Evidence map›Paper›PMID 36833168›Full record

ArticleGenes2023

RNAseq-Based Working Model for Transcriptional Regulation of Crosstalk between Simultaneous Abiotic UV-B and Biotic Stresses in Plants.

Zheng Zhou, Alex Windhorst, Dirk Schenke, Daguang Cai

Open access · goldAbstract read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 1 country.

Zheng ZhouDepartment of Molecular Phytopathology and Biotechnology, Institute of Phytopathology, Christian-Albrechts-Universität zu Kiel, 24118 Kiel, Germany.ORCID 0000-0002-9614-5751
Alex WindhorstPlant Breeding Methodology, Georg-August-University Göttingen, 37073 Göttingen, Germany.
Dirk SchenkeDepartment of Molecular Phytopathology and Biotechnology, Institute of Phytopathology, Christian-Albrechts-Universität zu Kiel, 24118 Kiel, Germany.ORCID 0000-0002-2569-5369
Daguang CaiDepartment of Molecular Phytopathology and Biotechnology, Institute of Phytopathology, Christian-Albrechts-Universität zu Kiel, 24118 Kiel, Germany.ORCID 0000-0002-1816-6389
Christian-Albrechts-Universität zu Kiel · DEUniversity of Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants adjust their secondary metabolism by altering the expression of corresponding genes to cope with both abiotic and biotic stresses. In the case of UV-B radiation, plants produce protective flavonoids; however, this reaction is impeded during pattern-triggered immunity (PTI) induced by pathogens. Pathogen attack can be mimicked by the application of microbial associated molecular patterns (e.g., flg22) to study crosstalk between PTI and UV-B-induced signaling pathways. Switching from Arabidopsis cell cultures to in planta studies, we analyzed whole transcriptome changes to gain a deeper insight into crosstalk regulation. We performed a comparative transcriptomic analysis by RNAseq with four distinct mRNA libraries and identified 10778, 13620, and 11294 genes, which were differentially expressed after flg22, UV-B, and stress co-treatment, respectively. Focusing on genes being either co-regulated with the UV-B inducible marker gene chalcone synthase

Indexed as

ArabidopsisGene Expression Regulation, PlantGene Expression ProfilingHumansPlantsStress, Physiologicalflg22MBW complexPTItranscription factortranscriptomics

Identifiers

PMID36833168
PMCPMC9957429
OpenAlexW4316813553

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.