938 resultados para Yeast.


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Macroalgae (seaweeds) are a promising feedstock for the production of third generation bioethanol, since they have high carbohydrate contents, contain little or no lignin and are available in abundance. However, seaweeds typically contain a more diverse array of monomeric sugars than are commonly present in feedstocks derived from lignocellulosic material which are currently used for bioethanol production. Hence, identification of a suitable fermentative microorganism that can utilise the principal sugars released from the hydrolysis of macroalgae remains a major objective. The present study used a phenotypic microarray technique to screen 24 different yeast strains for their ability to metabolise individual monosaccharides commonly found in seaweeds, as well as hydrolysates following an acid pre-treatment of five native UK seaweed species (Laminaria digitata, Fucus serratus, Chondrus crispus, Palmaria palmata and Ulva lactuca). Five strains of yeast (three Saccharomyces spp, one Pichia sp and one Candida sp) were selected and subsequently evaluated for bioethanol production during fermentation of the hydrolysates. Four out of the five selected strains converted these monomeric sugars into bioethanol, with the highest ethanol yield (13 g L−1) resulting from a fermentation using C. crispus hydrolysate with Saccharomyces cerevisiae YPS128. This study demonstrated the novel application of a phenotypic microarray technique to screen for yeast capable of metabolising sugars present in seaweed hydrolysates; however, metabolic activity did not always imply fermentative production of ethanol.

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The actin cytoskeleton is a dynamic and complex structure in fission yeast that plays a major function in many cell processes including cellular growth, septa formation, endocytosis and cellular division. Computational studies have shown that Arp2p, which forms part of the Arp2/3 complex, is a potential substrate of NatB acetyltransferase which has specificity for proteins possessing an N-terminal Met-Asp or Met-Glu sequence motif. In arm1- mutants the loss of function of Arm1p, an auxillary subunit required for NatB activity, results in a temperature sensitive phenotype characterized by multiple septa, failure of endocytosis, and the inability to form actin cables. A temperature sensitive mutant of Schizosaccharomyces pombe arp2 gene exhibits a similar phenotype as seen by the formation of improper septa, slow growth, and the delocalization of actin patches. Four expression vectors encoding the open reading frames of arp2 and cdc8 (tropomyosin) were constructed with a modification changing the second residue to a Histidine, believed to mimic the charge distribution of natural acetylation by NatB. Constructs tested in normal yeast strains remained viable and grew normally in the presence of Met-His Arp2p and tropomyosin. Analysis of their ability to suppress the mutant phenotypes of arp2-1 and arm1- mutants is an area of research to be explored in future studies.

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Cdc25 is a mitosis triggering phosphatase in Schizosaccharomyces pombe, and is transported in to the nucleus during G2 phase by the importin-β protein Sal3. Cdc25 triggers mitosis and cell division by dephosphorylating tyrosine 15 of Cdc2. In sal3 mutants, Cdc25 is not transported into the nucleus and the cells halt in G2. The purpose of this study is to use a two-hybrid system to determine the nature of the relationship between Sal3 and Cdc25. Previous research has failed to detect any interaction between the two proteins, but specific modifications were made to the two-hybrid system in this study including the separation of Sal3 into its two binding domains, the addition of fluorescent tags to the fusion protein, and the reversal of plasmids in the fusion proteins. Unique PCR primers were successfully designed, based on a multiple alignment of Sal3 and its homologues, to separate Sal3 into its two domains.

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Yeast rhomboid protease (Rbd1p) was found to act in the processing of Tic40 components in the yeast mitochondrion. Rhomboid protease was shown to have effects on the number of different Tic40 configurations displayed, the ratio of different configurations to one another and the targeting of Tic40 configurations within the yeast mitochondrion. The effects of Rbd1p on the ratio and targeting of different Tic40 configurations were also found to be dependent on the developmental stage of the yeast. Tic40 deletion constructs were expressed in yeast strains with active yeast rhomboid protease and in corresponding strains lacking Rbd1p. The processing of Tic40 differed between deletion constructs and between strains with and without yeast rhomboid protease. This indicates that rhomboid protease can affect the processing of Tic40 and the sequence of Tic40 can affect the activity of rhomboid protease with respect to Tic40. Tic40 is suspected to be involved in the regulation of plastid protein import. Rhomboid protease is shown here to affect the properties of Tic40 which have made it a candidate for a regulator of plastid protein import.

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Genome-scale metabolic models promise important insights into cell function. However, the definition of pathways and functional network modules within these models, and in the biochemical literature in general, is often based on intuitive reasoning. Although mathematical methods have been proposed to identify modules, which are defined as groups of reactions with correlated fluxes, there is a need for experimental verification. We show here that multivariate statistical analysis of the NMR-derived intra- and extracellular metabolite profiles of single-gene deletion mutants in specific metabolic pathways in the yeast Saccharomyces cerevisiae identified outliers whose profiles were markedly different from those of the other mutants in their respective pathways. Application of flux coupling analysis to a metabolic model of this yeast showed that the deleted gene in an outlying mutant encoded an enzyme that was not part of the same functional network module as the other enzymes in the pathway. We suggest that metabolomic methods such as this, which do not require any knowledge of how a gene deletion might perturb the metabolic network, provide an empirical method for validating and ultimately refining the predicted network structure.