Takehiko Sahara

Comprehensive expression analysis of time-dependent genetic responses in yeast cells to low temperature

We performed genome-wide expression analysis to determine genetic responses in Saccharomyces cerevisiae to a low temperature environment using a cDNA microarray. Approximately 25% of the genes in the yeast genome were found to be involved in the response of yeast to low temperature. This finding of a large number of genes being involved in the response to low temperature enabled us to give a functional interpretation to the genetic responses to the stimulus. Functional and clustering analyses of temporal changes in gene expression revealed that global states of the expressions of up-regulated genes could be characterized as having three phases (the early, middle, and late phases). In each phase, genes related to rRNA synthesis, ribosomal proteins, or several stress responses are time-dependently up-regulated, respectively. Through these phases, yeast cells may improve reduced efficiency of translation and enhance cell protection mechanisms to survive under a low temperature condition. Furthermore, these time-dependent regulations of these genes would be controlled by the cAMP-protein kinase A pathway. The results of our study provide a global description of transcriptional response for adaptation to low temperature in yeast cells.

Total Biosynthesis of Diterpene Aphidicolin, a Specific Inhibitor of DNA Polymerase α: Heterologous Expression of Four Biosynthetic Genes in Aspergillus oryzae

Clustering of biosynthetic genes for producing fungal secondary metabolites, which frequently consist of less than ten genes, has been recognized with numerous genomes. The heterologous expression of whole genes in the clusters will therefore produce various types of natural products when using a suitable fungal host. We introduced the whole gene cluster for the biosynthesis of diterpene aphidicolin into the fungal quadruple auxotrophic host, Aspergillus oryzae, by using four different vectors (pTAex3, pPTRI, pUSA and pAdeA) which harbor a starch-inducible promoter/terminator to examine the expression conditions. The resulting quadruple transformant carrying the genes of geranylgeranyl diphosphate synthase PbGGS, terpene synthase PbACS, and two monooxygenases (PbP450-1 and PbP450-2) produced aphidicolin. The double and triple transformants also respectively produced aphidicolan-16β-ol and 3-deoxyaphidicolin. Alternative host Saccharomyces cerevisiae carrying the genes, PbGGS and PbACS, produced key intermediate aphidicolan-16β-ol. This is the first example of a total biosynthesis of terpenoids using fungal hosts.

Sensitive and convenient yeast reporter assay for high-throughput analysis by using a secretory luciferase from Cypridina noctiluca.

The yeast reporter assay has been widely used in various applications such as detection of endocrine disruptors and analysis of protein-protein interactions by the yeast two-hybrid system. The molecular characteristics of the reporter enzyme are critical determinants for this assay. We herein report the establishment of a novel yeast reporter assay using a secretory luciferase, Cypridina noctiluca luciferase (CLuc), as an alternative to the conventional beta-galactosidase. The CLuc reporter assay in yeast is more sensitive and convenient than the conventional assay. A yeast high-throughput reporter assay was established with a laboratory automation system, and the transcriptional activity of hundreds of yeast promoter fragments was comprehensively determined. Our results indicate that the yeast CLuc reporter assay is a promising tool for large-scale and sensitive analysis in the development of new drugs and in various fields of biotechnology research.

Knowledge-assisted recognition of cluster boundaries in gene expression data

BACKGROUND AND MOTIVATION DNA microarray technology has made it possible to determine the expression levels of thousands of genes in parallel under multiple experimental conditions. Genome-wide analyses using DNA microarrays make a great contribution to the exploration of the dynamic state of genetic networks, and further lead to the development of new disease diagnosis technologies. An important step in the analysis of gene expression data is to classify genes with similar expression patterns into the same groups. To this end, hierarchical clustering algorithms have been widely used. Major advantages of hierarchical clustering algorithms are that investigators do not need to specify the number of clusters in advance and results are presented visually in the form of a dendrogram. However, since traditional hierarchical clustering methods simply provide results on the statistical characteristics of expression data, biological interpretations of the resulting clusters are not easy, and it requires laborious tasks to unveil hidden biological processes regulated by members in the clusters. Therefore, it has been a very difficult routine for experts. OBJECTIVE Here, we propose a novel algorithm in which cluster boundaries are determined by referring to functional annotations stored in genome databases. MATERIALS AND METHODS The algorithm first performs hierarchical clustering of gene expression profiles. Then, the cluster boundaries are determined by the Variance Inflation Factor among the Gene Function Vectors, which represents distributions of gene functions in each cluster. Our algorithm automatically specifies a cutoff that leads to functionally independent agglomerations of genes on the dendrogram derived from similarities among gene expression patterns. Finally, each cluster is annotated according to dominant gene functions within the respective cluster. RESULTS AND CONCLUSIONS In this paper, we apply our algorithm to two gene expression datasets related to cell cycle and cold stress response in budding yeast Saccharomyces cerevisiae. As a result, we show that the algorithm enables us to recognize cluster boundaries characterizing fundamental biological processes such as the Early G1, Late G1, S, G2 and M phases in cell cycles, and also provides novel annotation information that has not been obtained by traditional hierarchical clustering methods. In addition, using formal cluster validity indices, high validity of our algorithm is verified by the comparison through other popular clustering algorithms, K-means, self-organizing map and AutoClass.

Draft Genome Sequence of Saccharomyces cerevisiae IR-2, a Useful Industrial Strain for Highly Efficient Production of Bioethanol.

ABSTRACT We sequenced the genome of Saccharomyces cerevisiae IR-2, which is a diploid industrial strain with flocculation activity and the ability to efficiently produce bioethanol. The approximately 11.4-Mb draft genome information provides useful insights into metabolic engineering for the production of bioethanol from biomass.

Caenibacillus caldisaponilyticus gen. nov., sp. nov., a thermophilic, spore-forming and phospholipid-degrading bacterium isolated from acidulocompost.

A thermophilic and phospholipid-degrading bacterium, designated strain B157T, was isolated from acidulocompost, a garbage compost processed under acidic conditions at moderately high temperature. The organism was Gram-stain-positive, aerobic, spore-forming and rod-shaped. Growth was observed to occur at 40-65 °C and pH 4.8-8.1 (optimum growth: 50-60 °C, pH 6.2). The strain was catalase- and oxidase-positive. The cell wall contained meso-diaminopimelic acid, alanine, glutamic acid and galactose. The predominant respiratory quinone was menaquinone-7 (MK-7) and the major fatty acids were anteiso-C17 : 0 and iso-C17 : 0. Comparative 16S rRNA gene sequence analysis showed that strain B157T was related most closely to Tuberibacillus calidus 607T (94.8 % identity), and the phylogenetic analysis revealed that it belonged to the family Sporolactobacillaceae. The DNA G+C content was determined as 51.8 mol%. In spite of many similarities with the type strains of members of the family Sporolactobacillaceae, genotypic analyses suggest that strain B157T represents a novel species of a new genus, Caenibacilluscaldisaponilyticus gen. nov., sp. nov. The type strain of Caenibacilluscaldisaponilyticus is B157T (=NBRC 111400T=DSM 101100T).

Draft Genome Sequence of Saccharomyces cerevisiae NAM34-4C, a Lactic Acid-Assimilating Industrial Yeast Strain

ABSTRACT We determined the genome sequence of industrial Saccharomyces cerevisiae strain NAM34-4C, which would be useful for bioethanol production. The approximately 11.5-Mb draft genome sequence of NAM34-4C will provide remarkable insights into metabolic engineering for effective production of bioethanol from biomass.

Glass Bead-based Genetic Transformation:An Efficient Method for Transformation of Thraustochytrid Microorganisms

Here, we describe a new method for genetic transformation of thraustochytrids, well-known producers of polyunsaturated fatty acids (PUFAs) like docosahexaenoic acid, by combining mild glass (zirconia) bead treatment and electroporation. Because the cell wall is a barrier against transfer of exogenous DNA into cells, gentle vortexing of cells with glass beads was performed prior to electroporation for partial cell wall disruption. G418-resistant transformants of thraustochytrid cells (Aurantiochytrium limacinum strain SR21 and thraustochytrid strain 12B) were successfully obtained with good reproducibility. The method reported here is simpler than methods using enzymes to generate spheroplasts and may provide advantages for PUFA production by using genetically modified thraustochytrids.

Draft Genome Sequence of Caenibacillus caldisaponilyticus B157T, a Thermophilic and Phospholipase-Producing Bacterium Isolated from Acidulocompost

ABSTRACT Caenibacillus caldisaponilyticus B157T (= NBRC 111400T = DSM 101100T), in the family Sporolactobacillaceae, was isolated from acidulocompost as a thermophilic and phospholipid-degrading bacterium. Here, we report the 3.36-Mb draft genome sequence, with a G+C content of 51.8%, to provide the genetic information coding for phospholipases.