Evidence map›Paper›PMID 25697288›Full record

ArticlePlanta2015

High-throughput sequencing reveals differential expression of miRNAs in tomato inoculated with Phytophthora infestans.

Yushi Luan, Jun Cui, Junmiao Zhai, Jie Li, Lu Han, Jun Meng

Abstract read
PubMed Publisher
In one paragraph

Article in Planta, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
12.4field-weighted citation impact, top 2% 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

40 citing papers in PubMed, 82 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Identification of Tomato microRNAs in Late Response toInternational journal of molecular sciences · 2024
    Article
  5. Differential expression of microRNAs in response toFrontiers in plant science · 2024
    Article
  6. Identification of nitric oxide mediated defense signaling and its microRNA mediated regulation duringPhysiology and molecular biology of plants : an international journal of functional plant biology · 2024
    Article
  7. Characterization of microRNAs and Target Genes inPlants (Basel, Switzerland) · 2023
    Article
  8. Identification of miRNAs Involving Potato-Plants (Basel, Switzerland) · 2023
    Article
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  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
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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

6 authors at 2 institutions in 1 country.

Yushi LuanSchool of Life Science and Biotechnology, Dalian University of Technology, Dalian, 116024, China.
Jun Cui
Junmiao Zhai
Jie Li
Lu Han
Jun Meng
Dalian University · CNDalian University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MAIN

conclusionThe characterization and compare expression profiling of the miRNA transcriptome lay a solid foundation for unraveling the complex miRNA-mediated regulatory network in tomato resistance mechanisms against LB. MicroRNAs (miRNAs) are a class of small endogenous non-coding RNAs with 20-24 nt. They have been identified in many plants with their diverse regulatory roles in biotic stresses. The knowledge, that miRNAs regulate late blight (LB), caused by Phytophthora infestans, is rather limited. In this study, we used miRNA-Seq to investigate the miRNA expression difference between the tomatoes treated with and without P. infestans. A total of 42,714,516 raw reads were generated from two small RNA libraries by high-throughput sequencing. Finally, 207 known miRNAs and 67 new miRNAs were obtained. The differential expression profile of miRNAs in tomato was further analyzed with twofold change (P value ≤0.01). A total of 70 miRNAs were manifested to change significantly in samples treated with P. infestans, including 50 down-regulated miRNAs and 20 up-regulated miRNAs. Moreover, a total of 73 target genes were acquired for 28 differentially expressed miRNAs by psRNATarget analysis. By enrichment pathway analysis of target genes, plant-pathogen interaction was the most highly relevant pathway which played an important role in disease defense. In addition, 30 miRNAs were selected for qRT-PCR to validate their expression patterns. The expression patterns for targets of miR6027, miR5300, miR476b, miR159a, miR164a and miRn13 were selectively examined, and the results showed that there was a negative correlation on the expression patterns between miRNAs and their targets. The targets have previously been reported to be related with plant immune and involved in plant-pathogen interaction pathway in this study, suggesting these miRNAs might act as regulators in process of tomato resistance against P. infestans. These discoveries will provide us useful information to explain tomato resistance mechanisms against LB.

Indexed as

Gene Expression ProfilingBase SequenceGene Expression Regulation, PlantGene LibraryGene OntologyGenes, PlantHigh-Throughput Nucleotide SequencingHost-Pathogen InteractionsMicroRNAsPhytophthora infestansPlant DiseasesReal-Time Polymerase Chain ReactionRNA, PlantSolanum lycopersicumMicroRNAsRNA, Plant

Identifiers

PMID25697288
OpenAlexW2034624645

What OpenQuestion holds

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Read underepoch 390

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.