Evidence map›Paper›PMID 35283891›Full record

ArticleFrontiers in plant science2022

RNA Interference-Based Genetic Engineering Maize Resistant to

Chunmeng Huang, Zhi Wang, Pengyu Zhu, Chenguang Wang, Chaonan Wang, Wenjie Xu, Zhihong Li, Wei Fu, Shuifang Zhu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. 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
0.3field-weighted citation impact, top 46% 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, 4 citations in OpenAlex.

  1. Review
  2. Genomic and genetic advances of oiltea-camellia (Frontiers in plant science · 2023
    Review
  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

9 authors at 2 institutions in 1 country.

Chunmeng HuangCollege of Plant Protection, China Agricultural University, Beijing, China.
Zhi WangChinese Academy of Inspection and Quarantine, Beijing, China.
Pengyu ZhuChinese Academy of Inspection and Quarantine, Beijing, China.
Chenguang WangChinese Academy of Inspection and Quarantine, Beijing, China.
Chaonan WangCollege of Plant Protection, China Agricultural University, Beijing, China.
Wenjie XuChinese Academy of Inspection and Quarantine, Beijing, China.
Zhihong LiCollege of Plant Protection, China Agricultural University, Beijing, China.
Wei FuChinese Academy of Inspection and Quarantine, Beijing, China.
Shuifang ZhuChinese Academy of Inspection and Quarantine, Beijing, China.
Chinese Academy of Inspection and Quarantine · CNChina Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of omics techniques to analyze the differences between genetic engineering organisms and their parents can identify unintended effects and explore whether such unintended effects will have negative consequences. In order to evaluate whether genetic engineering will cause changes in crops beyond the changes introduced by conventional plant breeding, we compared the extent of transcriptome and metabolome modification in the leaves of three lines developed by RNA interference (RNAi)-based genetic engineering and three lines developed by conventional breeding. The results showed that both types of plant breeding methods can manifest changes at the short interfering RNA (siRNA), transcriptomic, and metabolic levels. Relative expression analysis of potential off-target gene revealed that there was no broad gene decline in the three RNAi-based genetic engineering lines. We found that the number of DEGs and DAMs between RNAi-based genetic engineering lines and the parental line was less than that between conventional breeding lines. These unique DEGs and DAMs between RNAi-based genetic engineering lines and the parental lines were not enriched in detrimental metabolic pathways. The results suggest that RNAi-based genetic engineering do not cause unintended effects beyond those found in conventional breeding in maize.

Indexed as

biosafety assessmentinsect-resistantmetabolomeRNAi-based genetic engineering maizetranscriptomeunintended effect

Identifiers

PMID35283891
PMCPMC8908210
OpenAlexW4214560238

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.