Functional analysis of pathogenicity genes in a genomics world

Genome-wide mutational and expression analyses have been performed in yeast and provide a model for large-scale analysis of gene function in filamentous fungi. The recent completion of the Neurospora crassa genome offers a resource for comparative analysis with plant pathogenic filamentous fungi. These advances have important implications for molecular genetic studies of pathogenicity genes.     

Genome-wide mutant collections: toolboxes for functional genomics

The sequencing of entire genomes has led to the identification of many genes. A future challenge will be to determine the function of all of the genes of an organism. One of the best ways to ascertain function is to disrupt genes and determine the phenotype of the resulting organism. Novel large-scale approaches for generating gene disruptions and analyzing the resulting phenotype are underway in the budding yeast Saccharomyces cerevisiae and other organisms including flies, Mycoplasma, worms, plants and mice. These approaches and mutant collections will be extremely valuable to the scientific community and will dramatically alter the manner in which science is performed in the future.     

Genetic method to analyze essential genes of Escherichia coli

The genetic analysis of essential genes has been generally restricted to the use of conditional mutations, or inactivating chromosomal mutations, which require a complementing plasmid that must either be counterselected or lost to measure a phenotype. These approaches are limited because they do not permit the analysis of mutations suspected to affect a specific function of a protein, nor do they take advantage of the increasing abundance of structural and bioinformatics data for proteins. Using the dnaC gene as an example, we developed a genetic method that should permit the mutational analysis of other essential genes of Escherichia coli and related enterobacteria. The method consists of using a strain carrying a large deletion of the dnaC gene, which is complemented by a wild-type copy expressed from a plasmid that requires isopropyl-beta-d-thiogalactopyranoside for maintenance. Under conditions in which this resident plasmid is lost, the method measures the function of a dnaC mutation encoded by a second plasmid. This methodology should be widely applicable to the genetic analysis of other essential genes.     

转座子相关技术在微生物功能基因组研究中的应用

转座子是DNA插入因子的一种,是指能在基因组间或组内跳跃的DNA片段。转座子作为插入突变剂或分子标签已被广泛地应用于基因的分离和克隆,且因其独特的性质已成为发现新基因和基因功能分析的有效工具。这使得转座子无论是在单基因水平还是全基因组水平,都成为细菌、酵母和其他微生物研究的有力工具。简单而有效的体外转座反应可以对一些以往难以进行分析的顽固微生物进行转座诱变分析。而建立在转座子基础上的信号标签诱变技术和遗传足迹法的应用则发现了一些新的病原微生物毒力因子,从而可以更好地对这些病原微生物的致病机理进行阐述。这些再次说明转座子是微生物功能基因组研究中的有力工具。本文综述了转座子及其衍生载体介导的一些技术,并讨论其在微生物功能基因组研究中的应用。     

New yeast genes important for chromosome integrity and segregation identified by dosage effects on genome stability.

Phenotypes produced by gene overexpression may provide important clues to gene function. Here, we have performed a search for genes that affect chromo-some stability when overexpressed in the budding yeast Saccharomyces cerevisiae. We have obtained clones encompassing 30 different genes. Twenty-four of these genes have been previously characterized. Most of them are involved in chromatin dynamics, cell cycle control, DNA replication or mitotic chromosome segregation. Six novel genes obtained in this screen were named CST (chromosome stability). Based on the pattern of genomic instability, inter-action with checkpoint mutations and sensitivity to chromosome replication or segregation inhibitors, we conclude that overexpression of CST4 specifically interferes with mitotic chromosome segregation, and CST6 affects some aspect of DNA metabolism. The other CST genes had complex pleiotropic phenotypes. We have created deletions of five genes obtained in this screen, CST9, CST13, NAT1, SBA1 and FUN30. None of these genes is essential for viability, and deletions of NAT1 and SBA1 cause chromosome instability, a phenotype not previously associated with these genes. This work shows that analysis of dosage effects is complementary to mutational analysis of chromosome transmission fidelity, as it allows the identification of chromosome stability genes that have not been detected in mutational screens.     

Systematic identification of gene annotation errors in the widely used yeast mutation collections

The baker's yeast mutation collections are extensively used genetic resources that are the basis for many genome-wide screens and new technologies. Anecdotal evidence has previously pointed to the putative existence of a neighboring gene effect (NGE) in these collections. NGE occurs when the phenotype of a strain carrying a particular perturbed gene is due to the lack of proper function of its adjacent gene. Here we performed a large-scale study of NGEs, presenting a network-based algorithm for detecting NGEs and validating software predictions using complementation experiments. We applied our approach to four datasets uncovering a similar magnitude of NGE in each (7-15%). These results have important consequences for systems biology, as the mutation collections are extensively used in almost every aspect of the field, from genetic network analysis to functional gene annotation.     

hCOX18 and hCOX19: two human genes involved in cytochrome c oxidase assembly

We identified the human homologues of yCOX18 and yCOX19, two Saccharomyces cerevisiae genes involved in the biogenesis of mitochondrial respiratory chain complexes. In yeast, these two genes are required for the expression of cytochrome c oxidase: Cox18p catalyses the insertion of Cox2p COOH-tail into the mitochondrial inner membrane, and Cox19p is probably involved in metal transport to the intermembrane space. Both hCox18p and hCox19p present significant amino acid identity with the corresponding yeast polypeptides and reveal highly conserved functional domains. In addition, their subcellular localization is analogous to that of the yeast proteins. These data strongly suggest that the human gene products share similar functions with their yeast homologues. These two COX-assembly genes represent new candidates for mutational analysis in patients with isolated COX deficiency of unknown etiology.     

Evolution of codon usage patterns: the extent and nature of divergence between Candida albicans and Saccharomyces cerevisiae.

Codon usage in a sample of 28 genes from the pathogenic yeast Candida albicans has been analysed using multivariate statistical analysis. A major trend among genes, correlated with gene expression level, was identified. We have focussed on the extent and nature of divergence between C.albicans and the closely related yeast Saccharomyces cerevisiae. It was recently suggested that significant differences exist between the subsets of preferred codons in these two species [Brown et al. (1991) Nucleic Acids Res. 19, 4293]. Overall, the genes of C.albicans are more A + T-rich, reflecting the lower genomic G + C content of that species, and presumably resulting from a different pattern of mutational bias. However, in both species highly expressed genes preferentially use the same subset of 'optimal' codons. A suggestion that the low frequency of NCG codons in both yeast species results from selection against the presence of codons that are potentially highly mutable is discounted. Codon usage in C.albicans, as in other unicellular species, can be interpreted as the result of a balance between the processes of mutational bias and translational selection. Codon usage in two related Candida species, C.maltosa and C.tropicalis, is briefly discussed.     

The uses of genome-wide yeast mutant collections

We assess five years of usage of the major genome-wide collections of mutants from Saccharomyces cerevisiae: single deletion mutants, double mutants conferring 'synthetic' lethality and the 'TRIPLES' collection of mutants obtained by random transposon insertion. Over 100 experimental conditions have been tested and more than 5,000 novel phenotypic traits have been assigned to yeast genes using these collections.     

Fine Structure Recombinational Analysis of Cloned Genes Using Yeast Transformation

We describe a general method for analyzing the genetic fine structure of plasmid-borne genes in yeast. Previously we had reported that a linearized plasmid is efficiently rescued by recombination with a homologous restriction fragment when these are co-introduced by DNA-mediated transformation of yeast. Here, we show that a mutation can be localized to a small DNA interval when members of a deletion series of wild-type restriction fragments are used in the rescue of a linearized mutant plasmid. The resolution of this method is to at least 30 base pairs and is limited by the loss of a wild-type marker with proximity to a free DNA end. As a means for establishing the nonidentity of two mutations, we determined the resolution of two-point crosses with a mutant linearized plasmid and a mutant homologous restriction fragment. Recombination between mutations separated by as little as 100 base pairs was detected. Moreover, the results indicate that exchange within a marked interval results primarily from one of two single crossovers that repair the linearized plasmid. These approaches to mapping the genetic fine structure of plasmids should join existing methods in a robust approach to the mutational analysis of gene structure in yeast.     

It's the machine that matters: Predicting gene function and phenotype from protein networks

Increasing knowledge about the organization of proteins into complexes, systems, and pathways has led to a flowering of theoretical approaches for exploiting this knowledge in order to better learn the functions of proteins and their roles underlying phenotypic traits and diseases. Much of this body of theory has been developed and tested in model organisms, relying on their relative simplicity and genetic and biochemical tractability to accelerate the research. In this review, we discuss several of the major approaches for computationally integrating proteomics and genomics observations into integrated protein networks, then applying guilt-by-association in these networks in order to identify genes underlying traits. Recent trends in this field include a rising appreciation of the modular network organization of proteins underlying traits or mutational phenotypes, and how to exploit such protein modularity using computational approaches related to the internet search algorithm PageRank. Many protein network-based predictions have recently been experimentally confirmed in yeast, worms, plants, and mice, and several successful approaches in model organisms have been directly translated to analyze human disease, with notable recent applications to glioma and breast cancer prognosis.     

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.     

Construction, verification and experimental use of two epitope-tagged collections of budding yeast strains

A major challenge in the post-genomic era is the development of experimental approaches to monitor the properties of proteins on a proteome-wide level. It would be particularly useful to systematically assay protein subcellular localization, post-translational modifications and protein-protein interactions, both at steady state and in response to environmental stimuli. Development of new reagents and methods will enhance our ability to do so efficiently and systematically. Here we describe the construction of two collections of budding yeast strains that facilitate proteome-wide measurements of protein properties. These collections consist of strains with an epitope tag integrated at the C-terminus of essentially every open reading frame (ORF), one with the tandem affinity purification (TAP) tag, and one with the green fluorescent protein (GFP) tag. We show that in both of these collections we have accurately tagged a high proportion of all ORFs (approximately 75% of the proteome) by confirming expression of the fusion proteins. Furthermore, we demonstrate the use of the TAP collection in performing high-throughput immunoprecipitation experiments. Building on these collections and the methods described in this paper, we hope that the yeast community will expand both the quantity and type of proteome level data available.