Evidence map›Paper›PMID 37446023›Full record

ArticleInternational journal of molecular sciences2023

The Regulatory Network of Sweet Corn (

Zhuqing Wang, Yang Xiao, Hailong Chang, Shengren Sun, Jianqiang Wang, Qinggan Liang, Qingdan Wu, Jiantao Wu, Yuanxia Qin, Junlv Chen and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.2field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Zhuqing WangInstitude of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510640, China.ORCID 0000-0003-2897-3421
Yang XiaoCollege of Horticulture and Landscape Architecture, Southwest University, Chongqing 400715, China.
Hailong ChangInstitude of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510640, China.
Shengren SunInstitude of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510640, China.
Jianqiang WangInstitude of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510640, China.
Qinggan LiangInstitude of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510640, China.
Qingdan WuInstitude of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510640, China.
Jiantao WuInstitude of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510640, China.ORCID 0000-0003-0742-1636
Yuanxia QinInstitude of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510640, China.
Junlv ChenInstitude of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510640, China.
Gang WangInstitude of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510640, China.
Qinnan WangInstitude of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangzhou 510640, China.
Guangdong Academy of Sciences · CNSouthwest University · CN

Funding

Guangdong Academy of Sciences 2022GDASZH-2022010102
6 · The paper itself

Abstract

Heat stress is an increasingly significant abiotic stress factor affecting crop yield and quality. This study aims to uncover the regulatory mechanism of sweet corn response to heat stress by integrating transcriptome and metabolome analyses of seedlings exposed to normal (25 °C) or high temperature (42 °C). The transcriptome results revealed numerous pathways affected by heat stress, especially those related to phenylpropanoid processes and photosynthesis, with 102 and 107 differentially expressed genes (DEGs) identified, respectively, and mostly down-regulated in expression. The metabolome results showed that 12 or 24 h of heat stress significantly affected the abundance of metabolites, with 61 metabolites detected after 12 h and 111 after 24 h, of which 42 metabolites were detected at both time points, including various alkaloids and flavonoids. Scopoletin-7-o-glucoside (scopolin), 3-indolepropionic acid, acetryptine, 5,7-dihydroxy-3',4',5'-trimethoxyflavone, and 5,6,7,4'-tetramethoxyflavanone expression levels were mostly up-regulated. A regulatory network was built by analyzing the correlations between gene modules and metabolites, and four hub genes in sweet corn seedlings under heat stress were identified:

Indexed as

TranscriptomeZea maysGene Expression ProfilingGene Expression Regulation, PlantHeat-Shock ResponseMetabolomeSeedlingsheat stressmetabolitesmetabolomicssweet corntranscriptomics

Identifiers

PMID37446023
PMCPMC10341527
OpenAlexW4382790096

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.