Evidence map›Paper›PMID 34769033›Full record

ArticleInternational journal of molecular sciences2021

Transcriptome Profiling of Cu Stressed Petunia Petals Reveals Candidate Genes Involved in Fe and Cu Crosstalk.

Jinglei Wu, Kai Li, Jian Li, Henk Schat, Yanbang Li

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. 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
0.9field-weighted citation impact, top 20% 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, 5 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

5 authors at 3 institutions in 2 countries.

Jinglei WuSchool of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.
Kai LiSchool of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.
Jian LiInstitute of Plant Protection, Shandong Academy of Agricultural Sciences, Jinan 250100, China.
Henk SchatLaboratory of Genetics, Wageningen University and Research, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands.
Yanbang LiSchool of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.
Shanghai Jiao Tong University · CNShandong Academy of Agricultural Sciences · CNWageningen University & Research · NL

Funding

Shanghai Jiao Tong University WF220515003Shanghai Pujiang program 19PJ1406700
6 · The paper itself

Abstract

Copper (Cu) is an essential element for most living plants, but it is toxic for plants when present in excess. To better understand the response mechanism under excess Cu in plants, especially in flowers, transcriptome sequencing on petunia buds and opened flowers under excess Cu was performed. Interestingly, the transcript level of FIT-independent Fe deficiency response genes was significantly affected in Cu stressed petals, probably regulated by basic-helix-loop-helix 121 (bHLH121), while no difference was found in Fe content. Notably, the expression level of bHLH121 was significantly down-regulated in petals under excess Cu. In addition, the expression level of genes related to photosystem II (PSII), photosystem I (PSI), cytochrome

Indexed as

ChlorophyllChlorophyll ACopperGene Expression ProfilingIronLightPetuniaPhotosynthesisPhotosystem II Protein ComplexPhotosystem I Protein ComplexPlant LeavesTranscription, GeneticChlorophyllChlorophyll Achlorophyll bCopperIronPhotosystem II Protein ComplexPhotosystem I Protein Complexexcess CuFe deficiency responsepetalpetuniaphotosynthesisRNA-seq

Identifiers

PMID34769033
PMCPMC8583722
OpenAlexW3210465818

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.