Identification of yeasts present in sour fermented foods and fodders

This paper deals with rapid methods for identification of 50 yeast species frequently isolated from foods and fodders that underwent a lactic acid fermentation. However, many yeast species present in olive brine, alpechin, and other olive products were not treated. The methods required for identification include light microscopy, physiological growth tests (ID32C system of BioMérieux), assimilation of nitrate and of ethylamine as sole nitrogen sources, vitamin requirement, and maximum growth temperature. An identification key to treated yeast species is provided. In another table characteristics of all yeast species treated are listed.     

Diversity of yeast species during fermentative process contributing to Chinese Maotai-flavour liquor making

Aims: The famous traditional Chinese Maotai-flavour liquor is produced by a unique spontaneous simultaneous saccharification and fermentation process, which contributes to a distinctive yeast community with specific physiological properties and performances. Therefore, it would be useful to investigate this yeast community and reveal the novelty of its characteristics. Methods and Results: Nine yeast species were obtained from the fermentation period. A combination of physiological and functional analyses revealed a very high diversity of yeast populations. In particular, the extremely high temperature and low acidity of the fermentation conditions led to an accumulation of species with distinctive heat- and acid-resistant properties. Moreover, these yeast species were also significant flavour contributors, for various alcohols, acids and esters. Conclusions: The Chinese Maotai-flavour liquor-fermentation process is rich in yeast resources with distinctive fermentation properties, which were different from other beverages. Significance and Impact of the Study: This work is the first to study the complex yeast ecology of the Maotai-flavour liquor-making process. It allows a deeper insight into the mechanism of this process.     

清香型白酒发酵过程中酵母群落结构及其与尿素代谢的关系

【目的】探索清香型白酒发酵过程中酵母群落结构及演变,分析潜在的关键尿素代谢酵母及其环境调控因素,为降低发酵过程中氨基甲酸乙酯的含量提供理论依据。【方法】通过相关性分析明确发酵过程中氨基甲酸乙酯主要前体物质及其代谢微生物类群,利用高通量测序技术解析酵母群落结构组成,并结合偏最小二乘回归分析寻找潜在的关键尿素代谢酵母。采用冗余分析评价发酵过程中环境因素对酵母群落结构的影响。【结果】尿素是清香型白酒发酵过程中氨基甲酸乙酯的主要前体物质,酵母是尿素代谢的主要微生物。高通量测序结果显示,在97%的相似度下进行操作分类单元聚类后,共鉴定出22个酵母种。其中,嗜高压有孢汉生酵母(Hanseniaspora osmophila)、发酵毕赤酵母(Pichia fermentans)和酿酒酵母(Saccharomyces cerevisiae)与尿素合成存在正相关性,库德毕赤酵母(Pichia kudriavzevii)与尿素降解存在正相关性。酒醅含水量、p H、乙醇和精氨酸是影响发酵过程中酵母群落演替的重要环境因素。【结论】环境因素影响潜在的关键尿素代谢酵母,为降低发酵过程中尿素与氨基甲酸乙酯含量提供理论依据。     

田间施药对自然发酵葡萄酒酵母菌群落结构的影响

【背景】酵母菌是葡萄酒发酵过程中一类非常重要的微生物,其多样性及群体组成对葡萄酒的质量有重要贡献。影响葡萄酒中酵母菌组成的因素有很多,但目前尚未见葡萄园田管理对葡萄酒酵母菌群落结构影响方面的报道。【目的】探索田间施药对自然发酵葡萄酒酵母菌群落结构的影响。【方法】采用分离培养、常规分子生物学鉴定和Illumina MiSeq宏基因组测序结合的方法分析不同样品中的酵母菌群落结构情况。【结果】从不使用内吸收型化学农药的葡萄样品自然发酵液中分离鉴定出Pichia、Hanseniaspora、Schizosaccharomyces、Candida、Saccharomyces、Zygoascus、Issatchenkia等7个属8个种的酵母菌,宏基因组测序结果表明有Pichia(29.42%)、Saccharomyces(21.91%)、Issatchenkia(17.99%)、 Hanseniaspora(12.10%)、 Candida(7.47%)、 Zygosaccharomyces(5.32%)、Schizosaccharomyces (3.07%)、Aureobasidium (0.29%)等属的酵母菌参与发酵;使用常规化学农药的葡萄样品自然发酵液中分离鉴定出Pichia、Hanseniaspora、Schizosaccharomyces、Candida、Cryptococcus等5个属6个种的酵母菌,宏基因组测序结果表明有Pichia (41.66%)、Hanseniaspora (21.54%)、Candida(19.11%)、 Zygosaccharomyces(7.78%)、 Schizosaccharomyces(4.04%)、 Cryptococcus(3.21%)、Saccharomyces (1.12%)、Aureobasidium (0.49%)等属的酵母菌参与发酵。【结论】两样品中酵母菌比例有显著差异,表明在酿酒葡萄的园田管理中化学农药的使用对自然发酵葡萄酒的酵母菌群落结构有较大影响。     

Yeast heterogeneity during spontaneous fermentation of black Conservolea olives in different brine solutions

Aims: To assess the yeast community structure and dynamics during Greek‐style processing of natural black Conservolea olives in different brine solutions. Methods and Results: Black olives were subjected to spontaneous fermentation in 6% (w/v) NaCl brine solution or brine supplemented with (i) 0·5% (w/v) glucose, (ii) 0·2% (v/v) lactic acid and (iii) both glucose and lactic acid. Yeast species diversity was evaluated at the early (2 days), middle (17 days) and final (35 days) stages of fermentation by restriction fragment length polymorphism and sequence analyses of the 5·8S internal transcribed spacer and the D1/D2 ribosomal DNA (rDNA) regions of isolates. Analysis revealed a relatively broad range of biodiversity composed of 10 genera and 17 species. In all treatments, yeasts were the main micro‐organisms involved in fermentation together with lactic acid bacteria that coexisted throughout the processes. Metschnikowia pulcherrima was the dominant yeast species at the onset of fermentation, followed by Debaryomyces hansenii and Aureobasidium pullulans. Species heterogeneity changed as fermentations proceeded and Pichia membranifaciens along with Pichia anomala evolved as the main yeasts of olive elaboration, prevailing at 17 and 35 days of the process. Molecular techniques allowed for the identification of five yeast species, namely A. pullulans, Candida sp., Candida silvae, Cystofilobasidium capitatum and M. pulcherrima, which have not been reported previously in black olive fermentation. Conclusions: By using molecular techniques, a rich yeast community was identified from Conservolea black olive fermentations. Metschnikowia pulcherrima was reported for the first time to dominate in different brines at the onset of fermentation, whereas Pichia anomala and P. membranifaciens evolved during the course. The addition of glucose and/or lactic acid perturbed yeast succession and dominance during fermentation. Significance and Impact of the Study: Yeasts have an important role in black olive fermentation and contribute to the development of the organoleptic characteristics of the final product. At the same time, certain species can cause significant spoilage. The present study adds to a better knowledge of yeast communities residing in olive fermentations towards a well‐controlled process with minimization of product’s losses.     

Rapid detection and quantification of yeast species during spontaneous wine fermentation by PCR-RFLP analysis of the rDNA ITS region

L. GRANCHI, M. BOSCO, A. MESSINI and M. VINCENZINI.1999.PCR–RFLP analysis of the rDNA–ITS (internal transcribed spacer) region was applied to 174 yeast strains belonging to 30 species of oenological significance and including 27 type strains in order to define a rapid identification protocol for yeast colonies. Dra I-or Hae III-PCR–RFLP patterns were species-specific with the exception of teleomorphic and anamorphic forms. An improved protocol taking about 30 h was used for the detection and quantification of yeast species occurring in the course of a spontaneous wine fermentation at industrial level. Wine samples were taken and plated daily on an agar medium and the developed colonies were analysed by PCR–RFLP after 24 h of incubation. A representative sample of these colonies was also identified by traditional methods. Both procedures gave identical results. However, PCR–RFLP analysis allowed a more precise enumeration of the yeast populations, proving to be a reliable and simple method for monitoring the development of the yeast community throughout wine fermentation.     

Dynamic lipidomic insights into the adaptive responses of Saccharomyces cerevisiae to the repeated vacuum fermentation

Vacuum fermentation is utilized in a wide range of life science industries and biomedical R&D. Little is known, however, on the effects of the vacuum on the yeast, and in particular, on the yeast lipidome that plays a central role in maintaining cell membrane and other vital (yeast) cell functions. The present study evaluated the adaptive responses of Saccharomyces cerevisiae to repeated vacuum fermentation by lipidomic analysis. We employed gas chromatography coupled to time-of-flight mass spectrometry (GC-TOF-MS) and liquid chromatography electrospray ionization tandem mass spectrometry (LC-ESI/MS(n)) to quantify a total of 13 intermediate sterols and 139 phospholipid species of yeast cells. Principal components analysis found that the PI (phosphatidylinositol) 26:0, PI 28:0, PE (phosphatidylethanolamine) 32:1, and PE 34:1 were potential biomarkers to distinguish the vacuum fermentation process. Quantitative analysis showed that vacuum fermentation increased the synthesis of PI and the PC (phosphatidylcholine) species with short saturated acyl chains. The synthesis of PC via CDP-choline and turnover of PC were enhanced, instead of formation via methylation of PE. Additionally, increased PI at the expense of PE and PG (phosphatidylglycerol) was associated with enhancement of ethanol productivity. Vacuum fermentation caused eburicol accumulation, suggesting that vacuum can activate the branch of the ergosterol biosynthesis pathway. Eburicol decrease and PI increase contributed to recovery of cellular activities with oxygenating treatment. Ethanol productivity was increased by sixfold in vacuum-treated cells. These observations may allow the development of future mechanistic approaches to optimization of yeast fermentation under vacuum for bioindustry and life science applications. In particular, our findings on changes in lipid molecular species and the ergosterol biosynthesis pathway elucidate the defense responses of yeast cell membranes during the repeated vacuum fermentation, which by extension, provided an important lead insight on how best to protect the cell membranes from the extreme long-term stress conditions.     

New PCR-based methods for yeast identification

AIMS: To characterize reference yeast strains and identify indigenous strains isolated from wine fermentations by PCR methods. METHODS AND RESULTS: We compared several PCR techniques for yeast identification. We used oligonucleotide primers that are complementary to (i) intron splice sites, (ii) REP and (iii) ERIC elements to produce PCR fingerprints that display specific patterns between the different yeast species. These three techniques were used to characterize 41 reference yeast strains belonging to 15 different species and to identify 40 indigenous strains isolated from grape must and wine fermentations. Species-specific banding patterns were obtained with the three PCR-techniques with different degrees of intraspecific differentiation depending on the method. By comparing the PCR fingerprints of unknown isolates with those produced by reference strains, we identified yeast strains isolated from an industrial wine fermentation. CONCLUSIONS: All three PCR techniques are rapid, reliable and simple methods of yeast identification. As far as we know, this is the first time that the primers designed for amplifying repetitive elements in bacteria have been successfully used in yeast. SIGNIFICANCE AND IMPACT OF THE STUDY: Industry needs rapid, reliable and simple methods of yeast identification. The proposed PCR techniques will allow to achieve this objective.     

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.     

Influence of specific fermentation conditions on natural microflora of pomace in “Grappa” production

As reported in the European Community regulation, grappa is a spirit beverage made in Italy from marc that has been steam distilled or distilled after the addition of water. Grape marc from red grapes has already undergone alcoholic fermentation with the must and can be distilled immediately. Grape marc from white grapes does not contain ethanol but contains sugars that are fermented by spontaneous anaerobic fermentation during a storage period. The characteristic aroma of grappa consists of a large number of volatile compounds, which arise from various sources, the most important of which is yeast. Very few studies have been undertaken to characterize the natural populations of yeast during the fermentation of grape marc. The goal of this study was to understand how different pHs, temperatures and yeast starter cultures affect the growth and dynamics of yeast species involved in pomace fermentation, which could be the basis for improving the final quality of grappa production. We found that a temperature of 15°C has the greatest effect on improving the quality of the product. Unfortunately, due to the solid state of the grape marc and the impossibility of its mixing, it appears that acidification and the addition of yeast starter cultures during the silage period are not effective.     

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.     

Molecular identification of wine yeasts at species or strain level: a case study with strains from two vine-growing areas of Greece

The composition of wine yeast populations, present during spontaneous fermentation of musts from two wine-producing areas of Greece (Amyndeon and Santorini) and followed for two consecutive years, were studied using a range of molecular techniques. Internal Transcribed Spacer (ITS) ribotyping was convincingly applied for yeast species identification, proving its usefulness as a reliable tool for the rapid characterization of species composition in yeast population studies. Restriction Fragment Length Polymorphism (RFLP) of mitochondrial DNA (mtDNA) was shown to be a convenient criterion for the detection of intraspecies genetic diversity of both Saccharomyces and non-Saccharomyces isolate populations. Similarly, polymorphism of amplified delta interspersed element sequences provided an additional criterion for S. cerevisiae strain differentiation. Comparative analysis of S. cerevisiae genetic diversity, using mtDNA restriction patterns and delta-amplification profiles, showed a similar discriminative power of the two techniques. However, by combining these approaches it was possible to distinguish/characterize strains of the same species and draw useful conclusions about yeast diversity during alcoholic fermentation. The most significant findings in population dynamics of yeasts in the spontaneous fermentations were (i) almost complete absence of non-S.cerevisiae species from fermentations of must originating from the island Santorini, (ii) a well recorded strain polymorphism in populations of non-Saccharomyces species originating from Amyndeon and (iii) an unexpected polymorphism concerning S. cerevisiae populations, much greater than ever reported before in similar studies with wine yeasts of other geographical regions.     

The physiological characteristics of the yeast Dekkera bruxellensis in fully fermentative conditions with cell recycling and in mixed cultures with Saccharomyces cerevisiae

The yeast Dekkera bruxellensis plays an important role in industrial fermentation processes, either as a contaminant or as a fermenting yeast. In this study, an analysis has been conducted of the fermentation characteristics of several industrial D. bruxellensis strains collected from distilleries from the Southeast and Northeast of Brazil, compared with Saccharomyces cerevisiae. It was found that all the strains of D. bruxellensis showed a lower fermentative capacity as a result of inefficient sugar assimilation, especially sucrose, under anaerobiosis, which is called the Custer effect. In addition, most of the sugar consumed by D. bruxellensis seemed to be used for biomass production, as was observed by the increase of its cell population during the fermentation recycles. In mixed populations, the surplus of D. bruxellensis over S. cerevisiae population could not be attributed to organic acid production by the first yeast, as previously suggested. Moreover, both yeast species showed similar sensitivity to lactic and acetic acids and were equally resistant to ethanol, when added exogenously to the fermentation medium. Thus, the effects that lead to the employment of D. bruxellensis in an industrial process and its effects on the production of ethanol are multivariate. The difficulty of using this yeast for ethanol production is that it requires the elimination of the Custer effect to allow an increase in the assimilation of sugar under anaerobic conditions.     

Performance of optimized McRAPD in identification of 9 yeast species frequently isolated from patient samples: potential for automation

Background  

Rapid, easy, economical and accurate species identification of yeasts isolated from clinical samples remains an important challenge for routine microbiological laboratories, because susceptibility to antifungal agents, probability to develop resistance and ability to cause disease vary in different species. To overcome the drawbacks of the currently available techniques we have recently proposed an innovative approach to yeast species identification based on RAPD genotyping and termed McRAPD (Melting curve of RAPD). Here we have evaluated its performance on a broader spectrum of clinically relevant yeast species and also examined the potential of automated and semi-automated interpretation of McRAPD data for yeast species identification.     

酱香型白酒酿造酒醅中酵母菌多样性研究

为解析酱香型白酒酿造酒醅中酵母菌的菌群结构,获取酒醅中的主要酵母菌,采用高通量测序法分析酱香型白酒酒醅中酵母菌多样性及主要功能菌群,同时采用可培养分离方法获取酒醅中酵母菌活性菌株。从酱香型白酒下沙至五轮次酒醅中共检出59个属、129个种的酵母菌,分离得到酵母菌活性菌株41种,检测到的酵母菌种类与获得的酵母菌活菌在各香型白酒中最多。不同时期酒醅中的酵母菌种类和数量差异明显,其中下沙、造沙轮次以Pichia kudriavzevii为绝对优势酵母菌;一至五轮次随着轮次的递增,酒醅中优势酵母菌的种类增多,其中主要的优势酵母菌有Pichia kudriavzevii、Pichia manshurica、Zygosaccharomyces bailii、Saccharomyces cerevisiae、Candida apicola。酱香型白酒酒醅中蕴藏着极其丰富的酵母菌资源,对酵母菌菌群结构的解析有助于科学地认识酱香型白酒酿造过程中产酒与风味代谢机理,为发酵过程的调控提供一定依据。     

绍兴黄酒酒药中酵母菌的物种资源

酒药是绍兴黄酒酿造中使用的重要糖化发酵剂。2013年绍兴黄酒冬酿期间,从绍兴地区5个主要黄酒生产企业,采集古越龙山、会稽山、塔牌、沈永和、女儿红及鉴湖等6个品牌酒药样本,在数量、种类和分布规律等方面对黄酒酒药内酵母菌物种资源进行了系统研究。研究发现,会稽山酒药和沈永和酒药蕴含酵母菌数量较多而且与其他样本相比差异显著（P<0.01）,而塔牌酒药中酵母菌数量显著少于其他5个品牌（P<0.05）。遵循酵母菌分类原则,从绍兴黄酒酒药中分离鉴定出3种酵母菌,扣囊复膜孢酵母Saccharomycopsis fibuligera、酿酒酵母Saccharomyces cerevisiae和隐球酵母Cryptococcus sp.。其中,扣囊复膜孢酵母Saccharomycopsis fibuligera在6个品牌黄酒酒药内的分布占有绝对优势,该种酵母菌可能对绍兴黄酒酒药的生产性能来说至关重要。比较分析酒药中酵母菌物种资源,可以为阐明绍兴黄酒的发酵机制提供基础数据和理论基础。     

Assessment of the yeast species composition of cocoa bean fermentations in different cocoa-producing regions using denaturing gradient gel electrophoresis

The yeast species composition of 12 cocoa bean fermentations carried out in Brazil, Ecuador, Ivory Coast and Malaysia was investigated culture-independently. Denaturing gradient gel electrophoresis of 26S rRNA gene fragments, obtained through polymerase chain reaction with universal eukaryotic primers, was carried out with two different commercial apparatus (the DCode and CBS systems). In general, this molecular method allowed a rapid monitoring of the yeast species prevailing during fermentation. Under similar and optimal denaturing gradient gel electrophoresis conditions, the CBS system allowed a better separated band pattern than the DCode system and an unambiguous detection of the prevailing species present in the fermentation samples. The most frequent yeast species were Hanseniaspora sp., followed by Pichia kudriavzevii and Saccharomyces cerevisiae, independent of the origin of the cocoa. This indicates a restricted yeast species composition of the cocoa bean fermentation process. Exceptionally, the Ivorian cocoa bean box fermentation samples showed a wider yeast species composition, with Hyphopichia burtonii and Meyerozyma caribbica among the main representatives. Yeasts were not detected in the samples when the temperature inside the fermenting cocoa pulp-bean mass reached values higher than 45 °C or under early acetic acid production conditions.     

Dynamics and characterization of yeasts during natural fermentation of Italian sausages

A multiphasic approach was used to investigate the yeast ecology in Italian fermented sausages. Culture-dependent and -independent methods were applied to identify the yeast species during the maturation process and to characterize the numerically dominant species. Plating analysis and subsequent molecular identification of the isolates highlighted the dominance of Debaryomyces hansenii, but at least other three yeast species -Candida zeylanoides, Pichia triangularis and Metschnikowia pulcherrima - contributed to the fermentation as well. Direct denaturing gradient gel electrophoresis analysis confirmed that D. hansenii was the main yeast species present and its activity was also demonstrated. No other yeasts species were detected on the direct denaturing gradient gel electrophoresis gels, whereas DNA of Penicillium farinosum, Penicillium viridicatum and Mucor racemosus were present. Molecular characterization by RAPD-PCR analysis of the D. hansenii isolates demonstrated a shift in its population from the beginning to the end of the maturation of the sausages. Strains present during the early stages of the fermentation were grouped in clusters that differed from those isolated in the final phases of the maturation, underlining the genetic differences between these two populations of D. hansenii. However, all the isolates were able to grow in the presence of 3.5% sodium chloride and at 10 degrees C, evidence that these parameters did not select the species present at the end of the maturation period.     

Proteomic analysis of a distilling strain of Saccharomyces cerevisiae during industrial grain fermentation

The fermentation performance of industrial yeast strains is influenced, among other things, by their genetic composition and the nature of the fermentable sugar, availability of nitrogen, and temperature. Therefore, to manipulate the fermentation process, it is important to understand, at a molecular level, the changes occurring in the yeast cell throughout industrial fermentation processes. With this aim in mind, using two-dimensional gel electrophoresis and matrix-assisted laser desorption time-of-flight mass spectrometry (MALDI-TOF MS), we have examined the proteome of distillers yeast in an industrial context. Using yeast sampled from a local grain whisky distillery, we have prepared a detailed reference map of the proteome of distillers yeast and have examined in some detail the alterations in protein levels that occur throughout fermentation. In particular, as fermentation progresses, there is a significant increase in the levels of a variety of proteins involved in protecting against stress and nitrogen limitation. These results therefore give an insight into the stresses that yeast are exposed to in industrial fermentations and reveal some of the proteins and enzymes that are either necessary or important for efficient fermentation.     

Direct concentration and viability measurement of yeast in corn mash using a novel imaging cytometry method

Worldwide awareness of fossil-fuel depletion and global warming has been increasing over the last 30 years. Numerous countries, including the USA and Brazil, have introduced large-scale industrial fermentation facilities for bioethanol, biobutanol, or biodiesel production. Most of these biofuel facilities perform fermentation using standard baker’s yeasts that ferment sugar present in corn mash, sugar cane, or other glucose media. In research and development in the biofuel industry, selection of yeast strains (for higher ethanol tolerance) and fermentation conditions (yeast concentration, temperature, pH, nutrients, etc.) can be studied to optimize fermentation performance. Yeast viability measurement is needed to identify higher ethanol-tolerant yeast strains, which may prolong the fermentation cycle and increase biofuel output. In addition, yeast concentration may be optimized to improve fermentation performance. Therefore, it is important to develop a simple method for concentration and viability measurement of fermenting yeast. In this work, we demonstrate an imaging cytometry method for concentration and viability measurements of yeast in corn mash directly from operating fermenters. It employs an automated cell counter, a dilution buffer, and staining solution from Nexcelom Bioscience to perform enumeration. The proposed method enables specific fluorescence detection of viable and nonviable yeasts, which can generate precise results for concentration and viability of yeast in corn mash. This method can provide an essential tool for research and development in the biofuel industry and may be incorporated into manufacturing to monitor yeast concentration and viability efficiently during the fermentation process.