The restructuring of grape berry waxes by calcium changes the surface microbiota

The microbial terroir of Agiorgitiko cv. in the Nemea PDO zone

Agiorgitiko is a major Greek red winegrape variety of high economic importance cultivated almost exclusively in the Nemea PDO zone in Peloponnese, Greece. Here, we describe the microbiota and mycobiota of grape and soil samples collected over three consecutive harvest periods (September 2019, 2020 and 2021). The results revealed a common microbiome composition across the Nemea PDO zone vineyards, despite significant variations in the community structure regarding dominant bacterial and fungal taxa per sampling year, which were associated with weather factors. Grape samples of 2019 were enriched in several plant growth promoting bacteria, including Bradyrhizobium, Streptomyces, Massilia and Sphingomonas, selected by the particular weather conditions. On the other hand, the predominance of Botrytis in the same samples was observed, indicating again the impact of weather conditions on the microbial structure. Understanding these dynamics could improve management practices aimed at vine cultivation and wine quality.

From microbial communities to aroma profiles: A comparative study of spontaneous fermentation in merlot and cabernet sauvignon wines

This study aimed to compare the microbial community composition and aroma characteristics during the fermentation of different grape cultivars, Merlot and Cabernet Sauvignon. Principal Component Analysis (PCA), Partial Least Squares Discriminant Analysis (PLS-DA), and Odor Activity Value (OAV) screening identified 15 distinct active compounds. The sensory evaluation indicated that Merlot wine exhibited a more intense fruity aroma and received higher overall scores than Cabernet Sauvignon wine. High-throughput sequencing (HTS) results revealed that the microbial diversity in Merlot was higher than in Cabernet Sauvignon wine. Lachancea, Acremonium, Fructobacillus, and Lactiplantibacillus were unique to the Merlot wine, whereas Penicillium, Wickerhamomyces, Gluconobacter, and Klebsiella were exclusive to Cabernet Sauvignon wine. Saccharomyces and Tatumella were identified as the dominant microorganisms during the fermentation of both Merlot and Cabernet Sauvignon wines. Correlation analysis demonstrated a significant positive association among the dominant microbial communities, which played a crucial role in determining the formation of volatile compounds.

Subregional pedoclimatic conditions with contrasted UV-radiation shape host-microbiome and metabolome phenotypes in the grape berry

This study used integrative omics to address the response of key elements of the grapevine holobiont to contrasted pedoclimatic conditions found in distinct subregions of Douro Valley (Portugal). A metabolic OPLS-DA model predicted with 100 % accuracy the geographic origin of berries; higher UV radiation, higher temperature and lower precipitation stimulated the accumulation of phenolic acids, flavonols and malvidin conjugates, in detriment of amino acids, organic acids, flavan-3-ols, proanthocyanidins and non-malvidin anthocyanins. Metabarcoding showed a trade-off between bacteria and fungal diversity among subregions, with Pseudomonas, Lactobacillus, Aspergillus and Penicillium acting as intraregional microbial markers. The high phenotypic plasticity of berries and the role of microbes in this process are relevant upon current projections for increased UV radiation and temperature in Southern European viticulture, in a climate change scenario, with predicted impacts on regional wine quality and on the development of adaptation strategies for resilient viticulture.

Microbiome-based classification models for fresh produce safety and quality evaluation

Small sample sizes and loss of sequencing reads during the microbiome data preprocessing can limit the statistical power of differentiating fresh produce phenotypes and prevent the detection of important bacterial species associated with produce contamination or quality reduction. Here, we explored a machine learning-based k-mer hash analysis strategy to identify DNA signatures predictive of produce safety (PS) and produce quality (PQ) and compared it against the amplicon sequence variant (ASV) strategy that uses a typical denoising step and ASV-based taxonomy strategy. Random forest-based classifiers for PS and PQ using 7-mer hash data sets had significantly higher classification accuracy than those using the ASV data sets. We also demonstrated that the proposed combination of integrating multiple data sets and leveraging a 7-mer hash strategy leads to better classification performance for PS and PQ compared to the ASV method but presents lower PS classification accuracy compared to the feature-selected ASV-based taxonomy strategy. Due to the current limitation of generating taxonomy using the 7-mer hash strategy, the ASV-based taxonomy strategy with remarkably less computing time and memory usage is more efficient for PS and PQ classification and applicable for important taxa identification. Results generated from this study lay the foundation for future studies that wish and need to incorporate and/or compare different microbiome sequencing data sets for the application of machine learning in the area of microbial safety and quality of food.

IMPORTANCE

Identification of generalizable indicators for produce safety (PS) and produce quality (PQ) improves the detection of produce contamination and quality decline. However, effective sequencing read loss during microbiome data preprocessing and the limited sample size of individual studies restrain statistical power to identify important features contributing to differentiating PS and PQ phenotypes. We applied machine learning-based models using individual and integrated k-mer hash and amplicon sequence variant (ASV) data sets for PS and PQ classification and evaluated their classification performance and found that random forest (RF)-based models using integrated 7-mer hash data sets achieved significantly higher PS and PQ classification accuracy. Due to the limitation of taxonomic analysis for the 7-mer hash, we also developed RF-based models using feature-selected ASV-based taxonomic data sets, which performed better PS classification than those using the integrated 7-mer hash data set. The RF feature selection method identified 480 PS indicators and 263 PQ indicators with a positive contribution to the PS and PQ classification.

A comparison of microbiota isolation methods reveals habitat preferences for fermentative yeasts and plant pathogenic fungi in the grape berry

The methodologies for profiling the grape berry microbiota have exponentially evolved in the past 25 years. Recently, concerns arose regarding the homogeneity in the protocols of grape harvesting, sequencing and bioinformatic analyses, but the bias introduced by the microbiota isolation method is still unexplored. This study followed a simple approach of comparing two most used methods of microbiota collection from grape berries (washing vs crushing), hypothesizing a significant impact in the outcome of the microbiota profiles analyzed by NGS metabarcoding. Experiments conducted in fruits of three cultivars of the Douro wine region showed that only 52 % of OTUs were common to both surface and juice microbiota, suggesting specific microbial niches. Thirteen fungal genera were abundantly detected in the fruit surface, including Alternaria, Aureobasidium, Cladosporium, Didymella and Bipolaris. Fermentative yeasts including Meyerozyma and Saccharomyces cerevisiae were exclusively detected in the juice, together with several Penicillium species. Distinct habitat preferences of species within the genera Alternaria, Sporobolomyces and Rhodotorula were also revealed. The study showed that the microbiota isolation method is crucial in the detection of certain plant pathogenic/saprophytic fungi and yeasts with biotechnological and oenological interest, adding novelty to the globally accepted assumption that S. cerevisiae in musts originates primarily from the cellar.

Combined omics approaches expose metabolite-microbiota correlations in grape berries of three cultivars of Douro wine region

This study hypothesized the existence of cultivar-associated correlations between grape berry metabolites and its microbial residents, in Douro wine region. Integrated metabolomics with metabarcoding showed that the microbial biodiversity is not associated to berry sugar concentration, but closely connected to the profile of amino acids, flavonoids and wax compounds, which drove cultivar differentiation together with the prevalence of pathogenic fungi, yeasts and bacteria, mainly Dothideomycetes and Gammaproteobacteria. Over 7000 metabolite-microbiota correlations with ρ >|0.99| exposed a core of 15 metabolites linked to 11 microbial taxa. Serine, oxalate, cyanidin-3-O-glucoside, petunidin-3-O-glucoside, gallic acid, germanicol, sitosterol and erythrodiol correlated negatively to the abundance of most taxa, including Alternaria, Aureobasidium, Pseudopithomyces, Pseudomonas and Sphingomonas. In contrast, phenylalanine, asparagine, alanine, (epi)gallocatechin and procyanidin gallate mediated positive metabolite-OTU correlations. E. necator and A. carbonarius correlated negatively with stigmasterol and amyrin. Complex fungi-bacteria relationships ruled by Dothideomycetes and Alphaproteobacteria further suggest tight host-microbe interactions at the carposphere.

Biosynthesis of Chlorophyll and Other Isoprenoids in the Plastid of Red Grape Berry Skins

Despite current knowledge showing that fruits like tomato and grape berries accumulate different components of the light reactions and Calvin cycle, the role of green tissues in fruits is not yet fully understood. In mature tomato fruits, chlorophylls are degraded and replaced by carotenoids through the conversion of chloroplasts in chromoplasts, while in red grape berries, chloroplasts persist at maturity and chlorophylls are masked by anthocyanins. To study isoprenoid and lipid metabolism in grape skin chloroplasts, metabolites of enriched organelle fractions were analyzed by high-performance liquid chromatography-high-resolution mass spectrometry (HPLC-HRMS) and the expression of key genes was evaluated by real-time polymerase chain reaction (PCR) in berry skins and leaves. Overall, the results indicated that chloroplasts of the grape berry skins, as with leaf chloroplasts, share conserved mechanisms of synthesis (and degradation) of important components of the photosynthetic machinery. Some of these components, such as chlorophylls and their precursors, and catabolites, carotenoids, quinones, and lipids have important roles in grape and wine sensory characteristics.

A Review of Cultural Practices for Botrytis Bunch Rot Management in New Zealand Vineyards

Botrytis bunch rot of grapes (BBR) causes substantial crop and wine quality issues globally. Past and present foundations for BBR control are based upon synthetic fungicides and varying forms of canopy management. Many authors regard the continued dependence on fungicides as unsustainable and have urged greater deployment of cultural, biological and nutritional strategies. However, in contrast to organic wine production, the uptake of alternative strategies in conventional vineyards has been slow based on cost and perceived reliability issues. This review summarises research from many different wine growing regions in New Zealand with the aim of demonstrating how traditional and newly developed cultural control practices have cost-effectively reduced BBR. In addition to reviewing traditional cultural practices (e.g., leaf removal), mechanical tools are described that remove floral trash and mechanically shake the vines. Multi-omics has improved our knowledge of the underlying changes to grape berries after mechanical shaking. Exogenous applications of calcium may correct calcium deficiencies in the berry skin and reduce BBR but the outcome varies between cultivar and regions. Nitrogen aids in grapevine defence against BBR but remains a complex and difficult nutrient to manage. The sustainable growth of organics and The European Green Deal will stimulate researchers to evaluate new combinations of non-chemical BBR strategies in the next decade.