Pure and mixed genetic lines of Saccharomyces bayanus and Saccharomyces pastorianus and their contribution to the lager brewing strain genome

The yeast species Saccharomyces bayanus and Saccharomyces pastorianus are of industrial importance since they are involved in the production process of common beverages such as wine and lager beer; however, they contain strains whose variability has been neither fully investigated nor exploited in genetic improvement programs. We evaluated this variability by using PCR-restriction fragment length polymorphism analysis of 48 genes and partial sequences of 16. Within these two species, we identified "pure" strains containing a single type of genome and "hybrid" strains that contained portions of the genomes from the "pure" lines, as well as alleles termed "Lager" that represent a third genome commonly associated with lager brewing strains. The two pure lines represent S. uvarum and S. bayanus, the latter a novel group of strains that may be of use in strain improvement programs. Hybrid lines identified include (i) S. cerevisiae/S. bayanus/Lager, (ii) S. bayanus/S. uvarum/Lager, and (iii) S. cerevisiae/S. bayanus/S. uvarum/Lager. The genome of the lager strains may have resulted from chromosomal loss, replacement, or rearrangement within the hybrid genetic lines. This study identifies brewing strains that could be used as novel genetic sources in strain improvement programs and provides data that can be used to generate a model of how naturally occurring and industrial hybrid strains may have evolved.     

Yeast Barcoders: a chemogenomic application of a universal donor-strain collection carrying bar-code identifiers

The ability to perform complex bioassays in parallel enables experiments that are otherwise impossible because of throughput and cost constraints. For example, highly parallel chemical-genetic screens using pooled collections of thousands of defined Saccharomyces cerevisiae gene deletion strains are feasible because each strain is bar-coded with unique DNA sequences. It is, however, time-consuming and expensive to individually bar-code individual strains. To provide a simple and general method of barcoding yeast collections, we built a set of donor strains, called Barcoders, with unique bar codes that can be systematically transferred to any S. cerevisiae collection. We applied this technology by generating a collection of bar-coded 'decreased abundance by mRNA perturbation' (DAmP) loss-of-function strains comprising 87.1% of all essential yeast genes. These experiments validate both the Barcoders and the DAmP strain collection as useful tools for genome-wide chemical-genetic assays.     

Identification of genome-scale metabolic network models using experimentally measured flux profiles

Genome-scale metabolic network models can be reconstructed for well-characterized organisms using genomic annotation and literature information. However, there are many instances in which model predictions of metabolic fluxes are not entirely consistent with experimental data, indicating that the reactions in the model do not match the active reactions in the in vivo system. We introduce a method for determining the active reactions in a genome-scale metabolic network based on a limited number of experimentally measured fluxes. This method, called optimal metabolic network identification (OMNI), allows efficient identification of the set of reactions that results in the best agreement between in silico predicted and experimentally measured flux distributions. We applied the method to intracellular flux data for evolved Escherichia coli mutant strains with lower than predicted growth rates in order to identify reactions that act as flux bottlenecks in these strains. The expression of the genes corresponding to these bottleneck reactions was often found to be downregulated in the evolved strains relative to the wild-type strain. We also demonstrate the ability of the OMNI method to diagnose problems in E. coli strains engineered for metabolite overproduction that have not reached their predicted production potential. The OMNI method applied to flux data for evolved strains can be used to provide insights into mechanisms that limit the ability of microbial strains to evolve towards their predicted optimal growth phenotypes. When applied to industrial production strains, the OMNI method can also be used to suggest metabolic engineering strategies to improve byproduct secretion. In addition to these applications, the method should prove to be useful in general for reconstructing metabolic networks of ill-characterized microbial organisms based on limited amounts of experimental data.     

利用人工锌指文库选育高乙醇耐受性工业酵母菌株

选育高乙醇耐性的酿酒酵母菌株对提高燃料乙醇的发酵效率具有重要意义.锌指蛋白广泛存在于多种生物中,对基因的转录和翻译起重要的调节作用.利用人工设计的锌指蛋白可定向设计锌指序列及其排列顺序,实现对细胞内多个基因的全局调控.由于与环境胁迫反应相关的基因很多,因此可利用人工锌指蛋白技术获得耐受性提高的微生物重组菌.文中将人工锌指文库转入到酿酒酵母模式菌株S288c,选育了具有高乙醇耐受性的重组菌株M01,并分离了与乙醇耐受性提高相关的人工锌指蛋白表达载体pRS316ZFP-M01,转入工业酿酒酵母Sc4126,在含有不同浓度乙醇的平板上,工业酵母Sc4126的重组菌株表现出显著的耐受性提高.在高糖培养基(250 g/L)条件下进行乙醇发酵,发现重组菌的乙醇发酵效率明显快于野生型,发酵时间提前24 h,且发酵终点乙醇浓度提高6.3％.结果表明人工锌指文库能够提高酵母的乙醇耐受性,为构建发酵性能优良的酵母菌种奠定了基础.     

Transfer of genes for utilization of starch (sta2) and melibiose (mel) to industrial strains of Saccharomyces cerevisiae by single-chromosome transfer,using a kar1 mutant as vector

Summary A method has been developed for the transfer of genes from other yeast strains and species to industrial yeast strains, using a haploid, kar1-1 mutant strain of Saccharomyces cerevisiae as a vector. The sta2 gene, conferring the ability to metabolize starch was transferred from an autotrophic haploid strain of S. cerevisiae (S. diastaticus) and the melibiose-metabolism (mel) gene(s), from S. kluyveri, to the kar1-1 mutant [K5-5A; ( ade2 his4 can1 gal) by normal mating and protoplast fusion. From this strain, the genes were transferred to baker's yeast and brewing yeast strains, which did not utilize starch, and to baker's yeast strains, which did not utilize melibiose, by protoplast fusion, spore-cell pairing, or rare-mating. Strains that utilized starch or melibiose were obtained by all three methods. Pulsed-field gel electrophoresis preparations showed little change in the mobility of the chromosomes of the hybrids. The most probable explanation for the results obtained is that single chromosomes were transferred, first, from the donor strains to the kar1-1 haploid mutant strain, and then from the kar1-1 vector to the recipient industrial strain of S. cerevisiae. The transfer of the genes is probably accomplished through formation of disomic strains and the, in the case of the hybrids that metabolize starch, by integration of the sta2 gene into the genome of the industrial yeast strains.     

酵母生物多样性开发及工业应用

酵母是一类包括酿酒酵母和非常规酵母在内的多种单细胞真菌的总称,其中酿酒酵母是应用较多的重要工业微生物,广泛应用于生物医药、食品、轻工和生物燃料生产等不同生物制造领域。近年来,研究者从不同生态环境中分离了大量的酵母菌株,鉴定了多个新种,也发现了抗逆性不同以及具有多种活性产物合成能力的菌株,证明天然酵母资源具有丰富的生物多样性和功能多样性。利用基因组挖掘以及转录组、蛋白组等多组学分析研究,可进一步开发利用酵母遗传多样性,获得酶和调节蛋白的基因以及启动子等遗传元件改造酵母菌株。除了利用酵母的天然遗传多样性,还可通过诱变、驯化、代谢工程改造及合成生物学等技术产生具有多种非天然多样性的菌株。此外,对天然遗传元件也可以进行突变和定向进化,所产生的新遗传元件可用于有效提升菌株的性能。开发利用酵母的生物多样性,对构建高效酵母细胞工厂,生产生物酶、疫苗以及多种活性天然产物等产品具有重要意义。文中对酵母生物多样性的研究现状进行综述,并对未来高效开发利用酵母菌株资源和遗传资源的研究进行了展望。文中所总结的研究方法和思路也可为研究其他工业微生物的多样性及进行高效菌株的选育提供参考。     

M13-based genotyping of marine cyanobacterial strains from the Indian subcontinent and maintained in the NFMC germplasm collection

The aim of this study was to analyze marine cyanobacterial culture collections strains of the Indian subcontinent at the level below species. This is important to improve the abilities of service culture collections to provide their user community with correctly identified and clean organisms. A total of 50 marine cyanobacterial strains were genotyped with M13 polymerase chain reaction (PCR) fingerprinting to provide diagnostic fingerprints for each culture. Depending on the strains, 9 to 26 bands were observed for the primer tested. Within the species, strains representing different isolates were genetically clearly different. Data obtained from genomic fingerprinting were used to construct binary distance matrix, and the neighbor-joining tree constructed demonstrated the ability of this method to differentiate strains at the intraspecific level. An important and useful result obtained in this study is the application of the M13 PCR fingerprinting method on almost all forms of cyanobacteria for strain and species discrimination.     

甜瓜黑斑病菌的拮抗细菌筛选、鉴定及发酵条件优化

从健康甜瓜植株的根、茎、叶和果实分离内生细菌,明确优良拮抗菌株的分类地位及其最优发酵条件。利用平板稀释法分离内生细菌,平板对峙法筛选黑斑病菌(Alternaria tenuissima)的优良拮抗细菌,通过形态学和分子生物学鉴定,并使用单因素和正交试验方法优化发酵条件。分离共得到50株内生细菌,21株对细极链格孢具有拮抗作用,11株的抑制率达到70%以上,其中菌株G2的抑菌率最高,达76.41%,室内离体防效达44.90%,经形态特征和基因序列分析鉴定为枯草芽孢杆菌(Bacillus subtilis),其最优发酵培养基为葡萄糖20 g、硝酸钠30 g、酵母膏10 g和水1 000 mL,最优发酵条件为摇床转速150 r/min,温度32℃,150 mL摇瓶装液50 mL,最佳接种量为0.2%,培养基初始pH为7.5,其最佳发酵时间为18 h。该结果为甜瓜黑斑病生物防治提供了菌种资源,也为甜瓜内生细菌G2的产业化开发提供了依据。     

A marine killer yeast against the pathogenic yeast strain in crab (Portunus trituberculatus) and an optimization of the toxin production

A pathogenic yeast strain WCY which could cause milky disease in Portunus trituberculatus was identified to be Metschnikowia bicuspidate according to the results of routine yeast identification and 18S rDNA and ITS sequences. After screening of more than 300 yeast strains from different sources in marine environments, it was found that strain YF07b had the highest ability to produce killer toxin against the pathogenic yeast. Strain YF07b was identified to be Pichia anomala according to the results of routine yeast identification and 18S rDNA and ITS sequences. The optimal conditions for killer toxin production by strain YF07b were the production medium with 2.0% NaCl, pH 4.5, cultivation temperature of 20 degrees C and the optimal conditions for action of the crude killer toxin against the pathogenic yeast were the assay medium with 6.0% NaCl, pH 4.5 and temperature 15 degrees C.     

The development of low temperature inactive (Lti) baker's yeast

The construction of a novel baker's yeast variety via traditional genetic techniques is described. The phenotype was designated "Lti" ("Low temperature inactive"). Lti mutations with the desired characteristics within a genetically well-defined haploid laboratory strain of Saccharomyces cerevisiae were isolated, and two different approaches were taken to obtain baker's yeast strains, which exhibit reduced fermenting activity at refrigeration temperatures. In a first approach, a chosen Lti strain carrying mutation lti9 was combined with other laboratory strains carrying defined MAL alleles. In a second approach, the same lti mutation was introduced in the genetic background of polyploid commercial baker's yeast strains that harbor important "industrial" properties. Lti strains arising from both approaches were characterized with specifically developed screening procedures. Strains of the "academic" Lti strain family displayed between 85% and 92% of the biomass yield of a commercial reference strain, whereas strains of the "industrial" Lti strain family showed a variation between 60% and 115%. Lti strains from both families varied strongly among each other in their activity in model doughs: at 8 degrees C they displayed activities between 5% and 30%, and at 30 degrees C between 40% and 113% of a commercial reference baker's yeast strain.     

Redox interactions between Saccharomyces cerevisiae and Saccharomyces uvarum in mixed culture under enological conditions

Wine yeast starters that contain a mixture of different industrial yeasts with various properties may soon be introduced to the market. The mechanisms underlying the interactions between the different strains in the starter during alcoholic fermentation have never been investigated. We identified and investigated some of these interactions in a mixed culture containing two yeast strains grown under enological conditions. The inoculum contained the same amount (each) of a strain of Saccharomyces cerevisiae and a natural hybrid strain of S. cerevisiae and Saccharomyces uvarum. We identified interactions that affected biomass, by-product formation, and fermentation kinetics, and compared the redox ratios of monocultures of each strain with that of the mixed culture. The redox status of the mixed culture differed from that of the two monocultures, showing that the interactions between the yeast strains involved the diffusion of metabolite(s) within the mixed culture. Since acetaldehyde is a potential effector of fermentation, we investigated the kinetics of acetaldehyde production by the different cultures. The S. cerevisiae-S. uvarum hybrid strain produced large amounts of acetaldehyde for which the S. cerevisiae strain acted as a receiving strain in the mixed culture. Since yeast response to acetaldehyde involves the same mechanisms that participate in the response to other forms of stress, the acetaldehyde exchange between the two strains could play an important role in inhibiting some yeast strains and allowing the growth of others. Such interactions could be of particular importance in understanding the ecology of the colonization of complex fermentation media by S. cerevisiae.     

A comparison of clinical and food Saccharomyces cerevisiae isolates on the basis of potential virulence factors

Saccharomyces cerevisiae is the most widely used yeast in industrial/commercial food and beverage production and is even consumed as a nutritional supplement. Various cases of fungemia caused by this yeast species in severely debilitated traumatized or immune-deficient patients have been reported in recent years, suggesting that this species could be an opportunistic pathogen in such patients. To determine whether the industrial S. cerevisiae strains can be included in this virulent group of strains, we carried out a comparative study between clinical and industrial yeasts based on the various phenotypic traits associated with pathogenicity in two other yeast species (Candida albicans and Cryptococcus neoformans). The majority of the clinical isolates were found to secrete higher levels of protease and phospholipase, grow better at 42°C and show strong pseudohyphal growth relative to industrial yeasts. However three industrial yeast strains, one commercial wine strain, baker’s yeast and one commercial strain of S. cerevisiae (var. boulardii), were exceptions and based on their physiological traits these yeasts would appear to be related to clinical strains.     

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

Yeast population used in industrial production of fuel-ethanol may vary according to the plant process condition and to the environmental stresses imposed to yeast cells. Therefore, yeast strains isolated from a particular industrial process may be adapted to such conditions and should be used as starter strain instead of less adapted commercial strains. This work reports the use of PCR-fingerprinting method based on microsatellite primer (GTG)₅ to characterize the yeast population dynamics along 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 dominate the yeast population and were more 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 fuel-ethanol producing process.     

Large-scale mutagenesis: yeast genetics in the genome era

The completion of the DNA sequence of the budding yeast Saccharomyces cerevisiae resulted in the identification of a large number of genes. However, the function of most of these genes is not known. One of the best ways to determine gene function is to carry out mutational and phenotypic analysis. In recent years, several approaches have been developed for the mutational analysis of yeast genes on a large scale. These include transposon-based insertional mutagenesis, and systematic deletions using PCR-based approaches. These projects have produced collections of yeast strains and plasmid alleles that can be screened using novel approaches. Analysis of these collections by the scientific community promises to reveal a great deal of biological information about this organism.     

A systems-level approach for metabolic engineering of yeast cell factories

The generation of novel yeast cell factories for production of high-value industrial biotechnological products relies on three metabolic engineering principles: design, construction, and analysis. In the last two decades, strong efforts have been put on developing faster and more efficient strategies and/or technologies for each one of these principles. For design and construction, three major strategies are described in this review: (1) rational metabolic engineering; (2) inverse metabolic engineering; and (3) evolutionary strategies. Independent of the selected strategy, the process of designing yeast strains involves five decision points: (1) choice of product, (2) choice of chassis, (3) identification of target genes, (4) regulating the expression level of target genes, and (5) network balancing of the target genes. At the construction level, several molecular biology tools have been developed through the concept of synthetic biology and applied for the generation of novel, engineered yeast strains. For comprehensive and quantitative analysis of constructed strains, systems biology tools are commonly used and using a multi-omics approach. Key information about the biological system can be revealed, for example, identification of genetic regulatory mechanisms and competitive pathways, thereby assisting the in silico design of metabolic engineering strategies for improving strain performance. Examples on how systems and synthetic biology brought yeast metabolic engineering closer to industrial biotechnology are described in this review, and these examples should demonstrate the potential of a systems-level approach for fast and efficient generation of yeast cell factories.     

Identification of target genes conferring ethanol stress tolerance to Saccharomyces cerevisiae based on DNA microarray data analysis

During industrial production process using yeast, cells are exposed to the stress due to the accumulation of ethanol, which affects the cell growth activity and productivity of target products, thus, the ethanol stress-tolerant yeast strains are highly desired. To identify the target gene(s) for constructing ethanol stress tolerant yeast strains, we obtained the gene expression profiles of two strains of Saccharomyces cerevisiae, namely, a laboratory strain and a strain used for brewing Japanese rice wine (sake), in the presence of 5% (v/v) ethanol, using DNA microarray. For the selection of target genes for breeding ethanol stress tolerant strains, clustering of DNA microarray data was performed. For further selection, the ethanol sensitivity of the knockout mutants in each of which the gene selected by DNA microarray analysis is deleted, was also investigated. The integration of the DNA microarray data and the ethanol sensitivity data of knockout strains suggests that the enhancement of expression of genes related to tryptophan biosynthesis might confer the ethanol stress tolerance to yeast cells. Indeed, the strains overexpressing tryptophan biosynthesis genes showed a stress tolerance to 5% ethanol. Moreover, the addition of tryptophan to the culture medium and overexpression of tryptophan permease gene conferred ethanol stress tolerance to yeast cells. These results indicate that overexpression of the genes for trypophan biosynthesis increases the ethanol stress tolerance. Tryptophan supplementation to culture and overexpression of the tryptophan permease gene are also effective for the increase in ethanol stress tolerance. Our methodology for the selection of target genes for constructing ethanol stress tolerant strains, based on the data of DNA microarray analysis and phenotypes of knockout mutants, was validated.     

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.     

Industrial production of heterologous proteins by fed-batch cultures of the yeast Saccharomyces cereuisiae

Abstract: This review concerns the issues involved in the industrial development of fed-batch culture processes with Saccharomyces cereriviae strains producing heterologous proteins. Most of process development considerations with fed-batch recombinant cultures are linked to the reliability and reproducibility of the process for manufacturing environments where quality assurance and quality control aspects are paramount. In this respect, the quality, safety and efficacy of complex biologically active molecules produced by recombinant techniques are strongly influenced by the genetic background of the host strain, genetic stability of the transformed strain and production process factors. An overview of the recent literature of these culture-related factors is coupled with our experience in yeast fed-batch process development for producing various therapeutic grade proteins. The discussion is based around three principal topics: genetics, microbial physiology and fed-batch process design. It includes the fundamental aspects of yeast strain physiology, the nature of the recombinant product, quality control aspects of the biological product, features of yeast expression vectors, expression and localization of recombinant products in transformed cells and fed-batch process considerations for the industrial production of Saccharomyces cerevisiae recombinant proteins. It is our purpose that this review will provide a comprehensive understanding of the fed-batch recombinant production processes and challenges commonly encountered during process development.