Detection of recombinant DNA segments introduced to genetically modified maize (Zea mays)

Polymerase Chain Reaction (PCR) techniques are increasingly used for the detection of genetically modified (GM) crops in foods. In this paper, recombinant DNAs introduced into the seven lines of GM maize, such as Event 176, Bt11, T25, MON810, GA21, DLL25, and MON802, are sequenced. On the basis of the obtained sequence, 14 primer pairs for the detection of the segments, such as promoter, terminator regions, and construct genes, were designed. To confirm the specificities of the designed primer pairs, PCR was performed on genomic DNAs extracted from GM and non-GM maize, GM and non-GM soy, and other cereal crops. Because the presence of the corresponding DNA segments was specifically detected in GM crops by the designed primer pairs, it was concluded that this method is useful for fast and easy screening of GM crops including unauthorized ones.     

实时定量PCR检测转基因水稻科丰6号插入拷贝数和转基因含量

建立转基因成分灵敏、准确的定量标识是实施转基因安全阈值管理的一个基本步骤,其中实时定量PCR技术是检测产品中转基因含量的主要技术方法。本研究利用该技术确定了双价(cry1Ac+CpTi)转基因抗虫水稻(Oryzasativa)科丰6号中有3个拷贝的外源基因插入。通过对外源基因Bt和转化事件特异的边界特异序列为对象的绝对定量和相对定量检测方法的研究,发现以边界特异序列为对象的事件特异性检测和以目的基因Bt为对象的检测都能够满足相对定量检测的要求。在100ng基因组DNA中,Bt基因和特异性检测的相对定量检测限分别为0.1%和0.5%,在绝对定量检测中,特异性检测的检测限为5个拷贝。不同检测方法对4个已知转基因含量的样品检测结果与预期均一致。结果表明,以转基因产品占总产品比例为定义的转基因含量的测定中,多拷贝或单拷贝基因为对象的不同定量方法的检测对转基因产品的相对定量结果没有影响,本研究对转基因产品的定量阈值设定具有一定的借鉴意义。     

Detection of genetically modified canola using multiplex PCR coupled with oligonucleotide microarray hybridization

A rapid method was developed for concurrent screening of transgenic elements in GM canola. This method utilizes a single multiplex PCR coupled with an oligonucleotide DNA array capable of simultaneously detecting the 12 approved GM canola lines in Canada. The assay includes construct-specific elements for identification of approved lines, common elements (e.g., CaMV 35S promoter, Agrobacterium tumefaciens nos terminator, or nptII gene) for screening of approved or unapproved lines, a canola-specific endogenous gene, and endogenous genes from heterologous crops to serve as additional controls. Oligonucleotide probes were validated individually for functionality and specificity by amplification of specific transgene sequences from appropriate GM canola lines corresponding to each probe sequence, and hybridization of amplicons to the array. Each target sequence hybridized to its corresponding oligonucleotide probe and no significant cross-hybridization was observed. The limit of detection was examined for the GM lines GT73, T45, and MS8/RF3, and was determined to be 0.1%, 0.1%, and 0.5%, respectively, well within the European food and feed labeling threshold level of 0.9% for approved GM product. Practically, the method was demonstrated to be effective for the detection of GM canola in several types of animal feed, as well as in commercial canola meal.     

Detection of transgenic and endogenous plant DNA fragments in the blood, tissues, and digesta of broilers

The aim was to determine the fate of transgenic and endogenous plant DNA fragments in the blood, tissues, and digesta of broilers. Male broiler chicks (n = 24) were allocated at 1 day old to each of four treatment diets designated T1-T4. T1 and T2 contained the near isogenic nongenetically modified (GM) maize grain, whereas T3 and T4 contained GM maize grain [cry1a(b) gene]; T1 and T3 also contained the near isogenic non-GM soybean meal, whereas T2 and T4 contained GM soybean meal (cp4epsps gene). Four days prior to slaughter at 39-42 days old, 50% of the broilers on T2-T4 had the source(s) of GM ingredients replaced by their non-GM counterparts. Detection of specific DNA sequences in feed, tissue, and digesta samples was completed by polymerase chain reaction analysis. Seven primer pairs were used to amplify fragments ( approximately 200 bp) from single copy genes (maize high mobility protein, soya lectin, and transgenes in the GM feeds) and multicopy genes (poultry mitochondrial cytochrome b, maize, and soya rubisco). There was no effect of treatment on the measured growth performance parameters. Except for a single detection of lectin (nontransgenic single copy gene; unsubstantiated) in the extracted DNA from one bursa tissue sample, there was no positive detection of any endogenous or transgenic single copy genes in either blood or tissue DNA samples. However, the multicopy rubisco gene was detected in a proportion of samples from all tissue types (23% of total across all tissues studied) and in low numbers in blood. Feed-derived DNA was found to survive complete degradation up to the large intestine. Transgenic DNA was detected in gizzard digesta but not in intestinal digesta 96 h after the last feeding of treatment diets containing a source of GM maize and/or soybean meal.     

Influence of elevated CO2 and GM barley on a soil mesofauna community in a mesocosm test system

We hypothesized that the combined effect of rising levels of atmospheric carbon dioxide (CO₂) and increasing use of genetically modified (GM) crops in agriculture may affect soil food-webs. So we designed a study for the assessment of the effects of elevated CO₂ (eCO₂) concentrations and GM barley on a soil-mesofauna community employing a 2nd tier mesocosm test system. The GM barley, Hordeum vulgare cv. Golden Promise, had a modified content of amino acids and it was compared with three non-GM barley cultivated varieties including the isogenic line. Our mesocosm experiment was conducted in a greenhouse at ambient (aCO₂) and eCO₂ (+80 ppm) levels and included a multispecies assemblage of Collembola, Acari and Enchytraeidae with either a GM or conventional spring barley varieties. To detect food-web changes we added dried maize leaves naturally enriched in δ¹³C and δ¹⁵N relative to the soil substrate. Soil, plants and animals were collected after five and eleven weeks. We found that the eCO₂ concentration did not affect the plant biomass, but the predatory mite and two collembolan species showed significantly lower abundances at eCO₂. The densities of three collembolan species (Folsomia fimetaria, Proisotoma minuta and juveniles of Mesaphorura macrochaeta) was significantly lower in the GM treatment compared to some of the non-GM varieties. F. fimetaria was less abundant in presence of GM barley compared to the cultivated barley variety “Netto” at both CO₂ levels, while the density of P. minuta was significantly reduced with the GM barley compared to variety “Netto” at aCO₂ and the isogenic variety at eCO₂. Maize litter acted as a food source for the community, as it was revealed by δ¹³C values in microarthropods. Microarthropod δ¹³C decreased over time, which indicates a diet change of the species towards carbon derived from barley, due to maize litter decomposition. The industrially produced CO₂ gas also had a role as an isotopic marker, as the different δ¹³C values were reflected in the barley and in the collembolan species. GM barley did not affect δ¹³C and δ¹⁵N values of soil animals indicating that the overall trophic structure of the mesofauna community was not changed compared to the non-GM cultivated varieties. The mesocosm methodology integrating stable isotope analysis demonstrates the potential of the multi-species mesocosm as a tool to detect and track changes in the soil trophic interactions in response to environmental pressures, climate and novel agricultural crops.     

Metabolite profiling of maize kernels--genetic modification versus environmental influence

A metabolite profiling approach based on gas chromatography-mass spectrometry (GC-MS) was applied to investigate the metabolite profiles of genetically modified (GM) Bt-maize (DKC78-15B, TXP 138F) and Roundup Ready-maize (DKC78-35R). For the comparative investigation of the impact of genetic modification versus environmental influence on the metabolite profiles, GM maize was grown together with the non-GM near-isogenic comparators under different environmental conditions, including several growing locations and seasons in Germany and South Africa. Analyses of variance (ANOVA) revealed significant differences between GM and non-GM maize grown in Germany and South Africa. For the factor genotype, 4 and 3%, respectively, of the total number of peaks detected by GC-MS showed statistically significant differences (p < 0.01) in peak heights as compared to the respective isogenic lines. However, ANOVA for the factor environment (growing location, season) revealed higher numbers of significant differences (p < 0.01) between the GM and the non-GM maize grown in Germany (42%) and South Africa (10%), respectively. This indicates that the majority of differences observed are related to natural variability rather than to the genetic modifications. In addition, multivariate data assessment by means of principal component analysis revealed that environmental factors, that is, growing locations and seasons, were dominant parameters driving the variability of the maize metabolite profiles.     

联合收割机喂入量与收获过程损失模型

为了研究联合收割机喂入量与收获过程损失率之间的关系,该文对联合收割机喂入量和收获损失的影响因素进行了详细分析,采用3种模型试验研究了喂入量与收获过程损失的关系,基于新疆-2A型联合收割机的试验样本建立了基于幂函数、指数函数和二次函数的关系模型,其中二次函数模型具有较高准确性,其决定系数R2=0.826,并利用喂入量控制试验装置进行验证。试验表明,当喂入量在0.3～4.1?kg/s的范围内时,收获过程损失率实测值与二次函数模型计算值的绝对偏差范围为0.04%～0.91%,吻合较好,说明所建立的二次函数模型具有良好的准确性。该模型可作为预测试验用样机收获过程损失的有效工具。     

Proteomic analysis of four Brazilian MON810 maize varieties and their four non-genetically-modified isogenic varieties

Profiling techniques have been suggested as a nontargeted approach to detect unintended effects in genetically modified (GM) plants. Seedlings from eight Brazilian maize varieties, four MON810 GM varieties and four non-GM isogenic varieties, were grown under controlled environmental conditions. Physiological parameters (aerial part weight, main leaf length, and chlorophyll and total protein contents) were compared, and some differences were observed. Nevertheless, these differences were not constant among all GM and non-GM counterparts. Leaf proteomic profiles were analyzed using two-dimensional gel electrophoresis (2DE) coupled to mass spectrometry, using six 2DE gels per variety. The comparison between MON810 and its counterpart was limited to qualitative differences of fully reproducible protein spot patterns. Twelve exclusive proteins were observed in two of four maize variety pairs; all of these leaf proteins were variety specific. In this study, MON810 leaf proteomes of four varieties were similar to non-GM counterpart leaf proteomes.     

Metabolomic plasticity in GM and non-GM potato leaves in response to aphid herbivory and virus infection

An important aspect of ecological safety of genetically modified (GM) plants is the evaluation of unintended effects on plant-insect interactions. These interactions are to a large extent influenced by the chemical composition of plants. This study uses NMR-based metabolomics to establish a baseline of chemical variation to which differences between a GM potato line and its parent cultivar are compared. The effects of leaf age, virus infection, and aphid herbivory on plant metabolomes were studied. The metabolome of the GM line differed from its parent only in young leaves of noninfected plants. This effect was small when compared to the baseline. Consistently, aphid performance on excised leaves was influenced by leaf age, while no difference in performance was found between GM and non-GM plants. The metabolomic baseline approach is concluded to be a useful tool in ecological safety assessment.     

Individual detection of genetically modified maize varieties in non-identity-preserved maize samples

In many countries, the labeling of grains and feed- and foodstuffs is mandatory if the genetically modified organism (GMO) content exceeds a certain level of approved GM varieties. The GMO content in a maize sample containing the combined-trait (stacked) GM maize as determined by the currently available methodology is likely to be overestimated. However, there has been little information in the literature on the mixing level and varieties of stacked GM maize in real sample grains. For the first time, the GMO content of non-identity-preserved (non-IP) maize samples imported from the United States has been successfully determined by using a previously developed individual kernel detection system coupled to a multiplex qualitative PCR method followed by multichannel capillary gel electrophoresis system analysis. To clarify the GMO content in the maize samples imported from the United States, determine how many stacked GM traits are contained therein, and which GM trait varieties frequently appeared in 2005, the GMO content (percent) on a kernel basis and the varieties of the GM kernels in the non-IP maize samples imported from the United States were investigated using the individual kernel analysis system. The average (+/-standard deviation) of the GMO contents on a kernel basis in five non-IP sample lots was determined to be 51.0+/-21.6%, the percentage of a single GM trait grains was 39%, and the percentage of the stacked GM trait grains was 12%. The MON810 grains and NK603 grains were the most frequent varieties in the single GM traits. The most frequent stacked GM traits were the MON810xNK603 grains. In addition, the present study would provide the answer and impact for the quantification of GM maize content in the GM maize kernels on labeling regulation.     

Discrimination between nongenetically modified (Non-GM) and GM plant tissue expressing cysteine-rich polypeptide using FT-raman spectroscopy

Fourier transform (FT)-Raman spectroscopy was applied to the analysis of genetically modified (GM) plant tissue. Transgenic carrot callus and tobacco plants possessing a novel StSn1 gene coding for a cysteine-rich snakin-1 polypeptide were obtained after Agrobacterium-mediated transformation. The presence of the StSn1 gene and its expression were confirmed by polymerase chain reactions using plant DNA and cDNA as templates for the amplification of the transgenes. Raman measurements were taken from lyophilized GM carrot callus tissue, fresh GM tobacco leaves, and from seeds produced by GM tobacco plants as well as from the nontransformed controls. Cluster analysis applied to the obtained spectra allowed clear separation of the GM samples expressing the StSn1 gene and the nontransformed control to distinct groups. Such discrimination was achieved only when wavenumber ranges around 500 cm (-1) were analyzed. The results indicate that discrimination between the GM and non-GM materials was related to S-S stretching vibrations in snakin-1, as it contained six sulfur bridges. Other introduced genes, neomycine phosphotransferase ( nptII) and Chitinase ( chit36), did not cause any detectable changes by Raman spectroscopy in plant tissue. This is the first report on the use of Raman spectroscopy for a nondestructive analysis of GM plant material expressing the gene coding for a cysteine-rich polypeptide.     

Dissipation of sulfosulfuron in soil and wheat plant under predominant cropping conditions and in a simulated model ecosystem

Environmental fate and dissipation of the sulfonylurea herbicide sulfosulfuron was investigated in soil (inceptisol) and wheat plant under predominant cropping conditions. Studies were conducted in natural field conditions and in a simulated model ecosystem. Thirty days after the wheat seeds had been sown, sulfosulfuron [N-[[(4,6-dimethoxy-2-pyrimidinyl)amino]carbonyl]-2-(ethylsulfonyl)imidazo[1,2-a]pyridine-3-sulfonamide] 75% w/w WG formulation was applied once in the field. The dosages were 25 and 50 g of active ingredient (ai)/ha. Studies were conducted in significantly separated individual plots to avoid contamination. In a predetermined interval, soil samples were collected and analyzed for the residues of sulfosulfuron. At harvest, wheat grain, straw, and soil samples were analyzed for the residues. Similar experiments were conducted in a model ecosystem. Apart from this, after harvest, the succeeding crops coriander (Coriandrum sativum) and edible amaranth (Amaranthus mangostanus L.) were raised in the model ecosystem and studied for the residues. No residues were detected in wheat grain, straw, and soil samples collected at harvest from both experiments or in the succeeding crops coriander and edible amaranth in the model ecosystem when tested at the minimum detection level of 0.001 microg/g. The dissipation of sulfosulfuron was found to have first-order kinetics in soil and plant in both studies. The dissipation data of sulfosulfuron in the model ecosystem were compared with those from the natural field conditions.     

Application of immunoaffinity column as cleanup tool for an enzyme linked immunosorbent assay of phosphinothricin-N-acetyltransferase detection in genetically modified maize and rape

We have developed a new immunoassay method to detect genetically modified (GM) maize and rape containing phosphinothricin-N-acetyltransferase (PAT). PAT encoded by Bialaphos resistance gene (bar) was highly expressed in soluble form in Escherichia coli BL21(DE3) and purified to homogeneity by Ni2+ affinity chromatography. A simple and efficient extraction and purification procedure of PAT from GM maize and rape was developed by means of the immunoaffinity column (IAC) as a cleanup tool. Purified polyclonal antibodies against PAT was produced and coupled covalently to CNBr-activated Sepharose 4B. Both the binding conditions and elution protocols were optimized. The IAC was successfully employed to isolate and purify the PAT from the various tissues of GM maize (Bt11 and Bt176) and rapes (MS1/RF1 and MS8/RF3). Enzyme linked immunosorbent assay (ELISA) procedures were established further on to measure the PAT protein. GM maize cannot be differentiated from non-GM maize by ELISA. But IAC-ELISA allowed 0.5% GMOs to be detected in MS1/RF1 and MS8/RF3 and 10% GMOs to be detected in Bt11 and Bt176, which makes this method an acceptable method to access PAT protein in GM rapes and maize.     

Sampling plan and test protocol for the semiquantitative detection of genetically modified canola (Brassica napus) seed in bulk canola seed

Using a statistical approach, sampling plans for the semiquantitative detection of genetically modified (GM) canola within a bulk seed sample can be developed and tailored to meet different GM thresholds, costs, and confidence limits. This is achieved by changing the number of subsamples analyzed, the number of seeds per subsample, and the percentage of positive results allowed. These sampling plans must be devised carefully, taking into account the detection capability of the analytical assay. This is particularly important in the case of InVigor (a registered trademark of Bayer CropScience) canola, for which expression levels of the introduced protein in seed are very low. Lateral flow assays and enzyme-linked immunosorbent assays (ELISA) were both investigated for their suitability as a qualitative assay using a subsampling approach. On the basis of an ELISA, several sampling plans have been devised and validated to provide at least 99% confidence that bulk seed samples containing at least 0.9% (w/w) InVigor canola will be detected. Although the term "seed" is used throughout this paper to refer to the canola, the term "seed" is to be taken to include both seed and the canola seed (grain) that is harvested by the farmer/grower.     

Modelling and measurement of the effects of fertilizer-N and crop residue incorporation on N-dynamics in vegetable cropping

Abstract. An easy-to-use simulation model was developed with the aim of improving fertilizer practice when crop residues are incorporated instead of removed. It was tested against data from a well-monitored N fertilizer experiment in which three successive brassica crops were grown followed by barley.
Experimental findings included: (a) that fertilizer-N greatly increased yield of 3 crops without increasing residual soil mineral-N at harvest unless supply exceeded crop demand; (b) that, by contrast, fertilizer-N increased both yield of and residual soil mineral-N left by the remaining crop throughout the range of applications; and (c) that at each harvest the apparent disappearance of fertilizer-N by immobilization and other processes was almost proportional to fertilizer-N. These phenomena were simulated by the model.
Overall the model gave estimates of soil mineral-N, plant weight and % N in the crop for each crop that were either in close agreement with or linearly related to the measured values. Deviations from this pattern are shown to result almost entirely from experimental error. In addition the model gave simulations of the time course of soil mineral-N and soil water that were in good agreement with measurement.
Simulations with the model indicate that appreciable benefits from residue incorporation of crops will only be obtained when fertilizer-N is also applied, unless plant masses at harvest are small.     

Identification of Metabolically Active Rhizosphere Microorganisms by Stable Isotopic Probing of PLFA in Switchgrass

Root-derived rhizodeposits of recent photosynthetic carbon (C) are the foremost source of energy for microbial growth and development in rhizosphere soil. A substantial amount of photosynthesized C by the plants is translocated to belowground and is released as root exudates that influence the structure and function of soil microbial communities with potential inference in nutrient and C cycling in the ecosystem. We applied the ¹³C pulse chase labeling technique to evaluate the incorporation of rhizodeposit-C into the phospholipid fatty acids (PLFAs) in the bulk and rhizosphere soils of switchgrass (Panicum virgatum L.). Soil samples of bulk and rhizosphere were taken at 1, 5, 10 and 20 days after labeling and analyzed for ¹³C enrichment in the microbial PLFAs. Temporal differences of ¹³C enrichment in PLFAs were more prominent than spatial differences. Among the microbial PLFA biomarkers, fungi and Gram-negative (GM-ve) bacterial PLFAs showed rapid enrichment with ¹³C compared to Gram-positive (GM+ve) and actinomycetes in rhizosphere soil. The ¹³C enrichment of actinomycetes biomarker PLFA significantly increased along with sampling time in both soils. PLFAs indicative to fungi, GM-ve and GM+ve showed a significant decrease in ¹³C enrichment over sampling time in the rhizosphere, but a decrease was also observed in GM-ve (16:1ω5c) and fungal biomarker PLFAs in the bulk soil. The relative ¹³C concentration in fungal PLFA decreased on day 10, whereas those of GM-ve increased on day 5 and GM+ve remained constant in the rhizosphere soil. However, the relative ¹³C concentrations of GM-ve and GM+ve increased on days 5 and 10, respectively, and those of fungal remain constant in the bulk soil. The present study demonstrates the usefulness of ¹³C pulse chase labeling together with PLFA analysis to evaluate the active involvement of microbial community groups for utilizing rhizodeposit-C.     

基于GF-1卫星数据的农作物种植面积遥感抽样调查方法

GF-1号卫星是中国2013年4月26日发射的一颗高分辨率遥感卫星,为解决该新型卫星数据在农作物对地抽样遥感调查中的应用技术方法问题,该文针对GF-1号卫星数据的特点,研究了基于GF-1号卫星16m WFV传感器和2m/8m PMS传感器卫星数据的农作物种植面积遥感抽样调查方法。根据研究区物候历,选择农作物识别关键期的16m WFV传感器数据进行多时相农作物种植面积的中分辨率遥感提取;在中分辨率农作物面积遥感分类图基础上,计算研究区域的MORAN I指数,确定格网抽样单元的大小,进行多目标农作物的MPPS(multivariate probability proportional to size)抽样;对抽样单元采用2m/8 m PMS传感器卫星数据进行高分辨率农作物面积制图;最后根据MPPS抽样方法进行总体农作物种植面积的推断,并计算CV值,评价抽样精度。以江苏省东台市为研究区对GF-1号卫星数据进行了应用研究。研究结果表明,GF-1号卫星数据完全可以应用于县级农作物种植面积的提取,农作物种植面积提取精度优于90%。     

Quantification of genetically modified soybean by quenching probe polymerase chain reaction

Quenching probe (QProbe) polymerase chain reaction (PCR) is a simple and cost-effective real-time PCR assay in comparison with other real-time PCR assays such as the TaqMan assay. We used QProbe-PCR to quantify genetically modified (GM) soybean (Roundup Ready soybean). We designed event-specific QProbes for Le1 (soy endogenous gene) and RRS (recombinant gene), and we quantified certified reference materials containing 0.1, 0.5, 1, 2, and 5% GM soybean. The TaqMan assay was also applied to the same samples, and the results were compared. The accuracy of QProbe-PCR was similar to that of TaqMan assay. When GM soybean content was 0.5% or more, the relative standard deviations of QProbe-PCR were less than 20%. QProbe-PCR is sensitive enough to monitor labeling systems and has acceptable levels of accuracy and precision.     

Effect of sampling density on regional soil organic carbon estimation for cultivated soils

An extensive knowledge of how sampling density affects soil organic C (SOC) estimation at regional scale is imperative to reduce uncertainty to a meaningful confidence level and aid in the development of sampling schemes that are both rational and economical. Using kriging prediction, this paper examined the effect of sampling density on regional SOC‐concentration estimations in cultivated topsoils at six scales in a 990 km² area of Yucheng County, a typical region in the N China Plain. Except the original data set (n = 394), five other sampling densities were recalculated using grids of 8 km × 8 km (n = 28), 8 km × 4 km (n = 44), 4 km × 4 km (n = 82), 4 km × 2 km (n = 142), and 2 km × 2 km (n = 257), respectively. Experimental SOC semivariances and kriging interpolations at six sampling density scales were calculated and modeled to estimate regional SOC variability. Accuracy of the effects of the five sampling densities on regional SOC estimations was assessed using the indices of mean error (ME) and root mean square error (RMSE) with 100 independent validation samples. By comparison with the kriged grid map derived from the 394 samples data set, the relative error (RE,%) was spatially calculated to highlight the spatial variability of prediction errors at five sampling‐density scales due to the intrinsic limitations of ME and RMSE in accuracy assessment. The results indicated that sampling density significantly affected the estimation of regional SOC concentration. Particularly when the sampling density was < 4 km × 4 km, the large spatial variation of SOC was concealed. Semivariance analysis indicated that different sampling density had significant effect on reasonable detection of the dominant factors which influenced SOC spatial variation. Greater sampling density could more exactly reveal regional SOC variation caused by human management. The prediction accuracy for regional SOC estimation increased with the increasing of sampling density. The critical areas with larger RE values should be intensified in the future sampling scheme, and the areas of lower RE values should be decreased relatively. A specific sampling scheme should be considered in accordance with the demand to the estimation accuracy of regional SOC stock at a certain confidence level. Our results will facilitate a better understanding of the effect of sampling density on regional SOC estimation for future sampling schemes by providing meaningful confidence levels.     

Identification of genetically modified potato (Solanum tuberosum) cultivars using event specific polymerase chain reaction

Several genetically modified (GM) cultivars are registered in Canada although they are not currently in commercial production. The GM cultivars can be distinguished from the non-GM and other GM cultivars by analyzing the DNA nucleotide sequence at the insertion site of the transgene corresponding to a single transformation event in the plant genome. Techniques based on modified polymerase chain reaction (PCR) strategies were used to generate sequence information from the plant genome flanking the insertion site of transgenic DNA for specific GM potato events. The plant genome sequence adjacent to the transgenic insertion was used to design PCR primers, which could be used in combination with a primer annealing to one of the nearby inserted genetic elements to amplify an event specific DNA fragment. The event specific PCR fragments generated were sequenced to confirm the specificity of the method.