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Current perspectives on genetically modified crops and detection methods.

Madhu Kamle1, Pradeep Kumar2, Jayanta Kumar Patra3

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Genetically modified (GM) crops are rapidly adopted globally, increasing the need for accurate detection methods. This review covers GM crop commercialization and evaluates detection systems for food and feed safety.

Keywords:
DetectionELISAGenetically modified cropsNext-generation sequencingReal-time PCRTransgenic

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Area of Science:

  • Agricultural Biotechnology
  • Food Science
  • Genetics

Background:

  • Genetically modified (GM) crops demonstrate rapid adoption in the agribiotech industry, offering a sustainable food supply solution.
  • Over two decades of commercial GM crop production (1996-2015) show increasing global farmer adoption of genetic engineering.
  • Stacked traits in GM crops necessitate reliable detection methods for tracing and labeling in the food/feed chain.

Purpose of the Study:

  • To review the current status of GM crop commercialization worldwide.
  • To discuss the benefits and limitations of various detection systems for GM organisms (GMOs) in food and feed.
  • To highlight the importance of regulatory measures for GM crop detection.

Main Methods:

  • Review of scientific literature on GM crop commercialization and detection technologies.
  • Analysis of DNA-based detection methods, including conventional and advanced techniques.
  • Evaluation of whole genome sequencing using next-generation sequencing (NGS) for GMO detection.

Main Results:

  • GM crops are increasingly adopted globally, with diverse traits and mandatory or voluntary labeling schemes in many countries.
  • DNA-based detection methods are established, but advanced techniques like NGS offer enhanced capabilities.
  • Effective regulatory measures and sensitive detection are crucial for managing GM crop controversies.

Conclusions:

  • The widespread adoption of GM crops requires robust detection systems to ensure food and feed safety and comply with regulations.
  • Next-generation sequencing (NGS) presents a powerful tool for identifying GMOs with high sensitivity and specificity.
  • Continued research and development in detection technologies are essential for responsible GM crop management.