Non-Saccharomyces Yeasts from Organic Vineyards as Spontaneous Fermentation Agents.

Currently, non-Saccharomyces yeasts are the subject of interest, among other things, for their contribution to the aromatic complexity of wines. In this study, the characterisation of non-Saccharomyces yeasts was addressed by their isolation during spontaneous fermentations of organic Verdejo grapes, obtaining a total of 484 isolates, of which 11% were identified by molecular techniques as non-Saccharomyces yeasts. Fermentative isolates belonging to the species Hanseniaspora meyeri, Hanseniaspora osmophila, Pichia guilliermondii, Pichia kudriavzevii, Torulaspora delbrueckii, and Wickerhamomyces anomalus were analysed. Significant differences were found in the yeast populations established at the different fermentation stages. Interestingly, W. anomalus stood up as a widely distributed species in vineyards, vintages, and fermentation stages. Several of the strains studied stood out for their biotechnological potential in the production of Verdejo wine, showing the presence of relevant enzymatic activity for the release of varietal aromas and the technological improvement of the winemaking process. Three enzymatic activities were found in an important number of isolates, ß-glucosidase, protease, and ß-lyase, implicated in the positive aromatic impact on this style of white wine. In that sense, all the isolates of W. anomalus presented those activities. T. delbrueckii isolates were highlighted for their significant ß-lyase activity. In addition, T. delbrueckii was outlined because of its potential to achieve an elevated fermenting power, as well as the lack of lag phase. The results obtained highlight the importance of maintaining the microbial diversity that contributes to the production of wines with unique and distinctive characteristics of the production region.

Screening and Enzymatic Evaluation of Saccharomyces cerevisiae Populations from Spontaneous Fermentation of Organic Verdejo Wines.

Microbial populations in spontaneous winemaking contribute to the distinctiveness and quality of the wines. In this study, molecular methods were applied to 484 isolated yeasts to survey the diversity of the Saccharomyces cerevisiae population in spontaneous fermentations of organic Verdejo grapes. Identification was carried out at strain level for samples from different vineyards correct.and stages of the winemaking process over the course of two vintages, establishing 54 different strains. The number of isolates belonging to each strain was not homogeneous, as two predominant strains represented more than half of the isolates independent of vineyard or vintage. Regarding the richness and abundance, differences among the stages of fermentation were confirmed, finding the highest diversity values in racked must and in the end of fermentation stages. Dissimilarity in S. cerevisiae communities was found among vineyards and vintages, distinguishing representative groups of isolates for each of the populations analysed. These results highlight the effect of vineyard and vintage on yeast communities as well as the presence of singular strains in populations of yeasts. Oenologically relevant enzymatic activities, ß-lyase, protease and ß-glucanase, were detected in 83.9%, 96.8% and 38.7% of the isolates, respectively, which may be of interest for potential future studies.

Real-time PCR detection of Phaeomoniella chlamydospora and Phaeoacremonium aleophilum.

Phaeomoniella chlamydospora and Phaeoacremonium aleophilum are the two main fungal causal agents of Petri disease and esca. Both diseases cause significant economic losses to viticulturalists. Since no curative control measures are known, proactive defensive measures must be taken. An important aspect of current research is the development of sensitive and time-saving protocols for the detection and identification of these pathogens. Real-time PCR based on the amplification of specific sequences is now being used for the identification and quantification of many infective agents. The present work reports real-time PCR protocols for identification of P. chlamydospora and P. aleophilum. Specificity was demonstrated against purified DNA from 60 P. chlamydospora isolates or 61 P. aleophilum isolates, and no amplification was obtained with 54 nontarget DNAs. The limits of detection (i.e., DNA detectable in 95% of reactions) were around 100 fg for P. chlamydospora and 50 fg for P. aleophilum. Detection was specific and sensitive for P. chlamydospora and P. aleophilum. Spores of P. chlamydospora and P. aleophilum were detected without the need for DNA purification. The established protocols detected these fungi in wood samples after DNA purification. P. chlamydospora was detectable without DNA purification and isolation in 67% of reactions. The detection of these pathogens in wood samples has great potential for use in pathogen-free certification schemes.

Mycoplasma agalactiae p40 Gene, a novel marker for diagnosis of contagious agalactia in sheep by real-time PCR: assessment of analytical performance and in-house validation using naturally contaminated milk samples.

We evaluated the capacity of the Mycoplasma agalactiae p40 gene as a diagnostic marker for contagious agalactia in sheep by quantitative real-time PCR. The p40 gene encodes an immunodominant adhesin that plays a key role in cytoadhesion of M. agalactiae. The assay was 100% specific, with an analytical sensitivity of 1 genome equivalent (GE), a quantification that is highly linear (R(2) > 0.992) and efficient (PCR efficiency, >0.992) over a 6-log dynamic range, down to 10 GE. We evaluated the capacity of the assay to detect Mycoplasma agalactiae in 797 milk samples (373 raw sheep milk samples from refrigerated tanks of different farms and 424 milk samples from individual sheep of a flock positive for M. agalactiae). In parallel, we also tested the samples by using microbiological isolation coupled with microscopy identification and by a PCR method recommended by the World Organization for Animal Health. While our assay was able to detect 57 (15.28%) positive samples of the 373 milk samples from different farms, identification by microbiological isolation coupled with microscopy detected only 36 (9.65%) samples, and the conventional PCR detected 31 (8.31%) samples. These findings showed that our assay based on the p40 gene is more specific and sensitive for the detection of M. agalactiae in actual natural samples and, thus, can be a promising alternative tool for diagnosis and epidemiological studies of M. agalactiae infection.

Pea detection in food and feed samples by a real-time PCR method based on a specific legumin gene that allows diversity analysis.

Real-time polymerase chain reaction is currently being used for the identification and quantification of plant and animal species as well as microorganisms in food or feed samples based on the amplification of specific sequences of low copy genes. We report here the development of a new real-time PCR method for the detection and quantification of the pea (Pisum sativum) based on the amplification of a specific region of the legS gene. The specificity was evaluated in a wide range of plant species (51 varieties of Pisum sp., and 32 other plant species and varieties taxonomically related or nonrelated). The method allows the detection and quantification of as low as 21.6 pg of DNA, which corresponds to 5 haploid genome copies. The system has been shown to be sensitive, reproducible and 100% specific for the rapid detection and quantification of pea DNA in processed food and feed samples, being therefore suitable for high-throughput analysis.

Quantitative detection of Clostridium tyrobutyricum in milk by real-time PCR.

We developed a real-time PCR assay for the quantitative detection of Clostridium tyrobutyricum, which has been identified as the major causal agent of late blowing in cheese. The assay was 100% specific, with an analytical sensitivity of 1 genome equivalent in 40% of the reactions. The quantification was linear (R(2) > 0.9995) over a 5-log dynamic range, down to 10 genome equivalents, with a PCR efficiency of >0.946. With optimized detergent treatment and enzymatic pretreatment of the sample before centrifugation and nucleic acid extraction, the assay counted down to 300 C. tyrobutyricum spores, with a relative accuracy of 82.98 to 107.68, and detected as few as 25 spores in 25 ml of artificially contaminated raw or ultrahigh-temperature-treated whole milk.