Evidence map›Paper›PMID 42159781›Full record

ArticleMolecular genetics and genomics : MGG2026

Integrated transcriptomic and metabolomic investigation reveals that graphene oxide reduces nicosulfuron detriment in sweet corn.

Yanli Wang, Xuemei Zhong, Meng Zhang, Jian Wang

Abstract read
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In one paragraph

Article in Molecular genetics and genomics : MGG, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yanli Wang *College of Agronomy and Biotechnology, Hebei Key Laboratory of Crop Stress Biology, Hebei Normal University of Science and Technology, Qinhuangdao, China.
Xuemei Zhong *College of Agronomy, Shenyang Agricultural University, Shenyang, China.
Meng ZhangCollege of Agronomy and Biotechnology, Hebei Key Laboratory of Crop Stress Biology, Hebei Normal University of Science and Technology, Qinhuangdao, China.
Jian WangCollege of Agronomy and Biotechnology, Hebei Key Laboratory of Crop Stress Biology, Hebei Normal University of Science and Technology, Qinhuangdao, China. wangjian1989@live.cn.ORCID http://orcid.org/0000-0002-2276-3979

Funding

Science Research Project of Hebei Education Department BJK2024044the Basic Scientific Research Special Fund of Hebei Normal University of Science and Technology in Hebei Province 2024JK001
6 · The paper itself

Abstract

Nicosulfuron (NIF) stress poses a significant constraint on sweet corn production. Graphene oxide (GO), as an environmentally friendly nanomaterial, serves as a safe agent to enhance crop stress resistance. However, the molecular mechanisms of GO-mediated sweet corn to tolerate NIF remain largely unexplored. This study aimed to investigate the regulatory effects of GO on sweet corn's response to NIF through physiological assessments, comparative transcriptomic analysis, and metabolomic profiling. The findings indicate that the application of GO mitigates the detrimental effects of NIF stress on sweet corn seedlings, as evidenced by enhanced growth metrics, improved chlorophyll fluorescence parameters, and photosynthetic indicators. GO predominantly influences genes and metabolites related to the synthesis of flavonoids, phenylpropanoids, and calcium (Ca

Indexed as

GraphitePyridinesSulfonylurea CompoundsTranscriptomeZea maysGene Expression ProfilingGene Expression Regulation, PlantMetabolomicsPhotosynthesisPlant ProteinsSeedlingsStress, Physiologicalgraphene oxideGraphitenicosulfuronPlant ProteinsPyridinesSulfonylurea CompoundsGraphene oxideNicosulfuronPhenylpropanoid biosynthesisSweet cornTranscriptome

Identifiers

What OpenQuestion holds

Textmetadata
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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.