Design and development of a DNA microarray for rapid identification of multiple European quarantine phytopathogenic bacteria

The European and Mediterranean Plant Protection Organization (EPPO) lists for quarantine status 26 phytopathogenic bacteria which pose serious economic threats to agricultural and natural ecosystems. A prototype diagnostic DNA microarray was developed for the rapid and simple identification of 22 of these quarantine bacteria. The microarray has 38 probes targeted to the 16S rDNA and the house-keeping genes rpoB, groEL and ftsZ. The 16S rDNA probes were selected according to a multiple-probe concept taking into account the hierarchical structure of phytobacterial systematics. Hybridisation with Cy3-labelled PCR products of corresponding genes enabled differentiation of the quarantine bacteria down to the species and subspecies level.     

The extinction risk of New Zealand chondrichthyans

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A high-density random-oligonucleotide genome microarray for universal diagnostics

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.     

Activation-induced B cell fates are selected by intracellular stochastic competition

In response to stimulation, B lymphocytes pursue a large number of distinct fates important for immune regulation. Whether each cell's fate is determined by external direction, internal stochastic processes, or directed asymmetric division is unknown. Measurement of times to isotype switch, to develop into a plasmablast, and to divide or to die for thousands of cells indicated that each fate is pursued autonomously and stochastically. As a consequence of competition between these processes, censorship of alternative outcomes predicts intricate correlations that are observed in the data. Stochastic competition can explain how the allocation of a proportion of B cells to each cell fate is achieved. The B cell may exemplify how other complex cell differentiation systems are controlled.     

The functions of biological diversity in an age of extinction

Ecosystems worldwide are rapidly losing taxonomic, phylogenetic, genetic, and functional diversity as a result of human appropriation of natural resources, modification of habitats and climate, and the spread of pathogenic, exotic, and domestic plants and animals. Twenty years of intense theoretical and empirical research have shown that such biotic impoverishment can markedly alter the biogeochemical and dynamic properties of ecosystems, but frontiers remain in linking this research to the complexity of wild nature, and in applying it to pressing environmental issues such as food, water, energy, and biosecurity. The question before us is whether these advances can take us beyond merely invoking the precautionary principle of conserving biodiversity to a predictive science that informs practical and specific solutions to mitigate and adapt to its loss.