An interlaboratory comparison of physiological and genetic properties of four Saccharomyces cerevisiae strains

Dijken, Johannes P. van; Bauer, Jürgen; Brambilla, Luca; Duboc, Philippe; François, Jean; Gancedo, Carlos; Giuseppin, Marco L. F.; Heijnen, Joseph J.; Hoare, Mike; Lange, H. C.; Madden, Edward A.; Niederberger, Peter; Nielsen, Jens; Parrou, Jean-Luc; Petit, Thomas; Porro, Danilo; Reuß, Matthias; Riel, Natal A. W. van; Rizzi, Manfred; Steensma, H. Yde; Verrips, C. Theo; Vindeløv, Jannik; Pronk, Jack T.

doi:10.1016/s0141-0229(00)00162-9

Cited by 522 publications

(395 citation statements)

References 31 publications

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“…The first step in the establishment of our experimental systems biology pipeline was to find appropriate yeast strains that would be of interest. In the yeast community, a range of different yeast strains are being used, with the strain series BY, W303 and CEN.PK being the most frequently used 12 . The BY strain series is a derivative of the originally sequenced strain S288c, for which there is a complete gene knockout collection.…”

Section: Resultsmentioning

confidence: 99%

“…The BY strain series is a derivative of the originally sequenced strain S288c, for which there is a complete gene knockout collection. The CEN.PK strain series is used widely in physiological studies and, because of its rapid growth, is also often used for metabolic engineering studies 12 . Physiological studies are generally best performed with prototrophic strains, whereas the BY series strains carry a number of auxotrophies that may cause problems for quantitative studies of cellular physiology.…”

Section: Resultsmentioning

confidence: 99%

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Integrated multilaboratory systems biology reveals differences in protein metabolism between two reference yeast strains

et al. 2010

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The field of systems biology is often held back by difficulties in obtaining comprehensive, highquality, quantitative data sets. In this paper, we undertook an interlaboratory effort to generate such a data set for a very large number of cellular components in the yeast Saccharomyces cerevisiae, a widely used model organism that is also used in the production of fuels, chemicals, food ingredients and pharmaceuticals. With the current focus on biofuels and sustainability, there is much interest in harnessing this species as a general cell factory. In this study, we characterized two yeast strains, under two standard growth conditions. We ensured the high quality of the experimental data by evaluating a wide range of sampling and analytical techniques. Here we show significant differences in the maximum specific growth rate and biomass yield between the two strains. on the basis of the integrated analysis of the highthroughput data, we hypothesize that differences in phenotype are due to differences in protein metabolism.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Integrated multilaboratory systems biology reveals differences in protein metabolism between two reference yeast strains

et al. 2010

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“…The five Bam HI/ Hin dIII digested DNA fragments were, respectively, ligated into vector pSP-GM2 [25] downstream of the constitutively active TEF1 promoter. These plasmids were introduced into S. cerevisiae CEN.PK113-5D ( MAT a ura3-52 MAL2-8c SUC2 ) kindly provided by P. Kötter (University of Frankfurt, Germany) [30] to generate strains CB0 to CB5. The gene encoding Acc1p was amplified using the primers listed in Table 4.…”

Section: Methodsmentioning

confidence: 99%

Functional expression and characterization of five wax ester synthases in Saccharomyces cerevisiae and their utility for biodiesel production

Shi

Valle-Rodríguez

Khoomrung

et al. 2012

Biotechnol Biofuels

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Background Wax ester synthases (WSs) can synthesize wax esters from alcohols and fatty acyl coenzyme A thioesters. The knowledge of the preferred substrates for each WS allows the use of yeast cells for the production of wax esters that are high-value materials and can be used in a variety of industrial applications. The products of WSs include fatty acid ethyl esters, which can be directly used as biodiesel. Results Here, heterologous WSs derived from five different organisms were successfully expressed and evaluated for their substrate preference in Saccharomyces cerevisiae . We investigated the potential of the different WSs for biodiesel (that is, fatty acid ethyl esters) production in S. cerevisiae . All investigated WSs, from Acinetobacter baylyi ADP1, Marinobacter hydrocarbonoclasticus DSM 8798, Rhodococcus opacus PD630, Mus musculus C57BL/6 and Psychrobacter arcticus 273-4, have different substrate specificities, but they can all lead to the formation of biodiesel. The best biodiesel producing strain was found to be the one expressing WS from M. hydrocarbonoclasticus DSM 8798 that resulted in a biodiesel titer of 6.3 mg/L. To further enhance biodiesel production, acetyl coenzyme A carboxylase was up-regulated, which resulted in a 30% increase in biodiesel production. Conclusions Five WSs from different species were functionally expressed and their substrate preference characterized in S. cerevisiae , thus constructing cell factories for the production of specific kinds of wax ester. WS from M. hydrocarbonoclasticus showed the highest preference for ethanol compared to the other WSs, and could permit the engineered S. cerevisiae to produce biodiesel.

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“…Yeast Strains-The CEN.PK113-7D (MATa, SUC2, MAL2-8) wild type strain (18) was used for all cultivations involving transcription analysis and analyses of extra-and intracellular metabolites, whereas the strain FY833 (MATa, his3⌬200, ura3-52, leu2⌬1, lys2⌬202, trp1⌬63, GAL2ϩ), obtained from Michel Ghislain, was used for measuring protein levels and glycogen content.…”

Section: Methodsmentioning

confidence: 99%

Transcriptional, Proteomic, and Metabolic Responses to Lithium in Galactose-grown Yeast Cells

Bro

Regenberg

Lagniel³

et al. 2003

Journal of Biological Chemistry

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Lithium is highly toxic to yeast when grown in galactose medium mainly because phosphoglucomutase, a key enzyme of galactose metabolism, is inhibited. We studied the global protein and gene expression profiles of Saccharomyces cerevisiae grown in galactose in different time intervals after addition of lithium. These results were related to physiological studies where both secreted and intracellular metabolites were determined. Microarray analysis showed that 664 open reading frames were down-regulated and 725 up-regulated in response to addition of lithium. Genes involved in transcription, translation, and nucleotide metabolism were down-regulated at the transcriptional level, whereas genes responsive to different stresses as well as genes from energy reserve metabolism and monosaccharide metabolism were up-regulated. Compared with the proteomic data, 26% of the down-regulated and 48% of the up-regulated proteins were also identified as being changed on the mRNA level. Functional clusters obtained from proteome data were coincident with transcriptional clusters. Physiological studies showed that acetate, glycerol, and glycogen accumulate in response to lithium, as reflected in expression data, whereas a change from respiro-fermentative to respiratory growth could not be predicted from the expression analyses.

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An interlaboratory comparison of physiological and genetic properties of four Saccharomyces cerevisiae strains

Cited by 522 publications

References 31 publications

Integrated multilaboratory systems biology reveals differences in protein metabolism between two reference yeast strains

Integrated multilaboratory systems biology reveals differences in protein metabolism between two reference yeast strains

Functional expression and characterization of five wax ester synthases in Saccharomyces cerevisiae and their utility for biodiesel production

Transcriptional, Proteomic, and Metabolic Responses to Lithium in Galactose-grown Yeast Cells

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