IJFS#767_bozza Ital. J. Food Sci., vol 29, 2017 - 518 PAPER SACCHAROMYCES CEREVISIAE BIODIVERSITY IN MONFERRATO, NORTH WEST ITALY, AND SELECTION OF INDIGENOUS STARTER CULTURES FOR BARBERA WINE PRODUCTION K. RANTSIOU*a, F. MARENGOa, V. ENGLEZOSa, F. TORCHIOb, S. GIACOSAa, L. ROLLEa, V. GERBIa and L. COCOLINa a University of Turin, Department of Agriculture, Forest and Food Sciences, Largo Paolo Braccini 2, 10095 Grugliasco, Torino, Italy b Università Cattolica del Sacro Cuore, Istituto di Enologia e Ingegneria Agro-Alimentare, Piacenza, Italy *Corresponding author. Tel.: +39 011 670 8870; fax: +39 011 670 8549 E-mail address: kalliopi.rantsiou@unito.it ABSTRACT The aim of this study was to examine the biodiversity of Saccharomyces cerevisiae isolates from Barbera grapes and musts, from the Monferrato area, in the Piedmont region – North West Italy. An interdelta element PCR analysis was used to identify and discriminate 636 S. cerevisiae isolates at a strain level. Ninety-six S. cerevisiae that showed different molecular fingerprints were characterized through physiological tests and laboratory scale fermentations. A chemical analysis of experimental wines obtained from inoculated fermentations showed significant differences between the wines. The main variables considered in the strain differentiation were the residual sugars and the production of acetic acid, which ranged from 148.64 to 3.44 g/l and from 0.20 to 0.60 g/l, respectively. As a consequence, strain variability should be considered as a relevant resource to select suitable starter cultures in order to improve or characterize wines with a close bond to the geographic region. Keywords: Saccharomyces cerevisiae, yeast biodiversity, indigenous starter, interdelta PCR, selection Ital. J. Food Sci., vol 29, 2017 - 519 1. INTRODUCTION Wine production is an ancient tradition that has been carried out for centuries through the spontaneous fermentation of grape juice, which takes place due to the presence of indigenous yeasts from different genera and species (FLEET, 2003; PRETORIUS, 2000; ROMANO et al., 2003). The number of species and their presence during fermentation depends on several factors (PRETORIUS et al., 1999), which lead to subsequent wine quality variations from region to region, but also from one year to another, and all this makes the outcome of spontaneous fermentation difficult to predict (PRETORIUS, 2000). In an attempt to address this issue, many winemakers have used pure commercial Saccharomyces cerevisiae cultures inoculated into the must (PRETORIUS, 2000). However, it has been suggested that native S. cerevisiae strains are better suited to the micro-area climatic conditions of the wine production region (LOPES et al., 2002) and can therefore more easily dominate the natural biota (LA JEUNE et al., 2006). S. cerevisiae, the most relevant species in winemaking, is usually chosen as the wine yeast, and the particular strain is chosen according to a set of physiological features that are indicative of their potential usefulness for industrial wine production. In addition to the primary end products of the glycolytic fermentation of glucose and fructose, certain oenological criteria must be considered in order to select yeast strains that show desirable characteristics, including: tolerance and high ethanol production, exhaustion of the sugar in must and high fermentation activity, growth at high sugar concentrations, high glycerol production, resistance and low sulphur dioxide production, good enzymatic profile (high β-glucosidase and proteolytic activities) and low acetic acid formation (ESTEVE- ZARZOSO et al., 2000). At present, there is increasing interest, in the wine community, in the use of indigenous S. cerevisiae strains that may contribute to the overall sensorial quality of wine and reflect the characteristics of a given region, even in guided fermentations using selected S. cerevisiae starter cultures (CAPECE et al., 2010; SUZZI et al., 2012). Recently, in an attempt to respond to these aspects coupled with the current emphasis on the preservation of all forms of genetic biodiversity, some research groups have focused on the selection of yeasts from restricted areas (SETTANNI et al., 2012; FRANCESCA et al., 2009; ORLIC et al., 2007; LOPES et al., 2007). We have previously extensively studied the indigenous mycobiota originating from the Barbera grapes from the Monferrato area, Piedmont region, North-West Italy (ALESSANDRIA et al., 2015). Barbera grapes produce a ruby-red coloured wine with berry, cherry, plum and spicy flavours, depending on the clone, as well as the location and the age of the plant (BOSSO et al., 2011). In this study, S. cerevisiae isolates were characterized to establish their genetic and technological variability in order to contribute to the preservation of the S. cerevisiae genetic resources of the Barbera of Monferrato terroir. Interdelta-PCR was used to help establish the genetic diversity of the isolates. Physiological tests, which focused on the production of extracellular hydrolytic enzymes and on their growth in different ethanol and total SO2 concentrations, were then conducted. Finally, selected genotypes were used to ferment Barbera must, during micro-fermentation trials, in order to evaluate their fermentation potential. 2. MATERIALS AND METHODS 2.1. Fermentation set up and yeast isolation Spontaneous fermentations were conducted using Vitis Vinifera L. Barbera grapes obtained from fifteen different vineyards (Fig. 1), located in five areas in the Asti and Alessandria Ital. J. Food Sci., vol 29, 2017 - 520 districts of the Piedmont region (ALESSANDRIA et al., 2015). The vineyards, which were identified on the basis of their geographical locations, were: 1 (Murisengo), 2 (San Martino Alfieri), 3 (Costigliole d'Asti), 4 (Isola d'Asti), 5 (Montegrosso d'Asti), 6 (Agliano Terme), 7 (Vinchio), 8 (Nizza Monferrato), 9 (Incisa Scapaccino), 10 (Loazzolo), 11 (Ricaldone), 12 (Alice bel colle), 13 (Acqui -Terme Crocera south west zone), 14 (Acqui Terme - Crocera south est zone) and 15 (Acqui Terme - Dannona zone). Approximately 25 kg of healthy grapes, without signs of bird damage or Botryotinia fuckeliana infection, were harvested. The grapes were crushed in the laboratory and the obtained juice (about 15 L volume) was transferred to sterile jugs where it underwent spontaneous fermentation at room temperature (between 22 and 25°C). Yeasts were isolated from each container at the beginning of the fermentation (after 1 day and 3 days), in the middle (after 7 days) and when alcoholic fermentation was completed. The alcoholic fermentation was monitored with a densitometer. Aliquots (0.1 mL each) of several decimal dilutions, in a 0.1% ringer solution (Oxoid, Milan, Italy), were plated on Wallerstein Laboratory Nutrient (WLN) medium (Oxoid) (Pallmann et al., 2001). The plates were incubated at 28°C for 5 days. WLN allows the presumptive identification of the yeast species according to the colony morphology and colour (URSO et al., 2008). At least 10 colonies were selected from each sample and at each fermentation stage and were isolated on WLN; priority was given to putative colonies of Saccharomyces spp. The isolates were stored at −80 °C in YPD broth (1% (w/v) yeast extract, 2% (w/v) peptone and 2% (w/v) glucose, all obtained from Oxoid) after the addition of glycerol (30%, v/v) (Sigma- Aldrich, Milan, Italy). 2.2. Yeast identification The putative Saccharomyces spp. isolates were subsequently identified and simultaneously differentiated at a strain level on the basis of a PCR interdelta element analysis (δ-PCR). In order to conduct the δ-PCR analysis, the total DNA was extracted from 1 millilitre of an overnight culture in YPD broth, according to COCOLIN et al. (2000), quantified using a Nanodrop ND-1000 spectrophotometer (Celbio, Milan, Italy) and standardized at 100 ng/µL. The delta12 (5′-TCAACAATGGAATCCCAAC-3′) and delta21 (5′- CATCTTAACACCGTATATGA-3′) oligonucleotide primers were used to amplify regions between the repeated interspersed delta sequences (Legras and Karst, 2003). Amplification reactions were performed with a PTC-200 DNA Engine MJ Research thermal cycler (Biorad, Milan, Italy) using the following programme: initial denaturation at 95°C (5 min), 35 cycles of denaturing at 94°C (1 min), annealing at 50°C (1 min), extension at 72°C (1 min) and a final extension at 72°C (10 min). The PCR products were separated in 1.5% agarose gels and stained with ethidium bromide. The resulting fingerprints were analyzed by means of the BioNumerics V4.0 software package (Applied-Maths, Sint-Martens- Latem, Belgium). Similarity among the digitized profiles was calculated using the Pearson correlation, and an average linkage (UPGMA) dendrogram was derived from the profiles. A coefficient of correlation of 85% was arbitrarily selected to distinguish the clusters. The yeasts that were not amplified with δ-PCR, were subsequently identified by using the RFLP of the ribosomal region method as described in ALESSANDRIA et al. (2015). 2.3. Physiological characterization 2.3.1 Hydrogen sulphite production The ability to produce hydrogen sulphite was determined by streaking single colonies onto Biggy agar (Oxoid) and incubating them at 25°C for 48-72 h. Colony colour was observed and scored as being white, pale hazel, hazel, dark hazel or black. Ital. J. Food Sci., vol 29, 2017 - 521 2.3.2 Enzymatic activities The esterase, protease and β-glucosidase activities of the isolates were screened as described by ENGLEZOS et al. (2015). 2.3.3. Ethanol and SO2 tolerance assays Ethanol tolerance and SO2 tolerance were determined in microplates, according to the method proposed by ARROYO-LOPEZ et al. (2010) and TOFALO et al. (2012), with some modifications. Yeast Nitrogen Base with amino acids (YNB, 6.7 g/L, [Remel, Lenexa, KS, USA]) and pH 5.5 was supplemented with 20 g/L of glucose and sterilized by filtration using a 0.2 μm membrane filter (VWR, Milan, Italy). The medium was supplemented with different concentrations of ethanol (Sigma) (final concentrations of 0, 12, 14 and 16% v/v) in order to test for ethanol tolerance, while, in order to establish SO2 resistance, different amounts of total SO2 were added (after adjustment to pH 3.0) until final concentrations of 0, 50, 100 and 150 mg/L. Cells for the inoculation were prepared from an overnight culture in 1 mL of YPD medium, centrifuged at 9000 rpm for 10 min. The obtained pellet was washed twice in a sterile salt solution (8 g/L NaCl) and then re-suspended in the same solution to obtain a concentration of about 106 cells/mL. The diluted cells (20 μL) were mixed with 180 μL of YNB, prepared as above. The microplates were incubated at 25 °C and the optical density (OD) was measured at 600 nm using a microtiter plate reader (Savatec Instruments, Torino, Italy) at 24 and 48 hours after an orbital shaking of 30 s, in order to re-suspend the cells in the medium before the measurement. YNB without ethanol or SO2 was used as the control. Cell growth was determined on the basis of the ratio (%) of OD values obtained in medium with and without ethanol or SO2 for the specific incubation times. Tests were carried out in triplicate. Isolates with a percentage of growth < 10% were considered sensitive. 2.4. Microfermentations The fermentation potential of the different genotypes was evaluated in microfermentation trials. These were carried out in duplicate for 14 days, in 50 mL tubes containing 25 mL of Barbera grape must (120 g/L glucose, 124 g/L fructose, 5.25 titratable acidity as g/L of tartaric acid, pH 3.20 and 184 mg/L yeast available nitrogen (YAN)). Before the inoculation, the must was thermally treated at 60 °C for 50 min, and the absence of viable populations was evaluated by plating 100 μL of the must after the treatment on the WLN medium, followed by incubation at 28 °C for 5 days. Pre-cultures were prepared in must at 25 °C for 24 h, and then used to inoculate each fermentation with a cell concentration of 106 per mL, which was determined through a microscopical cell count. The fermentations were carried out under static conditions at 25 °C. 2.5. Chemical analysis After 14 days of fermentation, the sugar consumption (glucose and fructose) and the ethanol, glycerol and acetic acid production were evaluated directly by means of HPLC, according to the method proposed by ROLLE et al. (2012). YAN was measured following the protocols reported in ENGLEZOS et al., 2016). Ital. J. Food Sci., vol 29, 2017 - 522 2.6. Data analysis The results of the chemical composition of the wines obtained from the micro- fermentation trials were subjected to a Principal Component Analysis (PCA), in order to evaluate the intraspecific biodiversity of S. cerevisiae isolates. Statistical analyses were performed using the IBM SPSS Statistics software package (version 19.0, IBM Corp., Armonk, NY, USA). 3. RESULTS AND DISCUSSIONS The possible association between territory and yeasts is being actively investigated in recent years and is believed to have a positive impact and influence purchase decision- making by the consumer. The use of indigenous selected yeasts could represent a useful alternative to spontaneous fermentation in order to optimize the typical attributes of the grape variety (CLEMENTE JIMENEZ et al., 2004; REMENTERIA et al., 2003; ROMANO et al., 2008). The goal of this study was to isolate and characterize indigenous S. cerevisiae yeasts present on Barbera grapes in the vineyards of the Monferrato area. Fifteen vineyards, located in the Piedmont region (Fig. 1) and cultivated with the Barbera grape variety, were studied during the 2012 harvest season and the collected grapes were crushed to obtain 15 spontaneous alcoholic fermentations. Figure 1. Geographic location of the fifteen vineyards in the Monferrato region (Asti and Alessandria) with indication of the 5 areas considered. The distribution of the vineyards in the five areas was as follows: A (Murisengo), B (Montegrosso d'Asti, Costigliole d'Asti, San Martino Alfieri, Agliano Terme, Isola d'Asti), C (Vinchio, Nizza Monferrato, Incisa Scapaccino), D (Loazzolo) and E (Ricaldone, Aqui Terme, Alice bel colle). Overall, 943 yeast colonies were isolated during the fermentations, and after molecular identification, most of them (636 isolates) were identified, through the use of δ-PCR, as S. cerevisiae. Other species, namely Hanseniaspora uvarum (248 isolates), Starmerella bacillaris (synonym Candida zemplinina) (11 isolates), Pichia anomala (7 isolates) and Torulaspora delbruecki (7 isolates) were also isolated, mainly at the beginning and middle of the fermentations. Ital. J. Food Sci., vol 29, 2017 - 523 The PCR amplification of the δ interspersed sequences was also used to identify the genetic differences among the S. cerevisiae isolated during the fermentations. The molecular fingerprinting analysis, using a coefficient of similarity of 85%, allowed numerous strains among the isolates to be distinguished. The dendrogram resulting from the analysis of 636 S. cerevisiae isolates highlighted the presence of 62 clusters and 37 strains, which were unique and did not cluster with any other isolate. The most numerous clusters were: XVII and XLI with 60 and 44 isolates, respectively (Table 1). It is interesting to notice the different level of heterogeneity of S. cerevisiae isolated from the different vineyards. For example, most of the isolates from vineyard 1 grouped in one single cluster (XLI), while in other cases (vineyards 12, 13 and 14) a high level of diversity was observed. Only 37 S. cerevisiae δ-PCR patterns were unique, demonstrating a feeble biodiversity of indigenous S. cerevisiae strains in Monferrato area. Considering the ratio between the number of S. cerevisiae isolated and the number of observed patterns, as an approximate biodiversity estimation, our results showed similar values to those found in Portugal (SCHULLER et al., 2005) and in France (VALERO et al., 2007). In order to investigate further the S. cerevisiae diversity, 96 strains were selected on the basis of the cluster analysis, and screened for desirable oenological characteristics (ESTEVE-ZARZOSO et al., 2000) such as: a low production of hydrogen sulphide and tolerance to a final concentration of 150 mg/L total sulphur dioxide and 16% (v/v) of ethanol (Table 2). All the strains exhibited a medium hydrogen sulphide production level; 5% of them appeared to be pale hazel on Biggy agar, while the others were hazel. Concerning the results of the tolerance to SO2, the selected strains were able to grow in the presence of 50 and 100 mg/L of SO2 (83% and 60% of the isolates, respectively), while only a few isolates (32%) grew at 150 mg/L of SO2 within 24 h. Extending the incubation time to 48 h, the number of the isolates that were able to grow at 150 mg/L of SO2 increased to 63%. Only one strain (ScBa20) was totally inhibited by SO2. As far as ethanol tolerance is concerned, 60% of the strains grew at 14% v/v within 24 h. Ethanol mainly affected yeast growth by increasing the lag phase, and this evidence explains why after increasing the incubation time to 48 h, 95% of the strains were able to grow in all the ethanol concentrations (Table 2). β-glucosidase activity was found in only 2.7% of the strains, thus indicating possible production and activity during the fermentation. Protease activity was detected in 37.8% of the tested S. cerevisiae, while 21.6% were able to hydrolyse esters (data not shown). In order to extend the information on the 96 S. cerevisiae strains of the Monferrato area, alcoholic fermentations were carried out in Barbera grape must. The experimental wines obtained were analyzed to establish the content of some by-products correlated to the organoleptic quality of the wine and the obtained results are reported in Table 3. The values of the residual sugars ranged from 3.44 to 148.64 g/L. Only seven isolates (ScBa4, ScBa5, ScBa13, ScBa26, ScBa44, ScBa60 and ScBa63) were able to leave less than 5 g/L of residual sugars after 14 days of fermentation. All the strains, except ScBa12, ScBa47, ScBa48 and ScBa57, were capable of consuming almost all the glucose of the must, confirming the glucophylic character of this species. All the yeast strains, that completed the fermentation, formed low amounts of acetic acid in the wines (less than 0.6 g/L). Glycerol production was relatively low, ranging from 5.20 to 7.86 g/L. The fermentation purity was high; most strains had a low ratio between the produced acetic acid and ethanol (range 0.01-0.09) and only three strains showed values above 0.04. As regards ethanol production, 52% of the strains produced more than 13%, and 6% of them managed to develop more than 14%. Ital. J. Food Sci., vol 29, 2017 - 524 Table 1. Clusters obtained from a comparison of the different fingerprinting profiles of the S. cerevisiae isolates examined in this study by means of the molecular technique. The arbitrarily selected coefficient of similarity was 85%. The table shows their composition according to the geographical locations (vineyard) from which the isolates were obtained. Monferrato's vineyards Cluster Number of strains in the cluster 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 I 5 / / / / / / / / / / 5 / / / / II 15 / / / / 11 / 4 / / / / / / / / III 14 / / 6 / / / 4 / / / 2 / 2 / / IV 6 / / 6 / / / / / / / / / / / / V 3 / 3 / / / / / / / / / / / / / VI 6 / / / / / / / / / 2 / / / 3 1 VII 2 / / / / / / / / / / / / / / 2 VIII 24 / 14 5 / / / / 2 / / / / 1 / 2 IX 4 / 4 / / / / / / / / / / / / / X 7 / / / / 3 / / / / / 4 / / / / XI 10 / / / / / / / / 3 / / / 7 / / XII 8 / / / / / / / / 4 / / / 4 / / XIII 7 / 7 / / / / / / / / / / / / / XIV 18 / 4 / / 10 / / / / / 1 / 2 1 / XV 4 / / / / / 2 / / / / / / 2 / / XVI 2 / / / / / / / / / 1 / / / 1 / XVII 60 6 4 3 2 1 / 3 8 / 2 / 2 5 9 15 XVIII 6 / / / / / / 2 2 / / / / 2 / XIX 10 / / 4 / / / / / / / / / 4 / 2 XX 15 1 / / 9 2 / / / / / / / / 2 1 XXI 13 / / / 2 2 / / 2 / 2 / / 2 2 1 XXII 28 2 / 1 / / / / 1 / / / 1 1 4 18 XXIII 2 / / 1 / / / / / / / / / 1 / / XXIV 3 / / / / / / / / / 3 / / / / / XXV 3 / / / / / / / / / 3 / / / / / XXVI 4 / / / / / / / / / / / / / / 4 XXVII 5 / / 3 / / / / / / / / / / 1 1 XVIII 2 / / / / / / / / / / / / 2 / / XXIX 10 / / / / / / / / / / / / 10 / / XXX 6 / / / / / / / / / / / / 3 3 / XXXI 7 / / / / / / / / / 3 / / 3 / 1 XXXII 3 1 / / / / / / / / 2 / / / / / XXXIII 6 / / / / / / / / / / / 5 1 / / XXXIV 5 / / / / / / / / / / / 5 / / / XXXV 3 / / / 1 / / / / / / / / 2 / / XXXVI 5 / / / / / 5 / / / / / / / / / XXXVII 9 / / / 2 / / / 2 / 4 / / / / 1 XXXVIII 4 / / / / / / / / / / / / / / 4 Ital. J. Food Sci., vol 29, 2017 - 525 Table 1. Continues. Monferrato's vineyards Cluster Number of strains in the cluster 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 XXXIX 2 / / / / / / / 2 / / / / / / / XL 7 / / / / / / / / / / / / 7 / / XLI 44 38 / / / / / / / / / / 3 3 / / XLII 7 / / / / / 2 / 1 4 / / / / / / XLIII 9 / / 5 / / / / / 1 / / 2 / 1 / XLIV 7 / / / / / / / 3 3 1 / / / / / XLV 6 / / / / / / / / / / / / 6 / / XLVI 5 / / / / / / 5 / / / / / / / / XLVII 10 / / / 9 / / / / / / / / 1 / / XLVIII 15 / / / / / / / / / / 13 2 / / / XLIX 6 / / / / 2 4 / / / / / / / / / L 10 / 3 / / / / / 6 / 1 / / / / / LI 4 / / / / / / / / 3 / 1 / / / / LII 30 / / / / 2 16 10 / / / / / 2 / / LIII 12 / / / / 2 / 7 / / / / 1 / 2 / LIV 2 / / / / / / / / / / / / / 2 / LV 10 / / / / / / / / / / / / / / 10 LVI 5 / / / / 3 2 / / / / / / / / / LVII 19 2 / / / 2 / / 1 / / / / 6 8 / LVIII 15 / / / / 3 / / / / 2 / 10 / / / LIX 25 / / / / / 5 7 / / / / 1 / 12 / LX 22 / / / / / / / 1 / 7 / / 12 1 1 LXI 3 / / / / / / / / / 1 / / 2 / / LXII 17 / 3 / / / / 1 / / / 4 8 / 1 / Ital. J. Food Sci., vol 29, 2017 - 526 Table 2. Results of the resistance to ethanol and SO2 of the tested strains. The values presented are the ratio between the OD of the isolates in broth with and without ethanol or SO2 times 100 at the specific incubation times. The values are the means of triplicate experiments. Strains SO2 growth (mg/L) Ethanol growth (% vol.) 24 hours of incubation 48 hours of incubation 24 hours of incubation 48 hours of incubation 50 100 150 50 100 150 12 14 16 12 14 16 ScBa1 36 6 14 81 74 81 0 0 0 64 0 0 ScBa2 82 87 71 93 99 89 100 93 100 100 100 100 ScBa3 81 46 36 100 91 100 36 6 7 97 47 0 ScBa4 34 3 4 100 72 36 2 1 1 17 0 0 ScBa5 81 46 36 98 99 96 36 6 7 98 73 4 ScBa6 44 46 16 87 67 52 11 1 1 13 1 1 ScBa7 58 48 42 95 88 61 9 4 4 90 6 5 ScBa8 76 49 42 98 94 93 8 4 5 85 7 5 ScBa9 70 42 43 96 92 94 5 4 5 72 4 5 ScBa10 26 15 9 70 69 60 19 1 0 70 0 0 ScBa11 22 6 6 87 83 10 2 1 1 5 0 0 ScBa12 9 6 2 44 7 7 4 2 2 3 1 1 ScBa13 60 32 32 99 93 83 9 3 3 97 3 3 ScBa14 38 2 1 85 55 16 51 1 0 61 0 0 ScBa15 26 3 3 72 30 14 49 0 0 58 0 0 ScBa16 2 4 23 6 40 77 51 0 0 61 0 0 ScBa17 12 0 0 91 54 17 37 0 0 76 0 1 ScBa18 47 0 0 55 9 0 1 1 0 38 0 0 ScBa19 87 58 52 85 84 75 40 0 0 77 0 0 ScBa20 63 0 0 64 2 0 0 0 0 13 0 0 ScBa21 52 31 46 60 59 50 55 0 0 83 0 0 ScBa22 96 91 83 100 97 96 100 95 97 98 93 99 ScBa23 67 63 54 96 66 40 96 70 71 100 92 100 ScBa24 28 16 8 85 87 78 100 69 75 100 71 84 ScBa25 76 76 75 95 82 58 73 71 52 81 67 57 ScBa26 39 31 21 74 40 22 79 17 8 69 65 66 ScBa27 14 11 10 74 40 22 67 59 59 69 65 66 ScBa28 83 65 62 88 86 76 92 83 71 100 94 90 ScBa29 95 81 65 100 98 89 89 77 58 100 92 83 ScBa30 44 33 7 88 91 38 69 55 64 71 63 68 ScBa31 100 90 86 100 98 99 80 52 1 90 78 0 ScBa32 100 84 83 100 97 98 99 90 5 100 98 7 ScBa33 100 81 75 100 98 97 98 90 5 99 97 1 Ital. J. Food Sci., vol 29, 2017 - 527 ScBa34 45 37 10 97 87 67 77 50 1 79 63 0 ScBa35 36 22 28 50 39 30 44 32 27 87 83 67 ScBa36 65 62 33 100 95 84 96 83 86 88 84 87 ScBa37 66 32 23 100 68 65 100 95 97 100 100 100 ScBa38 70 43 29 100 70 66 100 98 100 100 98 100 ScBa39 60 34 28 100 96 98 97 86 73 82 67 44 ScBa40 27 9 14 100 99 98 92 87 78 100 96 98 ScBa41 25 8 7 72 30 14 51 28 0 87 44 1 ScBa42 24 14 20 100 97 97 96 91 74 99 96 90 ScBa43 43 18 21 100 98 86 80 62 13 99 92 75 ScBa44 66 55 38 89 86 83 100 96 99 100 98 100 ScBa45 52 35 25 88 89 77 99 91 85 100 93 91 ScBa46 40 26 22 98 90 76 76 77 86 93 88 94 ScBa47 29 28 9 100 64 70 83 0 0 100 100 100 ScBa48 14 4 6 69 63 46 90 27 4 100 100 100 ScBa49 59 53 52 90 85 76 98 89 85 97 88 86 ScBa50 57 50 44 77 86 88 95 94 89 95 96 95 ScBa51 58 51 55 80 83 70 100 91 85 100 89 87 ScBa52 100 96 100 99 96 99 100 99 100 100 98 100 ScBa53 91 91 87 90 91 87 91 88 91 92 93 93 ScBa54 100 98 100 100 97 100 100 100 100 100 100 100 ScBa55 100 98 99 100 99 99 100 100 100 100 100 100 ScBa56 98 73 90 100 95 99 100 100 99 100 100 99 ScBa57 20 12 13 70 16 11 100 93 63 100 100 100 ScBa58 72 19 12 100 88 71 100 98 92 100 100 96 ScBa59 80 45 27 100 98 99 100 98 96 100 98 96 ScBa60 70 76 53 100 100 96 97 77 92 100 100 100 ScBa61 86 87 62 99 97 98 100 95 81 100 100 91 ScBa62 88 69 73 100 98 100 96 94 90 100 94 87 ScBa63 80 54 49 100 100 97 98 98 92 100 99 93 ScBa64 86 49 31 100 100 98 96 96 91 98 96 90 ScBa65 100 93 94 100 100 100 100 95 100 100 96 99 ScBa66 35 12 15 67 50 61 95 92 72 95 95 88 ScBa67 30 7 15 70 70 66 95 83 61 100 97 92 ScBa68 36 6 8 72 68 65 99 99 97 100 100 100 ScBa69 25 7 8 79 70 73 100 100 100 100 100 100 ScBa70 65 79 42 79 82 61 100 97 83 100 99 85 ScBa71 18 35 18 70 74 71 97 81 78 100 95 88 ScBa72 80 77 42 100 93 78 100 96 96 100 100 99 Ital. J. Food Sci., vol 29, 2017 - 528 ScBa73 54 59 32 83 81 73 97 96 85 100 100 100 ScBa74 93 86 68 100 98 91 100 95 84 100 97 100 ScBa75 57 59 59 89 55 56 66 66 51 66 67 53 ScBa76 88 85 86 86 83 84 97 97 74 97 99 79 ScBa77 87 85 85 84 82 86 95 88 71 100 92 76 ScBa78 100 99 95 99 97 97 100 99 99 100 100 100 ScBa79 100 100 99 100 100 100 100 100 100 100 100 100 ScBa80 91 92 88 90 91 88 83 70 65 88 71 66 ScBa81 81 72 43 100 97 98 100 96 93 100 100 100 ScBa82 74 79 63 100 97 100 100 92 98 100 97 100 ScBa83 100 99 99 100 99 99 100 100 100 100 100 100 ScBa84 84 84 86 84 84 86 87 69 62 93 72 63 ScBa85 92 90 91 93 91 92 99 86 75 100 97 93 ScBa86 91 93 93 91 92 93 100 100 100 100 100 100 ScBa87 92 91 92 89 87 88 86 71 64 91 70 62 ScBa88 91 86 90 91 86 90 99 92 83 100 96 89 ScBa89 93 83 89 100 96 88 100 97 97 100 100 100 ScBa90 97 95 99 99 96 100 100 96 90 100 100 92 ScBa91 80 84 63 93 95 86 100 100 92 100 100 100 ScBa92 99 90 100 99 96 100 100 99 100 100 100 100 ScBa93 100 79 72 100 75 68 100 98 99 100 100 100 ScBa94 100 100 100 100 100 99 100 100 100 100 100 99 ScBa95 100 98 94 100 99 95 100 85 86 100 86 88 ScBa96 100 90 65 100 90 66 100 97 97 100 98 99 Ital. J. Food Sci., vol 29, 2017 - 529 Table 3. Chemical analysis of the wines obtained from the fermentation of the pure indigenous S. cerevisiae cultures. The data are means±standard deviations. With * were reported strains which were unique and did not cluster with any other isolate. Strains Vineyard Cluster Residual glucose (g/L) Residual fructose (g/L) Glycerol (g/L) Acetic acid (g/L) Ethanol (%v/v) Fermentatio n puritya Ethanol yieldb Glycerol yieldc Acetic acid yieldd ScBa1 11 I 2.18±0.54 24.23±2.14 7.00±0.15 0.45±0.00 12.57±0.19 0.036±0.001 0.058±0.001 0.032±0.001 0.0359±0.0008 ScBa2 13 * 0.88±0.07 8.68±0.80 6.86±0.05 0.51±0.02 13.77±0.05 0.037±0.001 0.059±0.001 0.029±0.001 0.0367±0.0012 ScBa3 5 II 0.65±0.08 4.43±1.04 7.01±0.01 0.56±0.01 14.11±0.11 0.039±0.001 0.059±0.001 0.029±0.001 0.0395±0.0005 ScBa4 7 * 0.68±0.01 2.77±1.47 7.42±0.82 0.29±0.03 14.14±0.11 0.021±0.002 0.059±0.001 0.031±0.003 0.0208±0.0023 ScBa5 7 III 0.38±0.27 3.08±1.84 6.89±0.10 0.30±0.05 14.27±0.01 0.021±0.004 0.059±0.001 0.029±0.001 0.0207±0.0037 ScBa6 7 * 1.14±0.37 6.57±2.71 7.08±0.03 0.31±0.07 13.89±0.35 0.022±0.006 0.059±0.001 0.026±0.001 0.0224±0.0056 ScBa7 3 IV 1.58±0.73 12.15±1.93 6.92±0.16 0.33±0.00 13.82±0.03 0.024±0.001 0.060±0.001 0.030±0.001 0.0240±0.001 ScBa8 2 V 2.98±3.16 16.78±18.98 6.54±0.43 0.47±0.34 12.60±0.90 0.037±0.025 0.056±0.002 0.029±0.005 0.0367±0.0247 ScBa9 5 * 0.69±0.25 5.68±4.83 7.07±0.01 0.29±0.02 13.73±0.20 0.021±0.001 0.058±0.002 0.030±0.001 0.0215±0.0014 ScBa10 10 VI 1.65±0.49 15.33±2.45 6.81±0.14 0.41±0.04 13.46±0.13 0.031±0.002 0.059±0.001 0.030±0.001 0.0307±0.0025 ScBa11 15 VII 1.11±0.96 11.44±10.36 7.44±0.08 0.35±0.01 13.46±0.58 0.026±0.001 0.058±0.001 0.032±0.001 0.026±0.0007 ScBa12 2 VIII 78.13±0.19 70.52±0.15 5.20±0.10 0.43±0.01 4.90±0.09 0.088±0.001 0.051±0.001 0.054±0.001 0.0879±0.0001 ScBa13 2 IX 0.82±0.25 2.80±0.68 6.63±0.08 0.20±0.02 13.87±0.28 0.014±0.002 0.058±0.001 0.028±0.001 0.0144±0.0015 ScBa14 11 X 1.14±0.72 13.37±5.12 6.99±0.07 0.29±0.03 13.59±0.45 0.021±0.003 0.059±0.001 0.030±0.001 0.0213±0.0033 ScBa15 14 XI 2.88±0.61 28.44±1.79 7.10±0.03 0.44±0.01 12.38±0.05 0.035±0.001 0.058±0.001 0.033±0.001 0.0352±0.0008 ScBa16 14 XII 3.71±0.58 28.71±1.54 6.82±0.22 0.38±0.04 12.04±0.14 0.032±0.003 0.057±0.001 0.032±0.001 0.0319±0.0028 ScBa17 2 XIII 1.09±0.07 6.93±0.34 7.37±0.01 0.39±0.01 14.03±0.03 0.028±0.001 0.059±0.001 0.031±0.001 0.0275±0.0004 ScBa18 2 * 0.89±0.37 11.64±5.35 6.46±0.65 0.41±0.18 13.00±0.32 0.031±0.013 0.056±0.001 0.028±0.004 0.0314±0.0129 ScBa19 5 XIV 0.83±0.23 8.09±5.27 6.85±0.09 0.36±0.05 13.34±0.71 0.028±0.006 0.056±0.004 0.029±0.001 0.0275±0.0055 ScBa20 14 XV 0.63±0.24 7.80±2.79 7.26±0.02 0.41±0.00 13.89±0.07 0.029±0.001 0.060±0.001 0.031±0.001 0.0292±0.0004 ScBa21 10 XVI 1.58±0.21 10.27±2.32 6.72±0.04 0.44±0.06 13.40±0.15 0.030±0.001 0.0059 ±0.001 0.030 ±0.001 0.0234±0.003 ScBa22 15 XVII 1.54±0.62 17.88±4.13 7.88±0.12 0.38±0.04 12.88±0.14 0.030±0.004 0.057±0.001 0.035±0.001 0.0297±0.0037 ScBa23 13 * 1.04±0.65 13.68±5.92 7.35±0.04 0.34±0.01 13.21±0.26 0.026±0.001 0.058±0.001 0.032±0.001 0.026±0.0012 ScBa24 14 * 1.18±0.04 15.75±0.21 7.13±0.20 0.34±0.01 13.14±0.19 0.026±0.001 0.058±0.001 0.031±0.001 0.0261±0.0007 ScBa25 7 * 3.86±1.76 22.9±5.06 6.81±0.17 0.26±0.01 12.82±0.71 0.021±0.001 0.059±0.001 0.031±0.001 0.0206±0.0006 Ital. J. Food Sci., vol 29, 2017 - 530 ScBa26 7 XVIII 0.69±0.08 4.20±1.12 7.13±0.21 0.25±0.04 13.96±0.22 0.018±0.003 0.058±0.001 0.030±0.001 0.0181±0.0035 ScBa27 14 XIX 0.73±0.48 9.18±6.55 6.88±0.13 0.24±0.04 13.72±0.64 0.017±0.004 0.059±0.001 0.029±0.001 0.0174±0.0037 ScBa28 4 XX 0.75±0.10 7.31±2.50 6.65±0.12 0.32±0.07 13.68±0.30 0.024±0.006 0.058±0.001 0.028±0.001 0.0237±0.0058 ScBa29 5 XXI 1.84±0.13 16.38±0.98 6.80±0.11 0.41±0.05 13.32±0.20 0.031±0.004 0.059±0.001 0.030±0.001 0.0307±0.0043 ScBa30 15 XXII 5.12±2.03 31.28±5.30 6.65±0.03 0.44±0.01 11.8±0.54 0.037±0.001 0.057±0.001 0.032±0.001 0.037±0.0008 ScBa31 2 XXIII 1.15±0.44 11.07±4.09 6.59±0.01 0.40±0.06 13.56±0.41 0.029±0.005 0.058±0.001 0.028±0.001 0.0293±0.0051 ScBa32 10 XXIV 0.96±0.47 6.09±0.38 7.03±0.84 0.37±0.02 13.67±0.17 0.027±0.002 0.058±0.001 0.03±0.004 0.0269±0.0015 ScBa33 10 XXV 0.65±0.17 5.69±1.43 6.42±0.17 0.44±0.03 13.97±0.27 0.031±0.003 0.059±0.002 0.027±0.001 0.0313±0.003 ScBa34 13 * 1.13±0.54 18.34±1.89 7.78±0.05 0.32±0.00 12.82±0.01 0.025±0.001 0.057±0.001 0.035±0.001 0.0249±0.0001 ScBa35 7 * 0.62±0.20 5.13±1.56 7.44±0.03 0.52±0.02 13.93±0.20 0.037±0.002 0.058±0.001 0.031±0.001 0.0372±0.0019 ScBa36 15 XXVI 1.14±0.42 15.81±2.76 6.69±0.08 0.40±0.06 12.99±0.12 0.031±0.004 0.057±0.001 0.029±0.001 0.0306±0.004 ScBa37 3 XXVII 0.57±0.13 5.55±2.26 6.59±0.07 0.33±0.01 13.87±0.12 0.024±0.001 0.058±0.001 0.028±0.001 0.0239±0.0012 ScBa38 10 * 0.79±0.02 7.81±1.69 6.99±0.32 0.41±0.02 13.23±0.50 0.031±0.002 0.056±0.003 0.030±0.001 0.0310±0.0002 ScBa39 14 XXVIII 1.58±0.35 17.36±1.76 7.86±0.10 0.31±0.01 12.99±0.23 0.024±0.001 0.058±0.001 0.035±0.001 0.0240±0.0010 ScBa40 14 XXIX 2.68±0.47 24.44±0.38 7.49±0.68 0.42±0.05 12.24±0.90 0.036±0.007 0.054±0.004 0.034±0.003 0.0356±0.0068 ScBa41 12 * 1.40±0.86 19.33±4.79 7.12±0.16 0.39±0.02 13.01±0.28 0.03±0.002 0.058±0.001 0.032±0.001 0.0297±0.0025 ScBa42 13 XXX 2.52±0.62 25.2±1.99 6.98±0.23 0.36±0.00 12.6±0.17 0.029±0.001 0.058±0.001 0.032±0.001 0.0287±0.0003 ScBa43 15 XXXI 3.07±1.42 26.09±4.50 6.91±0.20 0.36±0.02 12.50±0.68 0.029±0.001 0.058±0.002 0.032±0.001 0.0289±0.0001 ScBa44 1 XXXII 0.62±0.01 3.63±0.59 6.99±0.08 0.27±0.01 14.05±0.04 0.019±0.001 0.058±0.001 0.029±0.001 0.0189±0.0003 ScBa45 12 XXXIII 3.88±0.02 30.01±0.48 6.86±0.11 0.41±0.03 12.11±0.02 0.034±0.002 0.058±0.001 0.033±0.001 0.0338±0.0020 ScBa46 12 XXXIV 3.32±0.14 24.06±0.06 7.69±0.27 0.39±0.00 12.43±0.22 0.031±0.001 0.057±0.001 0.035±0.001 0.0313±0.0003 ScBa47 4 XXXV 61.26±8.62 48.21±7.22 5.65±0.44 0.52±0.02 7.42±0.89 0.071±0.006 0.055±0.001 0.042±0.002 0.0708±0.0058 ScBa48 6 XXXVI 68.47±0.49 53.25±1.42 5.51±0.29 0.54±0.02 6.86±0.28 0.079±0.001 0.056±0.002 0.045±0.002 0.0786±0.0003 ScBa49 15 XXXVII 1.39±0.90 17.01±3.35 6.94±0.05 0.37±0.00 12.88±0.40 0.029±0.001 0.057±0.001 0.031±0.001 0.0288±0.0012 ScBa50 9 * 2.78±0.19 25.25±0.23 6.75±0.15 0.39±0.01 12.6±0.08 0.031±0.001 0.058±0.001 0.031±0.001 0.0311±0.0003 ScBa51 15 XXXVIII 2.48±0.03 24.83±0.26 6.81±0.18 0.36±0.01 12.49±0.22 0.029±0.001 0.058±0.001 0.031±0.001 0.0291±0.0001 ScBa52 8 XXXIX 0.71±0.09 8.32±0.62 6.67±0.11 0.43±0.02 13.73±0.08 0.031±0.001 0.058±0.001 0.028±0.001 0.0312±0.0010 ScBa53 11 * 1.78±1.01 21.99±5.78 6.80±0.04 0.42±0.03 12.60±0.14 0.033±0.002 0.057±0.001 0.031±0.001 0.0333±0.0019 ScBa54 14 XL 1.72±1.39 15.94±7.53 7.06±0.01 0.31±0.00 13.24±0.42 0.023±0.001 0.058±0.001 0.031±0.001 0.0233±0.0011 ScBa55 1 XLI 2.11±1.08 17.06±5.14 6.70±0.06 0.24±0.01 13.18±0.48 0.018±0.001 0.059±0.001 0.030±0.001 0.0181±0.0015 ScBa56 6 XLII 1.85±0.39 15.86±1.64 6.78±0.01 0.32±0.01 13.35±0.16 0.024±0.001 0.059±0.001 0.030±0.001 0.0238±0.0007 Ital. J. Food Sci., vol 29, 2017 - 531 ScBa57 3 XLIII 68.19±0.5 45.76±2.71 5.21±0.13 0.60±0.00 7.39±0.17 0.081±0.002 0.057±0.001 0.040±0.002 0.0811±0.0024 ScBa58 8 XLIV 4.84±3.73 30.43±10.18 6.53±0.20 0.43±0.01 11.73±1.22 0.038±0.004 0.055±0.002 0.031±0.003 0.0375±0.0045 ScBa59 1 * 3.60±1.45 28.12±4.22 6.84±0.01 0.42±0.00 12.20±0.46 0.034±0.001 0.057±0.001 0.032±0.001 0.0341±0.0011 ScBa60 10 XLIV 0.69±0.20 4.12±2.80 7.81±0.20 0.30±0.02 14.08±0.03 0.022±0.001 0.059±0.001 0.033±0.001 0.0216±0.0013 ScBa61 14 XLV 0.56±0.05 7.10±0.59 6.96±0.19 0.42±0.00 13.79±0.18 0.030±0.001 0.058±0.001 0.029±0.001 0.0305±0.0007 ScBa62 13 * 0.98±0.08 13.73±0.37 6.43±0.17 0.32±0.01 13.21±0.28 0.024±0.001 0.058±0.001 0.028±0.001 0.0239±0.0001 ScBa63 14 * 0.39±0.15 3.85±1.71 7.20±0.07 0.50±0.14 13.58±0.48 0.038±0.012 0.056±0.002 0.030±0.001 0.0377±0.0116 ScBa64 14 * 0.98±0.54 7.81±1.64 6.87±0.14 0.32±0.09 13.33±0.61 0.025±0.008 0.056±0.002 0.029±0.001 0.0248±0.0079 ScBa65 7 XLVI 1.07±0.51 9.91±4.72 6.46±0.09 0.23±0.01 13.42±0.50 0.017±0.001 0.057±0.001 0.028±0.001 0.0173±0.0013 ScBa66 4 XLVII 3.00±0.12 25.73±0.44 6.76±0.01 0.39±0.01 12.15±0.07 0.032±0.001 0.056±0.001 0.031±0.001 0.0319±0.0005 ScBa67 4 * 3.17±1.05 25.26±2.74 7.72±1.37 0.37±0.01 12.71±0.56 0.029±0.001 0.059±0.004 0.036±0.007 0.0292±0.0002 ScBa68 4 * 0.89±0.22 9.31±2.35 6.60±0.22 0.22±0.03 13.46±0.31 0.016±0.002 0.057±0.001 0.028±0.001 0.0162±0.0017 ScBa69 4 * 0.85±0.42 8.44±4.20 6.54±0.03 0.24±0.02 13.41±0.27 0.018±0.002 0.057±0.001 0.028±0.001 0.0182±0.0021 ScBa70 12 XLVIII 4.27±1.33 31.23±3.89 6.88±0.02 0.40±0.03 12.27±0.27 0.033±0.001 0.059±0.003 0.033±0.001 0.0330±0.0014 ScBa71 11 * 0.72±0.33 4.54±2.92 6.72±0.09 0.30±0.01 13.88±0.39 0.021±0.001 0.058±0.001 0.028±0.001 0.0214±0.0001 ScBa72 6 XLIX 0.66±0.09 7.05±0.76 6.84±0.01 0.40±0.01 13.78±0.08 0.029±0.001 0.058±0.001 0.029±0.001 0.0291±0.0009 ScBa73 14 * 0.78±0.04 7.81±0.64 7.10±0.04 0.42±0.00 13.82±0.02 0.031±0.001 0.059±0.001 0.030±0.001 0.0307±0.0002 ScBa74 8 L 0.93±0.28 9.96±2.72 6.64±0.01 0.40±0.01 13.49±0.11 0.030±0.001 0.058±0.001 0.028±0.001 0.0300±0.0007 ScBa75 9 LI 3.57±2.41 27.49±8.01 6.79±0.13 0.38±0.01 12.35±0.66 0.031±0.002 0.058±0.001 0.032±0.001 0.0309±0.0022 ScBa76 9 * 3.63±1.97 30.74±4.86 6.58±0.05 0.37±0.00 12.01±0.29 0.031±0.001 0.057±0.001 0.031±0.001 0.0308±0.0008 ScBa77 9 * 3.96±1.15 30.12±3.88 6.61±0.04 0.37±0.03 11.93±0.41 0.031±0.001 0.057±0.001 0.031±0.001 0.0314±0.0011 ScBa78 7 * 1.02±0.22 9.71±2.42 6.15±0.11 0.31±0.04 13.42±0.11 0.023±0.003 0.057±0.001 0.026±0.001 0.0228±0.0033 ScBa79 11 * 1.23±0.37 12.73±2.91 6.52±0.13 0.23±0.01 13.37±0.06 0.017±0.001 0.058±0.001 0.028±0.001 0.0169±0.0007 ScBa80 8 * 6.79±2.11 36.88±3.98 6.57±0.00 0.41±0.02 11.22±0.36 0.037±0.003 0.056±0.001 0.033±0.001 0.0366±0.0032 ScBa81 7 LII 1.96±1.25 15.41±6.55 6.96±0.03 0.40±0.01 13.30±0.38 0.030±0.002 0.059±0.001 0.031±0.001 0.0299±0.0017 ScBa82 6 LIII 1.00±0.06 10.89±0.92 6.65±0.04 0.21±0.00 13.36±0.07 0.016±0.001 0.057±0.001 0.029±0.001 0.0157±0.0001 ScBa83 5 LIV 2.43±1.29 17.35±5.92 6.66±0.15 0.38±0.01 12.82±0.45 0.030±0.002 0.057±0.001 0.030±0.001 0.0298±0.0017 ScBa84 15 LV 2.14±0.86 23.56±3.33 6.68±0.05 0.40±0.02 12.47±0.29 0.032±0.002 0.057±0.001 0.031±0.001 0.0318±0.0022 ScBa85 14 * 3.92±1.20 29.25±3.40 6.70±0.02 0.38±0.00 12.10±0.16 0.031±0.001 0.057±0.001 0.032±0.001 0.0314±0.0008 ScBa86 6 LVI 1.06±0.15 10.25±1.61 6.73±0.13 0.42±0.01 13.60±0.20 0.031±0.001 0.058±0.002 0.029±0.001 0.0307±0.0011 ScBa87 1 LVII 1.74±0.96 21.21±4.94 6.85±0.07 0.39±0.02 12.54±0.20 0.031±0.002 0.057±0.001 0.031±0.001 0.0311±0.0021 Ital. J. Food Sci., vol 29, 2017 - 532 ScBa88 12 LVIII 2.85±2.21 25.68±9.50 6.64±0.24 0.37±0.02 12.39±0.02 0.029±0.002 0.058±0.003 0.031±0.003 0.0295±0.0016 ScBa89 13 * 2.24±0.24 19.4±0.70 7.12±0.07 0.33±0.02 13.07±0.18 0.025±0.001 0.059±0.001 0.032±0.001 0.0253±0.0009 ScBa90 13 LIX 2.55±0.28 24.87±0.73 7.43±0.20 0.32±0.01 12.29±0.13 0.026±0.001 0.057±0.002 0.034±0.001 0.0258±0.0011 ScBa91 10 LX 2.64±0.41 19.53±1.64 6.36±0.17 0.37±0.01 12.64±0.11 0.029±0.001 0.057±0.001 0.029±0.001 0.0292±0.0007 ScBa92 14 LXI 3.43±2.51 26.05±8.16 6.49±0.02 0.36±0.01 12.06±0.33 0.030±0.001 0.056±0.001 0.030±0.002 0.0301±0.0001 ScBa93 6 LXII 0.67±0.31 6.69±5.00 6.46±0.18 0.21±0.01 13.55±0.34 0.016±0.001 0.057±0.002 0.027±0.001 0.0156±0.0001 ScBa94 5 XX 0.83±0.05 10.16±0.53 6.59±0.05 0.28±0.00 13.46±0.05 0.021±0.001 0.058±0.001 0.028±0.001 0.0205±0.0003 ScBa95 15 LXII 2.42±0.73 24.31±2.48 6.55±0.17 0.37±0.01 12.31±0.24 0.030±0.002 0.057±0.002 0.030±0.001 0.0301±0.0017 ScBa96 12 LIX 3.18±1.87 25.13±5.26 6.67±0.06 0.40±0.02 12.12±0.28 0.033±0.001 0.056±0.001 0.031±0.001 0.0329±0.0007 a Fermentation purity: acetic acid (g/L)/ethanol % (v/v), b Ethanol yield: ethanol % (v/v)/sugar consumption (g/L), c Glycerol yield: glycerol (g/L)/sugar consumption (g/L), d Acetic acid: acetic acid (g/L)/sugar consumption(g/L). Ital. J. Food Sci., vol 29, 2017 - 533 The physiological data from the growth tests at 50 mg/L of SO2 after 24 h (enological conditions, variable: “Ability to grow”), the presence or absence of enzymatic activities (esterase and protease activity), H2S production and the chemical composition (glucose, fructose, malic and acetic acids, glycerol, and ethanol) of the wines obtained after 14 days of fermentation were used to evaluate the technological diversity of the strains. A Principal Component Analysis (PCA) was carried out and the outcome is presented in Fig. 2, including the loadings plot (Fig. 2a) and the scatter plot (Fig. 2b). Figure 2. Principal component analysis of the S. cerevisiae strains from the fifteen vineyards (as reported in Figure 1), according to the wine chemical composition: loadings plot (a) and scatter plot (b). The fifteen vineyard considered were: 1 (Murisengo), 2 (San Martino Alfieri), 3 (Costigliole d'Asti), 4 (Isola d'Asti), 5 (Montegrosso d'Asti), 6 (Agliano Terme), 7 (Vinchio), 8 (Nizza Monferrato),9 (Incisa Scapaccino), 10 (Loazzolo), 11 (Ricaldone), 12 (Alice bel colle), 13 (Acqui Terme Crocera south west), 14 (Acqui Terme Crocera south est) and 15 (Acqui Terme Dannona). Ital. J. Food Sci., vol 29, 2017 - 534 PC1 (35.0 % of variance explained) was better correlated with the strains that left high level of residual sugars present in the wine and that produced high amount of acetic acid, while PC2 (14.4 % of variance explained) was mainly correlated to the high production of glycerol and low degradation of malic acid (Fig. 2a). Two groups may be differentiated according to the scatter plot (PC1 or PC2 with values close or higher than 2, respectively). Some strains from vineyards 4, 13, 14, and 15 produced high glycerol amounts and preserved malic acid contents, and two isolates from vineyards 10 and 12 were unsatisfactory due to their sugars degradation. In addition, all the four isolates from vineyard 9 were present either in the first or in the second group (Fig. 2b). 4. CONCLUSIONS The present study investigated the genetic and technological diversity of autochthonous S. cerevisiae in the North-West of Italy, in the Monferrato area. It was possible to genetically and phenotypically differentiate the strains. In order to investigate the ability of the isolated strains to properly ferment Barbera must, at pilot scale level first and in industrial settings after, relevant technological characteristics, such as sugar consumption and acetic acid production, should be taken into consideration. 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