title: The vineyard yeast microbiome, a mixed model microbial map.
abstract: Vineyards harbour a wide variety of microorganisms that play a pivotal role in pre- and post-harvest grape quality and will contribute significantly to the final aromatic properties of wine. The aim of the current study was to investigate the spatial distribution of microbial communities within and between individual vineyard management units. For the first time in such a study, we applied the Theory of Sampling (TOS) to sample gapes from adjacent and well established commercial vineyards within the same terroir unit and from several sampling points within each individual vineyard. Cultivation-based and molecular data sets were generated to capture the spatial heterogeneity in microbial populations within and between vineyards and analysed with novel mixed-model networks, which combine sample correlations and microbial community distribution probabilities. The data demonstrate that farming systems have a significant impact on fungal diversity but more importantly that there is significant species heterogeneity between samples in the same vineyard. Cultivation-based methods confirmed that while the same oxidative yeast species dominated in all vineyards, the least treated vineyard displayed significantly higher species richness, including many yeasts with biocontrol potential. The cultivatable yeast population was not fully representative of the more complex populations seen with molecular methods, and only the molecular data allowed discrimination amongst farming practices with multivariate and network analysis methods. Importantly, yeast species distribution is subject to significant intra-vineyard spatial fluctuations and the frequently reported heterogeneity of tank samples of grapes harvested from single vineyards at the same stage of ripeness might therefore, at least in part, be due to the differing microbiota in different sections of the vineyard.
authors.affiliation: Institute for Wine Biotechnology, Stellenbosch University, Stellenbosch, Western Cape, South Africa. setati@sun.ac.za
authors.forename: Mathabatha Evodia
authors.initials: ME
authors.lastname: Setati
authors.forename: Daniel
authors.initials: D
authors.lastname: Jacobson
authors.forename: Ursula-Claire
authors.initials: UC
authors.lastname: Andong
authors.forename: Florian Franz
authors.initials: FF
authors.lastname: Bauer
authors.forename: Florian
authors.initials: F
authors.lastname: Bauer
mesh_terms: D000383:Agriculture; D044822:Biodiversity; D004271:DNA, Fungal / Q000235:genetics; D054892:Metagenome; D008954:Models, Biological; D058889:Molecular Typing; D016533:Mycological Typing Techniques; D025341:Principal Component Analysis; D027843:Vitis / Q000382:microbiology*; D014920:Wine / Q000382:microbiology; D015003:Yeasts / Q000235:genetics / Q000302:isolation & purification* / Q000378:metabolism
chemical_list: D004271:DNA, Fungal