Evidence map›Paper›PMID 39610111›Full record

ArticleThe New phytologist2025

Medicago truncatula genotype drives the plant nutritional strategy and its associated rhizosphere bacterial communities.

Anouk Zancarini, Christine Le Signor, Sébastien Terrat, Julie Aubert, Christophe Salon, Nathalie Munier-Jolain, Christophe Mougel

Abstract read
In one paragraph

Article 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 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. Review
  2. Article
  3. Impact ofPlants (Basel, Switzerland) · 2026
    Article
  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

7 authors.

Anouk ZancariniIGEPP, INRAE, Institut Agro, Univ Rennes, 35653, Le Rheu, France.ORCID 0000-0002-8209-5255
Christine Le SignorAgroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000, Dijon, France.ORCID 0000-0002-3204-3537
Sébastien TerratAgroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000, Dijon, France.ORCID 0000-0001-5209-6196
Julie AubertUniversité Paris-Saclay, AgroParisTech, INRAE, UMR MIA Paris-Saclay, 91120, Palaiseau, France.ORCID 0000-0001-5203-5748
Christophe SalonAgroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000, Dijon, France.ORCID 0000-0003-4731-3541
Nathalie Munier-JolainAgroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, F-21000, Dijon, France.ORCID 0009-0006-9068-3571
Christophe MougelIGEPP, INRAE, Institut Agro, Univ Rennes, 35653, Le Rheu, France.ORCID 0000-0001-8675-3115

Funding

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement 089201PPO24S00901Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement P10061Région Bourgogne
6 · The paper itself

Abstract

Harnessing the plant microbiome through plant genetics is of increasing interest to those seeking to improve plant nutrition and health. While genome-wide association studies (GWAS) have been conducted to identify plant genes driving the plant microbiome, more multidisciplinary studies are required to assess the relationships among plant genetics, plant microbiome and plant fitness. Using a metabarcoding approach, we characterized the rhizosphere bacterial communities of a core collection of 155 Medicago truncatula genotypes along with the plant phenotype and investigated the plant genetic effects through GWAS. The different genotypes within the M. truncatula core collection showed contrasting growth and nutritional strategies but few loci were associated with these ecophysiological traits. To go further, we described its associated rhizosphere bacterial communities, dominated by Proteobacteria, Actinobacteria and Bacteroidetes, and defined a core rhizosphere bacterial community. Next, the occurrences of bacterial candidates predicting plant ecophysiological traits of interest were identified using random forest analyses. Some of them were heritable and plant loci were identified, pinpointing genes related to response to hormone stimulus, systemic acquired resistance, response to stress, nutrient starvation or transport, and root development. Together, these results suggest that plant genetics can affect plant growth and nutritional strategies by harnessing keystone bacteria in a well-connected interaction network.

Indexed as

GenotypeMedicago truncatulaRhizosphereBacteriaGenome-Wide Association StudyMicrobiotaPhenotypebacterial communitiesecophysiologygenome‐wide association studies (GWAS)Medicago truncatulaplant microbiomeplant nutritional strategyrandom forestrhizosphere

Identifiers

PMID39610111
PMCPMC11655437

What OpenQuestion 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 OpenQuestion graph.