Introduction

Since the first commercialization of genetically modified (GM) crops which known as living modified organism in 1996, the area dedicated to cultivation of GM crops has steadily increased to 189.8 million hectares worldwide (ISAAA, 2017). Major GM crops include maize, soybean, cotton, rapeseed, and more recently, alfalfa (Medicago sativa L.), which has emerged as an important perennial forage crop. Alfalfa, a member of the family Fabaceae, is the most important perennial forage crop for dairy cattle, and is also used for improving rhizosphere fertility (Tesfaye et al., 2005).

Intensive research into genetically engineering of alfalfa has been conducted to improve its agronomic performance, forage quality, and industrial attributes (Kumar, 2011). Most research has focused on applying transgenic methods to improve forage quality (Guo et al., 2001; Le et al., 2017; Reddy et al., 2005), increase resistance to abiotic stressors such as salt and drought (Bao et al., 2009; Jiang et al., 2009; Jin et al., 2010; Zhang et al., 2012), increase herbicide resistance (D’Halluin et al., 1990), and to induce the production of novel compounds (Lee et al., 2008; Peréz Aguirreburualde et al., 2013; Saruul et al., 2002; Vlahova et al., 2005). To date, all GM alfalfa have been developed by Monsanto Corporation, with the incorporation of herbicide resistance (called Roundup Ready alfalfa) and/or lignin biosynthesis inhibition (called reduced lignin alfalfa); these varieties have been approved in many countries, including South Korea. The varieties J101 and J163 include the transgene CP4 epsps, which provides resistance to the herbicide glyphosate under the control of the FMV promoter. KK179 was developed with the RNA interference (RNAi) technique to suppress the endogenous caffeoyl-CoA-3-O-methyltransferase (CCOMT) gene, a key enzyme in S lignin production (Barros et al., 2019). These three single traits (J101, J163, and KK179) and two stack traits (J101×J163 and KK179×J101) are authorized for food and feed production, and have been deregulated for cultivation in the USA, Canada, Japan, Mexico, and Argentina.

Detection and identification of GM alfalfa is currently performed using real-time polymerase chain reaction (qPCR) methods (Guertler et al., 2019). For regulatory purposes, we developed the event-specific qPCR method using plasmid standards due to the lack of available reference materials (RMs). We synthesized plasmids after searching patents for available data and validated the detection method in-house. We designed the event-specific primer and probes with FAM, ZEN, and IBFQ for qPCR, and the amplification sizes were 102 bp (J101), 118 bp (J163), and 178 bp (KK179). The establishment of a reliable, rapid, and cost-effective identification method for GM alfalfa is crucial for the regulation of transboundary movement. Quantitative PCR is highly sensitive and does not require gel electrophoresis, but conventional multiplex PCR is suitable for qualitative analysis and can be implemented in under-equipped laboratories.

The aim of this study was to establish an event-specific multiplex PCR detection method for three GM alfalfa traits (J101, J163, and KK179) based on the available genetic information. To validate the methods according to the general genetically modified organism (GMO) testing method, we performed limit of detection (LOD) assays and random RM DNA analysis. To assess the broad applicability of our multiplex PCR method, we applied it to analysis of feral alfalfa specimens from South Korea. Based on these results, we suggest that the multiplex PCR method is suitable for the detection and identification of three GM alfalfa in samples.

Materials|Methods

Results

Discussion

Over 500 GM events, including stacked events, have been authorized worldwide (ISAAA, 2017). Implementation of management policy is typically based on the presence or absence of GM DNA or protein in tested samples. Because GM crop companies are continuously developing new GM-events, detection and identification methods for these events must be established in order for management to be successful. As the variety of commercially available GM crops has increased, the use of multiple GMO detection systems has become routine. A multiplex detection system using conventional PCR would be a powerful tool for the detection and quantification of transgenic elements.

Alfalfa has been used as livestock feed for decades because of its high forage quality. Alfalfa is also used for various non-agricultural purposes such as rehabilitation of rangelands, erosion control and reduction in forests and mined soils, and in revegetation of damaged land (Sullivan, 1992). In South Korea, alfalfa seed has been used for erosion protection on road cut slopes via seed spray for many years, possibly leading to unintentional release of GM alfalfa into the natural environment. To monitor the release of GM alfalfa into nature, it is necessary to establish time and cost effective detection methods. The GMO environmental monitoring program in the Ministry of Environment (MOE) and the National Institute of Ecology (NIE) in South Korea has searched for volunteers of GM maize, soybean, canola, and cotton since 2009 (Eum et al., 2019), and we have recently added alfalfa for GMO monitoring due to the steady increase in alfalfa imports and the increasing proliferation of wild alfalfa (NIE, 2018). Reliable detection methods for GM alfalfa will enable the identification of volunteers and the informed management of GMOs released in nature.

Event-specific detection methods for three GM alfalfas by real-time PCR have been developed (Guertler et al., 2019). The present study established specific qPCR detection methods for alfalfa events J101, J163, and KK179 and validated the methods according to the EU guidelines for GMO testing. For in-house validation, the research group performed LOD and robustness tests with thermal cyclers. An inter-laboratory comparison study was also performed by seven laboratories organized by the Federal Office of Consumer Protection and Food Safety (BVL). These methods would provide a powerful tool for the qualitative and quantitative detection of GM alfalfa, but many under-equipped laboratories in developing countries lack the expensive equipment and materials, including probes and reagents that are necessary for the application of this system. To overcome these limitations, we developed a fast and cost effective multiplex PCR method using event-specific primers. To successfully detect GM alfalfa using multiplex PCR, the size of the PCR products should be easily separated by gel electrophoresis. In this study, we designed specific primers for J163, J101, and KK179 (Table 1). J101 and J163 were developed with the same transgene cassette to exhibit herbicide resistance (Fig. 1), and primers specific to the transgene and plant genome were therefore necessary to identify J101 and J163. Moreover, to reduce primer interference in the multiplex PCR, we applied the same transgene binding primer (J163-F and J101-F) for J101 and J163 (Table 1). The amplicon length of PCR for each amplification is crucial for the successful development of the multiplex PCR method (Mathuoka et al., 2001). We performed the event-specific multiplex PCR using primers for 98 bp (J163), 202 bp (J101), and 347 bp (KK179) to separate PCR products in 2.5% agarose gel (Fig. 2). The PCR amplification yielded variable sizes of separation in the agarose gel without the long run time of electrophoresis. These results indicate that the newly developed multiplex PCR method is suitable for identifying the three GM alfalfas in one reaction, possibly reducing the time and cost necessary to perform the analysis.

To evaluate the sensitivity of the multiplex PCR method, we conducted an LOD assay and random RM DNA mixture analysis. Serially diluted alfalfa gDNA mixtures (100–0.2 ng/µL) were used for multiplex PCR, and the amplification strength was decreased by DNA concentration dependently. The minimum concentration at which the multiplex PCR band was detectable was 12.5 ng/µL, but we recommended that 12.5 ng/µL should be used for qualitative analysis. The majority of GM volunteers detected by GMO monitoring have been homozygotes or heterozygotes, indicating that the absolute quantity of genomic DNA is critical for GMO identification (in press). In a comparison of single event and stacked event PCR (Fig. 3B), the amplification strength of single event PCR was greater than that of three stacked event PCR. These results indicate that the minimum concentration of genomic DNA from volunteer plants needed to detect GM alfalfa.

Feral alfalfa is commonly observed on roadsides and natural habitats from East Asia to Europe, and in South Africa, Australia, and North and South America (Michaud et al., 1988). In South Korea, alfalfa plants and their seeds are used for forage and to prevent soil erosion of cut slopes. Because of low self-sufficiency of alfalfa, the majority of alfalfa plants and seeds are imported. Moreover, according to the Act on Transboundary Movement of GMOs in South Korea, a 3% labeling threshold for GM seeds could be allowed for crop trade. For these reasons, there is a high likelihood of the release of GM alfalfa seed into the natural environment. To monitor the unintentional release of GM alfalfa to the natural environment, it is necessary to establish a detection system for all GM alfalfas currently approved in South Korea. In this study, we used 91 feral alfalfa specimens collected from natural habitats between 2000 and 2018 to screen for unintentionally released GM alfalfa. The feral alfalfa samples were collected from natural environmental sites nearby open area and roadside in the Korean peninsula, including Baengnyeong Island and Jeju Island (Fig. 4A). The results of our feral alfalfa specimen analysis by alfalfa multiplex PCR indicated that no GM alfalfa has yet been released in South Korea (Fig. 4B). However, there is still an increased risk of environmental release of GM alfalfa, and the management of GM alfalfa seeds must be enforced. In conclusion, our newly developed GM alfalfa detection method using conventional multiplex PCR is suitable for single and stack event analysis and applicable for the analysis and identification of GM events in feral alfalfa.