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1: J Biol Chem. 2001 Apr 6;276(14):10794-800. Epub 2001 Jan 11.Click here to read Links

Saccharomyces cerevisiae is capable of de Novo pantothenic acid biosynthesis involving a novel pathway of beta-alanine production from spermine.

White WH, Gunyuzlu PL, Toyn JH.

Department of Applied Biotechnology, DuPont Pharmaceuticals Company, Wilmington, Delaware 19880-0336, USA.

Pantothenic acid and beta-alanine are metabolic intermediates in coenzyme A biosynthesis. Using a functional screen in the yeast Saccharomyces cerevisiae, a putative amine oxidase, encoded by FMS1, was found to be rate-limiting for beta-alanine and pantothenic acid biosynthesis. Overexpression of FMS1 caused excess pantothenic acid to be excreted into the medium, whereas deletion mutants required beta-alanine or pantothenic acid for growth. Furthermore, yeast genes ECM31 and YIL145c, which both have structural homology to genes of the bacterial pantothenic acid pathway, were also required for pantothenic acid biosynthesis. The homology of FMS1 to FAD-containing amine oxidases and its role in beta-alanine biosynthesis suggested that its substrates are polyamines. Indeed, we found that all the enzymes of the polyamine pathway in yeast are necessary for beta-alanine biosynthesis; spe1Delta, spe2Delta, spe3Delta, and spe4Delta are all beta-alanine auxotrophs. Thus, contrary to previous reports, yeast is naturally capable of pantothenic acid biosynthesis, and the beta-alanine is derived from methionine via a pathway involving spermine. These findings should facilitate the identification of further enzymes and biochemical pathways involved in polyamine degradation and pantothenic acid biosynthesis in S. cerevisiae and raise questions about these pathways in other organisms.

PMID: 11154694 [PubMed - indexed for MEDLINE]

2: Nature. 2002 Jul 25;418(6896):387-91.Click here to read Links

Functional profiling of the Saccharomyces cerevisiae genome.

Giaever G, Chu AM, Ni L, Connelly C, Riles L, Véronneau S, Dow S, Lucau-Danila A, Anderson K, André B, Arkin AP, Astromoff A, El-Bakkoury M, Bangham R, Benito R, Brachat S, Campanaro S, Curtiss M, Davis K, Deutschbauer A, Entian KD, Flaherty P, Foury F, Garfinkel DJ, Gerstein M, Gotte D, Güldener U, Hegemann JH, Hempel S, Herman Z, Jaramillo DF, Kelly DE, Kelly SL, Kötter P, LaBonte D, Lamb DC, Lan N, Liang H, Liao H, Liu L, Luo C, Lussier M, Mao R, Menard P, Ooi SL, Revuelta JL, Roberts CJ, Rose M, Ross-Macdonald P, Scherens B, Schimmack G, Shafer B, Shoemaker DD, Sookhai-Mahadeo S, Storms RK, Strathern JN, Valle G, Voet M, Volckaert G, Wang CY, Ward TR, Wilhelmy J, Winzeler EA, Yang Y, Yen G, Youngman E, Yu K, Bussey H, Boeke JD, Snyder M, Philippsen P, Davis RW, Johnston M.

Stanford Genome Technology Center, Stanford University, Palo Alto, California 94304, USA.

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.

PMID: 12140549 [PubMed - indexed for MEDLINE]

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3: id: 99367714 Error occurred: The following PMID is not available: 99367714
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