation temperature at which 50% of the probe–target duplexes remained intact. This provided excellent differentiation among representatives of different <jats:italic>Bacillus</jats:italic> species, both individually and in mixtures of two or three. The overall pattern of hybridization derived from this hierarchical probe set also provided a clear ‘chip fingerprint’ for each of these closely related <jats:italic>Bacillus</jats:italic> species.</jats:p>

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