Evidence map›Paper›PMID 42488619›Full record

ArticleFrontiers in physiology2026

Emergence of new resistances to

Myriam Siegwart, Sandrine Maugin, Léa Gingueneau, Samantha Besse

Abstract read
In one paragraph

Article in Frontiers in physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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

4 authors.

Myriam SiegwartINRAE, UR Plantes et Système de cultures Horticoles (PSH), Domaine Saint-Paul, Avignon, France.
Sandrine MauginINRAE, UR Plantes et Système de cultures Horticoles (PSH), Domaine Saint-Paul, Avignon, France.
Léa GingueneauINRAE, UR Plantes et Système de cultures Horticoles (PSH), Domaine Saint-Paul, Avignon, France.
Samantha BesseLaboratoires Goëmar - site Natural Plant Protection (NPP), UPL group, Pau, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Codling moth resistance to the granulosis virus CpGV, a widely adopted biological control agent in apple orchards poses a significant challenge for growers. Since the first report of Type I resistance to the CpGV-M in Europe (2005), a monitoring system was set up in France to track resistance evolution and anticipate emergence to new viral variants. Methods: This study presents the results of 12 years of bioassay based monitoring of resistance to three commercially available CpGV isolates (CpGV-M, CpGV-V15 and CpGV-R5), representative of the virus genetic diversity. Results: Among 193 wild codling moth populations tested, 62.3% carried a significant number of individuals resistant to CpGV-M, 37.0% to CpGV-V15 and 13.3% to CpGV-R5. Despite mitigation recommendations implemented since the first detection of type I resistance, the prevalence of CpGV-M resistance has not declined over time. Similarly, resistance to CpGV-M + CpGV-V15 (Type IV) and CpGV-M + CpGV-V15 + CpGV-R5 (Type V) seems to be fairly stable in frequency from one year to the next. Populations carrying type I resistance have been detected in all French production basins and in northern Italy, while type IV and V resistances are localized to northwestern France and northern Italy. Discussion: The emergence of these resistances types underscore the urgency of revising deployment strategies for new granulovirus-based products. Effective solutions will require elucidating the underlying resistance mechanisms to inform countermeasures.

Indexed as

apple treebaculovirusbioassayscartographycodling mothcross-resistance

Identifiers

PMID42488619
PMCPMC13388200

What Socratic holds

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Registered trials

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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 Socratic graph.