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。     

GMDD: a database of GMO detection methods

Background  

Since more than one hundred events of genetically modified organisms (GMOs) have been developed and approved for commercialization in global area, the GMO analysis methods are essential for the enforcement of GMO labelling regulations. Protein and nucleic acid-based detection techniques have been developed and utilized for GMOs identification and quantification. However, the information for harmonization and standardization of GMO analysis methods at global level is needed.     

Technocratic precautionary principle: Korean risk governance of genetically modified organisms

Regulations for genetically modified organisms (GMOs) in Korea fluctuate between technocracy and the precautionary principle (PP). Technocratic PP denotes the coexistence, or coproduction, of technocracy with PP – a complex ensemble of technocratic, precautionary policies, and hybrids of the two. This paper analyzes four types of PP-based policies linked to Korean GMO regulations: foresight and monitoring of risk; reverse burden of proof; public participation; and the public's right to know. Korean GMO regulations are consistent with the Cartagena Protocol on Biosafety, a type of PP, but lack long-term risk assessment as well as public participation. Technocracy is embedded both in advance informed agreements as a reverse burden of proof and in proof-based GMO labeling as a right-to-know policy. Technocratic PP results in inconsistencies between PP and technocratic epistemology and the gap between PP-based institutions and technocratic practices. Technocratic PP is therefore a typical phenomenon that occurs in the “glocalization” of risk regulation.     

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.     

Relative quantification in seed GMO analysis: state of art and bottlenecks

Reliable quantitative methods are needed to comply with current EU regulations on the mandatory labeling of genetically modified organisms (GMOs) and GMO-derived food and feed products with a minimum GMO content of 0.9 %. The implementation of EU Commission Recommendation 2004/787/EC on technical guidance for sampling and detection which meant as a helpful tool for the practical implementation of EC Regulation 1830/2003, which states that “the results of quantitative analysis should be expressed as the number of target DNA sequences per target taxon specific sequences calculated in terms of haploid genomes”. This has led to an intense debate on the type of calibrator best suitable for GMO quantification. The main question addressed in this review is whether reference materials and calibrators should be matrix based or whether pure DNA analytes should be used for relative quantification in GMO analysis. The state of the art, including the advantages and drawbacks, of using DNA plasmid (compared to genomic DNA reference materials) as calibrators, is widely described. In addition, the influence of the genetic structure of seeds on real-time PCR quantitative results obtained for seed lots is discussed. The specific composition of a seed kernel, the mode of inheritance, and the ploidy level ensure that there is discordance between a GMO % expressed as a haploid genome equivalent and a GMO % based on numbers of seeds. This means that a threshold fixed as a percentage of seeds cannot be used as such for RT-PCR. All critical points that affect the expression of the GMO content in seeds are discussed in this paper.     

转基因生物相关平台的构建

在转基因生物全球化形势下,我国十分重视转基因生物安全管理及转基因生物安全性风险交流。通过建设转基因生物相关平台,可以加强我国转基因生物安全评价、转基因生物检测、风险交流及信息的整理和共享,拓宽我国转基因生物安全管理服务和信息交流渠道。平台主要由五部分组成,即:转基因生物安全性评价数据库、转基因生物安全检测方法数据库、转基因生物安全管理政策法规数据库、转基因生物检测服务子平台、公众风险交流子平台。平台的访问界面友好、美观、实用,能方便快捷地为用户提供信息查询和浏览等服务。平台可于此地址浏览:http://www.shgmo.org/。     

Testing for genetically modified organisms (GMOs): Past, present and future perspectives

This paper presents an overview of GMO testing methodologies and how these have evolved and may evolve in the next decade. Challenges and limitations for the application of the test methods as well as to the interpretation of results produced with the methods are highlighted and discussed, bearing in mind the various interests and competences of the involved stakeholders. To better understand the suitability and limitations of detection methodologies the evolution of transformation processes for creation of GMOs is briefly reviewed.     

Monitoring the presence of genetically modified food on the market of the Republic of Croatia

From the beginning of the human race people have been applying different methods to change the genetic material of either plants or animals in order to increase their yield as well as to improve the quality and quantity of food. Genetically modified organism (GMO) means an organism in which the genetic material has been altered in a way that does not occur naturally by mating and/or natural recombination. Analysing the presence of GMO in food is done by detecting the presence of either specific DNA sequences inserted in the genome of transgenic organism, or detecting proteins as a result of the expression of the inserted DNA. In this work food testing for the presence of genetically modified organisms was conducted during the period from 2004 to 2007 in the GMO laboratory of the Croatian National Institute of Public Health. According to the regulations, among the samples in which the presence of GMO was detected, all those which had more than 0.9% of GMO content were either rejected from the border or removed from the market, because such GM food has to be appropriately labelled. Among the food samples which were analysed in 2004: 127 (2.37%) of a total of 1226 samples contained more than 0.9% of GMOs; in 2005 there was only one in 512 (0.20%) samples in total; in 2006 there were 4 out of 404 samples (0.99%), and in 2007: 7 of a total of 655 samples (1.07%) had GMO content above the allowed threshold of 0.9%.     

国际上主要国家和地区农业转基因产品的标识制度

转基因标识是表明产品含有转基因成分或者由转基因生物生产、加工而成的一种标识。随着全球转基因技术研发和应用的不断推进,国际上对农业转基因产品的标识管理更加关注与重视。通过阐述农业转基因产品标识制度的形成与发展过程,研究欧盟、美国、加拿大、日本、韩国等主要国家和地区的转基因产品标识管理制度,总结出成分关注标识、过程关注标识、自愿标识、强制性标识、定性标识、定量标识、全面标识、目录标识等不同标识类别的特点与利弊,并分析了国际上关于标识豁免及阴性标识等方面的政策规定,为我国的农业转基因产品标识管理工作提供了启示与参考。     

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.     

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.     

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.     

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.     

Mating preference in the invasion of growth enhanced fish

Fish with a transgene for growth hormone grow faster than the wild type and may have an advantage in sexual selection due to their larger size and earlier maturation. The cost in these genetically modified organisms (GMOs) is a lower viability of their offspring. The Trojan gene effect is a hypothesis that predicts that the release of such fish in nature can lead to an invasion by GMOs but ultimately decrease population size to extinction. We modelled GMO invasion with Mendelian inheritance of two alleles in one locus and the resulting mating and population dynamics of wild, GMO and hybrid genotypes. Invasion was attempted over a range of initial densities, representing scenarios from accidental escape to large-scale deliberate introduction of the transgenic genotype. Our results show that invasion strongly depends on hybrid fitness, requiring only a low initial density when GMOs and hybrids are preferred in mating. Preference against hybrids results in an invasion threshold, above which mating between GMOs are sufficiently frequent for invasion to take place. GMO invasion may decrease population size, but contrary to earlier studies on the Trojan gene effect, extinctions do not occur. This is due to the lower viability of GMOs being balanced by the decreased number of competitors reducing the effects of density dependence. The results emphasize the importance of initial density, hybrid fitness and density dependence when considering invasion through hybridization.     

Detection of nonauthorized genetically modified organisms using differential quantitative polymerase chain reaction: application to 35S in maize

Detection of nonauthorized genetically modified organisms (GMOs) has always presented an analytical challenge because the complete sequence data needed to detect them are generally unavailable although sequence similarity to known GMOs can be expected. A new approach, differential quantitative polymerase chain reaction (PCR), for detection of nonauthorized GMOs is presented here. This method is based on the presence of several common elements (e.g., promoter, genes of interest) in different GMOs. A statistical model was developed to study the difference between the number of molecules of such a common sequence and the number of molecules identifying the approved GMO (as determined by border-fragment-based PCR) and the donor organism of the common sequence. When this difference differs statistically from zero, the presence of a nonauthorized GMO can be inferred. The interest and scope of such an approach were tested on a case study of different proportions of genetically modified maize events, with the P35S promoter as the Cauliflower Mosaic Virus common sequence. The presence of a nonauthorized GMO was successfully detected in the mixtures analyzed and in the presence of (donor organism of P35S promoter). This method could be easily transposed to other common GMO sequences and other species and is applicable to other detection areas such as microbiology.     

Composting: a potentially safe process for disposal of genetically modified organisms

The widespread use of genetically modified organisms (GMOs) may result in the release of GMOs into the environment. The potential risks regarding their use and implementation of disposal methods, especially the possibility of novel genes from GMOs being transferred to natural organisms, need to be evaluated and better understood. There is an increasingly accepted public view that GMO products introduced into the environment should be degradable and should disappear after a limited period of time. Due to the risk of possible horizontal gene transfer, disposal methods for GMOs need to address destruction of both the organism and the genetic material. During the last two decades, we have developed a greater understanding of the biochemical, microbiological and molecular concepts of the composting process, such that maximum decomposition may be achieved in the shortest time with minimal negative impacts to the environment. The conditions created in a properly managed composting process environment may help in destroying GMOs and their genes, thereby reducing the risk of the spread of genetic material. When considering composting as a potential method for the disposal of GMOs, the establishment of controlled conditions providing an essentially homogenous environment appears to be an important requirement. An evaluation of composting as a safe option for disposal of GMOs is provided in this review.     

Detection limits of the strip test and PCR for genetically modified corn in Brazil

Brazilian legislation establishes a labeling limit for products that contain more than 1% material from genetically modified organisms (GMOs). We assessed the sensitivity of the lateral flow strip test in detection of the GMO corn varieties Bt11 and MON810 and the specificity and sensitivity of PCR techniques for their detection. For the strip test, the GMO seeds were mixed with conventional seeds at levels of 0.2, 0.4 and 0.8% for Bt11, and 0.4, 0.8 and 1.6% for MON810. Three different methodologies were assessed and whole seeds, their endosperm and embryonic axis were used. For the PCR technique, the GMO seeds of each of the two varieties were mixed with conventional seeds at levels of 20, 10, 5, 2, 1, and 0.5%. The seeds were ground and the DNA extracted. For detection of the GMO material, specific primers were used for MON810 and Bt11 and maize zein as an endogenous control. The sensitivity of the strip test varied for both maize varieties and methodologies. The test was positive for Bt11 only at 0.8%, in contrast with the detection limit of 0.4% indicated by the manufacturer. In the multiplex PCR, the primers proved to be specific for the different varieties. These varieties were detected in samples with one GMO seed in 100. Thus, this technique proved to be efficient in detecting contaminations equal to or greater than 1%.     

转基因植物食品检测技术研究进展

随着转基因植物的迅速发展,转基因植物（GMO）含量大量涌向市场。出于对人类健康的考虑,GMO食品标识制度在世界范围内受到人们普遍关注。不论是对GMO食品贴标签,或是对GMO与非GMO原料的分别输送,GMO原料和食品的检测技术是必不可少的。GMO食品的检测主要有两种方法：一种是以DNA为基础的PCR法,另一种是从蛋白质水平出的ELISA法。比较全面地阐述了这两种检测方法的应用状况,重点介绍了PCR检测法及影响PCR检测方法的因素,作者预测DNA芯片检测法将是未来的发展方向。     

Screening genetically modified organisms using multiplex-PCR coupled with oligonucleotide microarray

In this research, we developed a multiplex polymerase chain reaction (multiplex-PCR) coupled with a DNA microarray system simultaneously aiming at many targets in a consecutive reaction to detect a genetically modified organism (GMO). There are a total of 20 probes for detecting a GMO in a DNA microarray which can be classified into three categories according to their purpose: the first for screening GMO from un-transgenic plants based on the common elements such as promoter, reporter and terminator genes; the second for specific gene confirmation based on the target gene sequences such as herbicide-resistance or insect-resistance genes; the third for species-specific genes which the sequences are unique for different plant species. To ensure the reliability of this method, different kinds of positive and negative controls were used in DNA microarray. Commercial GM soybean, maize, rapeseed and cotton were identified by means of this method and further confirmed by PCR analysis and sequencing. The results indicate that this method discriminates between the GMOs very quickly and in a cost-saving and more time efficient way. It can detect more than 95% of currently commercial GMO plants and the limits of detection are 0.5% for soybean and 1% for maize. This method is proved to be a new method for routine analysis of GMOs.     

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.