Yeast population dynamics of industrial fuel-ethanol fermentation process assessed by PCR-fingerprinting

Yeast populations used in industrial production of fuel-ethanol may vary according to the plant process conditions and to the environmental stresses imposed on yeast cells. Therefore, yeast strains isolated from a particular industrial process may be adapted to such conditions and should be used as the starter strain instead of less adapted commercial strains. This work reports the use of a PCR-fingerprinting method based on microsatellite primer (GTG)₅ to characterize the yeast population dynamics during the fermentation period in six distilleries. The results show that indigenous fermenting strains present in the crude substrate can be more adapted to the industrial process than commercial strains. We also identified new strains that dominated the yeast population and were more commonly present either in molasses or sugar cane fermenting distilleries. Those strains were proposed to be used as starters in those industrial processes. This is the first report on the use of molecular markers to discriminate Saccharomyces cerevisiae strains from the fuel-ethanol producing process.     

Isolation by genetic and physiological characteristics of a fuel-ethanol fermentative Saccharomyces cerevisiae strain with potential for genetic manipulation

Fuel ethanol fermentation process is a complex environment with an intensive succession of yeast strains. The population stability depends on the use of a well-adapted strain that can fit to a particular industrial plant. This stability helps to keep high level of ethanol yield and it is absolutely required when intending to use recombinant strains. Yeast strains have been previously isolated from different distilleries in Northeast Brazil and clustered in genetic strains by PCR-fingerprinting. In this report we present the isolation and selection of a novel Saccharomyces cerevisiae strain by its high dominance in the yeast population. The new strain, JP1 strain, presented practically the same fermentative capacity and stress tolerance like the most used commercial strains, with advantages of being highly adapted to different industrial units in Northeast Brazil that used sugar cane juice as substrate. Moreover, it presented higher transformation efficiency that pointed out its potential for genetic manipulations. The importance of this strain selection programme for ethanol production is discussed.     

Polyhexamethyl biguanide can eliminate contaminant yeasts from fuel-ethanol fermentation process

Industrial ethanol fermentation is a non-sterile process and contaminant microorganisms can lead to a decrease in industrial productivity and significant economic loss. Nowadays, some distilleries in Northeastern Brazil deal with bacterial contamination by decreasing must pH and adding bactericides. Alternatively, contamination can be challenged by adding a pure batch of Saccharomyces cerevisiae-a time-consuming and costly process. A better strategy might involve the development of a fungicide that kills contaminant yeasts while preserving S. cerevisiae cells. Here, we show that polyhexamethyl biguanide (PHMB) inhibits and kills the most important contaminant yeasts detected in the distilleries of Northeastern Brazil without affecting the cell viability and fermentation capacity of S. cerevisiae. Moreover, some physiological data suggest that PHMB acts through interaction with the yeast membrane. These results support the development of a new strategy for controlling contaminant yeast population whilst keeping industrial yields high.     

Identification of yeasts within Saccharomyces sensu stricto complex by PCR-fingerprinting

Biological relatedness makes species characterization of the industrially important Saccharomyces sensu stricto complex difficult. In this paper we present a set of PCR-fingerprinting markers based in Single Primer Amplification Reactions (SPAR) that, together with PCR-ribotyping and single gene RFLP analysis, can effectively identify individual species and fully characterize the hybrid nature of industrial isolates. With those markers, all six yeast species of the sensu stricto complex could be discriminated and we also identified errors in the previous taxonomic characterization of certain wine yeasts. The unique patterns generated by the SPAR markers could be useful in monitoring yeast populations during industrial fermentation processes and can be used to detect the appearance of yeast hybrids in these environments.     

Identification of Dekkera bruxellensis as a major contaminant yeast in continuous fuel ethanol fermentation

AIMS: To identify and characterize the main contaminant yeast species detected in fuel-ethanol production plants in Northeast region of Brazil by using molecular methods. METHODS AND RESULTS: Total DNA from yeast colonies isolated from the fermentation must of industrial alcohol plants was submitted to PCR fingerprinting, D1/D2 28S rDNA sequencing and species-specific PCR analysis. The most frequent non-Saccharomyces cerevisiae isolates were identified as belonging to the species Dekkera bruxellensis, and several genetic strains could be discriminated among the isolates. The yeast population dynamics was followed on a daily basis during a whole crop harvesting period in a particular industry, showing the potential of D. bruxellensis to grow faster than S. cerevisiae in industrial conditions, causing recurrent and severe contamination episodes. CONCLUSIONS: The results showed that D. bruxellensis is one of the most important contaminant yeasts in distilleries producing fuel-ethanol from crude sugar cane juice, specially in continuous fermentation systems. SIGNIFICANCE AND IMPACT OF THE STUDY: Severe contamination of the industrial fermentation process by Dekkera yeasts has a negative impact on ethanol yield and productivity. Therefore, early detection of D. bruxellensis in industrial musts may avoid operational problems in alcohol-producing plants.     

传统豆酱发酵过程中细菌多样性动态

细菌在豆酱发酵过程中起到非常重要的作用,并与豆酱的风味和质量密切相关,因此研究豆酱中细菌的多样性具有重要意义。以自然发酵的豆酱样品为研究对象,采用细菌16S rDNA的部分可变区的PCR-DGGE技术对自然发酵豆酱样品的细菌群落组成和优势菌群进行研究。结果表明,传统豆酱发酵过程细菌群体中既有原始种群的减少和增长,也有次级种群的增多和演变。在整个发酵过程中,初期和末期以不可培养细菌为主,初期细菌群体快速演替,细菌种群多样性指数在发酵42 d和56 d达到两次高峰。     

Improvement of direct ethanol fermentation from woody biomasses by the Antarctic basidiomycetous yeast, Mrakia blollopis, under a low temperature condition

The Antarctic basidiomycetous yeast Mrakia blollopis SK-4 can quite uniquely ferment various sugars under low temperature conditions. When strain SK-4 fermented lignocellulosic biomass using the direct ethanol fermentation (DEF) technique, approximately 30% to 65% of the theoretical ethanol yield was obtained without and with the addition of the non-ionic surfactant Tween 80, respectively. Therefore, DEF from lignocellulosic biomass with M. blollopis SK-4 requires the addition of a non-ionic surfactant to improve fermentation efficiency. DEF with lipase converted Eucalyptus and Japanese cedar to 12.6 g/l, and 14.6 g/l ethanol, respectively. In the presence of 1% (v/v) Tween 80 and 5 U/g-dry substrate lipase, ethanol concentration increased about 1.4- to 2.4-fold compared to that without Tween 80 and lipase. We therefore consider that the combination of M. blollopis SK-4 and DEF with Tween 80 and lipase has good potential for ethanol fermentation in cold environments.     

Monitoring of Saccharomyces and Hanseniaspora populations during alcoholic fermentation by real-time quantitative PCR

Real-time, or quantitative, PCR (QPCR) was developed for the rapid quantification of two of the most important yeast groups in alcoholic fermentation (Saccharomyces spp. and Hanseniaspora spp.). Specific primers were designed from the region spanning the internal transcribed spacer 2 (ITS2) and the 5.8S rRNA gene. To confirm the specificity of these primers, they were tested with different yeast species, acetic acid bacteria and lactic acid bacteria. The designed primers only amplified for the intended group of species and none of the PCR assays was positive for any other wine microorganisms. This technique was performed on reference yeast strains from pure cultures and validated with both artificially contaminated wines and real wine fermentation samples. To determine the effectiveness of the technique, the QPCR results were compared with those obtained by plating. The design of new primers for other important wine yeast species will enable to monitor yeast diversity during industrial wine fermentation and to detect the main spoilage yeasts in wine.     

Bioethanol fermentation by recombinant E. coli FBR5 and its robust mutant FBHW using hot-water wood extract hydrolyzate as substrate

Hemicellulose is a potential by-product currently under-utilized in the papermaking industry. It is a hetero-carbohydrate polymer. For hardwood hemicelluloses, D-xylose is the major component upon depolymerization. At SUNY-ESF, wood extracts were obtained by extracting sugar maple wood chips with hot water at an elevated temperature. The wood extracts were then concentrated and acid hydrolyzed. Ethanologenic bacteria, E. coli FBR5, had a good performance in pure xylose medium for ethanol production. However, FBR5 was strongly inhibited in dilute sulfuric acid hydrolyzate of hot-water wood extract. FBR5 was challenged by hot-water wood extract hydrolyzate in this study. After repeated strain adaptation, an improved strain: E. coli FBHW was obtained. Fermentation experiments indicated that FBHW was resistant to the toxicity of hydrolyzate in the fermentation media of concentrated hydrolyzate, and xylose was completely utilized by the strain to produce ethanol. FBHW was grown in the concentrated hydrolyzate without any detoxification treatment and has yielded 36.8 g/L ethanol.     

Use of quantitative real-time PCR to monitor population dynamics of ammonia-oxidizing bacteria in batch process

A quantitative real-time PCR (QPCR) assay with the TaqMan system was used to quantify 16S rRNA genes of β-proteobacterial ammonia-oxidizing bacteria (AOB) in a batch nitrification bioreactor. Five different sets of primers, together with a TaqMan probe, were used to quantify the 16S rRNA genes of β-proteobacterial AOB belonging to the Nitrosomonas europaea, Nitrosococcus mobilis, Nitrosomonas nitrosa, and Nitrosomonas cryotolerans clusters, and the genus Nitrosospira. We also used PCR followed by denaturing gradient gel electrophoresis (DGGE), cloning, and sequencing of their 16S rRNA genes to identify the AOB species. Seed sludge from an industrial wastewater treatment process controlling high-strength nitrogen wastewater (500 mg/L NH₄ ⁺–N) was used as the inoculum for subsequent batch experiment. The Nitrosomonas nitrosa cluster was the predominant AOB (2.3 × 10⁵ copies/mL) in the start-up period of the batch experiment. However, from the exponential growth period, the Nitrosomonas europaea cluster was the most abundant AOB, and its 16S rRNA gene copy number increased to 8.9 × 10⁶ copies/mL. The competitive dominance between the two AOB clusters is consistent with observed differences in ammonia tolerance and substrate affinity. Analysis of the DGGE results indicated the presence of Nitrosomonas europaea ATCC19718 and Nitrosomonas nitrosa Nm90, consistent with the QPCR results.     

Typification of Oenococcus oeni strains by multiplex RAPD-PCR and study of population dynamics during malolactic fermentation

AIMS: The goal of this study was to develop a reproducible method for molecular typing strains of Oenococcus oeni, and also to apply it in the study of population dynamics of these strains during malolactic fermentation of wine. METHODS AND RESULTS: A new method of multiplex randomly amplified polymorphic DNA (RAPD)-PCR has been developed, based on the combination of one random 10-mer and one specific 23-mer oligonucleotide in a single PCR. This method generates unique and discriminant DNA profiles for strains of O. oeni. The strains of this species were also clearly distinguished from other species of lactic acid bacteria. The method was applied to study the dynamics of O. oeni strains during malolactic fermentation, in three vintages in the same cellar. CONCLUSIONS: A fast and reliable method for typing strains of O. oeni has been designed and optimized. It improves the reproducibility and rapidity of conventional RAPD-PCR, and it has been validated monitoring the population dynamics during malolactic fermentation. SIGNIFICANCE AND IMPACT OF THE STUDY: This method will be a good tool to study the population dynamics of bacteria during malolactic fermentation and to evaluate the performance of new malolactic starter cultures and their dominance over the native microbiota.     

Yeast population dynamics in spontaneous fermentations: Comparison between two different wine-producing areas over a period of three years

Yeast ecology, biogeography and biodiversity are important and interesting topics of research. The population dynamics of yeasts in several cellars of two Spanish wine-producing regions was analysed for three consecutive years (1996 to 1998). No yeast starter cultures had been used in these wineries which therefore provided an ideal winemaking environment to investigate the dynamics of grape-related indigenous yeast populations. Non-Saccharomyces yeast species were identified by RFLPs of their rDNA, while Saccharomyces species and strains were identified by RFLPs of their mtDNA. This study confirmed the findings of other reports that non-Saccharomyces species were limited to the early stages of fermentation whilst Saccharomyces dominated towards the end of the alcoholic fermentation. However, significant differences were found with previous studies, such as the survival of non-Saccharomyces species in stages with high alcohol content and a large variability of Saccharomyces strains (a total of 112, all of them identified as Saccharomyces cerevisiae) with no clear predominance of any strain throughout all the fermentation, probably related to the absence of killer phenotype and lack of previous inoculation with commercial strains.     

Simultaneous secretion of seven lignocellulolytic enzymes by an industrial second-generation yeast strain enables efficient ethanol production from multiple polymeric substrates

A major hurdle in the production of bioethanol with second-generation feedstocks is the high cost of the enzymes for saccharification of the lignocellulosic biomass into fermentable sugars. Simultaneous saccharification and fermentation with Saccharomyces cerevisiae yeast that secretes a range of lignocellulolytic enzymes might address this problem, ideally leading to consolidated bioprocessing. However, it has been unclear how many enzymes can be secreted simultaneously and what the consequences would be on the C6 and C5 sugar fermentation performance and robustness of the second-generation yeast strain. We have successfully expressed seven secreted lignocellulolytic enzymes, namely endoglucanase, β-glucosidase, cellobiohydrolase I and II, xylanase, β-xylosidase and acetylxylan esterase, in a single second-generation industrial S. cerevisiae strain, reaching 94.5 FPU/g CDW and enabling direct conversion of lignocellulosic substrates into ethanol without preceding enzyme treatment. Neither glucose nor the engineered xylose fermentation were significantly affected by the heterologous enzyme secretion. This strain can therefore serve as a promising industrial platform strain for development of yeast cell factories that can significantly reduce the enzyme cost for saccharification of lignocellulosic feedstocks.     

Genotypic and phenotypic characterization of industrial autochthonous Saccharomyces cerevisiae for the selection of well-adapted bioethanol-producing strains

In northwestern Argentina, sugarcane-derived industrial fermentation is being extensively used for bioethanol production, where highly adaptive native strains compete with the baker's yeast Saccharomyces cerevisiae traditionally used as starter culture. Yeast populations of 10 distilleries from Tucumán (Argentina) were genotypic and phenotypic characterized to select well-adapted bioethanol-producing autochthonous strains to be used as starter cultures for the industrial production of bioethanol fuel. From the 192 isolates, 69.8% were identified as S. cerevisiae, 25.5% as non-Saccharomyces, and 4.7% as Saccharomyces sp. wild yeasts. The majority of S. cerevisiae isolates (68.5%) were non-flocculating yeasts, while the flocculating strains were all obtained from the only continuous fermentation process included in the study. Simple Sequence Repeat analysis revealed a high genetic diversity among S. cerevisiae genotypes, where all of them were very different from the original baker's strain used as starter. Among these, 38 strains multi-tolerant to stress by ethanol (8%), temperature (42.5 °C) and pH (2.0) were obtained. No major differences were found among these strains in terms of ethanol production and residual sugars in batch fermentation experiments with cell recycling. However, only 10 autochthonous strains maintained their viability (more than 80%) throughout five consecutive cycles of sugarcane-based fermentations. In summary, 10 autochthonous isolates were found to be superior to baker's yeast used as starter culture (S. cerevisiae Calsa) in terms of optimal technological, physiological and ecological properties. The knowledge generated on the indigenous yeast populations in industrial fermentation processes of bioethanol-producing distilleries allowed the selection of well-adapted bioethanol-producing strains.