Evidence map›Paper›PMID 28165059›Full record

ArticleScientific reports2017

Combined analysis of mRNA and miRNA identifies dehydration and salinity responsive key molecular players in citrus roots.

Rangjin Xie, Jin Zhang, Yanyan Ma, Xiaoting Pan, Cuicui Dong, Shaoping Pang, Shaolan He, Lie Deng, Shilai Yi, Yongqiang Zheng and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
17.2field-weighted citation impact, top 1% 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

30 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Review
  3. Agronomic and Metabolic Responses ofInternational journal of molecular sciences · 2025
    Article
  4. Insights into the Epigenetic Basis of Plant Salt Tolerance.International journal of molecular sciences · 2024
    Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. MicroRNAs in Woody Plants.Frontiers in plant science · 2021
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. MicroRNA Sequencing RevealedInternational journal of molecular sciences · 2019
    Article
  20. 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

11 authors at 3 institutions in 1 country.

Rangjin XieCitrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, Chongqing, 400716, China.
Jin ZhangCitrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, Chongqing, 400716, China.
Yanyan MaCitrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, Chongqing, 400716, China.
Xiaoting PanCitrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, Chongqing, 400716, China.
Cuicui DongCitrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, Chongqing, 400716, China.
Shaoping PangCitrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, Chongqing, 400716, China.
Shaolan HeCitrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, Chongqing, 400716, China.
Lie DengCitrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, Chongqing, 400716, China.
Shilai YiCitrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, Chongqing, 400716, China.
Yongqiang ZhengCitrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, Chongqing, 400716, China.
Qiang LvCitrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, Chongqing, 400716, China.
Chinese Academy of Agricultural Sciences · CNCitrus Research Institute · CNSouthwest University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Citrus is one of the most economically important fruit crops around world. Drought and salinity stresses adversely affected its productivity and fruit quality. However, the genetic regulatory networks and signaling pathways involved in drought and salinity remain to be elucidated. With RNA-seq and sRNA-seq, an integrative analysis of miRNA and mRNA expression profiling and their regulatory networks were conducted using citrus roots subjected to dehydration and salt treatment. Differentially expressed (DE) mRNA and miRNA profiles were obtained according to fold change analysis and the relationships between miRNAs and target mRNAs were found to be coherent and incoherent in the regulatory networks. GO enrichment analysis revealed that some crucial biological processes related to signal transduction (e.g. 'MAPK cascade'), hormone-mediated signaling pathways (e.g. abscisic acid- activated signaling pathway'), reactive oxygen species (ROS) metabolic process (e.g. 'hydrogen peroxide catabolic process') and transcription factors (e.g., 'MYB, ZFP and bZIP') were involved in dehydration and/or salt treatment. The molecular players in response to dehydration and salt treatment were partially overlapping. Quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) analysis further confirmed the results from RNA-seq and sRNA-seq analysis. This study provides new insights into the molecular mechanisms how citrus roots respond to dehydration and salt treatment.

Indexed as

SalinityCitrusDehydrationDroughtsGene Expression Regulation, PlantMicroRNAsPlant RootsReverse Transcriptase Polymerase Chain ReactionRNA, MessengerRNA, PlantSignal TransductionStress, PhysiologicalMicroRNAsRNA, MessengerRNA, Plant

Identifiers

PMID28165059
PMCPMC5292693
OpenAlexW2587323670

What OpenQuestion holds

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LicenceCC BY
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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.