d-Arabitol production by a high arabitol-producing yeast, Zygosaccharomyces sp. Gz-5 isolated from miso.

d-Arabitol, an alternative sweetener to sugar, has low calorie content, high sweetness, low glycemic index, and insulin resistance-improving ability. In this study, d-arabitol-producing yeast strains were isolated from various commercial types of miso, and strain Gz-5 was selected among these strains. Phylogenetic tree analysis of the internal transcribed spacer sequence revealed that strain Gz-5 was distinct from Zygosaccharomyces rouxii, a major fermenting yeast of miso. The strain, identified as Zygosaccharomyces sp. Gz-5, grew better than other Z. rouxii in 150 g/L NaCl and produced 114 g/L d-arabitol from 295 g/L glucose in a batch culture for 8 days (0.386 g/g-consumed glucose). In a fed-batch culture, the yeast produced 133 g/L d-arabitol for 14 days, and the total d-arabitol amount increased by 1.75-fold. These results indicated that Zygosaccharomyces sp. Gz-5, a non-genetically modified strain, has excellent potential for the industrial production of d-arabitol.

Fruit host-dependent fungal communities in the microbiome of wild Queensland fruit fly larvae.

Bactrocera tryoni (Froggatt), the Queensland fruit fly (Qfly), is a highly polyphagous tephritid fly that is widespread in Eastern Australia. Qfly physiology is closely linked with its fungal associates, with particular relationship between Qfly nutrition and yeast or yeast-like fungi. Despite animal-associated fungi typically occurring in multi-species communities, Qfly studies have predominately involved the culture and characterisation of single fungal isolates. Further, only two studies have investigated the fungal communities associated with Qfly, and both have used culture-dependant techniques that overlook non-culturable fungi and hence under-represent, and provide a biased interpretation of, the overall fungal community. In order to explore a potentially hidden fungal diversity and complexity within the Qfly mycobiome, we used culture-independent, high-throughput Illumina sequencing techniques to comprehensively, and holistically characterized the fungal community of Qfly larvae and overcome the culture bias. We collected larvae from a range of fruit hosts along the east coast of Australia, and all had a mycobiome dominated by ascomycetes. The most abundant fungal taxa belonged to the genera Pichia (43%), Candida (20%), Hanseniaspora (10%), Zygosaccharomyces (11%) and Penicillium (7%). We also characterized the fungal communities of fruit hosts, and found a strong degree of overlap between larvae and fruit host communities, suggesting that these communities are intimately inter-connected. Our data suggests that larval fungal communities are acquired from surrounding fruit flesh. It is likely that the physiological benefits of Qfly exposure to fungal communities is primarily due to consumption of these fungi, not through syntrophy/symbiosis between fungi and insect 'host'.

Zygosaccharomyces seidelii sp. nov. a new yeast species from the Maldives, and a revisit of the single-strain species debate.

Zygosaccharomyces seidelii, a new species in the genus Zygosaccharomyces is described. The description of the species is based on a single strain that was isolated from flowers collected on the Maldives. On this occasion, the description of yeast species from single strains was revisited. Sequence analysis of the D1/D2 domain of the nuclear large subunit rRNA gene revealed that Z. seidelii is closely related to Z. gambellarensis. Both species differ by 2.6% (one indel of 7 bp and 9 substitutions) in the D1/D2 domain, 71 substitutions and 23 indels in the ITS1-5.8S-ITS2 (ITS) region and by several physiological tests. Two divergent copies of the ITS region were detected in Z. seidelii. Asexual and sexual reproduction as well as the physiological properties of Z. seidelii fit well in the genus Zygosaccharomyces. (Holotype strain: CBS 16021, Isotype strain: CLIB 3343; MycoBank no.: MB830900).

Characterizing the metabolites and the microbial communities of the soy sauce mash affected by temperature and hydrostatic pressure.

The effect of hydrostatic pressure (HSP) and constant temperature fermentation (CTF) on the microbial community of soy sauce mash and metabolites (volatile and non-volatile) in raw soy sauce were investigated by multiphase methods. Soy sauce inoculated with yeasts (YG) or a mixture of yeasts and bacteria (MYG) were used in the present research. The results suggested that the effect of HSP resulted in decreasing of fungal community diversity, while CTF caused changes of the evenness of fungi species, which were also confirmed by alpha/beta diversity and clustering analysis. The volatile compounds analysis indicated that the total volatiles decreased by 47.53% in the raw soy sauce fortified by MYG under HSP, while that of organic acids and free amino acids were increased. The effect of CTF on volatile compounds depended on the fortified pattern. The community diversity and metabolite features between fortified and conventional soy sauce were also different.

Head-space gas chromatography coupled to mass spectrometry for the assessment of the contamination of mayonnaise by yeasts.

Head-space (HS) gas chromatography (GC) coupled to mass spectrometry (MS) is proposed for the assessment of the contamination of mayonnaise as an alternative to plate counting, which is the technique commonly used for evaluating microbial contamination. More specifically, this method was applied in the detection of Candida metapsilosis and Zygosaccharomyces bailii, both of great importance in term of food spoilage since they are resistant to many of the common methods of food preservation. Different chemometric models were investigated using the data obtained by GC-MS (m/z profile, area of the chromatographic peaks and entire chromatographic profile), in order to obtain the highest classification success. The best results were obtained using the chromatographic profile (success rate of 92%). Contaminated samples could also be classified according to the concentration of yeast, obtaining a success rate of 87.5%. Finally, a chemometric model was constructed in an attempt to differentiate between strains.

Potential use of electronic tongue coupled with chemometrics analysis for early detection of the spoilage of Zygosaccharomyces rouxii in apple juice.

Apple juice spoilage by Zygosaccharomyces rouxii could scarcely be identified at early stage. It is crucial to recognize the spoilage at early stage to prevent waste of products. In present study, electronic tongue was applied to detect the spoilage of Z. rouxii in apple juice, using taste evaluation by panelists as reference. Combined with linear discriminant analysis, identification of the contaminated juice was fulfilled after 12 h, equivalent to yeast population of less than 2.0 lg colony forming units/mL. At the level, panelists were not capable of discerning the spoilage. Sensors HA, ZZ, BB and BA were relatively more sensitive to the changes in overall taste of apple juice. Moreover, cell number of Z. rouxii could be properly quantified by partial least squares regression models with high determination coefficient of 0.98-0.99. Electronic tongue appears to be a powerful approach to realize early detection of contamination of Z. rouxii.

Fourier Transform Near-Infrared Spectroscopy and Chemometrics To Predict Zygosacchromyces rouxii in Apple and Kiwi Fruit Juices.

This study investigated the capability of near-infrared spectroscopy (NIRS) to predict the concentration of Zygosaccharomyces rouxii in apple and kiwi fruit juices. The yeast was inoculated in fresh kiwi fruit juice ( n = 68), reconstituted kiwi juice ( n = 85), and reconstituted apple juice ( n = 64), followed by NIR spectra collection and plate counting. A principal component analysis indicated direct orthogonal signal correction preprocessing was suitable to separate spectral samples. Parameter optimization algorithms increased the performance of support vector machine regression models developed in a single variety juice system and a multiple variety juice system. Single variety juice models achieved accurate prediction of Z. rouxii concentrations, with the limit of quantification at 3 to 15 CFU/mL ( R2 = 0.997 to 0.999), and the method was also feasible for Hanseniaspora uvarum and Candida tropicalis. The best multiple variety juice model obtained had a limit of quantification of 237 CFU/mL ( R2 = 0.961) for Z. rouxii. A Bland-Altman analysis indicated good agreement between the support vector machine regression model and the plate counting method. It suggests that NIRS can be a high-throughput method for prediction of Z. rouxii counts in kiwi fruit and apple juices.

Variations in mating-type-like (MTL) loci direct PCR-based tracking of Zygosaccharomyces strains formed by mating.

Variations of chromosomal structures and nucleotide sequences around mating-type-like (MTL) loci among Zygosaccharomyces species have been reported. We have analyzed these differences in more detail and, on the basis of PCR- and next-generation sequencing data, we describe the MTL loci on chromosomes C and F for Z. rouxii type-strain NBRC1130, Z. rouxii NBRC0740 and Zygosaccharomyces sp. NBRC1876. We developed a mating strategy for Zygosaccharomyces sp. NBRC1876 and Z. rouxii NBRC0740, and found that the mated stains could be identified from parental strains on the basis of nucleotide sequence variations of the MTL loci. We further obtained evidence that Zygosaccharomyces sp. NBRC1876 is a natural interspecies hybrid between Z. rouxii and a related species.

Yeast Identification During Fermentation of Turkish Gemlik Olives.

Naturally fermented black table olives of the Gemlik variety are one of the most consumed fermented products in Turkey. The objective of this work was to identify yeast strains isolated during their natural fermentation by using Restriction Fragments Lengths Polymorphism-Polimerase Chain Reaction (RFLP-PCR) and DNA sequencing methods. The study also focused on determining the effect of regional differences on yeast microflora of naturally fermented Gemlik olives. A total of 47 yeast strains belonging to 12 different species which had been previously isolated from the natural brine of Akhisar and Iznik-Gemlik cv. olives were characterized by molecular methods. Forty-two of the tested strains could be identified by RFLP-PCR to species level. These yeast species were determined as Candida mycetangi, Candida hellenica, Candida membranaefaciens, Candida famata, Candida pelliculosa, Saccharomyces cerevisiae, and Zygosaccharomyces mrakii. Five strains were identified by DNA sequencing. These strains belonged to three different species: Aureobasidium pullulans, Kloeckera apiculate, and Cryptococcus saitoi. The most frequent species were C. famata and C. pelliculosa in both regions. PRACTICAL APPLICATION: This work studies the yeasts from Turkish table olives which could prove to be of importance to the food industry in that area. On the other hand, it compares identification by molecular and classical biochemical methods and offers an idea about the differences between the ecosystems of Gemlik olives in the Akhisar (AO) and Iznik (IO) regions. The study could be useful in characterizing a very important product and, in this way, could help to promote its marketing.

Social status shapes the bacterial and fungal gut communities of the honey bee.

Despite the fungal abundance in honey and bee bread, little is known about the fungal gut community of the honey bee and its effect on host fitness. Using pyrosequencing of the 16S rRNA gene and ITS2 region amplicons, we analysed the bacterial and fungal gut communities of the honey bee as affected by the host social status. Both communities were significantly affected by the host social status. The bacterial gut community was similar to those characterised in previous studies. The fungal gut communities of most worker bees were highly dominated by Saccharomyces but foraging bees and queens were colonised by diverse fungal species and Zygosaccharomyces, respectively. The high fungal density and positive correlation between Saccharomyces species and Lactobacillus species, known yeast antagonists, were only observed in the nurse bee; this suggested that the conflict between Saccharomyces and Lactobacillus was compromised by the metabolism of the host and/or other gut microbes. PICRUSt analysis revealed significant differences in enriched gene clusters of the bacterial gut communities of the nurse and foraging bees, suggesting that different host social status might induce changes in the gut microbiota, and, that consequently, gut microbial community shifts to adapt to the gut environment.

Evaluation of fingerprinting techniques to assess genotype variation among Zygosaccharomyces strains.

Molecular typing techniques are key tools in surveillance of food spoilage yeasts, in investigations on intra-species population diversity, and in tracing selected starters during fermentation. Unlike previous works on strain typing of Zygosaccharomyces spoilage species, here Zygosaccharomyces mellis and the Zygosaccharoymces rouxii complex yeasts, which include Z. rouxii, Zygosaccharomyces sapae, and a mosaic lineage (ML) of putatively hybrids, were evaluated by three typing methods for intra- and inter-species resolution. Overall these yeasts are relevant for food fermentation and spoilage, but are quite difficult to discriminate at strain and species level as they evolved by reticulation. A pool of 76 strains from different sources were typed by M13 and (GTG)5 MSP-PCR fingerprinting and PCR-RFLP of ribosomal intergenic spacer region (IGS). We demonstrated that M13 overcame (GTG)5 fingerprinting to group Z. sapae, Z. rouxii, Z. mellis and the ML isolates in congruent distinct clusters. Even if (GTG)5 primer yielded a number of DNA fingerprints comparable with those obtained by M13 primer, it failed to discriminate Z. sapae, Z. mellis and Z. rouxii at species level. Clustering of IGS RFLP patterns obtained with three endonucleases produced groups congruent with species assignment and highlighted intra-species diversity similar to that observed by M13 fingerprinting. However, IGS PCR amplification failed for 14 ML and 6 Z. mellis strains under the experimental conditions tested here, indicating that this marker could be less easy to use in fast typing protocol. Finally, our results posit that the genetic diversity within Z. sapae and Z. mellis could be shaped by isolation source. The information generated in this study would facilitate the monitoring of these yeasts during food processing and storage, and provides preliminary evidences about Z. sapae and Z. mellis intra-species diversity.

Segregation of Tetragenococcus halophilus and Zygosaccharomyces rouxii using W1/O/W2 double emulsion for use in mixed culture fermentation.

Antagonism in mixed culture fermentation can result in undesirable metabolic activity and negatively affect the fermentation process. Water-oil-water (W1/O/W2) double emulsions (DE) could be utilized in fermentation for segregating multiple species and controlling their release and activity. Zygosaccharomyces rouxii and Tetragenococcus halophilus, two predominant microbial species in soy sauce fermentation, were incorporated in the internal W1 and external W2 phase of a W1/O/W2, respectively. The suitability of DE for controlling T. halophilus and Z. rouxii in soy sauce fermentation was studied in relation to emulsion stability and microbial release profile. The effects of varying concentrations of Z. rouxii cells (5 and 7logCFU/mL) and glucose (0%, 6%, 12%, 30% w/v) in the W2 phase were investigated. DE stability was determined by monitoring encapsulation stability (%), oil globule size, and microstructure with fluorescence and optical microscopy. Furthermore, the effect of DE on the interaction between T. halophilus and Z. rouxii was studied in Tryptic Soy Broth containing 10% w/v NaCl and 12% w/v glucose and physicochemical changes (glucose, ethanol, lactic acid, and acetic acid) were monitored. DE destabilization resulted in cell release which was proportional to the glucose concentration in W2. Encapsulated Z. rouxii presented higher survival during storage (~3 log). The application of DE affected microbial cells growth and physiology, which led to the elimination of antagonism. These results demonstrate the potential use of DE as a delivery system of mixed starter cultures in food fermentation, where multiple species are required to act sequentially in a controlled manner.

Unraveling microbial ecology of industrial-scale Kombucha fermentations by metabarcoding and culture-based methods.

Kombucha, historically an Asian tea-based fermented drink, has recently become trendy in Western countries. Producers claim it bears health-enhancing properties that may come from the tea or metabolites produced by its microbiome. Despite its long history of production, microbial richness and dynamics have not been fully unraveled, especially at an industrial scale. Moreover, the impact of tea type (green or black) on microbial ecology was not studied. Here, we compared microbial communities from industrial-scale black and green tea fermentations, still traditionally carried out by a microbial biofilm, using culture-dependent and metabarcoding approaches. Dominant bacterial species belonged to Acetobacteraceae and to a lesser extent Lactobacteriaceae, while the main identified yeasts corresponded to Dekkera, Hanseniaspora and Zygosaccharomyces during all fermentations. Species richness decreased over the 8-day fermentation. Among acetic acid bacteria, Gluconacetobacter europaeus, Gluconobacter oxydans, G. saccharivorans and Acetobacter peroxydans emerged as dominant species. The main lactic acid bacteria, Oenococcus oeni, was strongly associated with green tea fermentations. Tea type did not influence yeast community, with Dekkera bruxellensis, D. anomala, Zygosaccharomyces bailii and Hanseniaspora valbyensis as most dominant. This study unraveled a distinctive core microbial community which is essential for fermentation control and could lead to Kombucha quality standardization.

South Brazilian wines: culturable yeasts associated to bottled wines produced in Rio Grande do Sul and Santa Catarina.

A comprehensive understanding of the presence and role of yeasts in bottled wines helps to know and control the organoleptic quality of the final product. The South Region of Brazil is an important wine producer, and the state of "Rio Grande do Sul" (RS) accounts for 90% of Brazilian wines. The state of "Santa Catarina" (SC) started the production in 1975, and is currently the fifth Brazilian producer. As there is little information about yeasts present in Brazilian wines, our main objective was to assess the composition of culturable yeasts associated to bottled wines produced in RS and SC, South of Brazil. We sampled 20 RS and 29 SC bottled wines produced between 2003 and 2011, and we isolated culturable yeasts in non-selective agar plates. We identified all isolates by sequencing of the D1/D2 domain of LSU rDNA or ITS1-5.8 S-ITS2 region, and comparison with type strain sequences deposited in GenBank database. Six yeast species were shared in the final product in both regions. We obtained two spoilage yeast profiles: RS with Zygosaccharomyces bailii and Pichia membranifaciens (Dekkera bruxellensis was found only in specific table wines); and SC with Dekkera bruxellensis and Pichia manshurica. Knowledge concerning the different spoilage profiles is important for winemaking practices in both regions.

Incidence of osmophilic yeasts and Zygosaccharomyces rouxii during the production of concentrate grape juices.

Zygosaccharomyces rouxii is the main spoilage yeast of grape juice concentrates. Detection and identification of Z. rouxii during the production of grape juice concentrate is critical to prevent spoilage in the final product. In this work, three grape juice concentrate processing plants were assessed by identifying osmophilic yeasts in juices and surfaces during different stages of a complete production line. Subsequently, molecular typing of Z. rouxii isolates was done to determine the strain distribution of this spoilage yeast. Osmotolerant yeast species, other than Z. rouxii, were mainly recovered from processing plant environments. Z. rouxii was only isolated from surface samples with grape juice remains. Z. rouxii was largely isolated from grape juice samples with some degree of concentration. Storage of grape juice pre-concentrate and concentrate allowed an increase in the Z. rouxii population. A widely distributed dominant molecular Z. rouxii pattern was found in samples from all three processing plants, suggesting resident microbes inside the plant.

Early detection of Zygosaccharomyces rouxii--spawned spoilage in apple juice by electronic nose combined with chemometrics.

Spoilage spawned by Zygosaccharomyces rouxii can cause sensory defect in apple juice, which could hardly be perceived in the early stage and therefore would lead to the serious economic loss. Thus, it is essential to detect the contamination in early stage to avoid costly waste of products or recalls. In this work the performance of an electronic nose (e-nose) coupled with chemometric analysis was evaluated for diagnosis of the contamination in apple juice, using test panel evaluation as reference. The feasibility of using e-nose responses to predict the spoilage level of apple juice was also evaluated. Coupled with linear discriminant analysis (LDA), detection of the contamination was achieved after 12h, corresponding to the cell concentration of less than 2.0 log 10 CFU/mL, the level at which the test panelists could not yet identify the contamination, indicating that the signals of e-nose could be utilized as early indicators for the onset of contamination. Loading analysis indicated that sensors 2, 6, 7 and 8 were the most important in the detection of Z. rouxii-contaminated apple juice. Moreover, Z. rouxii counts in unknown samples could be well predicted by the established models using partial least squares (PLS) algorithm with high correlation coefficient (R) of 0.98 (Z. rouxii strain ATCC 2623 and ATCC 8383) and 0.97 (Z. rouxii strain B-WHX-12-53). Based on these results, e-nose appears to be promising for rapid analysis of the odor in apple juice during processing or on the shelf to realize the early detection of potential contamination caused by Z. rouxii strains.

Detection of Zygosaccharomyces rouxii and Candida tropicalis in a High-Sugar Medium by a Metal Oxide Sensor-Based Electronic Nose and Comparison with Test Panel Evaluation.

Osmotolerant yeasts are primarily responsible for spoilage of sugar-rich foods. In this work, an electronic nose (e-nose) was used to diagnose contamination caused by two osmotolerant yeast strains (Zygosaccharomyces rouxii and Candida tropicalis) in a high-sugar medium using test panel evaluation as the reference method. Solid-phase microextraction gas chromatography with mass spectrometry (GC-MS) was used to determine the evolution of the volatile organic compound fingerprint in the contaminated samples during yeast growth. Principal component analysis and linear discriminant analysis revealed that the e-nose could identify contamination after 48 h, corresponding to the total yeast levels of 3.68 (Z. rouxii) and 3.09 (C. tropicalis) log CFU/ml. At these levels, the test panel could not yet diagnose the spoilage, indicating that the e-nose approach was more sensitive than the test panel evaluation. Loading analysis indicated that sensors 8 and 6 were the most important for detection of these two yeasts. Based on the result obtained with the e-nose, the incubation time and total yeast levels could be accurately predicted by established multiple regression models with a correlation of greater than 0.97. In the sensory evaluation, spoilage was diagnosed after 72 h in samples contaminated with C. tropicalis and after 48 to 72 h for samples contaminated with Z. rouxii. GC-MS revealed that compounds such as acetaldehyde, acetone, ethyl acetate, alcohol, and 3-methyl-1-butanol contributed to spoilage detection by the e-nose after 48 h. In the high-sugar medium, the e-nose was more sensitive than the test panel evaluation for detecting contamination with these test yeast strains. This information could be useful for developing instruments and techniques for rapid scanning of sugar-rich foods for contamination with osmotolerant yeasts before such spoilage could be detected by the consumer.

Yeast diversity on grapes in two German wine growing regions.

The yeast diversity on wine grapes in Germany, one of the most northern wine growing regions of the world, was investigated by means of a culture dependent approach. All yeast isolates were identified by sequence analysis of the D1/D2 domain of the 26S rDNA and the ITS region. Besides Hanseniaspora uvarum and Metschnikowia pulcherrima, which are well known to be abundant on grapes, Metschnikowia viticola, Rhodosporidium babjevae, and Curvibasidium pallidicorallinum, as well as two potentially new species related to Sporidiobolus pararoseus and Filobasidium floriforme, turned out to be typical members of the grape yeast community. We found M. viticola in about half of the grape samples in high abundance. Our data strongly suggest that M. viticola is one of the most important fermenting yeast species on grapes in the temperate climate of Germany. The frequent occurrence of Cu. pallidicorallinum and strains related to F. floriforme is a new finding. The current investigation provides information on the distribution of recently described yeast species, some of which are known from a very few strains up to now. Interestingly yeasts known for their role in the wine making process, such as Saccharomyces cerevisiae, Saccharomyces bayanus ssp. uvarum, Torulaspora delbrueckii, and Zygosaccharomyces bailii, were not found in the grape samples.

Characterization of Osmotolerant Yeasts and Yeast-Like Molds from Apple Orchards and Apple Juice Processing Plants in China and Investigation of Their Spoilage Potential.

Yeasts and yeast-like fungal isolates were recovered from apple orchards and apple juice processing plants located in the Shaanxi province of China. The strains were evaluated for osmotolerance by growing them in 50% (w/v) glucose. Of the strains tested, 66 were positive for osmotolerance and were subsequently identified by 26S or 5.8S-ITS ribosomal RNA (rRNA) gene sequencing. Physiological tests and RAPD-PCR analysis were performed to reveal the polymorphism of isolates belonging to the same species. Further, the spoilage potential of the 66 isolates was determining by evaluating their growth in 50% to 70% (w/v) glucose and measuring gas generation in 50% (w/v) glucose. Thirteen osmotolerant isolates representing 9 species were obtained from 10 apple orchards and 53 target isolates representing 19 species were recovered from 2 apple juice processing plants. In total, members of 14 genera and 23 species of osmotolerant isolates including yeast-like molds were recovered from all sources. The commonly recovered osmotolerant isolates belonged to Kluyveromyces marxianus, Hanseniaspora uvarum, Saccharomyces cerevisiae, Zygosaccharomyces rouxii, Candida tropicalis, and Pichia kudriavzevii. The polymorphism of isolates belonging to the same species was limited to 1 to 3 biotypes. The majority of species were capable of growing within a range of glucose concentration, similar to sugar concentrations found in apple juice products with a lag phase from 96 to 192 h. Overall, Z. rouxii was particularly the most tolerant to high glucose concentration with the shortest lag phase of 48 h in 70% (w/v) glucose and the fastest gas generation rate in 50% (w/v) glucose.

Dielectrophoresis chips improve PCR detection of the food-spoiling yeast Zygosaccharomyces rouxii in apple juice.

Dielectrophoretic (DEP) manipulation of cells present in real samples is challenging. We show in this work that an interdigitated DEP chip can be used to trap and wash a population of the food-spoiling yeast Zygosaccharomyces rouxii that contaminates a sample of apple juice. By previously calibrating the chip, the yeast population loaded is efficiently trapped, washed, and recovered in a small-volume fraction that, in turn, can be used for efficient PCR detection of this yeast. DEP washing of yeast cells gets rid of PCR inhibitors present in apple juice and facilitates PCR analysis. This and previous works on the use of DEP chips to improve PCR analysis show that a potential use of DEP is to be used as a treatment of real samples prior to PCR.