Evidence map›Paper›PMID 36479518›Full record

ArticleFrontiers in plant science2022

Strive or thrive: Trends in

Gaëtan Maillot, Emmanuel Szadkowski, Anne Massire, Véronique Brunaud, Guillem Rigaill, Bernard Caromel, Joël Chadœuf, Alexandre Bachellez, Nasradin Touhami, Ingo Hein and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

13 authors at 6 institutions in 3 countries.

Gaëtan MaillotINRAE, GAFL, Montfavet, France.
Emmanuel SzadkowskiINRAE, GAFL, Montfavet, France.
Anne MassireINRAE, GAFL, Montfavet, France.
Véronique BrunaudUniversité Paris-Saclay, CNRS, INRAE, Université Evry, Institute of Plant Sciences Paris-Saclay (IPS2), Gif-sur-Yvette, France.
Guillem RigaillUniversité Paris-Saclay, CNRS, INRAE, Université Evry, Institute of Plant Sciences Paris-Saclay (IPS2), Gif-sur-Yvette, France.
Bernard CaromelINRAE, GAFL, Montfavet, France.
Joël ChadœufINRAE, GAFL, Montfavet, France.
Alexandre BachellezINRAE, GAFL, Montfavet, France.
Nasradin TouhamiINRAE, GAFL, Montfavet, France.
Ingo HeinDivision Plant Sciences at the JHI, School of Life Sciences, University of Dundee, Dundee, United Kingdom.
Kurt LamourINRAE, GAFL, Montfavet, France.
Sandrine BalzergueUniversité Paris-Saclay, CNRS, INRAE, Université Evry, Institute of Plant Sciences Paris-Saclay (IPS2), Gif-sur-Yvette, France.
Véronique LefebvreINRAE, GAFL, Montfavet, France.
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRGenetics and Improvement of Fruit and Vegetables · FRCentre National de la Recherche Scientifique · FRInstitut des Sciences des Plantes de Paris Saclay · FRUniversité Paris Cité · FRUniversity of Dundee · GB

Funding

Biotechnology and Biological Sciences Research Council BB/S015663/1
6 · The paper itself

Abstract

Partial resistance in plants generally exerts a low selective pressure on pathogens, and thus ensuring their durability in agrosystems. However, little is known about the effect of partial resistance on the molecular mechanisms of pathogenicity, a knowledge that could advance plant breeding for sustainable plant health. Here we investigate the gene expression of

Indexed as

Capsicum annuumpartial plant resistancepathogen adaptationPhytophthora capsiciRXLR effectortranscriptomics

Identifiers

PMID36479518
PMCPMC9721114
OpenAlexW4309740578

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.