Large-scale functional genomic analysis of sporulation and meiosis in Saccharomyces cerevisiae

We have used a single-gene deletion mutant bank to identify the genes required for meiosis and sporulation among 4323 nonessential Saccharomyces cerevisiae annotated open reading frames (ORFs). Three hundred thirty-four sporulation-essential genes were identified, including 78 novel ORFs and 115 known genes without previously described sporulation defects in the comprehensive Saccharomyces Genome (SGD) or Yeast Proteome (YPD) phenotype databases. We have further divided the uncharacterized sporulation-essential genes into early, middle, and late stages of meiosis according to their requirement for IME1 induction and nuclear division. We believe this represents a nearly complete identification of the genes uniquely required for this complex cellular pathway. The set of genes identified in this phenotypic screen shows only limited overlap with those identified by expression-based studies.     

Re-Annotation of Protein-Coding Genes in the Genome of Saccharomyces cerevisiae Based on Support Vector Machines

The annotation of the well-studied organism, Saccharomyces cerevisiae, has been improving over the past decade while there are unresolved debates over the amount of biologically significant open reading frames (ORFs) in yeast genome. We revisited the total count of protein-coding genes in S. cerevisiae S288c genome using a theoretical approach by combining the Support Vector Machine (SVM) method with six widely used measurements of sequence statistical features. The accuracy of our method is over 99.5% in 10-fold cross-validation. Based on the annotation data in Saccharomyces Genome Database (SGD), we studied the coding capacity of all 1744 ORFs which lack experimental results and suggested that the overall number of chromosomal ORFs encoding proteins in yeast should be 6091 by removing 488 spurious ORFs. The importance of the present work lies in at least two aspects. First, cross-validation and retrospective examination showed the fidelity of our method in recognizing ORFs that likely encode proteins. Second, we have provided a web service that can be accessed at http://cobi.uestc.edu.cn/services/yeast/, which enables the prediction of protein-coding ORFs of the genus Saccharomyces with a high accuracy.     

AgTHR4, a new selection marker for transformation of the filamentous fungusAshbya gossypii,maps in a four-gene cluster that is conserved betweenA. gossypii andSaccharomyces cerevisiae

Single-read sequence analysis of the termini of eight randomly picked clones ofAshbya gossypii genomic DNA revealed seven sequences with homology toSaccharomyces cerevisiae genes (15% to 69% on the amino acid level). One of these sequences appeared to code for the carboxy-terminus of threonine synthase, the product of theS. cerevisiae THR4 gene (52.4% identity over 82 amino acids). We cloned and sequenced the complete putativeAgTHR4 gene ofA. gossypii. It comprises 512 codons, two less than theS. cerevisiae THR4 gene. Overall identity at the amino acid sequence level is 67.4%. A continuous stretch of 32 amino acids displaying complete identity between these two fungal threonine synthases presumably contains the pyridoxal phosphate attachment site. Disruption of theA. gossypii gene led to threonine auxotrophy, which could be complemented by transformation with replicating plasmids carrying theAgTHR4 gene and variousS. cerevisiae ARS elements. Using these plasmids only very weak complementation of aS. cerevisiae thr4 mutation was observed. Investigation of sequences adjacent to theAgTHR4 gene identified three additional ORFs. Surprisingly, the order and orientation of these four ORFs is conserved inA. gossypii andS. cerevisiae.     

Microbial genes homologous to the peptidyl-tRNA hydrolase-encoding gene of Escherichia coli

We have cloned and determined the nucleotide (nt) sequences of the genes encoding peptidyl-tRNA hydrolase (Pth) homologues of Salmonella typhi (St) and the Lyme disease spirochaete, Borrelia burgdorferi (Bb). We also completed the nt sequence of a pth homologous gene contained in a Chlamydia trachomatis (Ct) clone identified in the databanks. The open reading frames (ORFs) of the Pth homologues encode putative polypeptides of 194 (St), 188 (Bb) and 194 (Ct) amino acids exhibiting significant identity with Escherichia coli (Ec) Pth. Together with the products of two previously unidentified ORFs from Bacillus subtilis and Saccharomyces cerevisiae, and the recently recognized Haemophilus influenzae and Mycoplasma genitalium pth genes, these seven putative polypeptides and the Ec Pth form a group of homologous basic proteins spanning eubacteria and eukaryota which can be defined by at least three conserved regions. Previously known Ec pth mutations were located in highly conserved residues     

AgTHR4, a new selection marker for transformation of the filamentous fungusAshbya gossypii, maps in a four-gene cluster that is conserved betweenA. gossypii andSaccharomyces cerevisiae

Single-read sequence analysis of the termini of eight randomly picked clones ofAshbya gossypii genomic DNA revealed seven sequences with homology toSaccharomyces cerevisiae genes (15% to 69% on the amino acid level). One of these sequences appeared to code for the carboxy-terminus of threonine synthase, the product of theS. cerevisiae THR4 gene (52.4% identity over 82 amino acids). We cloned and sequenced the complete putativeAgTHR4 gene ofA. gossypii. It comprises 512 codons, two less than theS. cerevisiae THR4 gene. Overall identity at the amino acid sequence level is 67.4%. A continuous stretch of 32 amino acids displaying complete identity between these two fungal threonine synthases presumably contains the pyridoxal phosphate attachment site. Disruption of theA. gossypii gene led to threonine auxotrophy, which could be complemented by transformation with replicating plasmids carrying theAgTHR4 gene and variousS. cerevisiae ARS elements. Using these plasmids only very weak complementation of aS. cerevisiae thr4 mutation was observed. Investigation of sequences adjacent to theAgTHR4 gene identified three additional ORFs. Surprisingly, the order and orientation of these four ORFs is conserved inA. gossypii andS. cerevisiae.     

Predicting phenotype from patterns of annotation

MOTIVATION:Predicting the outcome of specific experiments (such as the growth of a particular mutant strain in a particular medium) has the potential to allow researchers to devote resources to experiments with higher expected numbers of 'hits'. RESULTS: We use decision trees to predict phenotypes associated with Saccharomyces cerevisiae genes on the basis of Gene Ontology (GO) functional annotations from the Saccharomyces Genome Database (SGD) and other phenotypic annotations from the Yeast Phenotype Catalog at the Munich Information Center for Protein Sequences (MIPS). We assess the methodology in three ways: (1) we use cross-validation on the phenotypic annotations listed in MIPS, and show ROC curves indicating the tradeoff between true-positive rate and false-positive rate; (2) we do a literature-search for 100 of the predicted gene-phenotype associations that are not listed in MIPS, and find evidence for 43 of them; (3) we use deletion strains to experimentally assess 61 predicted gene-phenotype associations not listed in MIPS; significantly more of these deletion strains show abnormal growth than would be expected by chance.     

SGD: Saccharomyces Genome Database.

The Saccharomyces Genome Database (SGD) provides Internet access to the complete Saccharomyces cerevisiae genomic sequence, its genes and their products, the phenotypes of its mutants, and the literature supporting these data. The amount of information and the number of features provided by SGD have increased greatly following the release of the S.cerevisiae genomic sequence, which is currently the only complete sequence of a eukaryotic genome. SGD aids researchers by providing not only basic information, but also tools such as sequence similarity searching that lead to detailed information about features of the genome and relationships between genes. SGD presents information using a variety of user-friendly, dynamically created graphical displays illustrating physical, genetic and sequence feature maps. SGD can be accessed via the World Wide Web at http://genome-www.stanford.edu/Saccharomyces/     

Tackling an essential problem in functional proteomics of <Emphasis Type="Italic">Saccharomyces cerevisiae</Emphasis>

Gene inactivation is the cornerstone of functional genetic analysis, but the analysis of essential genes requires conditional inactivation of the gene product. A new study has adapted a simple method for creating conditional alleles to allow large-scale analysis of essential genes in Saccharomyces cerevisiae and has identified a role in DNA replication for a newly identified protein complex.     

Using the Saccharomyces Genome Database (SGD) for analysis of protein similarities and structure.

The Saccharomyces Genome Database (SGD) collects and organizes information about the molecular biology and genetics of the yeast Saccharomyces cerevisiae. The latest protein structure and comparison tools available at SGD are presented here. With the completion of the yeast sequence and the Caenorhabditis elegans sequence soon to follow, comparison of proteins from complete eukaryotic proteomes will be an extremely powerful way to learn more about a particular protein's structure, its function, and its relationships with other proteins. SGD can be accessed through the World Wide Web at http://genome-www.stanford.edu/Saccharomyces/     

New data and collaborations at the Saccharomyces Genome Database: updated reference genome,alleles, and the Alliance of Genome Resources

Saccharomyces cerevisiae is used to provide fundamental understanding of eukaryotic genetics, gene product function, and cellular biological processes. Saccharomyces Genome Database (SGD) has been supporting the yeast research community since 1993, serving as its de facto hub. Over the years, SGD has maintained the genetic nomenclature, chromosome maps, and functional annotation, and developed various tools and methods for analysis and curation of a variety of emerging data types. More recently, SGD and six other model organism focused knowledgebases have come together to create the Alliance of Genome Resources to develop sustainable genome information resources that promote and support the use of various model organisms to understand the genetic and genomic bases of human biology and disease. Here we describe recent activities at SGD, including the latest reference genome annotation update, the development of a curation system for mutant alleles, and new pages addressing homology across model organisms as well as the use of yeast to study human disease.     

ORF organization and gene recognition in the yeast genome

Some rules on gene recognition and ORF organization in the Saccharomyces cerevisiae genome are demonstrated by statistical analyses of sequence data. This study includes: (a) The random frame rule-that the six reading frames W1, W2, W3, C1, C2 and C3 in the double-stranded genome are randomly occupied by ORFs (related phenomena on ORF overlapping are also discussed). (b) The inhomogeneity rule-coding and non-coding ORFs differ in inhomogeneity of base composition in the three codon positions. By use of the inhomogeneity index (IHI), one can make a distinction between coding (IHI > 14) and non-coding (IHI 相似文献   

Saccharomyces Genome Database (SGD) provides biochemical and structural information for budding yeast proteins

The Saccharomyces Genome Database (SGD: http://genome-www.stanford.edu/Saccharomyces/) has recently developed new resources to provide more complete information about proteins from the budding yeast Saccharomyces cerevisiae. The PDB Homologs page provides structural information from the Protein Data Bank (PDB) about yeast proteins and/or their homologs. SGD has also created a resource that utilizes the eMOTIF database for motif information about a given protein. A third new resource is the Protein Information page, which contains protein physical and chemical properties, such as molecular weight and hydropathicity scores, predicted from the translated ORF sequence.     

Assigning function to yeast proteins by integration of technologies

Interpreting genome sequences requires the functional analysis of thousands of predicted proteins, many of which are uncharacterized and without obvious homologs. To assess whether the roles of large sets of uncharacterized genes can be assigned by targeted application of a suite of technologies, we used four complementary protein-based methods to analyze a set of 100 uncharacterized but essential open reading frames (ORFs) of the yeast Saccharomyces cerevisiae. These proteins were subjected to affinity purification and mass spectrometry analysis to identify copurifying proteins, two-hybrid analysis to identify interacting proteins, fluorescence microscopy to localize the proteins, and structure prediction methodology to predict structural domains or identify remote homologies. Integration of the data assigned function to 48 ORFs using at least two of the Gene Ontology (GO) categories of biological process, molecular function, and cellular component; 77 ORFs were annotated by at least one method. This combination of technologies, coupled with annotation using GO, is a powerful approach to classifying genes.     

Complete nucleotide sequence of Saccharomyces cerevisiae chromosome X.

The complete nucleotide sequence of Saccharomyces cerevisiae chromosome X (745 442 bp) reveals a total of 379 open reading frames (ORFs), the coding region covering approximately 75% of the entire sequence. One hundred and eighteen ORFs (31%) correspond to genes previously identified in S. cerevisiae. All other ORFs represent novel putative yeast genes, whose function will have to be determined experimentally. However, 57 of the latter subset (another 15% of the total) encode proteins that show significant analogy to proteins of known function from yeast or other organisms. The remaining ORFs, exhibiting no significant similarity to any known sequence, amount to 54% of the total. General features of chromosome X are also reported, with emphasis on the nucleotide frequency distribution in the environment of the ATG and stop codons, the possible coding capacity of at least some of the small ORFs (<100 codons) and the significance of 46 non-canonical or unpaired nucleotides in the stems of some of the 24 tRNA genes recognized on this chromosome.     

Genome Sequence and Analysis of Buzura suppressaria Nucleopolyhedrovirus: A Group II Alphabaculovirus

The genome of Buzura suppressaria nucleopolyhedrovirus (BusuNPV) was sequenced by 454 pyrosequencing technology. The size of the genome is 120,420 bp with 36.8% G+C content. It contains 127 hypothetical open reading frames (ORFs) covering 90.7% of the genome and includes the 37 conserved baculovirus core genes, 84 genes found in other baculoviruses, and 6 unique ORFs. No typical baculoviral homologous repeats (hrs) were present but the genome contained a region of repeated sequences. Gene Parity Plots revealed a 28.8 kb region conserved among the alpha- and beta-baculoviruses. Overall comparisons of BusuNPV to other baculoviruses point to a distinct species in group II Alphabaculovirus.     

The intron of the mitochondrial 21S rRNA gene: distribution in different yeast species and sequence comparison between Kluyveromyces thermotolerans and Saccharomyces cerevisiae

We have screened numerous different yeast species for the presence of sequences homologous to the intron of the mitochondrial 21S rRNA gene of Saccharomyces cerevisiae (intron r1) and found them in all Kluyveromyces species, some of the Saccharomyces species and none of the other yeasts tested. We have determined the nucleotide sequence of the r1-intron in K. thermotolerans and compared it with that of S. cerevisiae. The two introns are inserted at the same position within the 21S rRNA gene. They contain homologous internal open reading frames (ORFs) initiated at the same AUG codon which can be aligned over their entire length. Several silent multi-substitutions indicate that these intronic ORFs represent selectively conserved functional genes. Other intron segments, on the contrary, reveal short blocks of extensive homology separated by non-homologous stretches and/or additions-deletions. Comparison of our two yeast r1-introns with equivalent introns of N. crassa and A. nidulans mitochondria reveals that introns with very similar RNA secondary structures can accommodate different types of ORFs.     

Exon-intron structure of genes in complete fungal genomes

Computer analysis of genes was performed for lower fungi Aspergillus fumigatus, Candida glabrata, Cryptococcus neoformans, Debaryomyces hansenii, Encephalitozoon cuniculi, Eremothecium gossypii, Kluyveromyces lactis, Magnaporthe grisea, Neurospora crassa, Saccharomyces cerevisiae, Schizosaccharomyces pombe, Ustilago maydis, and Yarrowia lipolytica. The content of genes with an exon-intron structure in their genomes varied from 0.7 to 97.0%. The exon-intron structure substantially changes with an increasing portion of intron-containing genes. Gene size and total exon length proved to linearly depend on the intron number in the A. fumigatus, C. neoformans, M. grisea, N. crassa, S. pombe, and U. maydis genomes.     

Molecular cloning and analysis of strictosidine beta-D-glucosidase, an enzyme in terpenoid indole alkaloid biosynthesis in Catharanthus roseus

Strictosidine beta-D-glucosidase (SGD) is an enzyme involved in the biosynthesis of terpenoid indole alkaloids (TIAs) by converting strictosidine to cathenamine. The biosynthetic pathway toward strictosidine is thought to be similar in all TIA-producing plants. Somewhere downstream of strictosidine formation, however, the biosynthesis diverges to give rise to the different TIAs found. SGD may play a role in creating this biosynthetic diversity. We have studied SGD at both the molecular and enzymatic levels. Based on the homology between different plant beta-glucosidases, degenerate polymerase chain reaction primers were designed and used to isolate a cDNA clone from a Catharanthus roseus cDNA library. A full-length clone gave rise to SGD activity when expressed in Saccharomyces cerevisiae. SGD shows approximately 60% homology at the amino acid level to other beta-glucosidases from plants and is encoded by a single-copy gene. Sgd expression is induced by methyl jasmonate with kinetics similar to those of two other genes acting prior to Sgd in TIA biosynthesis. These results show that coordinate induction of the biosynthetic genes forms at least part of the mechanism for the methyl jasmonate-induced increase in TIA production. Using a novel in vivo staining method, subcellular localization studies of SGD were performed. This showed that SGD is most likely associated with the endoplasmic reticulum, which is in accordance with the presence of a putative signal sequence, but in contrast to previous localization studies. This new insight in SGD localization has significant implications for our understanding of the complex intracellular trafficking of metabolic intermediates during TIA biosynthesis.     

A comparative study of duplications in bacteria and eukaryotes: the importance of telomeres

The genomes of three bacteria (Haemophilus influenzae, Mycoplasma genitalium, and Escherichia coli) and two eukaryotes (Saccharomyces cerevisiae and Caenorhabditis elegans) were compared. The distribution of their putative open reading frames (ORFs) was studied, and several conclusions were drawn: (1) All of these genomes, even the smallest, exhibit a significant proportion (7%-30%) of duplicated ORFs. This proportion is a function of genome size and appears unrelated to the bacteria/eukaryote division. (2) Some of these ORFs constitute families of up 20 or more members. (3) The levels of sequence similarity within these families are highly variable and their distribution is different among bacteria and eukaryotes. (4) In yeast, there are topological relationships between members of the same family. The paired ORFs are frequently in the same orientation with regard to their respective telomeres and located at comparable distances from them.