ArticleFrontiers in plant science2020
Whole-Genome Sequencing: An Effective Strategy for Insertion Information Analysis of Foreign Genes in Transgenic Plants.
Article in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Breeding of glyphosate-tolerant genetically modified rice BriA15-38.GM crops & food · 2026Article
- Read-mapping signatures for molecular characterization of transgenic DNA insertions in paired-end Illumina data.BMC biotechnology · 2026Article
- Genomic Variability Survey inInternational journal of molecular sciences · 2024Article
- Review of the technology used for structural characterization of the GMO genome using NGS data.Genomics & informatics · 2024Article
- Detection and identification of authorized and unauthorized GMOs using high-throughput sequencing with the support of a sequence-based GMO database.Food chemistry. Molecular sciences · 2022Article
- Whole-genome sequencing identifies I-SceI-mediated transgene integration sites in Xenopus tropicalis snai2:eGFP line.G3 (Bethesda, Md.) · 2022Article
- LIFE-Seq: a universal Large Integrated DNA Fragment Enrichment Sequencing strategy for deciphering the transgene integration of genetically modified organisms.Plant biotechnology journal · 2022Article
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Authors and funding
5 authors.
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Abstract
Molecular characterization is a key step in the risk assessment of genetically modified organisms (GMOs) for regulatory approval. Herein, we describe a method for analyzing copy number, insertion loci, and flanking sequences through whole-genome sequencing (WGS) and bioinformatics. Comprehensive molecular characterization of G2-6 transgenic rice was performed using this pipeline. The results showed that one copy of the foreign gene was inserted into rice chromosome 8. There was no vector backbone insertion but an unexpected insertion and DNA rearrangement at the 3' end of the T-DNA. We also obtained the 5' and 3' flanking sequences of the T-DNA. Our results suggested that the use of a combination of WGS and bioinformatics is an effective strategy for the molecular characterization of GMOs.
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