Evidence map›Paper›PMID 32869121›Full record

ArticlePlant cell reports2020

Negligible transcriptome and metabolome alterations in RNAi insecticidal maize against Monolepta hieroglyphica.

Xiaolei Zhang, Ruiying Zhang, Liang Li, Yang Yang, Yijia Ding, Haitao Guan, Xiaoqin Wang, Aihong Zhang, Hongtao Wen

Open access · hybridAbstract read
In one paragraph

Article in Plant cell reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. OMICS in Fodder Crops: Applications, Challenges, and Prospects.Current issues in molecular biology · 2022
    Review
  8. Article
  9. 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 3 institutions in 1 country.

Xiaolei ZhangQuality and Safety Institute of Agricultural Products, Heilongjiang Academy of Agricultural Sciences, Harbin, 150086, China.
Ruiying ZhangQuality and Safety Institute of Agricultural Products, Heilongjiang Academy of Agricultural Sciences, Harbin, 150086, China.
Liang LiBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Yang YangQuality and Safety Institute of Agricultural Products, Heilongjiang Academy of Agricultural Sciences, Harbin, 150086, China.
Yijia DingQuality and Safety Institute of Agricultural Products, Heilongjiang Academy of Agricultural Sciences, Harbin, 150086, China.
Haitao GuanQuality and Safety Institute of Agricultural Products, Heilongjiang Academy of Agricultural Sciences, Harbin, 150086, China.
Xiaoqin WangQuality and Safety Institute of Agricultural Products, Heilongjiang Academy of Agricultural Sciences, Harbin, 150086, China.
Aihong ZhangBeijing DaBeiNong Biotechnology Co., Ltd., Beijing, 100080, China.
Hongtao WenQuality and Safety Institute of Agricultural Products, Heilongjiang Academy of Agricultural Sciences, Harbin, 150086, China. wen0891@163.com.ORCID http://orcid.org/0000-0001-7374-3073
Beijing VDJBio (China) · CNChinese Academy of Agricultural Sciences · CNHeilongjiang Provincial Academy of Agricultural Sciences · CN

Funding

National Major Science and Technology Projects of China 2018ZX08011-04B
6 · The paper itself

Abstract

key messageRNAi-based genetically modified maize resistant to Monolepta hieroglyphica (Motschulsky) was demonstrated with negligible transcriptome and metabolome alterations compared to its unmodified equivalent. As one of the most prevalent insect pests afflicting various crops, Monolepta hieroglyphica (Motschulsky) causes severe loss of agricultural and economic productivity for many years in China. In an effort to reduce damages, in this study, an RNA interference (RNAi)-based genetically modified (GM) maize was developed. It was engineered to produce MhSnf7 double-stranded RNAs (dsRNAs), which can suppress the Snf7 gene expression and then lead M. hieroglyphica to death. Field trail analysis confirmed the robustly insecticidal ability of the MhSnf7 GM maize to resist damages by M. hieroglyphica. RNA sequencing analysis identified that only one gene was differentially expressed in the MhSnf7 GM maize compared to non-GM maize, indicating that the transcriptome in MhSnf7 GM maize is principally unaffected by the introduction of the MhSnf7 dsRNA expression vector. Likewise, metabolomics analysis identified that only 8 out of 5787 metabolites were significantly changed. Hence, the integration of transcriptomics and metabolomics demonstrates that there are negligible differences between MhSnf7 GM maize and its unmodified equivalent. This study not only presents a comprehensive assessment of cellular alteration in terms of gene transcription and metabolite abundance in RNAi-based GM maize, but also could be used as a reference for evaluating the unintended effect of GM crops.

Indexed as

ColeopteraMetabolomeTranscriptomeAnimalsGene Expression ProfilingGenes, InsectLarvaPlant LeavesPlants, Genetically ModifiedRNA InterferenceZea maysMetabolomeMonolepta hieroglyphica (motschulsky)RNAi insecticidal maizeTranscriptomeUnintended effect

Identifiers

PMID32869121
PMCPMC7554010
OpenAlexW3082920345

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.