Evidence map›Paper›PMID 25216177›Full record

ArticlePloS one2014

Systemic suppression of the shoot metabolism upon rice root nematode infection.

Tina Kyndt, Simon Denil, Lander Bauters, Wim Van Criekinge, Tim De Meyer

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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.

Tina KyndtDepartment of Molecular Biotechnology, Ghent University, Ghent, Belgium.
Simon DenilDepartment of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium.
Lander BautersDepartment of Molecular Biotechnology, Ghent University, Ghent, Belgium.
Wim Van CriekingeDepartment of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium; NXTGNT, Ghent University Hospital, Ghent, Belgium.
Tim De MeyerDepartment of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium.
Ghent University · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hirschmanniella oryzae is the most common plant-parasitic nematode in flooded rice cultivation systems. These migratory animals penetrate the plant roots and feed on the root cells, creating large cavities, extensive root necrosis and rotting. The objective of this study was to investigate the systemic response of the rice plant upon root infection by this nematode. RNA sequencing was applied on the above-ground parts of the rice plants at 3 and 7 days post inoculation. The data revealed significant modifications in the primary metabolism of the plant shoot, with a general suppression of for instance chlorophyll biosynthesis, the brassinosteroid pathway, and amino acid production. In the secondary metabolism, we detected a repression of the isoprenoid and shikimate pathways. These molecular changes can have dramatic consequences for the growth and yield of the rice plants, and could potentially change their susceptibility to above-ground pathogens and pests.

Indexed as

AnimalsBase SequenceChlorophyllChlorophyll AGene Expression ProfilingGene Expression Regulation, PlantGenes, PlantOryzaPlant DiseasesPlant RootsPlant ShootsReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionRNA, MessengerTranscriptomeTylenchoideaChlorophyllChlorophyll Achlorophyll bRNA, Messenger

Identifiers

PMID25216177
PMCPMC4162577
OpenAlexW2083935353

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.