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Characterization of Grapevine Wood Microbiome Through a Metatranscriptomic Approach
Marcos Paolinelli1,2, Georgina Escoriaza3, Cecilia Cesari3
1Estación Experimental Agropecuaria de Mendoza, Instituto Nacional de Tecnología Agropecuaria (INTA), Luján de Cuyo, Mendoza, Argentina. paolinelli.marcos@inta.gob.ar.
Grapevine trunk diseases like hoja de malvón (HDM) impact grape production. This study analyzed the grapevine wood microbiome, finding lower microbial evenness in symptomatic plants, but HDM pathogens weren't definitive indicators.
Area of Science:
- Plant Pathology
- Microbiology
- Viticulture
Background:
- Grapevine trunk diseases cause significant yield loss and plant death in viticulture globally.
- Hoja de malvón (HDM) is a complex disease affecting Argentinian and Uruguayan grape production, with poorly understood fungal roles and microbial interactions.
Purpose of the Study:
- To characterize the grapevine wood microbiome composition using metatranscriptomics.
- To understand microbial interactions in relation to hoja de malvón (HDM) onset in Vitis vinifera cv. Malbec.
Main Methods:
- Metatranscriptomic analysis of grapevine wood from symptomatic and asymptomatic field-grown Vitis vinifera cv. Malbec.
- Analysis of microbiome composition, diversity (alpha diversity, rank-abundance curves), and interkingdom interactions via co-occurrence networks.
Main Results:
- The grapevine wood microbiome was primarily composed of Dothideomycetes and Actinobacteria.
- Symptomatic plants showed higher levels of Basidiomycota, specifically Arambarria destruens and Phellinus laevigatus, and reduced microbial evenness.
- Distinguishing symptomatic from asymptomatic plants based solely on HDM pathogen presence or abundance was not feasible.
Conclusions:
- Microbial evenness is reduced in Vitis vinifera plants exhibiting foliar symptoms of HDM.
- While specific fungi like Arambarria destruens and Phellinus laevigatus were more abundant in symptomatic plants, they were not definitive markers for HDM.
- The generated molecular data provides a foundation for developing targeted quantification methods for specific microbial taxa in grapevine health assessments.
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