Evidence map›Paper›PMID 36355161›Full record

ArticleMetabolites2022

Proteomic and Metabolomic Evaluation of Insect- and Herbicide-Resistant Maize Seeds.

Weixiao Liu, Lixia Meng, Weiling Zhao, Zhanchao Wang, Chaohua Miao, Yusong Wan, Wujun Jin

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. 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
0.2field-weighted citation impact, top 51% 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, 3 citations in OpenAlex.

  1. Review
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 at 2 institutions in 1 country.

Weixiao LiuBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Lixia MengBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Weiling ZhaoBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Zhanchao WangBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Chaohua MiaoBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Yusong WanBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Wujun JinBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Chinese Academy of Agricultural Sciences · CNBiotechnology Research Institute · CN

Funding

the 2020 Research Program of Sanya Yazhou Bay Science and Technology City, SKJC-2020-02-005
6 · The paper itself

Abstract

Label-free quantitative proteomic (LFQ) and widely targeted metabolomic analyses were applied in the safety evaluation of three genetically modified (GM) maize varieties, BBL, BFL-1, and BFL-2, in addition to their corresponding non-GM parent maize. A total of 76, 40, and 25 differentially expressed proteins (DEPs) were screened out in BBL, BFL-1, and BFL-2, respectively, and their abundance compared was with that in their non-GM parents. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed that most of the DEPs participate in biosynthesis of secondary metabolites, biosynthesis of amino acids, and metabolic pathways. Metabolomic analyses revealed 145, 178, and 88 differentially accumulated metabolites (DAMs) in the BBL/ZH58, BFL-1/ZH58, and BFL-2/ZH58×CH72 comparisons, respectively. KEGG pathway enrichment analysis showed that most of the DAMs are involved in biosynthesis of amino acids, and in arginine and proline metabolism. Three co-DEPs and 11 co-DAMs were identified in the seeds of these GM maize lines. The proteomic profiling of seeds showed that the GM maize varieties were not dramatically different from their non-GM control. Similarly, the metabolomic profiling of seeds showed no dramatic changes in the GM/non-GM maize varieties compared with the GM/GM and non-GM/non-GM maize varieties. The genetic background of the transgenic maize was found to have some influence on its proteomic and metabolomic profiles.

Indexed as

DAMDEPinsect- and herbicide-resistant maize seedsLFQsafety evaluationwidely targeted metabolomics

Identifiers

PMID36355161
PMCPMC9696663
OpenAlexW4308531420

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.