Evidence map›Paper›PMID 33479482›Full record

ArticleScientific reports2021

Evaluation on reprogramed biological processes in transgenic maize varieties using transcriptomics and metabolomics.

Wei Fu, Pengyu Zhu, Mingnan Qu, Wang Zhi, Yongjiang Zhang, Feiwu Li, Shuifang Zhu

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Wei FuInstitute of Plant Quarantine, Chinese Academy of Inspection and Quarantine, Beijing, 100176, China.
Pengyu ZhuInstitute of Plant Quarantine, Chinese Academy of Inspection and Quarantine, Beijing, 100176, China.
Mingnan QuNational Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai, 200032, China.
Wang ZhiInstitute of Plant Quarantine, Chinese Academy of Inspection and Quarantine, Beijing, 100176, China.
Yongjiang ZhangInstitute of Plant Quarantine, Chinese Academy of Inspection and Quarantine, Beijing, 100176, China.
Feiwu LiInstitute of Agricultural Quality Standard and Testing Technology, Jilin Academy of Agricultural Sciences, Changchun, 130033, Jilin, China. lifeiwu3394@sina.com.
Shuifang ZhuInstitute of Plant Quarantine, Chinese Academy of Inspection and Quarantine, Beijing, 100176, China. zhushf0421@163.com.

Funding

National Science and Technology Major Project 2018ZX08012001
6 · The paper itself

Abstract

Genetic engineering (GM) has great potential to improve maize productivity, but rises some concerns on unintended effects, and equivalent as their comparators. There are some limitations through targeted analysis to detect the UE in genetically modified organisms in many previous studies. We here reported a case-study on the effects of introducing herbicides and insect resistance (HIR) gene cassette on molecular profiling (transcripts and metabolites) in a popular maize variety Zhengdan958 (ZD958) in China. We found that introducing HIR gene cassette bring a limited numbers of differential abundant genes (DAGs) or differential abundant metabolites (DAMs) between transgenic events and non-transgenic control. In contrast, averaged 10 times more DAGs and DAMs were observed when performed comparison under different growing environments in three different ecological regions of China than the numbers induced by gene effects. Major biological pathways relating to stress response or signaling transduction could explain somehow the effects of growing environments. We further compared two transgenic events mediated ZD958 (GM-ZD958) with either transgenic parent GM-Z58, and other genetic background nonGM-Z58, nonGM-ZD958, and Chang7-2. We found that the numbers of DAGs and DAMs between GM-ZD958 and its one parent maize variety, Z58 or GM-Z58 is equivalent, but not Chang7-2. These findings suggest that greater effects due to different genetic background on altered molecular profiling than gene modification itself. This study provides a case evidence indicating marginal effects of gene pleiotropic effects, and environmental effects should be emphasized.

Indexed as

AnimalsDisease ResistanceGene Expression Regulation, PlantGenetic EngineeringHerbicide ResistanceHerbicidesInsectaMetabolomicsPlant DiseasesPlants, Genetically ModifiedTranscriptomeZea maysHerbicides

Identifiers

PMID33479482
PMCPMC7820507

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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.