Literature DB >> 19456872

Dissecting the pleiotropic consequences of a quantitative trait nucleotide.

Hyun Seok Kim1, Juyoung Huh, Justin C Fay.   

Abstract

The downstream consequences of a single quantitative trait polymorphism can provide important insight into the molecular basis of a trait. However, the molecular consequences of a polymorphism may be complex and only a subset of these may influence the trait of interest. In natural isolates of Saccharomyces cerevisiae, a nonsynonymous polymorphism in cystathione beta-synthase (CYS4) causes a deficiency in both cysteine and glutathione that results in rust-colored colonies and drug-dependent growth defects. Using a single-nucleotide allele replacement, we characterized the effects of this polymorphism on gene expression levels across the genome. To determine whether any of the differentially expressed genes are necessary for the production of rust-colored colonies, we screened the yeast deletion collection for genes that enhance or suppress rust coloration. We found that genes in the sulfur assimilation pathway are required for the production of rust color but not the drug-sensitivity phenotype. Our results show that a single quantitative trait polymorphism can generate a complex set of downstream changes, providing a molecular basis for pleiotropy.

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Year:  2009        PMID: 19456872      PMCID: PMC2739680          DOI: 10.1111/j.1567-1364.2009.00516.x

Source DB:  PubMed          Journal:  FEMS Yeast Res        ISSN: 1567-1356            Impact factor:   2.796


  38 in total

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Journal:  J Inorg Biochem       Date:  2000-08-31       Impact factor: 4.155

2.  Quantitative trait loci mapped to single-nucleotide resolution in yeast.

Authors:  Adam M Deutschbauer; Ronald W Davis
Journal:  Nat Genet       Date:  2005-11-06       Impact factor: 38.330

3.  The mitochondrial proteins Atm1p and Nfs1p are essential for biogenesis of cytosolic Fe/S proteins.

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Journal:  EMBO J       Date:  1999-07-15       Impact factor: 11.598

4.  Manifold anomalies in gene expression in a vineyard isolate of Saccharomyces cerevisiae revealed by DNA microarray analysis.

Authors:  D Cavalieri; J P Townsend; D L Hartl
Journal:  Proc Natl Acad Sci U S A       Date:  2000-10-24       Impact factor: 11.205

5.  Activation of the iron regulon by the yeast Aft1/Aft2 transcription factors depends on mitochondrial but not cytosolic iron-sulfur protein biogenesis.

Authors:  Julian C Rutherford; Luis Ojeda; Janneke Balk; Ulrich Mühlenhoff; Roland Lill; Dennis R Winge
Journal:  J Biol Chem       Date:  2005-01-13       Impact factor: 5.157

6.  Transcriptional response of Saccharomyces cerevisiae to DNA-damaging agents does not identify the genes that protect against these agents.

Authors:  Geoff W Birrell; James A Brown; H Irene Wu; Guri Giaever; Angela M Chu; Ronald W Davis; J Martin Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-19       Impact factor: 11.205

7.  Survey of hydrogen sulphide production by wine yeasts.

Authors:  A Mendes-Ferreira; A Mendes-Faia; C Leão
Journal:  J Food Prot       Date:  2002-06       Impact factor: 2.077

8.  S-adenosylhomocysteine, but not homocysteine, is toxic to yeast lacking cystathionine beta-synthase.

Authors:  Scott A Christopher; Stepan Melnyk; S Jill James; Warren D Kruger
Journal:  Mol Genet Metab       Date:  2002-04       Impact factor: 4.797

9.  Identification of genes affecting hydrogen sulfide formation in Saccharomyces cerevisiae.

Authors:  Angela L Linderholm; Carrie L Findleton; Gagandeep Kumar; Yeun Hong; Linda F Bisson
Journal:  Appl Environ Microbiol       Date:  2008-01-11       Impact factor: 4.792

10.  Learning a prior on regulatory potential from eQTL data.

Authors:  Su-In Lee; Aimée M Dudley; David Drubin; Pamela A Silver; Nevan J Krogan; Dana Pe'er; Daphne Koller
Journal:  PLoS Genet       Date:  2009-01-30       Impact factor: 5.917

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  18 in total

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Authors:  Mihaela Pavlicev; James M Cheverud; Günter P Wagner
Journal:  Proc Biol Sci       Date:  2010-11-24       Impact factor: 5.349

2.  A combined-cross analysis reveals genes with drug-specific and background-dependent effects on drug sensitivity in Saccharomyces cerevisiae.

Authors:  Hyun Seok Kim; Justin C Fay
Journal:  Genetics       Date:  2009-08-31       Impact factor: 4.562

3.  Sulfate assimilation mediates tellurite reduction and toxicity in Saccharomyces cerevisiae.

Authors:  Lars-Göran Ottosson; Katarina Logg; Sebastian Ibstedt; Per Sunnerhagen; Mikael Käll; Anders Blomberg; Jonas Warringer
Journal:  Eukaryot Cell       Date:  2010-07-30

4.  The evolution of phenotypic correlations and "developmental memory".

Authors:  Richard A Watson; Günter P Wagner; Mihaela Pavlicev; Daniel M Weinreich; Rob Mills
Journal:  Evolution       Date:  2014-02-01       Impact factor: 3.694

Review 5.  Population perspectives on functional genomic variation in yeast.

Authors:  Daniel A Skelly; Paul M Magwene
Journal:  Brief Funct Genomics       Date:  2015-10-14       Impact factor: 4.241

6.  Evolution of pleiotropy: epistatic interaction pattern supports a mechanistic model underlying variation in genotype-phenotype map.

Authors:  Mihaela Pavlicev; Elizabeth A Norgard; Gloria L Fawcett; James M Cheverud
Journal:  J Exp Zool B Mol Dev Evol       Date:  2011-04-01       Impact factor: 2.656

7.  Novel biosynthetic pathway for sulfur amino acids in Cryptococcus neoformans.

Authors:  Akio Toh-E; Misako Ohkusu; Kiminori Shimizu; Naruhiko Ishiwada; Akira Watanabe; Katsuhiko Kamei
Journal:  Curr Genet       Date:  2017-11-20       Impact factor: 3.886

Review 8.  The molecular basis of phenotypic variation in yeast.

Authors:  Justin C Fay
Journal:  Curr Opin Genet Dev       Date:  2013-11-21       Impact factor: 5.578

9.  Genetic architecture of ethanol-responsive transcriptome variation in Saccharomyces cerevisiae strains.

Authors:  Jeffrey A Lewis; Aimee T Broman; Jessica Will; Audrey P Gasch
Journal:  Genetics       Date:  2014-06-26       Impact factor: 4.562

10.  Phenotypic landscape of Saccharomyces cerevisiae during wine fermentation: evidence for origin-dependent metabolic traits.

Authors:  Carole Camarasa; Isabelle Sanchez; Pascale Brial; Frédéric Bigey; Sylvie Dequin
Journal:  PLoS One       Date:  2011-09-16       Impact factor: 3.240

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