Evidence map›Paper›PMID 22963580›Full record

ArticleBMC plant biology2012

Transcriptome analysis of rice root responses to potassium deficiency.

Tian-Li Ma, Wei-Hua Wu, Yi Wang

Abstract readComparative Study
In one paragraph

Article in BMC plant biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

76 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  7. Bioinformatic and Phenotypic Analysis ofPlants (Basel, Switzerland) · 2024
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  10. Genome-wide identification and expression analysis of the WNK kinase gene family in soybean.Molecular breeding : new strategies in plant improvement · 2024
    Article
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  15. Response ofPeerJ · 2023
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  19. Potassium (KAntioxidants (Basel, Switzerland) · 2022
    Article
  20. Article

16 more citing papers are in PubMed but not listed here.

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

3 authors.

Tian-Li MaState Key Laboratory of Plant Physiology and Biochemistry (SKLPPB), National Plant Gene Research Centre (Beijing), College of Biological Sciences, China Agricultural University, #2 West Yuan Ming Yuan Rd, Beijing 100193, China.
Wei-Hua Wu
Yi Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPotassium (K+) is an important nutrient ion in plant cells and plays crucial roles in many plant physiological and developmental processes. In the natural environment, K+ deficiency is a common abiotic stress that inhibits plant growth and reduces crop productivity. Several microarray studies have been conducted on genome-wide gene expression profiles of rice during its responses to various stresses. However, little is known about the transcriptional changes in rice genes under low-K+ conditions.

resultsWe analyzed the transcriptomic profiles of rice roots in response to low-K+ stress. The roots of rice seedlings with or without low-K+ treatment were harvested after 6 h, and 3 and 5 d, and used for microarray analysis. The microarray data showed that many genes (2,896) were up-regulated or down-regulated more than 1.2-fold during low-K+ treatment. GO analysis indicated that the genes showing transcriptional changes were mainly in the following categories: metabolic process, membrane, cation binding, kinase activity, transport, and so on. We conducted a comparative analysis of transcriptomic changes between Arabidopsis and rice under low-K+ stress. Generally, the genes showing changes in transcription in rice and Arabidopsis in response to low-K+ stress displayed similar GO distribution patterns. However, there were more genes related to stress responses and development in Arabidopsis than in rice. Many auxin-related genes responded to K+ deficiency in rice, whereas jasmonic acid-related enzymes may play more important roles in K+ nutrient signaling in Arabidopsis.

conclusionsAccording to the microarray data, fewer rice genes showed transcriptional changes in response to K+ deficiency than to phosphorus (P) or nitrogen (N) deficiency. Thus, transcriptional regulation is probably more important in responses to low-P and -N stress than to low-K+ stress. However, many genes in some categories (protein kinase and ion transporter families) were markedly up-regulated, suggesting that they play important roles during K+ deficiency. Comparative analysis of transcriptomic changes between Arabidopsis and rice showed that monocots and dicots share many similar mechanisms in response to K+ deficiency, despite some differences. Further research is required to clarify the differences in transcriptional regulation between monocots and dicots.

Indexed as

Gene Expression Regulation, PlantArabidopsisCation Transport ProteinsCyclopentanesGene Expression ProfilingGenes, PlantNitrogenOligonucleotide Array Sequence AnalysisOryzaOxylipinsPlant ProteinsPlant RootsPotassiumSignal TransductionStress, PhysiologicalSulfatesCation Transport ProteinsCyclopentanesjasmonic acidNitrogenOxylipinsPlant ProteinsPotassiumpotassium sulfateSulfates

Identifiers

PMID22963580
PMCPMC3489729

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Registered trials

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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.