Evidence map›Paper›PMID 27386337›Full record

ArticleSpringerPlus2016

Development of a qualitative real-time PCR method to detect 19 targets for identification of genetically modified organisms.

Cheng Peng, Pengfei Wang, Xiaoli Xu, Xiaofu Wang, Wei Wei, Xiaoyun Chen, Junfeng Xu

Open access · diamondAbstract read
In one paragraph

Article in SpringerPlus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.7field-weighted citation impact, top 8% of its field
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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Transcriptional Profile ofFrontiers in cellular and infection microbiology · 2018
    Article
  3. 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

7 authors at 2 institutions in 1 country.

Cheng PengInstitute of Quality and Standard for Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021 China ; State Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control, Hangzhou, 310021 China.
Pengfei WangCollege of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058 China.
Xiaoli XuInstitute of Quality and Standard for Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021 China ; State Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control, Hangzhou, 310021 China.
Xiaofu WangInstitute of Quality and Standard for Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021 China ; State Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control, Hangzhou, 310021 China.
Wei WeiInstitute of Quality and Standard for Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021 China ; State Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control, Hangzhou, 310021 China.
Xiaoyun ChenInstitute of Quality and Standard for Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021 China ; State Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control, Hangzhou, 310021 China.
Junfeng XuInstitute of Quality and Standard for Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021 China ; State Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control, Hangzhou, 310021 China.
ZheJiang Academy of Agricultural Sciences · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the amount of commercially available genetically modified organisms (GMOs) grows recent years, the diversity of target sequences for molecular detection techniques are eagerly needed. Considered as the gold standard for GMO analysis, the real-time PCR technology was optimized to produce a high-throughput GMO screening method. With this method we can detect 19 transgenic targets. The specificity of the assays was demonstrated to be 100 % by the specific amplification of DNA derived from reference material from 20 genetically modified crops and 4 non modified crops. Furthermore, most assays showed a very sensitive detection, reaching the limit of ten copies. The 19 assays are the most frequently used genetic elements present in GM crops and theoretically enable the screening of the known GMO described in Chinese markets. Easy to use, fast and cost efficient, this method approach fits the purpose of GMO testing laboratories.

Indexed as

Genetically modified organism (GMO)IdentificationReal-time PCRScreening

Identifiers

PMID27386337
PMCPMC4920734
OpenAlexW2474267136

What OpenQuestion holds

Textmetadata
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.