Project description:In this work, we used a functional gene microarray approach (GeoChip) to assess the soil microbial community functional potential related to the different wine quality. In order to minimize the soil variability, this work was conducted at a “within-vineyard” scale, comparing two similar soils (BRO11 and BRO12) previously identified with respect to pedological and hydrological properties within a single vineyard in Central Tuscany and that yielded highly contrasting wine quality upon cultivation of the same Sangiovese cultivar
Project description:Soil qualities and rootstocks are among the main factors that have been acknowledged to influence grape development as well as fruit and wine composition. Despite the role of the soil and rootstock in establishing a successful vineyard in terms of grape quality, almost no molecular evidence linking soil and rootstock properties to the gene expression have been reported. The transcriptome variation in response to different soils and rootstocks was investigated through microarray technology. The cv. Pinot Noir was grown on different soils: sand, turf and vineyard soil. The plants were grafted on the contrasting 101-14 and 1103 Paulsen rootstocks. The modulation of genes expression in response to different soils and rootstocks was evaluated considering their potential impact on primary (carbohydrate) and secondary (phenylpropanoid) metabolisms. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Alessio Aprile. The equivalent experiment is VV41 at PLEXdb.]
2014-11-05 | GSE42315 | GEO
Project description:Vineyard microbiome from soil to wine
Project description:Genotype, climate, soil qualities, and rootstocks are among the main factors that influence grape development as well as fruit and wine composition. In this work, the rootstock/scion interactions were studied using transcriptomic and metabolic approaches on leaves of Gaglioppo variety, grafted onto thirteen different rootstocks growing in the same locations. The experiments were performed in a vineyard in the south of Italy, characterized by the Mediterranean climate with warm and dry summers. Whole leaf transcriptome of ‘Gaglioppo’ grafted on five selected rootstocks showed high variability in gene expression. In particular, significant modulation of transcripts linked to primary (e.g. carbohydrate and transport) and secondary metabolism (e.g. phenylpropanoids pathways and response to stress) was observed. Interestingly, genes involved in the priming defense responses (e.g stilbenes and defense genes) were strongly activated in some graft combinations. These results were further confirmed by the quantification of stilbene contents. According with these observations, the leaves of ‘Gaglioppo’ grafted on 1103 Paulsen showing the lowest levels of stilbene synthase transcripts and stilbene metabolites, reveal the greater sensitivity to downy mildew in in vitro assay. This study carrying out an extensive analysis of rootstock effects to scion leaves open a useful way to unravel this complex interaction
Project description:In a previous study, we identified extensive natural variation in the response to acute ethanol treatment in three yeast strains: a lab strain derived from the commonly used S288c (DBY8268), vineyard isolate M22, and oak soil strain YPS163. Many expression differences persisted across several modules of co-regulated genes, implicating trans-acting systemic differences in ethanol sensing and/or response. To understand the genetic basis for these expression differences, we performed eQTL mapping analysis of the response to acute ethanol stress in ~100 F2 strains from two crosses: DBY8268x M22 and DBY8268 x YPS163.
Project description:Vitis vinifera cultivar Corvina clone 48 berries were harvested from different vineyards, each located in one of the three most important wine production macro-areas of the Verona region: Bardolino, Valpolicella and Soave, on the basis of the site geographical coordinates. For each of the selected vineyards, specific environmental conditions (altitude and type of soil) and farming and agricultural practices used (training system, rows facing direction, planting layout, vineyard age and rootstock type) were recorded. Vineyards were selected in order to maximize differences in locations and in microenvironmental and farming conditions. Berries were harvested at three different developmental stages: véraison, mid-ripening and harvest; each sample was collected in three biological replicates, to cover the whole vineyard variability. The same sampling procedure had been repeated over three consecutive vintages (2006, 2007 and 2008).