Evidence map›Paper›PMID 29386527›Full record

SynthesisScientific reports2018

Transcriptomic responses to biotic stresses in Malus x domestica: a meta-analysis study.

Bipin Balan, Francesco Paolo Marra, Tiziano Caruso, Federico Martinelli

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Meta-analysis ofFrontiers in plant science · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

4 authors at 1 institution in 1 country.

Bipin BalanDipartimento di Scienze Agrarie e Forestali, Università degli Studi di Palermo, Palermo, Italy.
Francesco Paolo MarraDipartimento di Scienze Agrarie e Forestali, Università degli Studi di Palermo, Palermo, Italy.ORCID http://orcid.org/0000-0003-1490-0619
Tiziano CarusoDipartimento di Scienze Agrarie e Forestali, Università degli Studi di Palermo, Palermo, Italy.
Federico MartinelliDipartimento di Scienze Agrarie e Forestali, Università degli Studi di Palermo, Palermo, Italy. federico.martinelli@unipa.it.
University of Palermo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA-Seq analysis is a strong tool to gain insight into the molecular responses to biotic stresses in plants. The objective of this work is to identify specific and common molecular responses between different transcriptomic data related to fungi, virus and bacteria attacks in Malus x domestica. We analyzed seven transcriptomic datasets in Malus x domestica divided in responses to fungal pathogens, virus (Apple Stem Grooving Virus) and bacteria (Erwinia amylovora). Data were dissected using an integrated approach of pathway- and gene- set enrichment analysis, Mapman visualization tool, gene ontology analysis and inferred protein-protein interaction network. Our meta-analysis revealed that the bacterial infection enhanced specifically genes involved in sugar alcohol metabolism. Brassinosteroids were upregulated by fungal pathogens while ethylene was highly affected by Erwinia amylovora. Gibberellins and jasmonates were strongly repressed by fungal and viral infections. The protein-protein interaction network highlighted the role of WRKYs in responses to the studied pathogens. In summary, our meta-analysis provides a better understanding of the Malus X domestica transcriptome responses to different biotic stress conditions; we anticipate that these insights will assist in the development of genetic resistance and acute therapeutic strategies. This work would be an example for next meta-analysis works aiming at identifying specific common molecular features linked with biotic stress responses in other specialty crops.

Indexed as

Crosses, GeneticArabidopsisGene Expression ProfilingGene Expression Regulation, PlantGene OntologyGenes, PlantInactivation, MetabolicKnowledge BasesMalusPlant Growth RegulatorsPlant ProteinsProtein Interaction MapsSecondary MetabolismStress, PhysiologicalTranscription FactorsTranscriptomePlant Growth RegulatorsPlant ProteinsTranscription Factors

Identifiers

PMID29386527
PMCPMC5792587
OpenAlexW2796051832

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.