Evidence map›Paper›PMID 24942572›Full record

ArticleJournal of virology2014

Interaction patterns between potato virus Y and eIF4E-mediated recessive resistance in the Solanaceae.

Benoît Moury, Bérenger Janzac, Youna Ruellan, Vincent Simon, Mekki Ben Khalifa, Hatem Fakhfakh, Frédéric Fabre, Alain Palloix

Open access · bronzeAbstract read
In one paragraph

Article in Journal of virology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.2field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 25 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Benoît MouryINRA, UR407, Pathologie Végétale, Domaine Saint Maurice, Montfavet, France moury@avignon.inra.fr.
Bérenger JanzacINRA, UR407, Pathologie Végétale, Domaine Saint Maurice, Montfavet, France INRA, UR1052, Génétique et Amélioration des Fruits et Légumes, Domaine Saint Maurice, Montfavet, France.
Youna RuellanINRA, UR407, Pathologie Végétale, Domaine Saint Maurice, Montfavet, France.
Vincent SimonINRA, UR407, Pathologie Végétale, Domaine Saint Maurice, Montfavet, France.
Mekki Ben KhalifaLaboratoire de Génétique Moléculaire Immunologie et Biotechnologie, Faculté des Sciences de Tunis, Campus Universitaire El-Manar, Tunisia Institut Supérieur de Biotechnologie de Béja, Béja, Tunisia.
Hatem FakhfakhLaboratoire de Génétique Moléculaire Immunologie et Biotechnologie, Faculté des Sciences de Tunis, Campus Universitaire El-Manar, Tunisia.
Frédéric FabreINRA, UR407, Pathologie Végétale, Domaine Saint Maurice, Montfavet, France.
Alain PalloixINRA, UR1052, Génétique et Amélioration des Fruits et Légumes, Domaine Saint Maurice, Montfavet, France.
Genetics and Improvement of Fruit and Vegetables · FRInstitut Supérieur de Biotechnologie de Sfax · TNTunis University · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledThe structural pattern of infectivity matrices, which contains infection data resulting from inoculations of a set of hosts by a set of parasites, is a key parameter for our understanding of biological interactions and their evolution. This pattern determines the evolution of parasite pathogenicity and host resistance, the spatiotemporal distribution of host and parasite genotypes, and the efficiency of disease control strategies. Two major patterns have been proposed for plant-virus genotype infectivity matrices. In the gene-for-gene model, infectivity matrices show a nested pattern, where the host ranges of specialist virus genotypes are subsets of the host ranges of less specialized viruses. In contrast, in the matching-allele (MA) model, each virus genotype is specialized to infect one (or a small set of) host genotype(s). The corresponding infectivity matrix shows a modular pattern where infection is frequent for plants and viruses belonging to the same module but rare for those belonging to different modules. We analyzed the structure of infectivity matrices between Potato virus Y (PVY) and plant genotypes in the family Solanaceae carrying different eukaryotic initiation factor 4E (eIF4E)-coding alleles conferring recessive resistance. Whereas this system corresponds mechanistically to an MA model, the expected modular pattern was rejected based on our experimental data. This was mostly because PVY mutations involved in adaptation to a particular plant genotype displayed frequent pleiotropic effects, conferring simultaneously an adaptation to additional plant genotypes with different eIF4E alleles. Such effects should be taken into account for the design of strategies of sustainable control of PVY through plant varietal mixtures or rotations. IMPORTANCE: The interaction pattern between host and virus genotypes has important consequences on their respective evolution and on issues regarding the application of disease control strategies. We found that the structure of the interaction between Potato virus Y (PVY) variants and host plants in the family Solanaceae departs significantly from the current model of interaction considered for these organisms because of frequent pleiotropic effects of virus mutations. These mutational effects allow the virus to expand rapidly its range of host plant genotypes, make it very difficult to predict the effects of mutations in PVY infectivity factors, and raise concerns about strategies of sustainable management of plant genetic resistance to viruses.

Indexed as

Host-Pathogen InteractionsHost SpecificityProtein BiosynthesisAdaptation, BiologicalEukaryotic Initiation Factor-4EMutationPotyvirusSolanaceaeEukaryotic Initiation Factor-4E

Identifiers

PMID24942572
PMCPMC4136351
OpenAlexW2096508928

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.