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The genetic identity of neighboring plants in intraspecific mixtures modulates disease susceptibility of both wheat and rice

Pélissier Rémi, Ballini Elsa, Temple Coline, Ducasse Aurélie, Colombo Michel, Frouin Julien, Qin Xiaoping, Huang Huichuan, Jacques David, Fort Florian, Fréville Hélène, Violle Cyrille, Morel Jean-Benoit. 2023. The genetic identity of neighboring plants in intraspecific mixtures modulates disease susceptibility of both wheat and rice. PLoS Biology, 21 (9):e3002287, 13 p.

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Url - jeu de données - Entrepôt autre : https://doi.org/10.57745/RRA3HL

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Psychologie-éthologie-ergonomie

Résumé : Mixing crop cultivars has long been considered as a way to control epidemics at the field level and is experiencing a revival of interest in agriculture. Yet, the ability of mixing to control pests is highly variable and often unpredictable in the field. Beyond classical diversity effects such as dispersal barrier generated by genotypic diversity, several understudied processes are involved. Among them is the recently discovered neighbor-modulated susceptibility (NMS), which depicts the phenomenon that susceptibility in a given plant is affected by the presence of another healthy neighboring plant. Despite the putative tremendous importance of NMS for crop science, its occurrence and quantitative contribution to modulating susceptibility in cultivated species remains unknown. Here, in both rice and wheat inoculated in greenhouse conditions with foliar fungal pathogens considered as major threats, using more than 200 pairs of intraspecific genotype mixtures, we experimentally demonstrate the occurrence of NMS in 11% of the mixtures grown in experimental conditions that precluded any epidemics. Thus, the susceptibility of these 2 major crops results from indirect effects originating from neighboring plants. Quite remarkably, the levels of susceptibility modulated by plant–plant interactions can reach those conferred by intrinsic basal immunity. These findings open new avenues to develop more sustainable agricultural practices by engineering less susceptible crop mixtures thanks to emergent but now predictable properties of mixtures.

Mots-clés Agrovoc : génotype, contrôle de maladies, Oryza sativa, amélioration des plantes, culture en mélange, maladie des plantes, variation génétique, variété, phénotype, génétique des populations, pure stands [EN], maladie fongique, phytogénétique

Mots-clés géographiques Agrovoc : France

Mots-clés libres : DGE, Direct genetic effect, IGE, Indirect genetic effect, NMS, Neighbor-modulated susceptibility, RST, Relative susceptibility total

Classification Agris : H20 - Maladies des plantes
F30 - Génétique et amélioration des plantes
F08 - Systèmes et modes de culture

Champ stratégique Cirad : CTS 4 (2019-) - Santé des plantes, des animaux et des écosystèmes

Agences de financement européennes : European Research Council

Agences de financement hors UE : Agence Nationale de la Recherche, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, National Natural Science Foundation of China

Projets sur financement : (FRA) MUSE, (EU) Ecophysiological and biophysical constraints on domestication in crop plants

Auteurs et affiliations

  • Pélissier Rémi, Université de Montpellier (FRA)
  • Ballini Elsa, Montpellier SupAgro (FRA)
  • Temple Coline, INRAE (FRA)
  • Ducasse Aurélie, INRAE (FRA)
  • Colombo Michel, Université de Montpellier (FRA)
  • Frouin Julien, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0003-1591-0755
  • Qin Xiaoping, Yunnan Agricultural University (CHN)
  • Huang Huichuan, Yunnan Agricultural University (CHN)
  • Jacques David, Université de Montpellier (FRA)
  • Fort Florian, CEFE (FRA)
  • Fréville Hélène, INRAE (FRA)
  • Violle Cyrille, Université de Montpellier (FRA)
  • Morel Jean-Benoit, INRAE (FRA) - auteur correspondant

Source : Cirad-Agritrop (https://agritrop.cirad.fr/606545/)

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