Evidence map›Paper›PMID 39358775›Full record

ArticleGenomics & informatics2024

Review of the technology used for structural characterization of the GMO genome using NGS data.

Kahee Moon, Prakash Basnet, Taeyoung Um, Ik-Young Choi

Abstract read
In one paragraph

Article in Genomics & informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kahee MoonDepartment of Agriculture and Life Industry, Kangwon National University, Chuncheon, South Korea.
Prakash BasnetDepartment of Agriculture and Life Industry, Kangwon National University, Chuncheon, South Korea.
Taeyoung UmDepartment of Agriculture and Life Industry, Kangwon National University, Chuncheon, South Korea.
Ik-Young ChoiDepartment of Agriculture and Life Industry, Kangwon National University, Chuncheon, South Korea. choii@kangwon.ac.kr.

Funding

the Korea Disease Control and Prevention Agency (KDCA) 2023-ER8001-00the National Research Foundation Korea NRF-2020R1I1A3052662
6 · The paper itself

Abstract

The molecular characterization of genetically modified organisms (GMOs) is essential for ensuring safety and gaining regulatory approval for commercialization. According to CODEX standards, this characterization involves evaluating the presence of introduced genes, insertion sites, copy number, and nucleotide sequence structure. Advances in technology have led to the increased use of next-generation sequencing (NGS) over traditional methods such as Southern blotting. While both methods provide high reproducibility and accuracy, Southern blotting is labor-intensive and time-consuming due to the need for repetitive probe design and analyses for each target, resulting in low throughput. Conversely, NGS facilitates rapid and comprehensive analysis by mapping whole-genome sequencing (WGS) data to plasmid sequences, accurately identifying T-DNA insertion sites and flanking regions. This advantage allows for efficient detection of T-DNA presence, copy number, and unintended gene insertions without additional probe work. This paper reviews the current status of GMO genome characterization using NGS and proposes more efficient strategies for this purpose.

Indexed as

GMOMolecular characterization evaluationNGSSouthern blot

Identifiers

PMID39358775
PMCPMC11445869

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.