Yeast as a drug discovery platform in Huntington's and Parkinson's diseases

The high degree of conservation of cellular and molecular processes between the budding yeast Saccharomyces cerevisiae and higher eukaryotes have made it a valuable system for numerous studies of the basic mechanisms behind devastating illnesses such as cancer, infectious disease, and neurodegenerative disorders. Several studies in yeast have already contributed to our basic understanding of cellular dysfunction in both Huntington's and Parkinson's disease. Functional genomics approaches currently being undertaken in yeast may lead to novel insights into the genes and pathways that modulate neuronal cell dysfunction and death in these diseases. In addition, the budding yeast constitutes a valuable system for identification of new drug targets, both via target-based and non-target-based drug screening. Importantly, yeast can be used as a cellular platform to analyze the cellular effects of candidate compounds, which is critical for the development of effective therapeutics. While the molecular mechanisms that underlie neurodegeneration will ultimately have to be tested in neuronal and animal models, there are several distinct advantages to using simple model organisms to elucidate fundamental aspects of protein aggregation, amyloid toxicity, and cellular dysfunction. Here, we review recent studies that have shown that amyloid formation by disease-causing proteins and many of the resulting cellular deficits can be faithfully recapitulated in yeast. In addition, we discuss new yeast-based techniques for screening candidate therapeutic compounds for Huntington's and Parkinson's diseases.     

Saccharomyces sensu stricto as a model system for evolution and ecology

Baker's yeast, Saccharomyces cerevisiae, is not only an extensively used model system in genetics and molecular biology, it is an upcoming model for research in ecology and evolution. The available body of knowledge and molecular techniques make yeast ideal for work in areas such as evolutionary and ecological genomics, population genetics, microbial biogeography, community ecology and speciation. As long as ecological information remains scarce for this species, the vast amount of data that is being generated using S. cerevisiae as a model system will remain difficult to interpret in an evolutionary context. Here we review the current knowledge of the evolution and ecology of S. cerevisiae and closely related species in the Saccharomyces sensu stricto group, and suggest future research directions.     

Use of yeast as a system to study amyloid toxicity

The formation of amyloid-like fibrils is a hallmark of several neurodegenerative diseases. How the assembly of amyloid-like fibrils contributes to cell death is a major unresolved question in the field. The budding yeast Saccharomyces cerevisiae is a powerful model organism to study basic mechanisms for how cellular pathways regulate amyloid assembly and proteotoxicity. For example, studies of the amyloidogenic yeast prion [RNQ(+)] have revealed novel roles by which molecular chaperones protect cells from the accumulation of cytotoxic protein species. In budding yeast there are a variety of cellular assays that can be employed to analyze the assembly of amyloid-like aggregates and mechanistically dissect how cellular pathways influence proteotoxicity. In this review, we describe several assays that are routinely used to investigate aggregation and toxicity of the [RNQ(+)] prion in yeast.     

From drug to protein: using yeast genetics for high-throughput target discovery

The budding yeast Saccharomyces cerevisiae has long been an effective eukaryotic model system for understanding basic cellular processes. The genetic tractability and ease of manipulation in the laboratory make yeast well suited for large-scale chemical and genetic screens. Several recent studies describing the use of yeast genetics for high-throughput drug target identification are discussed in this review.     

Candida albicans, a distinctive fungal model for cellular aging study

The unicellular eukaryotic organisms represent the popular model systems to understand aging in eukaryotes. Candida albicans, a polymorphic fungus, appears to be another distinctive unicellular aging model in addition to the budding yeast Saccharomyces cerevisiae and fission yeast Schizosaccharomyces pombe. The two types of Candida cells, yeast (blastospore) form and hyphal (filamentous) form, have similar replicative lifespan. Taking the advantage of morphologic changes, we are able to obtain cells of different ages. Old Candida cells tend to accumulate glycogen and oxidatively damaged proteins. Deletion of the SIR2 gene causes a decrease of lifespan, while insertion of an extra copy of SIR2 extends lifespan, indicating that like in S. cerevisiae, Sir2 regulates cellular aging in C. albicans. Interestingly, Sir2 deletion does not result in the accumulation of extra-chromosomal rDNA molecules, but influences the retention of oxidized proteins in mother cells, suggesting that the extra-chromosomal rDNA molecules may not be associated with cellular aging in C. albicans. This novel aging model, which allows efficient large-scale isolation of old cells, may facilitate biochemical characterizations and genomics/proteomics studies of cellular aging, and help to verify the aging pathways observed in other organisms including S. cerevisiae.     

A short history of recombination in yeast

Despite it being the darling of fungal genomics, we know little about either the ecology or reproductive biology of the budding yeast, Saccharomyces cerevisiae, in nature. A recent study by Ruderfer et al. estimated that the ancestors of three S. cerevisiae genomes outcrossed approximately once every 50,000 generations, confirming the view that outcrossing is infrequent in natural populations of S. cerevisiae. This study also inferred the genomic positions of past recombination events. By comparing past recombination events with present-day recombination rates, this study lays the groundwork for determining whether recombination has improved the long-term survival of descendant lineages by bringing together favorable alleles, a longstanding question in evolutionary genetics.     

Emerging technologies in yeast genomics

The genomic revolution is undeniable: in the past year alone, the term 'genomics' was found in nearly 500 research articles, and at least 6 journals are devoted solely to genomic biology. More than just a buzzword, molecular biology has genuinely embraced genomics (the systematic, large-scale study of genomes and their functions). With its facile genetics, the budding yeast Saccharomyces cerevisiae has emerged as an important model organism in the development of many current genomic methodologies. These techniques have greatly influenced the manner in which biology is studied in yeast and in other organisms. In this review, we summarize the most promising technologies in yeast genomics.     

酿酒酵母的"组学"技术研究进展及其在工程菌株构建中的应用

酿酒酵母是真核模式生物,已被广泛用于 "组学"水平的研究。"组学"技术主要由基因组学、转录组学、蛋白质组学及代谢组学构成。综述了酵母菌"组学"的研究进展,并论述了酵母菌"组学"技术在酵母菌菌株改造中的应用,包括酒类及生物燃料乙醇工业生产菌株的基因工程改造等。     

Central roles of small GTPases in the development of cell polarity in yeast and beyond.

Summary: The establishment of cell polarity is critical for the development of many organisms and for the function of many cell types. A large number of studies of diverse organisms from yeast to humans indicate that the conserved, small-molecular-weight GTPases function as key signaling proteins involved in cell polarization. The budding yeast Saccharomyces cerevisiae is a particularly attractive model because it displays pronounced cell polarity in response to intracellular and extracellular cues. Cells of S. cerevisiae undergo polarized growth during various phases of their life cycle, such as during vegetative growth, mating between haploid cells of opposite mating types, and filamentous growth upon deprivation of nutrition such as nitrogen. Substantial progress has been made in deciphering the molecular basis of cell polarity in budding yeast. In particular, it becomes increasingly clear how small GTPases regulate polarized cytoskeletal organization, cell wall assembly, and exocytosis at the molecular level and how these GTPases are regulated. In this review, we discuss the key signaling pathways that regulate cell polarization during the mitotic cell cycle and during mating.     

Yeast as a model for studying human neurodegenerative disorders

Protein misfolding and aggregation are central events in many disorders including several neurodegenerative diseases. This suggests that alterations in normal protein homeostasis may contribute to pathogenesis, but the exact molecular mechanisms involved are still poorly understood. The budding yeast Saccharomyces cerevisiae is one of the model systems of choice for studies in molecular medicine. Modeling human neurodegenerative diseases in this simple organism has already shown the incredible power of yeast to unravel the complex mechanisms and pathways underlying these pathologies. Indeed, this work has led to the identification of several potential therapeutic targets and drugs for many diseases, including the neurodegenerative diseases. Several features associated with these diseases, such as formation of protein aggregates, cellular toxicity mediated by misfolded proteins, oxidative stress and hallmarks of apoptosis have been faithfully recapitulated in yeast, enabling researchers to take advantage of this powerful model to rapidly perform genetic and compound screens with the aim of identifying novel candidate therapeutic targets and drugs. Here we review the work undertaken to model human brain disorders in yeast, and how these models provide insight into novel therapeutic approaches for these diseases.     

Functional genomics in the study of yeast cell polarity: moving in the right direction

The budding yeast Saccharomyces cerevisiae has been used extensively for the study of cell polarity, owing to both its experimental tractability and the high conservation of cell polarity and other basic biological processes among eukaryotes. The budding yeast has also served as a pioneer model organism for virtually all genome-scale approaches, including functional genomics, which aims to define gene function and biological pathways systematically through the analysis of high-throughput experimental data. Here, we outline the contributions of functional genomics and high-throughput methodologies to the study of cell polarity in the budding yeast. We integrate data from published genetic screens that use a variety of functional genomics approaches to query different aspects of polarity. Our integrated dataset is enriched for polarity processes, as well as some processes that are not intrinsically linked to cell polarity, and may provide new areas for future study.     

The spindle cycle in budding yeast

The mitotic spindle of the budding yeast Saccharomyces cerevisiae will probably be the first such organelle to be understood in molecular detail. Here we describe the mitotic spindle cycle of budding yeast using electron-microscope-derived structures and dynamic live-cell imaging. Recent work has revealed that many general aspects of mitosis are conserved, making budding yeast an excellent model for the study of mitosis.     

Hierarchical modularity and the evolution of genetic interactomes across species

To date, cross-species comparisons of genetic interactomes have been restricted to small or functionally related gene sets, limiting our ability to infer evolutionary trends. To facilitate a more comprehensive analysis, we constructed a genome-scale epistasis map (E-MAP) for the fission yeast Schizosaccharomyces pombe, providing phenotypic signatures for ~60% of the nonessential genome. Using these signatures, we generated a catalog of 297 functional modules, and we assigned function to 144 previously uncharacterized genes, including mRNA splicing and DNA damage checkpoint factors. Comparison with an integrated genetic interactome from the budding yeast Saccharomyces cerevisiae revealed a hierarchical model for the evolution of genetic interactions, with conservation highest within protein complexes, lower within biological processes, and lowest between distinct biological processes. Despite the large evolutionary distance and extensive rewiring of individual interactions, both networks retain conserved features and display similar levels of functional crosstalk between biological processes, suggesting general design principles of genetic interactomes.     

The rise of yeast population genomics

Genome sequences of multiple individuals are essential to determine the forces shaping sequence variation as well as to understand the relationship between genotype and phenotype. Because of their wide ecological, geographical and genetic diversity, yeast species represent an ideal model system for population genomics. Recently, there has been a renewed interest in characterizing the genetic diversity within yeast species such as Saccharomyces cerevisiae and Saccharomyces paradoxus. Here, we review recent progress in the exploration of the intraspecific diversity using large collections of yeast isolates. These recent large-scale polymorphism surveys have increased our understanding of the population structures as well as the evolutionary history of the species. In addition, these resources represent a powerful framework for dissecting the relationship between genotype and phenotype.     

High-throughput genetic interaction mapping in the fission yeast Schizosaccharomyces pombe

Epistasis analysis, which reports on the extent to which the function of one gene depends on the presence of a second, is a powerful tool for studying the functional organization of the cell. Systematic genome-wide studies of epistasis, however, have been limited, with the majority of data being collected in the budding yeast, Saccharomyces cerevisiae. Here we present two 'pombe epistasis mapper' strategies, PEM-1 and PEM-2, which allow for high-throughput double mutant generation in the fission yeast, S. pombe. These approaches take advantage of a previously undescribed, recessive, cycloheximide-resistance mutation. Both systems can be used for genome-wide screens or for the generation of high-density, quantitative epistatic miniarray profiles (E-MAPs). Since S. cerevisiae and S. pombe are evolutionary distant, this methodology will provide insight into conserved biological pathways that are present in S. pombe, but not S. cerevisiae, and will enable a comprehensive analysis of the conservation of genetic interaction networks.     

Yeast as a model system for studying endocytosis.

Endocytosis is the membrane trafficking process by which plasma membrane components and extracellular material are internalized into cytoplasmic vesicles and delivered to early and late endosomes, eventually either recycling back to the plasma membrane or arriving at the lysosome/vacuole. The budding yeast Saccharomyces cerevisiae has proven to be an invaluable system for identifying proteins involved in endocytosis and elucidating the mechanisms underlying internalization and postinternalization events. Through genetic studies in yeast and biochemical studies in mammalian cells, it has become apparent that multiple cellular processes are linked to endocytosis, including actin cytoskeletal dynamics, ubiquitylation, lipid modification, and signal transduction. In this review, we will highlight the most exciting recent findings in the field of yeast endocytosis. Specifically, we will address the involvement of the actin cytoskeleton in internalization, the role of ubiquitylation as a regulator of multiple steps of endocytosis in yeast, and the sorting of endocytosed proteins into the recycling and vacuolar pathways.     

生态基因组学研究进展

生态基因组学是一个整合生态学、分子遗传学和进化基因组学的新兴交叉学科。生态基因组学将基因组学的研究手段和方法引入生态学领域,通过将群体基因组学、转录组学、蛋白质组学等手段与方法将个体、种群及群落、生态系统不同层次的生态学相互作用整合起来,确定在生态学响应及相互作用中具有重要意义的关键的基因和遗传途径,阐明这些基因及遗传途径变异的程度及其生态和进化后果的特征,从基因水平探索有机体响应天然环境(包括生物与非生物的环境因子)的遗传学机制。生态基因组学的研究对象可以分为模式生物与非模式生物两大类。拟南芥、酿酒酵母等模式生物在生态基因组学领域发挥了重要作用。随着越来越多基因组学技术的开发与完善,越来越多的非模式生物生态基因组学的研究将为生态学的发展提供重要的理论与实践依据。生态基因组学最核心的方法包括寻找序列变异、研究基因差异表达和分析基因功能等方法。生态基因组学已广泛渗透到生态学的相关领域中,将会在生物对环境的响应、物种间的相互作用、进化生态学、全球变化生态学、入侵生态学、群落生态学等研究领域发挥更大的作用。     

Evolutionary engineering of Saccharomyces cerevisiae for improved industrially important properties

This article reviews evolutionary engineering of Saccharomyces cerevisiae. Following a brief introduction to the 'rational' metabolic engineering approach and its limitations such as extensive genetic and metabolic information requirement on the organism of interest, complexity of cellular physiological responses, and difficulties of cloning in industrial strains, evolutionary engineering is discussed as an alternative, inverse metabolic engineering strategy. Major evolutionary engineering applications with S. cerevisiae are then discussed in two general categories: (1) evolutionary engineering of substrate utilization and product formation and (2) evolutionary engineering of stress resistance. Recent developments in functional genomics methods allow rapid identification of the molecular basis of the desired phenotypes obtained by evolutionary engineering. To conclude, when used alone or in combination with rational metabolic engineering and/or computational methods to study and analyze processes of adaptive evolution, evolutionary engineering is a powerful strategy for improvement in industrially important, complex properties of S. cerevisiae.     

Fungal genome sequencing: basic biology to biotechnology

The genome sequences provide a first glimpse into the genomic basis of the biological diversity of filamentous fungi and yeast. The genome sequence of the budding yeast, Saccharomyces cerevisiae, with a small genome size, unicellular growth, and rich history of genetic and molecular analyses was a milestone of early genomics in the 1990s. The subsequent completion of fission yeast, Schizosaccharomyces pombe and genetic model, Neurospora crassa initiated a revolution in the genomics of the fungal kingdom. In due course of time, a substantial number of fungal genomes have been sequenced and publicly released, representing the widest sampling of genomes from any eukaryotic kingdom. An ambitious genome-sequencing program provides a wealth of data on metabolic diversity within the fungal kingdom, thereby enhancing research into medical science, agriculture science, ecology, bioremediation, bioenergy, and the biotechnology industry. Fungal genomics have higher potential to positively affect human health, environmental health, and the planet’s stored energy. With a significant increase in sequenced fungal genomes, the known diversity of genes encoding organic acids, antibiotics, enzymes, and their pathways has increased exponentially. Currently, over a hundred fungal genome sequences are publicly available; however, no inclusive review has been published. This review is an initiative to address the significance of the fungal genome-sequencing program and provides the road map for basic and applied research.