Microarrays offer virtually unlimited diagnostics capability, and have already been developed into diagnostic chips for many different plant pests. The full capacity of such chips, however, has lagged far behind their full potential. The main reason for this is that current chip design relies on a priori genetic information for target organisms and on a consensus on the genetic sequences to be used in particular organism groups. Such information is often unavailable and laborious to obtain. Thus, broad-application diagnostic microarrays have been limited to narrow organism groups focused on Genera of pests/pathogens or those affecting individual host crops, without applicability for simultaneous detection of diverse pests affecting many crops. This paper describes the development of a diagnostic microarray platform that has universal application based on genomic fingerprinting of any organism without a need for a priori sequence information. Taxon-specific hybridization patterns are obtained by unique hybridisation of genomic DNA to 100s–1000s of short random oligonucleotide probes. Taxon identification is then achieved by comparison of hybridisation patterns from an unknown sample against a reference-pattern database. Using bacteria as a model pathogen group, these methods deliver highly reproducible hybridisation patterns with high resolution power and enable discrimination at the species and subspecies level.