Comparison and transfer testing of multiplex ligation detection methods for GM plants

Background  

With the increasing number of GMOs on the global market the maintenance of European GMO regulations is becoming more complex. For the analysis of a single food or feed sample it is necessary to assess the sample for the presence of many GMO-targets simultaneously at a sensitive level. Several methods have been published regarding DNA-based multidetection. Multiplex ligation detection methods have been described that use the same basic approach: i) hybridisation and ligation of specific probes, ii) amplification of the ligated probes and iii) detection and identification of the amplified products. Despite they all have this same basis, the published ligation methods differ radically. The present study investigated with real-time PCR whether these different ligation methods have any influence on the performance of the probes. Sensitivity and the specificity of the padlock probes (PLPs) with the ligation protocol with the best performance were also tested and the selected method was initially validated in a laboratory exchange study.     

Development of melting temperature-based SYBR Green I polymerase chain reaction methods for multiplex genetically modified organism detection

Commercialization of several genetically modified crops has been approved worldwide to date. Uniplex polymerase chain reaction (PCR)-based methods to identify these different insertion events have been developed, but their use in the analysis of all commercially available genetically modified organisms (GMOs) is becoming progressively insufficient. These methods require a large number of assays to detect all possible GMOs present in the sample and thereby the development of multiplex PCR systems using combined probes and primers targeted to sequences specific to various GMOs is needed for detection of this increasing number of GMOs. Here we report on the development of a multiplex real-time PCR suitable for multiple GMO identification, based on the intercalating dye SYBR Green I and the analysis of the melting curves of the amplified products. Using this method, different amplification products specific for Maximizer 176, Bt11, MON810, and GA21 maize and for GTS 40-3-2 soybean were obtained and identified by their specific Tm. We have combined amplification of these products in a number of multiplex reactions and show the suitability of the methods for identification of GMOs with a sensitivity of 0.1% in duplex reactions. The described methods offer an economic and simple alternative to real-time PCR systems based on sequence-specific probes (i.e., TaqMan chemistry). These methods can be used as selection tests and further optimized for uniplex GMO quantification.     

GMOseek: a user friendly tool for optimized GMO testing

Background

With the increasing pace of new Genetically Modified Organisms (GMOs) authorized or in pipeline for commercialization worldwide, the task of the laboratories in charge to test the compliance of food, feed or seed samples with their relevant regulations became difficult and costly. Many of them have already adopted the so called "matrix approach" to rationalize the resources and efforts used to increase their efficiency within a limited budget. Most of the time, the "matrix approach" is implemented using limited information and some proprietary (if any) computational tool to efficiently use the available data.

Results

The developed GMOseek software is designed to support decision making in all the phases of routine GMO laboratory testing, including the interpretation of wet-lab results. The tool makes use of a tabulated matrix of GM events and their genetic elements, of the laboratory analysis history and the available information about the sample at hand. The tool uses an optimization approach to suggest the most suited screening assays for the given sample. The practical GMOseek user interface allows the user to customize the search for a cost-efficient combination of screening assays to be employed on a given sample. It further guides the user to select appropriate analyses to determine the presence of individual GM events in the analyzed sample, and it helps taking a final decision regarding the GMO composition in the sample. GMOseek can also be used to evaluate new, previously unused GMO screening targets and to estimate the profitability of developing new GMO screening methods.

Conclusion

The presented freely available software tool offers the GMO testing laboratories the possibility to select combinations of assays (e.g. quantitative real-time PCR tests) needed for their task, by allowing the expert to express his/her preferences in terms of multiplexing and cost. The utility of GMOseek is exemplified by analyzing selected food, feed and seed samples from a national reference laboratory for GMO testing and by comparing its performance to existing tools which use the matrix approach. GMOseek proves superior when tested on real samples in terms of GMO coverage and cost efficiency of its screening strategies, including its capacity of simple interpretation of the testing results.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2105-15-258) contains supplementary material, which is available to authorized users.     

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.     

Implications of natural propagule flow for containment of genetically modified forest trees

Propagule flow in populations of virtually all organisms has importance for both the genetic cohesion of the species and for its interaction with natural selection. It’s relevance` for the deployment of genetically modified organisms (GMOs) is that propagules can be expected to move, under a wide range of circumstances, and will carry transgenic elements with them. Any consideration of the potential risks of deploying GMOs in the wild must include an assessment of how far and how fast introduced elements are transferred to surrounding conspecific (and sometimes congeneric) populations. In practice, we need estimates of the rates/distances of both pollen and seed movement. There are analytical methods to characterize seed (maternity), pollen (paternity), and established offspring (parent-pair) data, but spatial limitations restrict the area that one can study, and these approaches require modification for application to propagule flow in GMOs. We can apply indirect methods to estimate male gamete dispersal based on pollen pool analysis for single mothers, when some degree of precision can be sacrificed in return for compensating gains in the spatial coverage, but the loss of precision is problematic for GMO tracking. Special methods have been developed for GMO tracking, and we shall show how to assess spatial movement of both transgene-carrying seeds and pollen and will illustrate with an example from Brassica napus, a well-studied crop species. Institute of Forest Biotechnology conference on Ecological Risks Associated with the Products of Forest Biotechnology     

The development and standardization of testing methods for genetically modified organisms and their derived products

As the worldwide commercialization of genetically modified organisms (GMOs) increases and consumers concern the safety of GMOs, many countries and regions are issuing labeling regulations on GMOs and their products. Analytical methods and their standardization for GM ingredients in foods and feed are essential for the implementation of labeling regulations. To date, the GMO testing methods are mainly based on the inserted DNA sequences and newly produced proteins in GMOs. This paper presents an overview of GMO testing methods as well as their standardization.     

Critical points of DNA quantification by real-time PCR – effects of DNA extraction method and sample matrix on quantification of genetically modified organisms

Background  

Real-time PCR is the technique of choice for nucleic acid quantification. In the field of detection of genetically modified organisms (GMOs) quantification of biotech products may be required to fulfil legislative requirements. However, successful quantification depends crucially on the quality of the sample DNA analyzed. Methods for GMO detection are generally validated on certified reference materials that are in the form of powdered grain material, while detection in routine laboratories must be performed on a wide variety of sample matrixes. Due to food processing, the DNA in sample matrixes can be present in low amounts and also degraded. In addition, molecules of plant origin or from other sources that affect PCR amplification of samples will influence the reliability of the quantification. Further, the wide variety of sample matrixes presents a challenge for detection laboratories. The extraction method must ensure high yield and quality of the DNA obtained and must be carefully selected, since even components of DNA extraction solutions can influence PCR reactions. GMO quantification is based on a standard curve, therefore similarity of PCR efficiency for the sample and standard reference material is a prerequisite for exact quantification. Little information on the performance of real-time PCR on samples of different matrixes is available.     

Development of a multiplex fluorescence quantitative PCR for detection of genetically modified organisms

The commercially available genetically modified plants authorized worldwide and therefore the target sequences for molecular detection of genetically modified organisms (GMOs) are ever-increasing. The European Union has implemented a set of very strict procedures for approval to grow, import and/or utilize GMOs as food or food ingredients. As a result, GMO laboratories and food production industry currently are forced to apply different methods to test raw material and complex processed food products. Three exogenous genes (the 35 s promoter of the cauliflower mosaic virus (35 s), nos terminator from Agrobacterium tumefaciens (nos), and the neomycin phosphotransferase II (nptII) gene) are commonly used in GMO detection. In this paper, a multiplex quantitative real-time PCR (qPCR) system was developed which allows simultaneously detection of the three exogenous genes in one reaction tube. The determined limits for the multiplex qPCR assays were 4 copies/reaction in maize samples. The specificity of the assays was demonstrated to be 100% according to the detection results of 23 genetically modified (GM) crops and 97 complex processed food products. The validation data show the individual PCR efficiency was accredited with negligible impacts between three detection channels in 7500 fluorescence quantitative PCR machine. These results indicate that this high-throughput multiplex qPCR method which combined with a reference gene is feasible for screening of GMOs, even for the processed food.     

Detection of genetically modified DNA in fresh and processed foods sold in Kuwait

Developments in genetic engineering technology have led to an increase in number of food products that contain genetically engineered crops in the global market. However, due to lack of scientific studies, the presence of genetically modified organisms (GMOs) in the Kuwaiti food market is currently ambiguous. Foods both for human and animal consumption are being imported from countries that are known to produce GM food. Therefore, an attempt has been made to screen foods sold in the Kuwaiti market to detect GMOs in the food. For this purpose, samples collected from various markets in Kuwait have been screened by SYBR green-based real time polymerase chain reaction (RT-PCR) method. Further confirmation and GMO quantification was performed by TaqMan-based RT-PCR. Results indicated that a significant number of food commodities sold in Kuwait were tested positive for the presence of GMO. Interestingly, certain processed foods were tested positive for more than one transgenic events showing complex nature of GMOs in food samples. Results of this study clearly indicate the need for well-defined legislations and regulations on the marketing of approved GM food and its labeling to protect consumer's rights.     

Cultivation of genetically modified organisms: resource needs for monitoring adverse effects on biodiversity

Genetically modified organisms (GMO) in non-European countries are introduced into the agro-environment on large scale with little knowledge of adverse effects on biodiversity. In the European Union (EU) possible effects of GMOs on biodiversity have to be accurately and precisely monitored. Monitoring biodiversity with a high precision is expensive and may only be achieved in close cooperation between GMO monitoring and general biodiversity monitoring. The EuMon project sampled metadata on biodiversity monitoring in Europe. Basing on the metadata, we estimated resource needs for biodiversity monitoring as needed for detecting potential adverse effects of GMOs on biodiversity. On average the analyzed schemes with a potential to detect at least a 5% change of biodiversity monitor 242.6 ± 105.4 sites at 322.6 ± 172.1 person days employing 63 ± 23 persons per year. The time invested in monitoring, given as person days, however, differed greatly between schemes and species groups, so that real manpower might be considerably higher.     

Testing the interaction between analytical modules: an example with Roundup Ready<Superscript>®</Superscript>soybean line GTS 40-3-2

Background  

The modular approach to analysis of genetically modified organisms (GMOs) relies on the independence of the modules combined (i.e. DNA extraction and GM quantification). The validity of this assumption has to be proved on the basis of specific performance criteria.     

转基因生物及其产品检测技术和标准化

随着转基因生物及其产品的大规模商业化以及消费者对其安全性的担心,很多国家和地区纷纷出台包括转基因产品标签制度在内的转基因生物安全管理的法律法规,为保障转基因产品标签制度的实施以及消费者知情权和选择权,转基因产品检测分析方法及其标准化研究受到人们广泛重视。目前,国内外常用的转基因产品检测方法主要包括针对转基因产品中的目的核酸DNA分子或者其编码的蛋白质分子,本文将对转基因生物及其产品检测方法及其标准化的进展及发展趋势做一概述。     

OrthoInspector: comprehensive orthology analysis and visual exploration

Background  

The accurate determination of orthology and inparalogy relationships is essential for comparative sequence analysis, functional gene annotation and evolutionary studies. Various methods have been developed based on either simple blast all-versus-all pairwise comparisons and/or time-consuming phylogenetic tree analyses.     

Detection of genetically modified organisms (GMOs) using isothermal amplification of target DNA sequences

Background  

The most common method of GMO detection is based upon the amplification of GMO-specific DNA amplicons using the polymerase chain reaction (PCR). Here we have applied the loop-mediated isothermal amplification (LAMP) method to amplify GMO-related DNA sequences, 'internal' commonly-used motifs for controlling transgene expression and event-specific (plant-transgene) junctions.     

A Microarray-based Detection System for Genetically Modified (GM) Food Ingredients

A multiplex DNA microarray chip was developed for simultaneous identification of nine genetically modified organisms (GMOs), five plant species and three GMO screening elements, i.e. the 35S promoter, the nos terminator and the nptII gene. The chips also include several controls, such as that for the possible presence of CaMV. The on-chip detection was performed directly with PCR amplified products. Particular emphasis was placed on the reduction of the number of PCR reactions required and on the number of primers present per amplification tube. The targets were biotin labelled and the arrays were detected using a colorimetric methodology. Specificity was provided by specific capture probes designed for each GMO and for the common screening elements. The sensitivity of the assay was tested by experiments carried out in five different laboratories. The limit of detection was lower than 0.3% GMO for all tests and in general around 0.1% for most GMOs. The chip detection system complies with the requirements of current EU regulations and other countries where thresholds are established for the labelling of GMO. Serge Leimanis, Marta Hernández, Sophie Fernández: These authors contributed equally to this paper.