Evidence map›Paper›PMID 40880541›Full record

ArticleMolecular ecology2025

Beet Chlorosis Virus Infection Mitigates Aphid-Induced Plant Defences and Improves Plant Acceptability to Aphid Vectors.

Thomas Armand, Sylvaine Boissinot, Alessandra Maia-Grondard, Philippe Hugueney, Véronique Brault, Quentin Chesnais

Abstract read
In one paragraph

Article in Molecular ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Thomas ArmandINRAE, Université de Strasbourg, SVQV, Colmar, France.ORCID 0000-0003-1845-8450
Sylvaine BoissinotINRAE, Université de Strasbourg, SVQV, Colmar, France.ORCID 0009-0005-6455-0516
Alessandra Maia-GrondardINRAE, Université de Strasbourg, SVQV, Colmar, France.ORCID 0000-0003-0218-5566
Philippe HugueneyINRAE, Université de Strasbourg, SVQV, Colmar, France.ORCID 0000-0002-1641-9274
Véronique BraultINRAE, Université de Strasbourg, SVQV, Colmar, France.ORCID 0000-0002-5460-3523
Quentin ChesnaisINRAE, Université de Strasbourg, SVQV, Colmar, France.ORCID 0000-0002-0481-2335

Funding

Ministère de l'Agriculture et de l'Alimentation CASDAR grant number C-2019-01Ministry of Agriculture
6 · The paper itself

Abstract

Plant viruses often alter host traits in ways that affect interactions with herbivores, potentially facilitating their own acquisition and transmission by insect vectors. However, little is known about the molecular mechanisms underlying this phenomenon. This is particularly true for agronomically important pathosystems, such as the viruses responsible for sugar beet yellowing. Among them is the beet chlorosis virus (BChV), whose effects on aphid vector behaviour and plant defence mechanisms have not been fully characterised. In this study, we demonstrate that BChV infection suppresses sugar beet defences induced by aphid pre-infestation, enhancing plant acceptability for aphids. Specifically, gene expression analyses revealed a downregulation of the aphid-induced ethylene pathway in infected plants, along with alterations in the salicylic acid pathway that may benefit aphids. Metabolic profiling highlighted reduced levels of phenolic acids, including cinnamic and coumaric acids, in virus-infected plants which likely contribute to increased plant acceptability by aphids. By integrating gene expression, metabolic profiling, and behavioural assays, our findings illustrate how BChV manipulates host-plant defences to potentially increase its transmission by aphids, underscoring the broad ecological and evolutionary significance of virus-mediated plant-vector interactions.

Indexed as

AphidsBeta vulgarisCrinivirusInsect VectorsPlant Defense Against HerbivoryPlant DiseasesAnimalsGene Expression Regulation, PlantSalicylic AcidSalicylic Acidhost parasite interactionsinsectsinvertebratesspecies interactions

Identifiers

PMID40880541
PMCPMC12530290

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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.