Evidence map›Paper›PMID 29085378›Full record

ReviewFrontiers in plant science2017

Molecular Approaches for High Throughput Detection and Quantification of Genetically Modified Crops: A Review.

Ibrahim B Salisu, Ahmad A Shahid, Amina Yaqoob, Qurban Ali, Kamran S Bajwa, Abdul Q Rao, Tayyab Husnain

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  2. Review
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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.

Ibrahim B SalisuDepartment of Animal Science, Faculty of Agriculture, Federal University Dutse, Jigawa, Nigeria.
Ahmad A ShahidCentre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
Amina YaqoobCentre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
Qurban AliCentre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
Kamran S BajwaCentre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
Abdul Q RaoCentre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
Tayyab HusnainCentre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As long as the genetically modified crops are gaining attention globally, their proper approval and commercialization need accurate and reliable diagnostic methods for the transgenic content. These diagnostic techniques are mainly divided into two major groups, i.e., identification of transgenic (1) DNA and (2) proteins from GMOs and their products. Conventional methods such as PCR (polymerase chain reaction) and enzyme-linked immunosorbent assay (ELISA) were routinely employed for DNA and protein based quantification respectively. Although, these Techniques (PCR and ELISA) are considered as significantly convenient and productive, but there is need for more advance technologies that allow for high throughput detection and the quantification of GM event as the production of more complex GMO is increasing day by day. Therefore, recent approaches like microarray, capillary gel electrophoresis, digital PCR and next generation sequencing are more promising due to their accuracy and precise detection of transgenic contents. The present article is a brief comparative study of all such detection techniques on the basis of their advent, feasibility, accuracy, and cost effectiveness. However, these emerging technologies have a lot to do with detection of a specific event, contamination of different events and determination of fusion as well as stacked gene protein are the critical issues to be addressed in future.

Indexed as

detectiondigital-PCRGMOsmicro arraynext generation sequencingquantification

Identifiers

PMID29085378
PMCPMC5650622

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Registered trials

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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.