ReviewFrontiers in genetics2024
Application of next-generation sequencing in the detection of transgenic crop.
Review in Frontiers in genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Multiplex PCR Fluorescence Method for Detection of Genetically Modified Maize Strains.Current issues in molecular biology · 2026Article
- Comprehensive Method for Soybean Cultivar Identification Using MGIseq, VCF2GENOME, and REST API.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Advanced Nanomaterial-Based Electrochemical Biosensing of Loop-Mediated Isothermal Amplification Products.Biosensors · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the rapid development of transgenic technology and the increasing prevalence of genetically modified (GMO) crops, incidents such as illegal importation, environmental contamination, and safety concerns associated with GMOs have risen significantly in recent years. Consequently, there is a growing demand for more advanced methods of GMO crop detection. Traditional molecular detection techniques, which rely on nucleic acids or proteins, are becoming less effective due to the increasing complexity of GMO crop genomes. In contrast, detection technologies based on second- and third-generation high-throughput sequencing offer promising solutions to these challenges. This review provides a comprehensive overview of the latest advancements in GMO crop detection technologies, categorizing and describing various approaches, and comparing their respective strengths and limitations. The article emphasizes the current state, benefits, challenges, and future prospects of high-throughput sequencing in GMO detection, aiming to guide further research and development in this field.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.