Identifizierung, Quantifizierung und Hemmung von ausgewählten Hefen im Wein

Hefen stellen einen großen und wichtigen Teil der Mikrobiota während der Weinbereitung dar, da ohne ihre alkoholische Fermentation die Umwandlung von Most und Wein nicht möglich wäre. Ferner ist es ihre Vielzahl an Stoffwechselprodukten, die dem Aroma des fertigen Weines eine zusätzliche Komplexität verleihen. Auf der anderen Seite steht durch den Metabolismus verschiedenster so genannter Wildhefen die Gefahr von Qualitätsabstufungen der Weine, was allgemein als „Weinfehler“ betrachtet wird. Ziel dieser Arbeit war zum einen die taxonomische Einordnung von Saccharomyces-Spezies, sowie die Quantifizierung und Hemmung von ausgewählten Wildhefen während der Weinbereitung.rnEin Teil dieser Arbeit umfasste die Identifizierung der nahverwandten Mitglieder der Saccharomyces sensu stricto-Gruppe. Durch den Einsatz des DNA-Fingerpinting-Systems SAPD-PCR konnten alle die Gruppe umfassenden Spezies anhand spezifischer Bandenmuster nachgewiesen werden, wodurch eine Einordnung dieser schwer zu differenzierenden Arten möglich war. Die Differenzierung zwischen den einzelnen Spezies war in jedem Fall deutlicher als dies die Sequenzierung der 5.8S rDNA und ihre flankierenden ITS-Regionen vermochte. Die SAPD-PCR zeichnete sich zudem durch eine geringe Muster-Varianz bei verschiedenen Stämmen einer Art aus und konnte zuverlässig unbekannte Stämme bestimmen und bereits hinterlegte Stämme neu klassifizieren. Zudem konnte mit Hilfe dieses Systems Hybride aus Saccharomyces cerevisiae und S. bayanus bzw. S. cerevisiae und S. kudriavzevii detektiert werden, wenn diese Hybride aus relativ gleichen genomischen Anteilen der Eltern bestanden. rnZusätzlich wurde ein quantitatives PCR-System entwickelt, um die Gattungen Saccharomyces, Hanseniaspora und Brettanomyces in Most und Wein detektieren und quantifizieren zu können. Die hierfür entwickelten Primer zeigten sich spezifisch für die untersuchten Arten. Durch die serielle Verdünnung definierter DNA-Mengen konnte für alle drei Systeme eine Kalibrierungskurve erstellt werden, mit Hilfe derer die tatsächlichen Quantifizierungen durchgeführt wurden. Die qPCR-Analyse lieferte ähnliche Zellzahlen wie Lebendzellzahl-Bestimmungen und wurde nicht von anderen Spezies und von Traubensaft gestört. Die maximal detektierbare Zellzahl betrug 2 x 107 Zellen/ml, während die minimale Detektionsgrenze je nach Art zwischen 1 x 102 Zellen/ml und 1 x 103 Zellen/ml lag. Allerdings konnte eine effektive DNA-Isolierung dieser geringen Zellzahlen nur erreicht werden, wenn die Zellzahl durch artfremde Hefen künstlich erhöht wurde. Die Analyse einer Most-Vergärung mit den drei Spezies zeigte schlussendlich, dass die quantitative PCR sicher und schnell Veränderungen und Sukzessionen detektiert und so ein geeignetes Mittel darstellt, um Populationsdynamiken während der Weinherstellung zu beobachten. rnDer letzte Teil dieser Arbeit befasste sich mit der Inhibierung von Schadhefen durch zellwand-hydrolysierende Enzyme. Es konnte hierbei eine endoglykosidisch wirkende β-1,3-Glucanase aus dem Bakterium Delftia tsuruhatensis isoliert werden. Diese besaß eine ungefähre Masse von 28 kDa, einen isolektrischen Punkt von ca. 4,3 und wirkte mit einer spezifischen Aktivität von 10 U/mg Protein gegen das Glucan Laminarin. Zudem zeigte das Enzym ein Temperaturoptimum von 50 °C und ein pH-Optimum bei pH 4,0. Weinparameter wie erhöhte Konzentrationen an Ethanol, Phenolen und Sulfit beeinflussten die Wirkung des Enzyms nicht oder nur wenig. Neben der allgemeinen Wirkung gegen β-1,3-Glucane konnte hier auch gezeigt werden, dass ebenso gut die β-1,3-Glucane in der Zellwand verschiedener Hefen hydrolysiert wurden. Fluoreszenz- und rasterelektronen-mikroskopische Aufnahmen von Hefezellen nach Inkubation mit der β-1,3-Glucanase zeigten zusätzlich die Zerstörung der Zelloberfläche der Hefen. Die lytische Wirkung des Enzyms wurde an verschiedenen weintypischen Hefen getestet. Hierbei zeigten sich stammspezifische Unterschiede in der Sensitivität gegenüber dem Enzym. Außerdem konnte festgestellt werden, dass sowohl Wachstumsphase als auch Medium der Hefen Einfluss auf deren Zellwand hat und somit auch auf die Wirkung des Enzyms.rn

The osmoadaptive response of the wine yeast Saccharomyces cerevisiae K1-V1116 during icewine fermentation

The adapted metabolic response of commercial wine yeast under prolonged exposure to concentrated solutes present in Icewine juice is not fully understood. Presently, there is no information regarding the transcriptomic changes in gene expression associated with the adaptive stress response ofwine yeast during Icewine fermentation compared to table wine fermentation. To understand how and why wine yeast respond differently at the genomic level and ultimately at the metabolic level during Icewine fermentation, the focus ofthis project was to identify and compare these differences in the wine yeast Saccharomyces cerevisiae KI-Vll16 using cDNA microarray technology during the first five days of fermentation. Significant differences in yeast gene expression patterns between fermentation conditions were correlated to differences in nutrient utilization and metabolite production. Sugar consumption, nitrogen usage and metabolite levels were measured using enzyme assays and HPLC. Also, a small subset of differentially expressed genes was verified using Northern analysis. The high osmotic stress experienced by wine yeast throughout Icewine fermentation elicited changes in cell growth and metabolism correlating to several fermentation difficulties, including reduced biomass accumulation and fermentation rate. Genes associated with carbohydrate and nitrogen transport and metabolism were expressed at lower levels in Icewine juice fermenting cells compared to dilute juice fermenting cells. Osmotic stress, not nutrient availability during Icewine fermentation appears to impede sugar and nitrogen utilization. Previous studies have established that glycerol and acetic acid production are increased in yeast during Icewine fermentation. A gene encoding for a glycerollW symporter (STL1) was found to be highly expressed up to 25-fold in the i Icewine juice condition using microarray and Northern analysis. Active glycerol transport by yeast under hyperosmotic conditions to increase cytosolic glycerol concentration may contribute to reduced cell growth observed in the Icewine juice condition. Additionally, genes encoding for two acetyl CoA synthetase isoforms (ACSl and ACS2) were found to be highly expressed, 19- and II-fold respectively, in dilute juice fermenting cells relative to the Icewine juice condition. Therefore, decreased conversion of acetate to acetyl-CoA may contribute to increased acetic acid production during Icewine fermentation. These results further help to explain the response of wine yeast as they adapt to Icewine juice fermentation. ii

Searching for novel gene functions in yeast : identification of thousands of novel molecular interactions by protein-fragment complementation assay followed by automated gene function prediction and high-throughput lipidomics

La compréhension de processus biologiques complexes requiert des approches expérimentales et informatiques sophistiquées. Les récents progrès dans le domaine des stratégies génomiques fonctionnelles mettent dorénavant à notre disposition de puissants outils de collecte de données sur l’interconnectivité des gènes, des protéines et des petites molécules, dans le but d’étudier les principes organisationnels de leurs réseaux cellulaires. L’intégration de ces connaissances au sein d’un cadre de référence en biologie systémique permettrait la prédiction de nouvelles fonctions de gènes qui demeurent non caractérisées à ce jour. Afin de réaliser de telles prédictions à l’échelle génomique chez la levure Saccharomyces cerevisiae, nous avons développé une stratégie innovatrice qui combine le criblage interactomique à haut débit des interactions protéines-protéines, la prédiction de la fonction des gènes in silico ainsi que la validation de ces prédictions avec la lipidomique à haut débit. D’abord, nous avons exécuté un dépistage à grande échelle des interactions protéines-protéines à l’aide de la complémentation de fragments protéiques. Cette méthode a permis de déceler des interactions in vivo entre les protéines exprimées par leurs promoteurs naturels. De plus, aucun biais lié aux interactions des membranes n’a pu être mis en évidence avec cette méthode, comparativement aux autres techniques existantes qui décèlent les interactions protéines-protéines. Conséquemment, nous avons découvert plusieurs nouvelles interactions et nous avons augmenté la couverture d’un interactome d’homéostasie lipidique dont la compréhension demeure encore incomplète à ce jour. Par la suite, nous avons appliqué un algorithme d’apprentissage afin d’identifier huit gènes non caractérisés ayant un rôle potentiel dans le métabolisme des lipides. Finalement, nous avons étudié si ces gènes et un groupe de régulateurs transcriptionnels distincts, non préalablement impliqués avec les lipides, avaient un rôle dans l’homéostasie des lipides. Dans ce but, nous avons analysé les lipidomes des délétions mutantes de gènes sélectionnés. Afin d’examiner une grande quantité de souches, nous avons développé une plateforme à haut débit pour le criblage lipidomique à contenu élevé des bibliothèques de levures mutantes. Cette plateforme consiste en la spectrométrie de masse à haute resolution Orbitrap et en un cadre de traitement des données dédié et supportant le phénotypage des lipides de centaines de mutations de Saccharomyces cerevisiae. Les méthodes expérimentales en lipidomiques ont confirmé les prédictions fonctionnelles en démontrant certaines différences au sein des phénotypes métaboliques lipidiques des délétions mutantes ayant une absence des gènes YBR141C et YJR015W, connus pour leur implication dans le métabolisme des lipides. Une altération du phénotype lipidique a également été observé pour une délétion mutante du facteur de transcription KAR4 qui n’avait pas été auparavant lié au métabolisme lipidique. Tous ces résultats démontrent qu’un processus qui intègre l’acquisition de nouvelles interactions moléculaires, la prédiction informatique des fonctions des gènes et une plateforme lipidomique innovatrice à haut débit , constitue un ajout important aux méthodologies existantes en biologie systémique. Les développements en méthodologies génomiques fonctionnelles et en technologies lipidomiques fournissent donc de nouveaux moyens pour étudier les réseaux biologiques des eucaryotes supérieurs, incluant les mammifères. Par conséquent, le stratégie présenté ici détient un potentiel d’application au sein d’organismes plus complexes.

Isolation and molecular identification of wine yeasts from a Brazilian vineyard

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Isolation of culturable yeasts from market wines and evaluation of the 5 center dot 8S-ITS rDNA sequence analysis for identification purposes

Aims: To test the possibility that wines available in the marketplace may contain culturable yeasts and to evaluate the 5.8S-ITS rDNA sequence analysis as adequate means for the identification of isolates. Methods and Results: As a case study, typical Greek wines were surveyed. Sequence analysis of the 5.8S-ITS rDNA was tested for its robustness in species or strain identification. Sixteen isolates could be assigned into the species Brettanomyces bruxellensis, Saccharomyces cerevisiae and Rhodotorula pinicola, whereas four isolates could not be safely identified. B. bruxellensis was the dominant species present in house wines, while non-Saccharomyces sp. were viable in aged wines of high alcohol content. Conclusions: Yeast population depends on postfermentation procedures or storage conditions. Although 5.8S-ITS rDNA sequence analysis is generally a rapid method to identify wine yeast isolates at the species level, or even below that, it may not be sufficient for some genera. Significance and Impact of the Study: This is the first report to show that commercial wines may possess diverse and potentially harmful yeast populations. The knowledge of yeasts able to reside in this niche environment is essential towards integrated quality assurance programmes. For selected species, the 5.8S-ITS rDNA sequence analysis is a rapid and accurate means.

Identification and characterization of DdRPB4, a subunit of Dictyostelium discoideum RNA polymerase II

Rpb4, the fourth largest subunit of the eukaryotic RNA polymerase II (RNAPII), is required for growth at extreme temperatures and for an appropriate response to nutrient starvation in yeast. Sequence homologs of Rpb4 are found in most sequenced genomes from yeast to humans. To elucidate the role of this subunit in nutrient starvation, we chose Dictyostelium discoideum, a soil amoeba, which responds to nutrient deprivation by undergoing a complex developmental program. Here we report the identification of homolog of Saccharomyces cerevisiae RPB4 in D. discoideum. Localization and complementation studies suggest that Rpb4 is functionally conserved. DdRPB4 transcript and protein levels are developmentally regulated. Although DdRPB4 could not be deleted, overexpression revealed that the Rpb4 protein is essential for cell survival and is regulated stringently at the post-transcriptional level in D. discoideum. Thus maintaining a critical level of Rpb4 is important for this organism.

Identification of Specific DNA Binding Residues in the TCP Family of Transcription Factors in Arabidopsis

The TCP transcription factors control multiple developmental traits in diverse plant species. Members of this family share an similar to 60-residue-long TCP domain that binds to DNA. The TCP domain is predicted to form a basic helix-loop-helix ( bHLH) structure but shares little sequence similarity with canonical bHLH domain. This classifies the TCP domain as a novel class of DNA binding domain specific to the plant kingdom. Little is known about how the TCP domain interacts with its target DNA. We report biochemical characterization and DNA binding properties of a TCP member in Arabidopsis thaliana, TCP4. We have shown that the 58-residue domain of TCP4 is essential and sufficient for binding to DNA and possesses DNA binding parameters comparable to canonical bHLH proteins. Using a yeast-based random mutagenesis screen and site-directed mutants, we identified the residues important for DNA binding and dimer formation. Mutants defective in binding and dimerization failed to rescue the phenotype of an Arabidopsis line lacking the endogenous TCP4 activity. By combining structure prediction, functional characterization of the mutants, and molecular modeling, we suggest a possible DNA binding mechanism for this class of transcription factors.

Inhibition of progesterone receptor activity in recombinant yeast by soot from fossil fuel combustion emissions and air particulate materials

Numerous environmental pollutants have been detected for estrogenic activity by interacting with the estrogen receptor, but little information is available about their interactions with the progesterone receptor. In this study, emission samples generated by fossil fuel combustion (FFC) and air particulate material (APM) collected from an urban location near a traffic line in a big city of China were evaluated to interact with the human progesterone receptor (hPR) signaling pathway by examining their ability to interact with the activity of hPR expressed in yeast. The results showed that the soot of a petroleum-fired vehicle possessed the most potent anti-progesteronic activity, that of coal-fired stove and diesel fired agrimotor emissions took the second place, and soot samples of coal-fired heating work and electric power station had lesser progesterone inhibition activity. The anti-progesteronic activity of APM was between that of soot from petroleum-fired vehicle and soot from coal-fired establishments and diesel fired agrimotor. Since there was no other large pollution source near the APM sampling sites, the endocrine disrupters were most likely from vehicle emissions, tire attrition and house heating sources. The correlation analysis showed that a strong relationship existed between estrogenic activity and anti-progesteronic activity in emissions of fossil fuel combustion. The discoveries that some environmental pollutants with estrogenic activity can also inhibit OR activity indicate that further studies are required to investigate potential mechanisms for the reported estrogenic activities of these pollutants. (c) 2005 Elsevier B.V. All rights reserved.

The role of Stl1p in glycerol accumulation in osmotically stressed icewine yeast Saccharomyces cerevisiae K1 V1116

The high sugar concentration in Icewine juice exerts hyperosmotic stress in the wine yeast causing water loss and cell shrinkage. To counteract the dehydration, yeast synthesize and accumulate glycerol as an internal osmolyte. In a laboratory strain of S. cerevisiae, STLl encodes for Stllp, an H+ /glycerol symporter that is glucose inactivated, but induced upon hyperosmotic stress. STLl, was found to be a highly upregulated gene in Icewine fermenting cells and its expression was 25-fold greater than in yeast cells fermenting diluted Icewine juice, making it one of the most differentially expressed genes between the two fermentation conditions. In addition, Icewine fermenting cells showed a two-fold higher glycerol production in the wine compared to yeast fermenting diluted Icewine juice. We proposed that Stllp is (1) active during Icewine fermentation and is not glucose inactivated and (2) its activity contributes to the limited cell growth observed during Icewine fermentation as a result of the dissipation of the plasma membrane proton gradient. To measure the contribution ofStl1p in active glycerol transport (energy dependent) during Icewine fermentation, we first developed an Stllp-dependent (14C]glycerol uptake assay using a laboratory strain of S. cerevisiae (BY 4742 and LiSTLl) that was dependent on the plasma membrane proton gradient and therefore energy-dependent. Wine yeast K1-Vll16 was also shown to have this energy dependent glycerol uptake induced under salt stress. The expression of STLl and Stllp activity were compared between yeast cells harvested from Icewine and diluted Icewine fermentations. Northern blot analysis revealed that STLl was expressed in cells fermenting Icewine juice but not expressed under the diluted juice conditions. Glycerol uptake by cells fermenting Icewine juice was not significantly different than cells fermenting diluted Icewine juice on day 4 and day 7 of Vidal and Riesling fermentations respectively, despite encountering greater hyperosmotic stress. Furthermore, energy- dependent glycerol uptake was not detected under either fermentation conditions. Because our findings show that active glycerol uptake was not detected in yeast cells harvested from Icewine fermentation, it is likely that Stllp was glucose inactivated despite the hyperosmotic stress induced by the Icewine juice and therefore did not play a role in active glycerol uptake during Icewine fermentation.

Yeast biodiversity from oleic ecosystems: Study of their biotechnological properties

The aim of this study was to know the yeast biodiversity from fresh olive (Olea europaea L.) fruits, olive paste (crush olives) and olive pomace (solid waste) from Arbequina and Cornicabra varieties. Yeasts were isolated from fruits randomly harvested at various olive groves in the region of Castilla La Mancha (Spain). Olive paste and pomace, a byproduct of the processing of this raw material, were also collected in sterile flasks from different oil mills. Molecular identification methodology used included comparison of polymerase chain reaction (PCR) amplicons of their 5.8S rRNA gene and internal transcribed spacers ITS1 and ITS2 followed by restriction pattern analysis (RFLP). For some species, sequence analysis of the 5.8S rDNA gene was necessary. The results were compared to sequences held in public databases (BLAST). These techniques allowed to identify fourteen different species of yeasts, belonging to seven different genera (Zygosaccharomyces, Pichia, Lachancea, Kluyveromyces, Saccharomyces, Candida, Torulaspora) from the 108 yeast isolates. Species diversity was thus considerable: Pichia caribbica, Zygosaccharomyces fermentati (Lachancea fermentati) and Pichia holstii (Nakazawaea holstii) were the most commonly isolated species, followed by Pichia mississippiensis, Lachancea sp., Kluyveromyces thermotolerans and Saccharomyces rosinii. The biotechnological properties of these isolates, was also studied. For this purpose, the activity of various enzymes (beta-glucosidase, beta-glucanase, carboxymethylcellulase, polygalacturonase, peroxidase and lipase) was evaluated. It was important that none of species showed lipase activity, a few had cellulase and polygalacturonase activities and the majority of them presented beta-glucanase, beta-glucosidase and peroxidase activities. (C) 2010 Elsevier Ltd. All rights reserved.

Isolation and identification of black yeasts by enrichment on atmospheres of monoaromatic hydrocarbons

Black yeast members of the Herpotrichiellaceae present a complex ecological behavior: They are often isolated from rather extreme environments polluted with aromatic hydrocarbons, while they are also regularly involved in human opportunistic infections. A selective technique to promote the in vitro growth of herpotrichiellaceous fungi was applied to investigate their ecophysiology. Samples from natural ecological niches and man-made environments that might contain black yeasts were enriched on an inert solid support at low humidity and under a controlled atmosphere rich in volatile aromatic hydrocarbons. Benzene, toluene, and xylene were provided separately as the sole carbon and energy source via the gas phase. The assayed isolation protocol was highly specific toward mesophilic Exophiala species (70 strains of this genus out of 71 isolates). Those were obtained predominantly from creosote-treated railway ties (53 strains), but isolates were also found on wild berries (11 strains) and in guano-rich soil samples (six strains). Most of the isolates were obtained on toluene (43 strains), but enrichments on xylene and benzene also yielded herpotrichiellaceous fungi (17 and 10 isolates, respectively). Based upon morphological characterizations and DNA sequences of the full internal transcriber spacers (ITS) and the 8.5S rRNA genes, the majority of the obtained isolates were affiliated to the recently described species Exophiala xenobiotica (32 strains) and Exophiala bergeri (nine strains). Members of two other phylogenetic groups (24 and two strains, respectively) somewhat related to E. bergeri were also found, and a last group (three strains) corresponded to an undescribed Exophiala species. © 2010 The Author(s).

Growth inhibition of human promonocytic leukaemic U937 cells by interferon gamma is irreversible and not cell cycle phase-specific.

Growth of human promonocytic leukaemic U937 cells was found arrested within 24 h upon exposure to interferon gamma (IFN-gamma). Removal of the interferon did not result in the resumption of growth, as is evident from the absence of doubling of viable cell count and(3)H-thymidine incorporation. 5-Bromo-2'-deoxyuridine-based flow cytometric analysis of the growth-arrested cells, 24 h subsequent to the removal of IFN-gamma, showed absence of DNA synthesis, confirming the irreversible nature of the growth inhibition. Propidium iodide-based flow cytometric analysis of the growth-arrested cells showed a distribution which is typical of a growth inhibition without resulting in the accumulation of cells in any specific phase of the cell cycle. These results indicated that IFN-gamma arrested growth of U937 cells in an irreversible and cell cycle phase-independent manner. These observations were in contrast to our earlier report on the reversible and cell cycle phase-specific growth inhibition of human amniotic (fetal epithelial) WISH cells by the interferon. Copyright 1999 Academic Press.

Selective inhibition of IFNG-induced autophagy by Mir155- and Mir31-responsive WNT5A and SHH signaling

Autophagy is one of the major immune mechanisms engaged to clear intracellular infectious agents. However, several pathogens have evolved strategies to evade autophagy. Here, we demonstrated that Mycobacteria, Shigella, and Listeria but not Klebsiella, Staphylococcus, and Escherichia inhibit IFNG-induced autophagy in macrophages by evoking selective and robust activation of WNT and SHH pathways via MTOR. Utilization of gain- or loss-of-function analyses as well as mir155-null macrophages emphasized the role of MTOR-responsive epigenetic modifications in the induction of Mir155 and Mir31. Importantly, cellular levels of PP2A, a phosphatase, were regulated by Mir155 and Mir31 to fine-tune autophagy. Diminished expression of PP2A led to inhibition of GSK3B, thus facilitating the prolonged activation of WNT and SHH signaling pathways. Sustained WNT and SHH signaling effectuated the expression of anti-inflammatory lipoxygenases, which in tandem inhibited IFNG-induced JAK-STAT signaling and contributed to evasion of autophagy. Altogether, these results established a role for new host factors and inhibitory mechanisms employed by the pathogens to limit autophagy, which could be targeted for therapeutic interventions.

Identification and molecular evolution of cow CENP-A gene family

The centromere protein A (CENP-A), a histone H3-like protein, provides an essential role for chromosomal segregation during mitosis and meiosis. In this study we identified ten new CENP-A-like genes (excluding the original CENP-A gene) in cow by searching

Identification and characterization of insect-specific proteins by genome data analysis

Background: Insects constitute the vast majority of known species with their importance including biodiversity, agricultural, and human health concerns. It is likely that the successful adaptation of the Insecta clade depends on specific components in its