Evidence map›Paper›PMID 34023912›Full record

ArticleAnalytical and bioanalytical chemistry2021

Development and assessment of a duplex droplet digital PCR method for quantification of GM rice Kemingdao.

Jun Li, Shanshan Zhai, Hongfei Gao, Fang Xiao, Yunjing Li, Gang Wu, Yuhua Wu

Abstract read
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In one paragraph

Article in Analytical and bioanalytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. [A digital droplet PCR detection technique based on filter faster R-CNN].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024
    Article
  4. Article
  5. 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.

Jun LiKey Laboratory of Biology and genetic improvement of oil crops of the Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, Hubei, China.
Shanshan ZhaiKey Laboratory of Biology and genetic improvement of oil crops of the Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, Hubei, China.
Hongfei GaoKey Laboratory of Biology and genetic improvement of oil crops of the Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, Hubei, China.
Fang XiaoKey Laboratory of Biology and genetic improvement of oil crops of the Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, Hubei, China.
Yunjing LiKey Laboratory of Biology and genetic improvement of oil crops of the Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, Hubei, China.
Gang WuKey Laboratory of Biology and genetic improvement of oil crops of the Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, Hubei, China. wugang@caas.cn.
Yuhua WuKey Laboratory of Biology and genetic improvement of oil crops of the Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, Hubei, China. wuyuhua@oilcrops.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The implementation of genetically modified organism (GMO) labeling policies requires accurate quantitative methods to measure the GMO content in test samples. A Kemingdao/phospholipase D (KMD/PLD) duplex ddPCR method was established with rice genomic DNA (gDNA) of homozygous KMD as template by optimizing the annealing temperature and cycle number. Duplex ddPCR showed a linear response over the dynamic range from 68 to 175,000 copies, covering four orders of magnitude. The limit of detection (LOD) and limit of quantification (LOQ) for duplex ddPCR were determined to be 9 copies and 34 copies of the rice haploid genome, respectively. A very high dilution factor would result in unacceptable bias and coefficients of variation for determining copy number of the gDNA solution, and more than 1000 copies of the DNA template in one reaction is preferred to obtain accurate quantitative results by duplex PCR. Five blinded DNA samples with copy number ratio of 10%, 5%, 1%, 0.1%, and 0.05%, and three blinded real-life matrix samples with mass fraction of 5%, 1%, and 0.5% were quantified by duplex ddPCR, simplex ddPCR, and qPCR. These three methods all gave comparable GMO content and copy numbers within the required precision, but the duplex ddPCR showed the narrowest uncertainty interval and provided the highest precision in comparison to simplex ddPCR and qPCR. The ddPCR is a more appealing and reliable technology for the accurate quantification of GMO content than simplex ddPCR and qPCR considering the uncertainty and precision of quantitative results, the time consumption of generating droplets, and the cost of ddPCR reagents.

Indexed as

DNA, PlantGenome, PlantHomozygoteOryzaPlants, Genetically ModifiedPolymerase Chain ReactionDNA, PlantComparisonDroplet digital PCRGenetically modified organismsGMO quantificationKemingdaoReal-time quantitative PCR

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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.