Revealing microbial consortia that interfere with grapevine downy mildew through microbiome epidemiology

通过微生物组流行病学揭示干扰葡萄霜霉病的微生物群落

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作者:Paola Fournier ,Lucile Pellan ,Aarti Jaswa ,Marine C Cambon ,Alexandre Chataigner ,Olivier Bonnard ,Marc Raynal ,Christian Debord ,Charlotte Poeydebat ,Simon Labarthe ,François Delmotte ,Patrice This ,Corinne Vacher

Abstract

Background: Plant and soil microbiomes can interfere with pathogen life cycles, but their influence on disease epidemiology remains understudied. Here, we analyzed the relationships between plant and soil microbiomes and long-term epidemiological records of grapevine downy mildew, a major disease caused by the oomycete Plasmopara viticola. Results: We found that certain microbial taxa were consistently more abundant in plots with lower disease incidence and severity and that the microbial community composition could predict disease incidence and severity. Microbial diversity was not strongly linked to epidemiological records, suggesting that disease incidence and severity is more related to the abundance of specific microbial taxa. These key taxa were identified in the topsoil, where the pathogen's oospores overwinter, and in the phyllosphere, where zoospores infect leaves. By contrast, the leaf endosphere, where the pathogen's mycelium develops, contained few taxa of interest. Surprisingly, the soil microbiota was a better predictor of disease incidence and severity than the leaf microbiota, suggesting that the soil microbiome could be a key indicator of the dynamics of this primarily aerial disease. Conclusion: Our study integrates long-term epidemiological data with microbiome profiles of healthy plants to reveal fungi and bacteria relevant for the biocontrol of grapevine downy mildew. The resulting database provides a valuable resource for designing microbial consortia with potential biocontrol activity. The framework can be applied to other crop systems to guide the development of biocontrol strategies and reduce pesticide use in agriculture. Keywords: Plasmopara viticola; Vitis vinifera; Differential abundance analysis; Disease biocontrol; Endosphere; Metabarcoding; Microbial ecology; Oomycete; Phyllosphere; Soil.

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