The cyanobacteria are photosynthetic prokaryotes of significant ecological and biotechnological interest, since they strongly contribute to primary production and are a rich source of bioactive compounds. In eutrophic fresh and brackish waters, their mass occurrences (water blooms) are often toxic and constitute a high potential risk for human health. Therefore, rapid and reliable identification of cyanobacterial species in complex environmental samples is important. Here we describe the development and validation of a microarray for the identification of cyanobacteria in aquatic environments. Our approach is based on the use of a ligation detection reaction coupled to a universal array. Probes were designed for detecting 19 cyanobacterial groups including Anabaena/Aphanizomenon, Calothrix, Cylindrospermopsis, Cylindrospermum, Gloeothece, halotolerants, Leptolyngbya, Palau Lyngbya, Microcystis, Nodularia, Nostoc, Planktothrix, Antarctic Phormidium, Prochlorococcus, Spirulina, Synechococcus, Synechocystis, Trichodesmium, and Woronichinia. These groups were identified based on an alignment of over 300 cyanobacterial 16S rRNA sequences. For validation of the microarrays, 95 samples (24 axenic strains from culture collections, 27 isolated strains, and 44 cloned fragments recovered from environmental samples) were tested. The results demonstrated a high discriminative power and sensitivity to 1 fmol of the PCR-amplified 16S rRNA gene. Accurate identification of target strains was also achieved with unbalanced mixes of PCR amplicons from different cyanobacteria and an environmental sample. Our universal array method shows great potential for rapid and reliable identification of cyanobacteria. It can be easily adapted to future development and could thus be applied both in research and environmental monitoring.

Human leukocyte antigen (HLA) class I genes present some of the most complex single nucleotide polymorphism (SNP) patterns in the human genome. HLA typing is therefore extremely challenging. In this article, we use the ligation detection reaction (LDR) combined with a universal array (UA) as a robust and efficient method to analyze SNPs within the HLA-A region that includes HLA-A alleles of interest for immunotherapy in tumor diseases. The LDR, combined with a UA platform, has been optimized for the detection of 27 alleles distributed within exons 2 and 3 of HLA-A. The assay involves the amplification by PCR of the HLA-A genomic region (1,900 bp), the cycled ligation reaction, followed by the capture of ligated products through hybridization onto a UA. Each slide was designed to allow the detection of up to eight samples in parallel. The PCR/LDR/UA HLA-A assay was evaluated by analyzing 62 individuals (31 homozygous and 31 heterozygous) previously typed by direct sequencing. We demonstrate that the microarray genotyping procedure described here is a robust and efficient method for unambiguous detection of HLA alleles. HLA genotyping by PCR/LDR/UA is in perfect agreement with typing obtained by direct sequencing. Our results clearly demonstrate that the combination of enzymatic processing (LDR) and a demultiplexing hybridization onto a UA is a robust tool for SNP discrimination within the highly polymorphic HLA region. We demonstrate the specificity and efficiency of such an approach, suggesting the feasibility of a PCR/LDR/UA low resolution HLA typing procedure.

We have applied the ligation detection reaction (LDR) combined with a universal array approach to the detection and quantitation of the polymerase chain reaction (PCR) amplified cry1A(b) gene from Bt-176 transgenic maize. We demonstrated excellent specificity and high sensitivity. Down to 0.5 fmol (nearly 60 pg) of PCR amplified transgenic material was unequivocally detected with excellent linearity within the 0.1-2.0% range with respect to wild-type maize. We suggest the feasibility of extending the LDR/universal array format to detect in parallel several transgenic sequences that are being developed for food applications.