Evidence map›Paper›PMID 26440078›Full record

ArticleJournal of genetics2015

Transcriptome analysis reveals dynamic changes in the gene expression of tobacco seedlings under low potassium stress.

Liming Lu, Yong Chen, Lin Lu, Yifei Lu, Liqin Li

Abstract read
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In one paragraph

Article in Journal of genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.1field-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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Plant Calcium Signaling in Response to Potassium Deficiency.International journal of molecular sciences · 2018
    Review
  9. Article
  10. 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 1 institution in 1 country.

Liming LuAgronomy College, Sichuan Agriculture University, Huimin Road 211#, Chengdu 611130, Sichuan Province, People's Republic of China. lilq88@126.com.
Yong Chen
Lin Lu
Yifei Lu
Liqin Li
Sichuan Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Potassium plays a key role in plant development and reproduction. In agricultural practice, potassium deficiency is common worldwide, and leads to crop growth inhibition and output reduction. In this study, we analysed the transcriptome of tobacco seedlings under low potassium stress. Tobacco seedlings with or without decreased potassium treatment were harvested after 0 (control), 6, 12, or 24 h and were submitted for microarray analysis. The results showed that up to 3790 genes were upregulated or downregulated more than 2-fold as a result of the decreased potassium treatment. Gene ontology analysis revealed significantly differentially expressed genes that were categorized as cation binding, transcription regulation, metabolic processes, transporter activity and enzyme regulation. Some potassium, nitrogen and phosphorus transporters; transcription factors; and plant signal molecules, such as CPKs were also significantly differentially expressed under potassium deficiency. Our results indicate that the expression profiles of a large number of genes involved in various plant physiological processes are significantly altered in response to potassium deficiency, which can result in physiological and morphological changes in tobacco plants.

Indexed as

Gene Expression ProfilingBiological TransportCalcium SignalingCluster AnalysisGene Expression Regulation, PlantGene OntologyGenes, PlantNicotianaPlant ProteinsPotassiumReproducibility of ResultsSeedlingsStress, PhysiologicalTranscription FactorsPlant ProteinsPotassiumTranscription Factors

Identifiers

PMID26440078
OpenAlexW1428345016

What OpenQuestion holds

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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.