Literature DB >> 16273108

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

Adam M Deutschbauer1, Ronald W Davis.   

Abstract

Identifying the genetic variation underlying quantitative trait loci remains problematic. Consequently, our molecular understanding of genetically complex, quantitative traits is limited. To address this issue directly, we mapped three quantitative trait loci that control yeast sporulation efficiency to single-nucleotide resolution in a noncoding regulatory region (RME1) and to two missense mutations (TAO3 and MKT1). For each quantitative trait locus, the responsible polymorphism is rare among a diverse set of 13 yeast strains, suggestive of genetic heterogeneity in the control of yeast sporulation. Additionally, under optimal conditions, we reconstituted approximately 92% of the sporulation efficiency difference between the two genetically distinct parents by engineering three nucleotide changes in the appropriate yeast genome. Our results provide the highest resolution to date of the molecular basis of a quantitative trait, showing that the interaction of a few genetic variants can have a profound phenotypic effect.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16273108     DOI: 10.1038/ng1674

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  123 in total

1.  Oxidative stress survival in a clinical Saccharomyces cerevisiae isolate is influenced by a major quantitative trait nucleotide.

Authors:  Stephanie Diezmann; Fred S Dietrich
Journal:  Genetics       Date:  2011-04-21       Impact factor: 4.562

Review 2.  Molecular and evolutionary processes generating variation in gene expression.

Authors:  Mark S Hill; Pétra Vande Zande; Patricia J Wittkopp
Journal:  Nat Rev Genet       Date:  2020-12-02       Impact factor: 53.242

3.  Mapping novel traits by array-assisted bulk segregant analysis in Saccharomyces cerevisiae.

Authors:  Matthew J Brauer; Cheryl M Christianson; Dave A Pai; Maitreya J Dunham
Journal:  Genetics       Date:  2006-04-19       Impact factor: 4.562

4.  Genome-wide expression profiling, in vivo DNA binding analysis, and probabilistic motif prediction reveal novel Abf1 target genes during fermentation, respiration, and sporulation in yeast.

Authors:  Ulrich Schlecht; Ionas Erb; Philippe Demougin; Nicolas Robine; Valérie Borde; Erik van Nimwegen; Alain Nicolas; Michael Primig
Journal:  Mol Biol Cell       Date:  2008-02-27       Impact factor: 4.138

5.  Sequential elimination of major-effect contributors identifies additional quantitative trait loci conditioning high-temperature growth in yeast.

Authors:  Himanshu Sinha; Lior David; Renata C Pascon; Sandra Clauder-Münster; Sujatha Krishnakumar; Michelle Nguyen; Getao Shi; Jed Dean; Ronald W Davis; Peter J Oefner; John H McCusker; Lars M Steinmetz
Journal:  Genetics       Date:  2008-09-09       Impact factor: 4.562

6.  Integrating large-scale functional genomic data to dissect the complexity of yeast regulatory networks.

Authors:  Jun Zhu; Bin Zhang; Erin N Smith; Becky Drees; Rachel B Brem; Leonid Kruglyak; Roger E Bumgarner; Eric E Schadt
Journal:  Nat Genet       Date:  2008-06-15       Impact factor: 38.330

7.  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

8.  Genomewide evolutionary rates in laboratory and wild yeast.

Authors:  James Ronald; Hua Tang; Rachel B Brem
Journal:  Genetics       Date:  2006-07-02       Impact factor: 4.562

9.  Analysis of Polygenic Mutants Suggests a Role for Mediator in Regulating Transcriptional Activation Distance in Saccharomyces cerevisiae.

Authors:  Caitlin T Reavey; Mark J Hickman; Krista C Dobi; David Botstein; Fred Winston
Journal:  Genetics       Date:  2015-08-17       Impact factor: 4.562

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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.