Literature DB >> 19299502

The cost of gene expression underlies a fitness trade-off in yeast.

Gregory I Lang1, Andrew W Murray, David Botstein.   

Abstract

Natural selection optimizes an organism's genotype within the context of its environment. Adaptations to one environment can decrease fitness in another, revealing evolutionary trade-offs. Here, we show that the cost of gene expression underlies a trade-off between growth rate and mating efficiency in the yeast Saccharomyces cerevisiae. During asexual growth, mutations that eliminate the ability to mate provide an approximately 2% per-generation growth-rate advantage. Some strains, including most laboratory strains, carry an allele of GPA1 (an upstream component of the mating pathway) that increases mating efficiency by approximately 30% per round of mating at the cost of an approximately 1% per-generation growth-rate disadvantage. In addition to demonstrating a trade-off between growth rate and mating efficiency, our results illustrate differences in the selective pressures defining fitness in the laboratory versus the natural environment and show that selection, acting on the cost of gene expression, can optimize expression levels and promote gene loss.

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Mesh:

Year:  2009        PMID: 19299502      PMCID: PMC2658138          DOI: 10.1073/pnas.0901620106

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  42 in total

1.  Signaling and circuitry of multiple MAPK pathways revealed by a matrix of global gene expression profiles.

Authors:  C J Roberts; B Nelson; M J Marton; R Stoughton; M R Meyer; H A Bennett; Y D He; H Dai; W L Walker; T R Hughes; M Tyers; C Boone; S H Friend
Journal:  Science       Date:  2000-02-04       Impact factor: 47.728

2.  Trans-acting regulatory variation in Saccharomyces cerevisiae and the role of transcription factors.

Authors:  Gaël Yvert; Rachel B Brem; Jacqueline Whittle; Joshua M Akey; Eric Foss; Erin N Smith; Rachel Mackelprang; Leonid Kruglyak
Journal:  Nat Genet       Date:  2003-08-03       Impact factor: 38.330

3.  Courtship in S. cerevisiae: both cell types choose mating partners by responding to the strongest pheromone signal.

Authors:  C L Jackson; L H Hartwell
Journal:  Cell       Date:  1990-11-30       Impact factor: 41.582

Review 4.  MAP kinase pathways in yeast: for mating and more.

Authors:  I Herskowitz
Journal:  Cell       Date:  1995-01-27       Impact factor: 41.582

5.  Loss of dispensable genes is not adaptive in yeast.

Authors:  Piotr Sliwa; Ryszard Korona
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-28       Impact factor: 11.205

6.  Global analysis of protein expression in yeast.

Authors:  Sina Ghaemmaghami; Won-Ki Huh; Kiowa Bower; Russell W Howson; Archana Belle; Noah Dephoure; Erin K O'Shea; Jonathan S Weissman
Journal:  Nature       Date:  2003-10-16       Impact factor: 49.962

7.  Genealogy of principal strains of the yeast genetic stock center.

Authors:  R K Mortimer; J R Johnston
Journal:  Genetics       Date:  1986-05       Impact factor: 4.562

8.  Genome-wide detection of polymorphisms at nucleotide resolution with a single DNA microarray.

Authors:  David Gresham; Douglas M Ruderfer; Stephen C Pratt; Joseph Schacherer; Maitreya J Dunham; David Botstein; Leonid Kruglyak
Journal:  Science       Date:  2006-03-09       Impact factor: 47.728

9.  The anaphase-promoting complex is required in G1 arrested yeast cells to inhibit B-type cyclin accumulation and to prevent uncontrolled entry into S-phase.

Authors:  S Irniger; K Nasmyth
Journal:  J Cell Sci       Date:  1997-07       Impact factor: 5.285

10.  Genome-wide analysis of nucleotide-level variation in commonly used Saccharomyces cerevisiae strains.

Authors:  Joseph Schacherer; Douglas M Ruderfer; David Gresham; Kara Dolinski; David Botstein; Leonid Kruglyak
Journal:  PLoS One       Date:  2007-03-28       Impact factor: 3.240

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  77 in total

1.  Regulatory architecture determines optimal regulation of gene expression in metabolic pathways.

Authors:  Victor Chubukov; Ignacio A Zuleta; Hao Li
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-13       Impact factor: 11.205

2.  Physical limits on cooperative protein-DNA binding and the kinetics of combinatorial transcription regulation.

Authors:  Nico Geisel; Ulrich Gerland
Journal:  Biophys J       Date:  2011-10-05       Impact factor: 4.033

3.  Asymmetry in sexual pheromones is not required for ascomycete mating.

Authors:  Joana Gonçalves-Sá; Andrew Murray
Journal:  Curr Biol       Date:  2011-08-11       Impact factor: 10.834

Review 4.  Topology and control of the cell-cycle-regulated transcriptional circuitry.

Authors:  Steven B Haase; Curt Wittenberg
Journal:  Genetics       Date:  2014-01       Impact factor: 4.562

5.  Unisexual reproduction enhances fungal competitiveness by promoting habitat exploration via hyphal growth and sporulation.

Authors:  Sujal S Phadke; Marianna Feretzaki; Joseph Heitman
Journal:  Eukaryot Cell       Date:  2013-06-21

Review 6.  The spectrum of adaptive mutations in experimental evolution.

Authors:  Gregory I Lang; Michael M Desai
Journal:  Genomics       Date:  2014-09-28       Impact factor: 5.736

7.  Adaptation limits ecological diversification and promotes ecological tinkering during the competition for substitutable resources.

Authors:  Benjamin H Good; Stephen Martis; Oskar Hallatschek
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-15       Impact factor: 11.205

8.  Compartmentalization of a bistable switch enables memory to cross a feedback-driven transition.

Authors:  Andreas Doncic; Oguzhan Atay; Ervin Valk; Alicia Grande; Alan Bush; Gustavo Vasen; Alejandro Colman-Lerner; Mart Loog; Jan M Skotheim
Journal:  Cell       Date:  2015-03-12       Impact factor: 41.582

9.  Heterozygote Advantage Is a Common Outcome of Adaptation in Saccharomyces cerevisiae.

Authors:  Diamantis Sellis; Daniel J Kvitek; Barbara Dunn; Gavin Sherlock; Dmitri A Petrov
Journal:  Genetics       Date:  2016-05-18       Impact factor: 4.562

10.  The Integrated Genome Browser: free software for distribution and exploration of genome-scale datasets.

Authors:  John W Nicol; Gregg A Helt; Steven G Blanchard; Archana Raja; Ann E Loraine
Journal:  Bioinformatics       Date:  2009-08-04       Impact factor: 6.937

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