Evidence map›Paper›PMID 30294516›Full record

ArticleEnvironmental sciences Europe2018

Systematic miRNome profiling reveals differential microRNAs in transgenic maize metabolism.

Sarah Zanon Agapito-Tenfen, Vinicius Vilperte, Terje Ingemar Traavik, Rubens Onofre Nodari

Open access · goldAbstract read
In one paragraph

Article in Environmental sciences Europe, 2018. 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, top 91% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  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 at 2 institutions in 2 countries.

Sarah Zanon Agapito-Tenfen *GenØk-Centre for Biosafety, Forskningsparken i Breivika, Sykehusveien 23, 9294 Tromsø, Norway.
Vinicius Vilperte *2Departamento de Fitotecnia, Universidade Federal de Santa Catarina, Florianópolis, 88034000 Brazil.
Terje Ingemar TraavikGenØk-Centre for Biosafety, Forskningsparken i Breivika, Sykehusveien 23, 9294 Tromsø, Norway.
Rubens Onofre Nodari2Departamento de Fitotecnia, Universidade Federal de Santa Catarina, Florianópolis, 88034000 Brazil.
GenØk · NOUniversidade Federal de Santa Catarina · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile some genetically modified organisms (GMOs) are created to produce new double-stranded RNA molecules (dsRNA), in others, such molecules may occur as an unintended effect of the genetic engineering process. Furthermore, GMOs might produce naturally occurring dsRNA molecules in higher or lower quantities than its non-transgenic counterpart. This study is the first to use high-throughput technology to characterize the miRNome of commercialized GM maize events and to investigate potential alterations in miRNA regulatory networks.

resultsThirteen different conserved miRNAs were found to be dys-regulated in GM samples. The insecticide Bt GM variety had the most distinct miRNome. These miRNAs target a range of endogenous transcripts, such as transcription factors and nucleic acid binding domains, which play key molecular functions in basic genetic regulation. In addition, we have identified 20 potential novel miRNAs with target transcripts involved in lipid metabolism in maize. isomiRs were also found in 96 conserved miRNAs sequences, as well as potential transgenic miRNA sequences, which both can be a source of potential off-target effects in the plant genome. We have also provided information on technical limitations and when to carry on additional in vivo experimental testing.

conclusionsThese findings do not reveal hazards per se but show that robust and reproducible miRNA profiling technique can strengthen the assessment of risk by detecting any new intended and unintended dsRNA molecules, regardless of the outcome, at any stage of GMO development.

Indexed as

BiosafetyGMOsmiRNAmiRNomeRisk assessmentZea mays

Identifiers

PMID30294516
PMCPMC6153861
OpenAlexW2892155112

What OpenQuestion holds

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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.