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DNA-based testing provides assurance of grain quality

Grain Biotechnology Program
Dr. Tigst Demeke

Dr. Tigst Demeke
Research scientist/program manager
Grain Biotechnology
tigst.demeke@grainscanada.gc.ca

Team members

Research scientist/program manager

  • Dr. Tigst Demeke

Biologist

  • Michelle Holigroski

Technicians

  • Mathieu Dusabenyagasani
  • Maria Eckhardt
  • Monika Eng
  • Danny Saydak

The Grain Biotechnology Program develops and evaluates DNA-based methods for detecting genetically modified (GM) events in grain and uses these methods to monitor grain when required. Many countries have regulations that govern the approval and traceability of GM food ingredients and having the ability to detect and quantify unapproved and discontinued GM events is important for ensuring market access for Canadian grain. We also use DNA-based tests to monitor wheat shipments for varieties that do not meet the requirements for wheat classes and to certify the varietal purity of malting barley cargos.

Detecting multiple GM events in soybeans

The number of new GM events in soybeans and canola has been steadily increasing since the mid-1990’s and we currently have validated methods for detecting and quantifying 18 different GM events in soybeans (Table 1). These methods are based on polymerase chain reaction (PCR) and have a limit of detection and limit of quantification of 0.05%.

The PCR detection of each GM event in a single soybean sample can be time consuming but our methods allow us to detect many GM events at the same time. We dispense the required primer and probe concentrations into 96-well plates and freeze them. After the addition of the sample DNA and other ingredients needed for testing, we analyze the sample DNA for all 18 GM events using four PCR tests for each event. Once the positive GM events in the sample are identified, we determine their quantities using a real-time quantitative PCR assay. Our lab uses the QuantStudioTM 7 Pro real-time PCR system to detect and quantify GM events in grain samples (Figure 1). This equipment has improved our capacity for PCR testing and is a replacement for the Applied BiosystemsTM 7500 System that was used in our lab from 2004 to 2023.

Varietal purity of CDC Copeland

Variety is an important consideration when barley is selected for malting purposes and most buyers require a minimum of 95% varietal purity. The purity of the variety CDC Copeland recently became a major concern when a relatively high percentage of an undesignated DNA profile was found in some samples from the 2022 growing season. We collaborated with the Grain Research Laboratory’s Microbiology and Grain Genomics Program, the Canadian Food Inspection Agency, breeders and industry partners to test samples of CDC Copeland for this undesignated DNA profile. It was subsequently confirmed that initial breeder seed of CDC Copeland contains low levels of the undesignated DNA profile and that its presence was not a contamination event. A study by the Grain Research Laboratory’s Barley and Other Grains Research/Milling and Malting Program found that the grain and malting characteristics did not differ in samples of CDC Copeland with high levels of the undesignated DNA profile. We also collaborated with the Barley and other Grains Research/Milling and Malting Program in testing selected cargo and harvest samples.

Technology used for varietal identification monitoring

The cooperation of breeders in supplying samples of the new breeder seeds of barley and wheat is essential to ensure that all varieties are represented in our database.

For many years we assessed the varietal purity of barley samples using a Li-Cor system that is based on DNA markers called microsatellites. Although this method is precise, it is not efficient since only a limited number of samples can be analyzed at one time. The Takara SmartChip system validated by the Grain Research Laboratory’s Microbiology and Grain Genomics Program is now being used since it allows high throughput identification of Canadian barley varieties using 24 DNA markers.

To test wheat cargo samples, we use OpenArrayTM genotyping technology and have the DNA profiles of many wheat varieties in our database. As new varieties are released this database is updated.

Recent monitoring activities

Between August 1, 2022, and July 31, 2023, we analyzed the variety composition of the following:

  • 612 samples from wheat cargo, with 178 samples re-tested (drill down testing)
  • 200 samples from durum cargo
  • 36 samples of cargo aggregates (previously called monthly cargo composites)
  • 60 samples for wheat co-op trials
  • 68 wheat samples from the Harvest Sample Program
  • 23 submitted barley cargo samples

In addition, 76 wheat cargo samples were analyzed for the presence of the MON71200 GM event. This GM event has not been detected since testing for it started in 2018, but wheat exporters can request testing on a fee for service basis.

Figure 1  QuantStudioTM 7 Pro instrument used for real-time PCR testing.
QuantStudioTM 7 Pro instrument and computer monitor
Table 1  Validated real-time quantitative PCR methods for GM events in soybeans
GMO eventTrait
A2704-12Glufosinate (Liberty) herbicide tolerance
A5547Glufosinate herbicide tolerance
BPS-CV127Imidazolinone herbicide tolerance
DAS44406-6Glufosinate, glyphosate and 2,4-D herbicide tolerance
DAS68416-4Glufosinate and 2,4-D herbicide tolerance
DAS81419-2Glufosinate herbicide tolerance and lepidopteran insect resistance
DP305423High oleic/low linoleic and linolenic acid
DP356043Glyphosate and sulfonylurea herbicide tolerance
FG72Glyphosate and isoxaflutole herbicide tolerance
GMB151Isoxaflutole herbicide tolerance and cyst nematode resistance
MON40-3-2Glyphosate herbicide tolerance (Roundup Ready I)
MON88701Lepidopteran insect resistance
MON87705Glyphosate herbicide tolerance; modified oil/fatty acid
MON87708Dicamba herbicide tolerance
MON87751Lepidopteran insect resistance
MON87769Glyphosate herbicide tolerance; modified oil/fatty acid
MON89788Glyphosate herbicide tolerance (Roundup Ready II)
SYHTOH2Glufosinate and Mesotrione herbicide tolerance
Recent publications
  • Lee, S-J., Eckhardt, M., Dusabenyagasani, M., Izydorczyk, M., Demeke, T., Perry, D. and S. Walkowiak. 2024. Identification of Canadian barley varieties by high-throughput SNP genotyping. Can. J. Plant Sci. https://doi.org/10.1139/cjps-2023-0187

Page details

2024-06-24

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