Evidence map›Paper›PMID 35637719›Full record

ArticlePeerJ2022

Heat stress response in Chinese cabbage (

Lei Zhang, Yun Dai, Lixin Yue, Guohu Chen, Lingyun Yuan, Shifan Zhang, Fei Li, Hui Zhang, Guoliang Li, Shidong Zhu and 4 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.2field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 23 citations in OpenAlex.

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  13. Integrated Analysis of the Transcriptome and Metabolome ofInternational journal of molecular sciences · 2023
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  14. CRISPR/Cas9-MediatedInternational journal of molecular sciences · 2023
    Article
  15. Article
  16. Mapping and Validation ofInternational journal of molecular sciences · 2022
    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

14 authors at 4 institutions in 1 country.

Lei Zhang *College of Horticulture, Vegetable Genetics and Breeding Laboratory, Anhui Agricultural University, Hefei, China.
Yun Dai *Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China.
Lixin YueInstitute of Vegetables, Shandong Academy of Agricultural Sciences, Jinan, China.
Guohu ChenCollege of Horticulture, Vegetable Genetics and Breeding Laboratory, Anhui Agricultural University, Hefei, China.
Lingyun YuanCollege of Horticulture, Vegetable Genetics and Breeding Laboratory, Anhui Agricultural University, Hefei, China.
Shifan ZhangInstitute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China.
Fei LiInstitute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China.
Hui ZhangInstitute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China.
Guoliang LiInstitute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China.
Shidong ZhuCollege of Horticulture, Vegetable Genetics and Breeding Laboratory, Anhui Agricultural University, Hefei, China.
Jinfeng HouCollege of Horticulture, Vegetable Genetics and Breeding Laboratory, Anhui Agricultural University, Hefei, China.
Xiaoyan TangCollege of Horticulture, Vegetable Genetics and Breeding Laboratory, Anhui Agricultural University, Hefei, China.
Shujiang ZhangInstitute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China.
Chenggang WangCollege of Horticulture, Vegetable Genetics and Breeding Laboratory, Anhui Agricultural University, Hefei, China.
Anhui Agricultural University · CNChinese Academy of Agricultural Sciences · CNInstitute of Vegetables and Flowers · CNShandong Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High temperatures have a serious impact on the quality and yield of cold-loving Chinese cabbage, which has evolved to have a unique set of stress mechanisms. To explore the relationship between these mechanisms and the heat-tolerance of Chinese cabbage, the physiological indicators of the heat-tolerant '268' line and heat-sensitive '334' line were measured. Under heat stress, the proline (Pro), soluble sugar (SS), and superoxide dismutase (SOD) indexes of the '268' line increased significantly. When additionally using transcriptome analysis, we found that the identified 3,360 DEGs were abundantly enriched in many metabolic pathways including 'plant hormone signal transduction', 'carbon metabolism', and 'glycolysis/gluconeogenesis'. Dynamic gene expression patterns showed that

Indexed as

BrassicaBrassica rapaGene Expression ProfilingHeat-Shock ResponseTranscriptomeChinese cabbageHeat stressPhysiologyROSTranscriptome

Identifiers

PMID35637719
PMCPMC9147330
OpenAlexW4281567697

What Socratic 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 Socratic graph.