Scholarlink

<p>The European Union regulates genetically modified organisms (GMOs) in the food chain (Regulations (EC) N° 1829/2003 and N° 1830/2003) to ensure safety, traceability, and freedom of choice. Since 2018, genome-edited (GE) organisms fall under this legislation. However, their detection and unambiguous identification are more challenging, sometimes differing from their wild-type by only one or a few single nucleotide variations (SNVs). High-throughput sequencing with SNV-based genetic fingerprint detection helps overcome these limitations but has so far only been applied to pure samples. Sequencing complex food mixtures renders reliable SNV detection costly and technically challenging. This study, for the first time, explored using high-throughput sequencing with adaptive sampling (AS) to selectively enrich a target species in food mixtures, reducing matrix complexity and enabling the detection and identification of GE lines. As a proof-of-concept, mixtures of soybean -and trace levels of GE or wild-type rice were analyzed under three sequencing modes: standard, AS enriching rice, and AS depleting soybean. Sequencing data were analyzed to determine whether the rice line, GE or wild-type, was successfully enriched and identified using its respective genetic fingerprint. This promising proof-of-concept represents a first step toward facilitating the detection and identification of GE organisms in the food chain.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Enhancing low-level genome-edited crop detection and identification in food mixtures using nanopore adaptive sampling: Rice-Soybean mixture as proof-of-concept

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月11日

查看全文
  • Arno Stuyts,
  • Amin Zolfaghari,
  • Jolien D’aes,
  • Kevin Vanneste,
  • Anne-Cécile Meunier,
  • Alexandre Soriano,
  • Sigrid C. J. De Keersmaecker,
  • Dieter Deforce,
  • Nancy H. C. Roosens,
  • Marie-Alice Fraiture

摘要

The European Union regulates genetically modified organisms (GMOs) in the food chain (Regulations (EC) N° 1829/2003 and N° 1830/2003) to ensure safety, traceability, and freedom of choice. Since 2018, genome-edited (GE) organisms fall under this legislation. However, their detection and unambiguous identification are more challenging, sometimes differing from their wild-type by only one or a few single nucleotide variations (SNVs). High-throughput sequencing with SNV-based genetic fingerprint detection helps overcome these limitations but has so far only been applied to pure samples. Sequencing complex food mixtures renders reliable SNV detection costly and technically challenging. This study, for the first time, explored using high-throughput sequencing with adaptive sampling (AS) to selectively enrich a target species in food mixtures, reducing matrix complexity and enabling the detection and identification of GE lines. As a proof-of-concept, mixtures of soybean -and trace levels of GE or wild-type rice were analyzed under three sequencing modes: standard, AS enriching rice, and AS depleting soybean. Sequencing data were analyzed to determine whether the rice line, GE or wild-type, was successfully enriched and identified using its respective genetic fingerprint. This promising proof-of-concept represents a first step toward facilitating the detection and identification of GE organisms in the food chain.