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

• Published in: PLoS biology 2023-09, Vol.21 (9), p.e3002287
• Main Authors: Rémi Pélissier, Elsa Ballini, Coline Temple, Aurélie Ducasse, Michel Colombo, Julien Frouin, Xiaoping Qin, Huichuan Huang, David Jacques, Fort Florian, Fréville Hélène, Violle Cyrille, Jean-Benoit Morel
• Format: Article
• Language: English
• ISSN: 1544-9173; 1545-7885
• DOI: 10.1371/journal.pbio.3002287

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.