Detecting un-authorized genetically modified organisms (GMOs) and derived materials.

Genetically modified plants, in the following referred to as genetically modified organisms or GMOs, have been commercially grown for almost two decades. In 2010 approximately 10% of the total global crop acreage was planted with GMOs (James, 2011). More than 30 countries have been growing commercial GMOs, and many more have performed field trials. Although the majority of commercial GMOs both in terms of acreage and specific events belong to the four species: soybean, maize, cotton and rapeseed, there are another 20+ species where GMOs are commercialized or in the pipeline for commercialization. The number of GMOs cultivated in field trials or for commercial production has constantly increased during this time period. So have the number of species, the number of countries involved, the diversity of novel (added) genetic elements and the global trade. All of these factors contribute to the increasing complexity of detecting and correctly identifying GMO derived material. Many jurisdictions, including the European Union (EU), legally distinguish between authorized (and therefore legal) and un-authorized (and therefore illegal) GMOs. Information about the developments, field trials, authorizations, cultivation, trade and observations made in the official GMO control laboratories in different countries around the world is often limited, despite several attempts such as the OECD BioTrack for voluntary dissemination of data. This lack of information inevitably makes it challenging to detect and identify GMOs, especially the un-authorized GMOs. The present paper reviews the state of the art technologies and approaches in light of coverage, practicability, sensitivity and limitations. Emphasis is put on exemplifying practical detection of un-authorized GMOs. Although this paper has a European (EU) bias when examples are given, the contents have global relevance.

Fuzzy-logic based strategy for validation of multiplex methods: example with qualitative GMO assays.

This paper illustrates the advantages that a fuzzy-based aggregation method could bring into the validation of a multiplex method for GMO detection (DualChip GMO kit, Eppendorf). Guidelines for validation of chemical, bio-chemical, pharmaceutical and genetic methods have been developed and ad hoc validation statistics are available and routinely used, for in-house and inter-laboratory testing, and decision-making. Fuzzy logic allows summarising the information obtained by independent validation statistics into one synthetic indicator of overall method performance. The microarray technology, introduced for simultaneous identification of multiple GMOs, poses specific validation issues (patterns of performance for a variety of GMOs at different concentrations). A fuzzy-based indicator for overall evaluation is illustrated in this paper, and applied to validation data for different genetically modified elements. Remarks were drawn on the analytical results. The fuzzy-logic based rules were shown to be applicable to improve interpretation of results and facilitate overall evaluation of the multiplex method.

NAIMA: target amplification strategy allowing quantitative on-chip detection of GMOs.

We have developed a novel multiplex quantitative DNA-based target amplification method suitable for sensitive, specific and quantitative detection on microarray. This new method named NASBA Implemented Microarray Analysis (NAIMA) was applied to GMO detection in food and feed, but its application can be extended to all fields of biology requiring simultaneous detection of low copy number DNA targets. In a first step, the use of tailed primers allows the multiplex synthesis of template DNAs in a primer extension reaction. A second step of the procedure consists of transcription-based amplification using universal primers. The cRNA product is further on directly ligated to fluorescent dyes labelled 3DNA dendrimers allowing signal amplification and hybridized without further purification on an oligonucleotide probe-based microarray for multiplex detection. Two triplex systems have been applied to test maize samples containing several transgenic lines, and NAIMA has shown to be sensitive down to two target copies and to provide quantitative data on the transgenic contents in a range of 0.1-25%. Performances of NAIMA are comparable to singleplex quantitative real-time PCR. In addition, NAIMA amplification is faster since 20 min are sufficient to achieve full amplification.

The etiologic diagnosis of infectious discitis is improved by amplification-based DNA analysis.

OBJECTIVE: Blood cultures and cultures of disc material are required to identify and treat bacterial agents responsible for septic spondylodiscitis, but these methods have limited sensitivities. We undertook this study to compare nonculture amplification-based DNA analysis with conventional culture of disc aspirate. METHODS: Nineteen patients with spondylodiscitis, including 11 with a history of spinal surgery, presented with negative blood cultures and underwent percutaneous disc or epidural abscess puncture for bacterial diagnosis. Amplification by polymerase chain reaction was performed on 16S ribosomal DNA universal target genes and femA staphylococci-specific target genes in all patients, and on the upstream p34 mycobacterial gene in 1 patient. Species identification relied on amplicon sequencing and comparison with templates from GenBank. Amplification of the femA gene led to subsequent testing for methicillin resistance by amplification of the mecA gene. Further assessment using a staphylococci- and methicillin resistance-specific DNA array was performed on 3 samples. RESULTS: Microbiologic and molecular assays identified the causative organism in 14 of 19 patients (74%) and 19 of 19 patients (100%), respectively. In culture-positive patients, DNA-based and microbiologic results were highly correlated. Five agents (Staphylococcus simulans, Staphylococcus sciuri, Brucella species, Actinomyces israelii, and Mycobacterium tuberculosis complex) were identified only by DNA-based methods. In 1 sample, Corynebacterium jeikeium and coagulase-negative Staphylococcus were both cultured, whereas DNA analysis identified only Staphylococcus hominis. CONCLUSION: DNA-based methods are highly sensitive and specific. They can usefully complement standard microbiologic methods for identifying the cause of infectious spondylodiscitis and contribute to species-specific therapeutic orientation in patients with negative blood and disc aspirate cultures.

New chips for molecular biology and diagnostics.

The DNA chips are arrays of DNA probes immobilized on solid support for simultaneous identification of many target DNA sequences. DNA chips applied to diagnosis aims to detect genomic DNA or RNA after PCR amplification. This review provides an overview of DNA chip technology, focusing on diagnostic applications. A comparison between high density and low density microarrays is given showing that low density chips are more suitable for routine applications due to their simplicity, good reproducibility, easy data management and low cost.

DNA microarray to monitor the expression of MAGE-A genes.

BACKGROUND: The MAGE-A genes encode antigens that are of particular interest for antitumor immunotherapy because they are strictly tumor specific and are shared by many tumors. We developed a rapid method to identify the MAGE-A genes expressed in tumors. METHODS: A low-density DNA microarray was designed to discriminate between the 12 MAGE-A cDNAs amplified by PCR with only one pair of consensus primers. The assay involved reverse transcription of total RNA with oligo(dT) primer, followed by PCR amplification and hybridization on a microarray. Amplification in the presence of Biotin-16-dUTP allowed subsequent detection of the amplicons on the microarray carrying 12 capture probes, each being specific for a MAGE-A gene. Probe-amplicon hybrids were detected by a streptavidin-based method. RESULTS: PCR conditions were optimized for low detection limits and comparable amplification efficiencies among all MAGE-A nucleotide sequences. The microarray assay was validated with a panel of 32 samples, by comparison with well-established reverse transcription-PCR assays relying on amplification with primers specific for each gene. Virtually identical results were obtained with both methods, except for MAGE-A3 and MAGE-A5. Detection of MAGE-A5 was more sensitive with the microarray assay. Detection of MAGE-A3 was hampered by the presence of MAGE-A6, which is 98% identical: the MAGE-A3 capture probe cross-hybridized with MAGE-A6 amplicons because these sequences differed by only a single base. CONCLUSIONS: This post-PCR microarray assay could be useful to evaluate MAGE expression in tumors before therapeutic vaccinations with MAGE-A gene products.