Molecular Detection and Identification of Brettanomyces/Dekkera bruxellensis and Brettanomyces/Dekkera anomalus in Spoiled Wines

In this paper we describe the development of a PCR protocol to specifically detect Brettanomyces bruxellensis and B. anomalus. Primers DB90F and DB394R, targeting the D1-D2 loop of the 26S rRNA gene, were able to produce amplicons only when the DNA from these two species were used. No amplification product was obtained when DNA from other Brettanomyces spp. or wine yeasts were used as the templates. The 305-bp product was subjected to restriction enzyme analysis with DdeI to differentiate between B. bruxellensis and B. anomalus, and each species could be identified on the basis of the different restriction profiles. After optimization of the method by using strains from international collections, wine isolates were tested with the method proposed. Total agreement between traditional identification and molecular identification was observed. The protocol developed was also used for direct detection of B. bruxellensis and B. anomalus in wines suspected to be spoiled by Brettanomyces spp. Application of culture-based and molecular methods led us to the conclusion that 8 of 12 samples were spoiled by B. bruxellensis. Results based on the application of molecular methods suggested that two of the eight positive samples had been infected more recently, since specific signals were obtained at both the DNA and RNA levels.     

Molecular detection and identification of Brettanomyces/Dekkera bruxellensis and Brettanomyces/Dekkera anomalus in spoiled wines

In this paper we describe the development of a PCR protocol to specifically detect Brettanomyces bruxellensis and B. anomalus. Primers DB90F and DB394R, targeting the D1-D2 loop of the 26S rRNA gene, were able to produce amplicons only when the DNA from these two species were used. No amplification product was obtained when DNA from other Brettanomyces spp. or wine yeasts were used as the templates. The 305-bp product was subjected to restriction enzyme analysis with DdeI to differentiate between B. bruxellensis and B. anomalus, and each species could be identified on the basis of the different restriction profiles. After optimization of the method by using strains from international collections, wine isolates were tested with the method proposed. Total agreement between traditional identification and molecular identification was observed. The protocol developed was also used for direct detection of B. bruxellensis and B. anomalus in wines suspected to be spoiled by Brettanomyces spp. Application of culture-based and molecular methods led us to the conclusion that 8 of 12 samples were spoiled by B. bruxellensis. Results based on the application of molecular methods suggested that two of the eight positive samples had been infected more recently, since specific signals were obtained at both the DNA and RNA levels.     

Real-Time PCR Assay for Detection and Enumeration of Dekkera bruxellensis in Wine

Traditional methods to detect the spoilage yeast Dekkera bruxellensis from wine involve lengthy enrichments. To overcome this difficulty, we developed a quantitative real-time PCR method to directly detect and enumerate D. bruxellensis in wine. Specific PCR primers to D. bruxellensis were designed to the 26S rRNA gene, and nontarget yeast and bacteria common to the winery environment were not amplified. The assay was linear over a range of cell concentrations (6 log units) and could detect as little as 1 cell per ml in wine. The addition of large amounts of nontarget yeasts did not impact the efficiency of the assay. This method will be helpful to identify possible routes of D. bruxellensis infection in winery environments. Moreover, the time involved in performing the assay (3 h) should enable winemakers to more quickly make wine processing decisions in order to reduce the threat of spoilage by D. bruxellensis.     

Real-time PCR assay for detection and enumeration of Dekkera bruxellensis in wine

Traditional methods to detect the spoilage yeast Dekkera bruxellensis from wine involve lengthy enrichments. To overcome this difficulty, we developed a quantitative real-time PCR method to directly detect and enumerate D. bruxellensis in wine. Specific PCR primers to D. bruxellensis were designed to the 26S rRNA gene, and nontarget yeast and bacteria common to the winery environment were not amplified. The assay was linear over a range of cell concentrations (6 log units) and could detect as little as 1 cell per ml in wine. The addition of large amounts of nontarget yeasts did not impact the efficiency of the assay. This method will be helpful to identify possible routes of D. bruxellensis infection in winery environments. Moreover, the time involved in performing the assay (3 h) should enable winemakers to more quickly make wine processing decisions in order to reduce the threat of spoilage by D. bruxellensis.     

Genome-wide gene expression profiles in response to plastid division perturbations

Plastids are vital organelles involved in important metabolic functions that directly affect plant growth and development. Plastids divide by binary fission involving the coordination of numerous protein components. A tight control of the plastid division process ensures that: there is a full plastid complement during and after cell division, specialized cell types have optimal plastid numbers; the division rate is modulated in response to stress, metabolic fluxes and developmental status. However, how this control is exerted by the host nucleus is unclear. Here, we report a genome-wide microarray analysis of three accumulation and replication of chloroplasts (arc) mutants that show a spectrum of altered plastid division characteristics. To ensure a comprehensive data set, we selected arc3, arc5 and arc11 because they harbour mutations in protein components of both the stromal and cytosolic division machinery, are of different evolutionary origin and display different phenotypic severities in terms of chloroplast number, size and volume. We show that a surprisingly low number of genes are affected by altered plastid division status, but that the affected genes encode proteins important for a variety of fundamental plant processes.     

Study of the coumarate decarboxylase and vinylphenol reductase activities of Dekkera bruxellensis (anamorph Brettanomyces bruxellensis) isolates

Aim:  To evaluate the coumarate descarboxylase (CD) and vinylphenol reductase (VR) activities in Dekkera bruxellensis isolates and study their relationship to the growth rate, protein profile and random amplified polymorphic DNA (RAPD) molecular pattern.
Methods and Results:  CD and VR activities were quantified, as well, the growth rate, intracellular protein profile and molecular analysis (RAPD) were determined in 12 isolates of D. bruxellensis . All the isolates studied showed CD activity, but only some showed VR activity. Those isolates with the greatest growth rate did not present a different protein profile from the others. The FASC showed a relationship between RAPD molecular patterns and VR activity.
Conclusion:  CD activity is common to all of the D. bruxellensis isolates. This was not the case with VR activity, which was detected at a low percentage in the analysed micro-organisms. A correlation was observed between VR activity and the RAPD patterns.
Significance and Impact of the Study:  This is the first study that quantifies the CD and VR enzyme activities in D. bruxellensis, demonstrating that these activities are not present in all isolates of this yeast.     

Natural variation of Arabidopsis response to nitrogen availability

Our understanding of plant growth in response to nitrogen (N) supply is mainly based on studies of mutants and transformants. This study explored the natural variability of Arabidopsis thaliana first to find out its global response to N availability and secondly to characterize the plasticity for growth and N metabolism among 23 genetically distant accessions under normal (N+), limited (N-), and starved (N0) N supplies. Plant growth was estimated by eight morphological traits characterizing shoot and root growth and 10 metabolic parameters that represented N and carbon metabolism. Most of the studied traits showed a large variation linked to genotype and nutrition. Furthermore, Arabidopsis growth was coordinated by master traits such as the shoot to root ratio of nitrate content in N+, root fresh matter and root amino acids in N-, and shoot fresh matter together with root thickness in N0. The 23 accessions could be gathered into four different groups, according to their growth in N+, N-, and N0. Phenotypic profiling characterized four different adaptative responses to N- and N0. Class 1 tolerated N limitation with the smallest decrease in shoot and root biomass compared with N+, while class 2 presented the highest resistance to N starvation by preferential increased root growth, huge starch accumulation, and high shoot nitrate content. In contrast, class 3 plants could tolerate neither N limitation nor N starvation. Small plants of class 4 were different, with shoot biomass barely affected in N- and root biomass unaffected in N0.     

The yeast Dekkera bruxellensis genome contains two orthologs of the ARO10 gene encoding for phenylpyruvate decarboxylase

The yeast Dekkera bruxellensis possesses important physiological traits that enable it to grow in industrial environments as either spoiling yeast of wine production or a fermenting strain used for lambic beer, or fermenting yeast in the bioethanol production process. In this work, in silico analysis of the Dekkera genome database allowed the identification of two paralogous genes encoding for phenylpyruvate decarboxylase (DbARO10) that represents a unique trait among the hemiascomycetes. The molecular analysis of the theoretical protein confirmed its protein identity. Upon cultivation of the cell in medium containing phenylpyruvate, both increases in gene expression and in phenylpyruvate decarboxylase activity were observed. Both genes were differentially expressed depending on the culture condition and the type of metabolism, which indicated the difference in the biological function of their corresponding proteins. The importance of the duplicated DbARO10 genes in the D. bruxellensis genome was discussed and represents the first effort to understand the production of flavor by this yeast.     

Growth and volatile compound production by Brettanomyces/Dekkera bruxellensis in red wine

Aims:  Brettanomyces / Dekkera bruxellensis is a particularly troublesome wine spoilage yeast. This work was aimed at characterizing its behaviour in terms of growth and volatile compound production in red wine.
Methods and Results:  Sterile red wines were inoculated with 5 × 10³ viable cells ml⁻¹ of three B. bruxellensis strains and growth and volatile phenol production were followed for 1 month by means of plate counts and gas chromatography-mass spectrometry (GC-MS) respectively. Maximum population levels generally attained 10⁶–10⁷ colony forming units (CFU) ml⁻¹ and volatile phenol concentrations ranged from 500 to 4000 μg l⁻¹. Brettanomyces bruxellensis multiplication was also accompanied by the production of organic acids (from C₂ to C₁₀), short chain acid ethyl-esters and the 'mousy off-flavour' component 2-acetyl-tetrahydropyridine.
Conclusions:  Different kinds of 'Brett character' characterized by distinct metabolic and sensory profiles can arise in wine depending on the contaminating strain, wine pH and sugar content and the winemaking stage at which contamination occurs.
Significance and Impact of the Study:  We identified new chemical markers that indicate wine defects caused by B. bruxellensis. Further insight was provided into the role of some environmental conditions in promoting wine spoilage.     

Prediction of treatment response using gene expression profiles

This paper concerns prediction of clinical outcome from gene expression profiles using work in a different area, nonlinear system identification. In particular, the approach can predict long-term treatment response from data of a landmark article by Golub et al. (Golub, T. R.; Slonim, D. K.; Tamayo, P.; Huard, C.; Gaasenbeek, M.; Mesirov, J. P. et al. Science 1999, 286, 531-537) that has not previously been achieved with these data. The present paper shows that, for these data, gene expression profiles taken at time of diagnosis of acute myeloid leukemia contain information predictive of eventual response to chemotherapy. This was not evident in previous work; indeed, the Golub et al. article did not find a set of genes strongly correlated with clinical outcome. However, the present approach can accurately predict outcome class of gene expression profiles even when the genes do not have large differences in expression levels between the classes.     

Complex Nature of the Genome in a Wine Spoilage Yeast,Dekkera bruxellensis

When the genome organizations of 30 native isolates belonging to a wine spoilage yeast, Dekkera (Brettanomyces) bruxellensis, a distant relative of Saccharomyces cerevisiae, were examined, the numbers of chromosomes varied drastically, from 4 to at least 9. When single gene probes were used in Southern analysis, the corresponding genes usually mapped to at least two chromosomal bands, excluding a simple haploid organization of the genome. When different loci were sequenced, in most cases, several different haplotypes were obtained for each single isolate, and they belonged to two subtypes. Phylogenetic reconstruction using haplotypes revealed that the sequences from different isolates belonging to one subtype were more similar to each other than to the sequences belonging to the other subtype within the isolate. Reanalysis of the genome sequence also confirmed that partially sequenced strain Y879 is not a simple haploid and that its genome contains approximately 1% polymorphic sites. The present situation could be explained by (i) a hybridization event where two similar but different genomes have recently fused together or (ii) an event where the diploid progenitor of all analyzed strains lost a regular sexual cycle, and the genome started to accumulate mutations.Recent achievements in genome sequencing have revealed that gene contents vary among distantly related organisms but are relatively constant among closely related species. For example, among hemiascomycete yeasts, which originated more than 250 million years ago and include well-studied yeasts such as Saccharomyces cerevisiae and Candida albicans (3, 4), an average genome contains approximately 5,000 genes. Approximately one-half of the protein-coding gene families are preserved in all of the yeasts sequenced to date. However, there is a large variation in the gene order and configuration of chromosomes among different species.Chromosome configuration is usually well preserved among populations belonging to the same species. Only rarely do geographically separated populations, for example, Mus musculus (8, 32), differ in the number and form of chromosomes. The mutability of the genome enhances the adaptability of the species, but it also decreases the viability of the new variant. In addition, these changes can preclude successful reproduction and can be a decisive factor in the emergence of new species (2; for a review, see references 6 and 7).Among closely related yeasts belonging to the Saccharomyces sensu stricto clade (including S. cerevisiae), which originated approximately 20 million years ago, the gene contents are relatively similar (13). Their genomes are almost colinear and consist of 16 chromosomes. Some inter- and intraspecific variations are observed predominantly at the chromosome ends (18, 19). Sensu stricto species are semifertile, meaning that they can successfully mate and produce F1 offspring but that the hybrids are largely sterile. It appears that this clade has still not completed the speciation process (7). The relatively low chromosome variability among Saccharomyces sensu stricto yeasts is probably promoted by regular sexual cycles. These yeasts are diploid, but heterozygosity is almost absent because of the homothallic life-style, which enables haploid spores from the same yeast cell to mate. Only for “sterile” hybrids, such as the lager brewing yeast Saccharomyces pastorianus (Saccharomyces carlsbergensis), originating upon the mating of two different species, has a pronounced heterozygosity been observed (14). The parental genomes came from S. cerevisiae and a close relative, Saccharomyces bayanus. A study of allotetraploid hybrids between a diploid S. cerevisiae strain and a diploid S. bayanus strain demonstrated that these hybrids behave essentially as diploids regarding meiosis and sporulation and had 77% spore viability (1, 22). The extent of intra- and interspecific genome variability is not well known for other yeasts, especially among distant relatives of S. cerevisiae. The only well-studied exception is a pathogen, Candida albicans, that is believed to be predominantly asexual. This yeast diverged from the S. cerevisiae lineage prior to the origin of the efficient homothallic life-style (reviewed in reference 25). The genome is diploid and shows a low level of heterozygosity (12), and large variations in the configurations of the chromosomes among different isolates have been reported (reviewed in reference 29).Dekkera bruxellensis is often isolated in wineries and is well known as a major microbial cause of wine spoilage. The lineages of D. bruxellensis and S. cerevisiae separated at approximately the same time as the lineages of S. cerevisiae and C. albicans separated, approximately 200 million years ago (40). However, D. bruxellensis and S. cerevisiae share several characteristics, such as the production of ethanol, the ability to propagate in the absence of oxygen (anaerobic growth), and petite positivity (the ability to produce offspring without mitochondrial DNA [mtDNA]), that are rarely found among other yeasts (16, 20). So far, a sexual cycle in D. bruxellensis has not been found.In this paper, we analyzed the genome structures of 30 isolates of D. bruxellensis originating from different geographical localities around the world. We show that these isolates have different numbers and sizes of chromosomes and also that the numbers of copies of several analyzed genes and their sequences vary. In addition, we could detect heterozygosity in the partial genome sequence of strain Y879.     

Transcriptome analysis of Pseudomonas putida in response to nitrogen availability

This work describes a regulatory network of Pseudomonas putida controlled in response to nitrogen availability. We define NtrC as the master nitrogen regulator and suggest that it not only activates pathways for the assimilation of alternative nitrogen sources but also represses carbon catabolism under nitrogen-limited conditions, possibly to prevent excessive carbon and energy flow in the cell.     

The wine yeast strain-dependent expression of genes implicated in sulfide production in response to nitrogen availability

Sulfur metabolism in S. cerevisiae is well established, but the mechanisms underlying the formation of sulfide remain obscure. Here we investigated by real time RT-PCR the dependence of expression levels of MET3, MET5/ECM17, MET10, MET16 and MET17 along with SSU1 on nitrogen availability in two wine yeast strains that produce divergent sulfide profiles. MET3 was the most highly expressed of the genes studied in strain PYCC4072, and SSU1 in strain UCD522. Strains behaved differently according to the sampling times, with UCD522 and PYCC4072 showing the highest expression levels at 120h and 72h, respectively. In the presence of 267mg assimilable N/l, the genes were more highly expressed in strain UCD522 than in PYCC4072. MET5/ECM17 and MET17 were only weakly expressed in both strains under any condition tested. MET10 and SSU1 in both strains, but MET16 only in PYCC4072, were consistently up-regulated when sulfide production was inhibited. This study illustrates that strain genotype could be important in determining enzyme activities and therefore the rate of sulfide liberation. This linkage, for some yeast strains, of sulfide production to expression levels of genes associated to sulfate assimilation and sulfur amino acid biosynthesis could be relevant for defining new strategies for genetic improvement of wine yeasts.     

The fermentation of sugarcane molasses by Dekkera bruxellensis and the mobilization of reserve carbohydrates

The yeast Dekkera bruxellensis is considered to be very well adapted to industrial environments, in Brazil, USA, Canada and European Countries, when different substrates are used in alcoholic fermentations. Our previous study described its fermentative profile with a sugarcane juice substrate. In this study, we have extended its physiological evaluation to fermentation situations by using sugarcane molasses as a substrate to replicate industrial working conditions. The results have confirmed the previous reports of the low capacity of D. bruxellensis cells to assimilate sucrose, which seems to be the main factor that can cause a bottleneck in its use as fermentative yeast. Furthermore, the cells of D. bruxellensis showed a tendency to deviate most of sugar available for biomass and organic acids (lactic and acetic) compared with Saccharomyces cerevisiae, when calculated on the basis of their respective yields. As well as this, the acetate production from molasses medium by both yeasts was in marked contrast with the previous data on sugarcane juice. Glycerol and ethanol production by D. bruxellensis cells achieved levels of 33 and 53 % of the S. cerevisiae, respectively. However, the ethanol yield was similar for both yeasts. It is worth noting that this yeast did not accumulate trehalose when the intracellular glycogen content was 30 % lower than in S. cerevisiae. The lack of trehalose did not affect yeast viability under fermentation conditions. Thus, the adaptive success of D. bruxellensis under industrial fermentation conditions seems to be unrelated to the production of these reserve carbohydrates.