Reginald Storms

Functional profiling of the Saccharomyces cerevisiae genome

Determining the effect of gene deletion is a fundamental approach to understanding gene function. Conventional genetic screens exhibit biases, and genes contributing to a phenotype are often missed. We systematically constructed a nearly complete collection of gene-deletion mutants (96% of annotated open reading frames, or ORFs) of the yeast Saccharomyces cerevisiae. DNA sequences dubbed ‘molecular bar codes’ uniquely identify each strain, enabling their growth to be analysed in parallel and the fitness contribution of each gene to be quantitatively assessed by hybridization to high-density oligonucleotide arrays. We show that previously known and new genes are necessary for optimal growth under six well-studied conditions: high salt, sorbitol, galactose, pH 8, minimal medium and nystatin treatment. Less than 7% of genes that exhibit a significant increase in messenger RNA expression are also required for optimal growth in four of the tested conditions. Our results validate the yeast gene-deletion collection as a valuable resource for functional genomics.

Large-scale essential gene identification in Candida albicans and applications to antifungal drug discovery

Candida albicans is the primary fungal pathogen of humans. Despite the need for novel drugs to combat fungal infections [Sobel, J.D. (2000) Clin Infectious Dis 30: 652], antifungal drug discovery is currently limited by both the availability of suitable drug targets and assays to screen corresponding targets. A functional genomics approach based on the diploid C. albicans genome sequence, termed GRACETM (gene replacement and conditional expression), was used to assess gene essentiality through a combination of gene replacement and conditional gene expression. In a systematic application of this approach, we identify 567 essential genes in C. albicans. Interestingly, evaluating the conditional phenotype of all identifiable C. albicans homologues of the Saccharomyces cerevisiae essential gene set [Giaever, G., Chu, A.M., Ni, L., Connelly, C., Riles, L., Veronneau, S., et al. (2002) Nature 418: 387–391] by GRACE revealed only 61% to be essential in C. albicans, emphasizing the importance of performing such studies directly within the pathogen. Construction of this conditional mutant strain collection facilitates large‐scale examination of terminal phenotypes of essential genes. This information enables preferred drug targets to be selected from the C. albicans essential gene set by phenotypic information derived both in vitro, such as cidal versus static terminal phenotypes, as well as in vivo through virulence studies using conditional strains in an animal model of infection. In addition, the combination of phenotypic and bioinformatic analyses further improves drug target selection from the C. albicans essential gene set, and their respective conditional mutant strains may be directly used as sensitive whole‐cell assays for drug screening.

OrfPredictor: predicting protein-coding regions in EST-derived sequences

OrfPredictor is a web server designed for identifying protein-coding regions in expressed sequence tag (EST)-derived sequences. For query sequences with a hit in BLASTX, the program predicts the coding regions based on the translation reading frames identified in BLASTX alignments, otherwise, it predicts the most probable coding region based on the intrinsic signals of the query sequences. The output is the predicted peptide sequences in the FASTA format, and a definition line that includes the query ID, the translation reading frame and the nucleotide positions where the coding region begins and ends. OrfPredictor facilitates the annotation of EST-derived sequences, particularly, for large-scale EST projects. OrfPredictor is available at .

Comparative genomic analysis of the thermophilic biomass-degrading fungi Myceliophthora thermophila and Thielavia terrestris

Thermostable enzymes and thermophilic cell factories may afford economic advantages in the production of many chemicals and biomass-based fuels. Here we describe and compare the genomes of two thermophilic fungi, Myceliophthora thermophila and Thielavia terrestris. To our knowledge, these genomes are the first described for thermophilic eukaryotes and the first complete telomere-to-telomere genomes for filamentous fungi. Genome analyses and experimental data suggest that both thermophiles are capable of hydrolyzing all major polysaccharides found in biomass. Examination of transcriptome data and secreted proteins suggests that the two fungi use shared approaches in the hydrolysis of cellulose and xylan but distinct mechanisms in pectin degradation. Characterization of the biomass-hydrolyzing activity of recombinant enzymes suggests that these organisms are highly efficient in biomass decomposition at both moderate and high temperatures. Furthermore, we present evidence suggesting that aside from representing a potential reservoir of thermostable enzymes, thermophilic fungi are amenable to manipulation using classical and molecular genetics.

Synthetic biosystems for the production of high-value plant metabolites

Plants display an immense diversity of specialized metabolites, many of which have been important to humanity as medicines, flavors, fragrances, pigments, insecticides and other fine chemicals. Apparently, much of the variation in plant specialized metabolism evolved through events of gene duplications followed by neo- or sub-functionalization. Most of the catalytic diversity of plant enzymes is unexplored since previous biochemical and genomics efforts have focused on a relatively small number of species. Interdisciplinary research in plant genomics, microbial engineering and synthetic biology provides an opportunity to accelerate the discovery of new enzymes. The massive identification, characterization and cataloguing of plant enzymes coupled with their deployment in metabolically optimized microbes provide a high-throughput functional genomics tool and a novel strain engineering pipeline.

Histone H1 in Saccharomyces cerevisiae

The existence of histone H1 in the yeast, Saccharomyces cerevisiae, has long been debated. In this report we describe the presence of histone H1 in yeast. YPL127c, a gene encoding a protein with a high degree of similarity to histone H1 from other species was sequenced as part of the contribution of the Montreal Yeast Genome Sequencing Group to chromosome XVI. To reflect this similarity, the gene designation has been changed to HHO1 (Histone H One). The HHO1 gene is highly expressed as poly A+ RNA in yeast. Although deletion of this gene had no detectable effect on cell growth, viability or mating, it significantly altered the expression of β‐galactosidase from a CYC1‐lacZ reporter. Fluorescence observed in cells expressing a histone H1‐GFP protein fusion indicated that histone H1 is localized to the nucleus.©1997 John Wiley & Sons, Ltd.

Generation, annotation, and analysis of an extensive Aspergillus niger EST collection

BackgroundAspergillus niger, a saprophyte commonly found on decaying vegetation, is widely used and studied for industrial purposes. Despite its place as one of the most important organisms for commercial applications, the lack of available information about its genetic makeup limits research with this filamentous fungus.ResultsWe present here the analysis of 12,820 expressed sequence tags (ESTs) generated from A. niger cultured under seven different growth conditions. These ESTs identify about 5,108 genes of which 44.5% code for proteins sharing similarity (E ≤ 1e -5) with GenBank entries of known function, 38% code for proteins that only share similarity with GenBank entries of unknown function and 17.5% encode proteins that do not have a GenBank homolog. Using the Gene Ontology hierarchy, we present a first classification of the A. niger proteins encoded by these genes and compare its protein repertoire with other well-studied fungal species. We have established a searchable web-based database that includes the EST and derived contig sequences and their annotation. Details about this project and access to the annotated A. niger database are available.ConclusionThis EST collection and its annotation provide a significant resource for fundamental and applied research with A. niger. The gene set identified in this manuscript will be highly useful in the annotation of the genome sequence of A. niger, the genes described in the manuscript, especially those encoding hydrolytic enzymes will provide a valuable source for researchers interested in enzyme properties and applications.

TargetIdentifier: a webserver for identifying full-length cDNAs from EST sequences

TargetIdentifier is a webserver that identifies full-length cDNA sequences from the expressed sequence tag (EST)-derived contig and singleton data. To accomplish this TargetIdentifier uses BLASTX alignments as a guide to locate protein coding regions and potential start and stop codons. This information is then used to determine whether the EST-derived sequences include their translation start codons. The algorithm also uses the BLASTX output to assign putative functions to the query sequences. The server is available at .

Completion of the Saccharomyces cerevisiae Genome Sequence Allows Identification of KTR5, KTR6 and KTR7 and Definition of the Nine-Membered KRE2/MNT1 Mannosyltransferase Gene Family in this Organism

The KRE2/MNT1 mannosyltransferase gene family of Saccharomyces cerevisiae currently consists of the KRE2, YUR1, KTR1, KTR2, KTR3 and KTR4 genes. All six encode putative type II membrane proteins with a short cytoplasmic N‐terminus, a membrane‐spanning region and a highly conserved catalytic lumenal domain. Here we report the identification of the three remaining members of this family in the yeast genome. KTR5 corresponds to an open reading frame (ORF) of the left arm of chromosome XIV, and KTR6 and KTR7 to ORFs on the left arms of chromosomes XVI and IX respectively. The KTR5, KTR6 and KTR7 gene products are highly similar to the Kre2p/Mnt1p family members. Initial functional characterization revealed that some mutant yeast strains containing null copies of these genes displayed cell wall phenotypes. None was K1 killer toxin resistant but ktr6 and ktr7 null mutants were found to be hypersensitive and resistant, respectively, to the drug Calcofluor White. The sequences have been deposited in the GenBank data library under Accession Numbers Z71305; U39205; Z46728.©1997 John Wiley & Sons, Ltd.

Molecular Characterization of GCV3, the Saccharomyces cerevisiae Gene Coding for the Glycine Cleavage System Hydrogen Carrier Protein

YAL044, a gene on the left arm of Saccharomyces cerevisiae chromosome one, is shown to code for the H-protein subunit of the multienzyme glycine cleavage system. The gene designation has therefore been changed to GCV3, reflecting its role in the glycine cleavage system. GCV3 encodes a 177-residue protein with a putative mitochondrial targeting signal at its amino terminus. Targeted gene replacement shows that GCV3 is not required for growth on minimal medium; however, it is essential when glycine serves as the sole nitrogen source. Studies of GCV3 expression revealed that it is highly regulated. Supplementation of minimal medium with glycine, the glycine cleavage systems substrate, induced expression at least 30-fold. In contrast, and consistent with the cleavage of glycine providing activated single-carbon units, the addition of the metabolic end products that require activated single-carbon units repressed expression about 10-fold. Finally, like many amino acid biosynthetic genes, GCV3 is subject to regulation by the general amino acid control system.