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Identifying the Main Drivers in Microbial Diversity for Cabernet Sauvignon Cultivars from Europe to South Africa: Evidence for a Cultivar-Specific Microbial Fingerprint.

Jordi TronchoniMathabatha Evodia SetatiDaniela FracassettiFederica ValdetaraDavid MaghradzeRoberto FoschinoJosé Antonio CurielPilar MoralesRamon GonzalezIleana VigentiniFlorian Franz Bauer
Published in: Journal of fungi (Basel, Switzerland) (2022)
Microbial diversity in vineyards and in grapes has generated significant scientific interest. From a biotechnological perspective, vineyard and grape biodiversity has been shown to impact soil, vine, and grape health and to determine the fermentation microbiome and the final character of wine. Thus, an understanding of the drivers that are responsible for the differences in vineyard and grape microbiota is required. The impact of soil and climate, as well as of viticultural practices in geographically delimited areas, have been reported. However, the limited scale makes the identification of generally applicable drivers of microbial biodiversity and of specific microbial fingerprints challenging. The comparison and meta-analysis of different datasets is furthermore complicated by differences in sampling and in methodology. Here we present data from a wide-ranging coordinated approach, using standardized sampling and data generation and analysis, involving four countries with different climates and viticultural traditions. The data confirm the existence of a grape core microbial consortium, but also provide evidence for country-specific microbiota and suggest the existence of a cultivar-specific microbial fingerprint for Cabernet Sauvignon grape. This study puts in evidence new insight of the grape microbial community in two continents and the importance of both location and cultivar for the definition of the grape microbiome.
Keyphrases
  • microbial community
  • antibiotic resistance genes
  • healthcare
  • south africa
  • primary care
  • public health
  • big data
  • artificial intelligence
  • wastewater treatment
  • data analysis