Evidence map›Paper›PMID 40375625›Full record

ArticleEnvironmental microbiology2025

Plant Genetic Bases Associated With Microbiota Descriptors Shed Light Into a Novel Holobiont Generalist Genes Theory.

Loeiz Maillet, Manon Norest, Adam Kautsky, Anna Geraci, Elisabetta Oddo, Angelo Troia, Anne-Yvonne Guillerm-Erckelboudt, Cyril Falentin, Mathieu Rousseau-Gueutin, Anne-Marie Chèvre and 7 more

Abstract read
In one paragraph

Article in Environmental microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. The Paraphyletic Origins of Genetic Resistance to Cabbage Stem Flea Beetle inPlant-environment interactions (Hoboken, N.J.) · 2026
    Article
  3. Review
  4. Article
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

17 authors.

Loeiz MailletIGEPP, INRAE, Institut Agro, Université de Rennes, Le Rheu, France.
Manon NorestIGEPP, INRAE, Institut Agro, Université de Rennes, Le Rheu, France.
Adam KautskyIGEPP, INRAE, Institut Agro, Université de Rennes, Le Rheu, France.
Anna GeraciDepartment of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), Università Degli Studi di Palermo, Palermo, Italy.
Elisabetta OddoDepartment of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), Università Degli Studi di Palermo, Palermo, Italy.
Angelo TroiaDepartment of Biological, Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), Università Degli Studi di Palermo, Palermo, Italy.
Anne-Yvonne Guillerm-ErckelboudtIGEPP, INRAE, Institut Agro, Université de Rennes, Le Rheu, France.
Cyril FalentinIGEPP, INRAE, Institut Agro, Université de Rennes, Le Rheu, France.
Mathieu Rousseau-GueutinIGEPP, INRAE, Institut Agro, Université de Rennes, Le Rheu, France.
Anne-Marie ChèvreIGEPP, INRAE, Institut Agro, Université de Rennes, Le Rheu, France.
Benjamin IstaceGénomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France.
Corinne CruaudGenoscope, Institut de Biologie François-Jacob, Commissariat à L'energie Atomique (CEA), Université Paris-Saclay, Evry, France.
Caroline BelserGénomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France.
Jean-Marc AuryGénomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France.
Rosario SchicchiDepartment of Agricultural, Food and Forest Sciences (SAAF), Università Degli Studi di Palermo, Palermo, Italy.
Léa FrachonDepartment of Systematic and Evolutionary Botany, University of Zürich, Zürich, Switzerland.
Claudia BartoliIGEPP, INRAE, Institut Agro, Université de Rennes, Le Rheu, France.ORCID https://orcid.org/0000-0003-1461-2983

Funding

Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA)" and "France Génomique (ANR-10-INBS-09-08)"European Research Council 101039541Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Ecosymb
6 · The paper itself

Abstract

Plants as animals are associated with a cortege of microbes influencing their health, fitness and evolution. Scientists refer to all living organisms as holobionts, complex genetic units that coevolve simultaneously. This is what has been recently proposed as the hologenome theory. This exciting theory has important implications on animal and plant health; however, it still needs consistent proof to be validated. Indeed, holobionts are still poorly studied in their natural habitats where coevolution processes occur. Compared to animals, wild plant populations are an excellent model to explore the hologenome theory. These sessile holobionts have coevolved with their microbiota for decades, and natural selection and adaptive processes acting on wild plants are likely to regulate the plant-microbe interactions. Here, we conducted a microbiota survey, plant genome sequencing and genome-environmental analysis (GEA) of 26 natural populations of the plant species Brassica rapa. We collected plants over two seasons in Italy and France and analysed the root and rhizosphere microbiota. When conducting GEA, we evidenced neat peaks of association correlating with both fungal and bacterial microbiota. Surprisingly, we found 13 common genes between fungal and bacterial diversity descriptors that we referred to under the name of holobiont generalist genes (HGGs).

Indexed as

BacteriaBrassica rapaFungiMicrobiotaFranceGenome, PlantItalyPlant RootsRhizosphereSymbiosisBrassica rapaevolutionary ecologygenome–environmental analysisholobiontmicrobiota

Identifiers

PMID40375625
PMCPMC12082060

What OpenQuestion holds

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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.