Evidence map›Paper›PMID 40119556›Full record

ReviewThe New phytologist2025

New insights in metabolism modelling to decipher plant-microbe interactions.

Clara Blonde, Amélie Caddeo, William Nasser, Sylvie Reverchon, Rémi Peyraud, Feth El Zahar Haichar

Abstract readReview
In one paragraph

Review in The New phytologist, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

6 authors.

Clara BlondeINSA Lyon, CNRS, Université Claude Bernard Lyon 1, UMR5240 Microbiologie, Adaptation, Pathogénie, Université Lyon, 10 rue Raphaël Dubois, 69622, Villeurbanne, France.ORCID https://orcid.org/0009-0001-1554-1753
Amélie CaddeoInstitut Agro, INRAE, IRHS, SFR QUASAV, Univ Angers, F-49000, Angers, France.ORCID https://orcid.org/0009-0001-0557-5896
William NasserINSA Lyon, CNRS, Université Claude Bernard Lyon 1, UMR5240 Microbiologie, Adaptation, Pathogénie, Université Lyon, 10 rue Raphaël Dubois, 69622, Villeurbanne, France.ORCID https://orcid.org/0000-0001-9848-3597
Sylvie ReverchonINSA Lyon, CNRS, Université Claude Bernard Lyon 1, UMR5240 Microbiologie, Adaptation, Pathogénie, Université Lyon, 10 rue Raphaël Dubois, 69622, Villeurbanne, France.ORCID https://orcid.org/0000-0002-0478-3474
Rémi PeyraudiMEAN, 135 Avenue de Rangueil, 31077, Toulouse, France.ORCID https://orcid.org/0000-0002-7580-042X
Feth El Zahar HaicharINSA Lyon, CNRS, Université Claude Bernard Lyon 1, UMR5240 Microbiologie, Adaptation, Pathogénie, Université Lyon, 10 rue Raphaël Dubois, 69622, Villeurbanne, France.ORCID https://orcid.org/0000-0003-3687-0529

Funding

CNRS through the MITI interdisciplinary programs through its exploratory research program
6 · The paper itself

Abstract

Plant disease outbreaks, exacerbated by climate change, threaten food security and environmental sustainability world-wide. Plants interact with a wide range of microorganisms. The quest for resilient agriculture requires a deep insight into the molecular and ecological interplays between plants and their associated microbial communities. Omics methods, by profiling entire molecular sets, have shed light on these complex interactions. Nonetheless, deciphering the relationships among thousands of molecular components remains a formidable challenge, and studies that integrate these components into cohesive biological networks involving plants and associated microbes are still limited. Systems biology has the potential to predict the effects of biotic and abiotic perturbations on these networks. It is therefore a promising framework for addressing the full complexity of plant-microbiome interactions.

Indexed as

Models, BiologicalPlantsHost-Pathogen InteractionsMicrobiotaPlant DiseasesSystems Biologymetabolismmodellingnetworkplant–microbe interactionsystem biology

Identifiers

PMID40119556
PMCPMC12018784

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.