Evidence map›Paper›PMID 28387986›Full record

ArticleMolecular plant pathology2018

The 50 distal amino acids of the 2A

Isabelle R Martin, Emmanuelle Vigne, François Berthold, Véronique Komar, Olivier Lemaire, Marc Fuchs, Corinne Schmitt-Keichinger

Open access · bronzeAbstract read
In one paragraph

Article in Molecular plant pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.6field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  9. Structural basis of nanobody recognition of grapevine fanleaf virus and of virus resistance loss.Proceedings of the National Academy of Sciences of the United States of America · 2020
    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

7 authors at 3 institutions in 2 countries.

Isabelle R MartinUniversité de Strasbourg, INRA, SVQV UMR-A 1131, Colmar, 68000, France.
Emmanuelle VigneUniversité de Strasbourg, INRA, SVQV UMR-A 1131, Colmar, 68000, France.
François BertholdUniversité de Strasbourg, CNRS, IBMP UPR 2357, Strasbourg, 67000, France.
Véronique KomarUniversité de Strasbourg, INRA, SVQV UMR-A 1131, Colmar, 68000, France.
Olivier LemaireUniversité de Strasbourg, INRA, SVQV UMR-A 1131, Colmar, 68000, France.
Marc FuchsDepartment of Plant Pathology and Plant-Microbe Biology, Cornell University, New York State Agricultural Experiment Station, Geneva, NY, 14456, USA.
Corinne Schmitt-KeichingerUniversité de Strasbourg, CNRS, IBMP UPR 2357, Strasbourg, 67000, France.
Grapevine Health and Wine Quality · FRCentre National de la Recherche Scientifique · FRCornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Avirulence factors are critical for the arm's race between a virus and its host in determining incompatible reactions. The response of plants to viruses from the genus Nepovirus in the family Secoviridae, including Grapevine fanleaf virus (GFLV), is well characterized, although the nature and characteristics of the viral avirulence factor remain elusive. By using infectious clones of GFLV strains F13 and GHu in a reverse genetics approach with wild-type, assortant and chimeric viruses, the determinant of necrotic lesions caused by GFLV-F13 on inoculated leaves of Nicotiana occidentalis was mapped to the RNA2-encoded protein 2A

Indexed as

Amino AcidsGenome, ViralNepovirusNicotianaPlant DiseasesViral ProteinsAmino AcidsViral Proteinsavirulence factordefencehypersensitive reactionNepovirusreverse geneticsSecoviridaesymptom determinant

Identifiers

PMID28387986
PMCPMC6637978
OpenAlexW2604310968

What OpenQuestion holds

Textmetadata
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.