Literature DB >> 11907579

Dissecting the architecture of a quantitative trait locus in yeast.

Lars M Steinmetz1, Himanshu Sinha, Dan R Richards, Jamie I Spiegelman, Peter J Oefner, John H McCusker, Ronald W Davis.   

Abstract

Most phenotypic diversity in natural populations is characterized by differences in degree rather than in kind. Identification of the actual genes underlying these quantitative traits has proved difficult. As a result, little is known about their genetic architecture. The failures are thought to be due to the different contributions of many underlying genes to the phenotype and the ability of different combinations of genes and environmental factors to produce similar phenotypes. This study combined genome-wide mapping and a new genetic technique named reciprocal-hemizygosity analysis to achieve the complete dissection of a quantitative trait locus (QTL) in Saccharomyces cerevisiae. A QTL architecture was uncovered that was more complex than expected. Functional linkages both in cis and in trans were found between three tightly linked quantitative trait genes that are neither necessary nor sufficient in isolation. This arrangement of alleles explains heterosis (hybrid vigour), the increased fitness of the heterozygote compared with homozygotes. It also demonstrates a deficiency in current approaches to QTL dissection with implications extending to traits in other organisms, including human genetic diseases.

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Year:  2002        PMID: 11907579     DOI: 10.1038/416326a

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  227 in total

1.  Genetic diversity in yeast assessed with whole-genome oligonucleotide arrays.

Authors:  Elizabeth A Winzeler; Cristian I Castillo-Davis; Guy Oshiro; David Liang; Daniel R Richards; Yingyao Zhou; Daniel L Hartl
Journal:  Genetics       Date:  2003-01       Impact factor: 4.562

2.  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

3.  High-resolution yeast phenomics resolves different physiological features in the saline response.

Authors:  Jonas Warringer; Elke Ericson; Luciano Fernandez; Olle Nerman; Anders Blomberg
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-15       Impact factor: 11.205

4.  Consequences of nonadaptive alterations in cancer.

Authors:  Alexander Kamb
Journal:  Mol Biol Cell       Date:  2003-02-21       Impact factor: 4.138

5.  The impact of genomics on the study of natural variation in Arabidopsis.

Authors:  Justin O Borevitz; Magnus Nordborg
Journal:  Plant Physiol       Date:  2003-06       Impact factor: 8.340

6.  Pleiotropy, homeostasis, and functional networks based on assays of cardiovascular traits in genetically randomized populations.

Authors:  Joseph H Nadeau; Lindsay C Burrage; Joe Restivo; Yoh-Han Pao; Gary Churchill; Brian D Hoit
Journal:  Genome Res       Date:  2003-09       Impact factor: 9.043

7.  The selective values of alleles in a molecular network model are context dependent.

Authors:  Jean Peccoud; Kent Vander Velden; Dean Podlich; Chris Winkler; Lane Arthur; Mark Cooper
Journal:  Genetics       Date:  2004-04       Impact factor: 4.562

Review 8.  How species evolve collectively: implications of gene flow and selection for the spread of advantageous alleles.

Authors:  Carrie L Morjan; Loren H Rieseberg
Journal:  Mol Ecol       Date:  2004-06       Impact factor: 6.185

9.  Proteomic and genetic analysis of the response of S. cerevisiae to soluble copper leads to improvement of the antimicrobial function of cellulosic copper nanoparticles.

Authors:  Xiaoqing Rong-Mullins; Matthew J Winans; Justin B Lee; Zachery R Lonergan; Vincent A Pilolli; Lyndsey M Weatherly; Thomas W Carmenzind; Lihua Jiang; Jonathan R Cumming; Gloria S Oporto; Jennifer E G Gallagher
Journal:  Metallomics       Date:  2017-09-20       Impact factor: 4.526

10.  The number of mutations selected during adaptation in a laboratory population of Saccharomyces cerevisiae.

Authors:  Clifford Zeyl
Journal:  Genetics       Date:  2005-03-02       Impact factor: 4.562

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