Literature DB >> 10861902

Budding yeast as a model organism for population genetics.

C Zeyl1.   

Abstract

Population genetics is a highly theoretical field in which many models and theories of broad significance have received little experimental testing. Microbes are well-suited for empirical population genetics since populations of almost any size may be studied genetically, and because many have easily controlled life cycles. Saccharomyces cerevisiae is almost ideal for such studies as the growing body of knowledge and techniques that have made it the best characterized eukaryote genome also allow the experimental manipulation and analysis of its population genetics. In experiments to date, the evolution of laboratory yeast populations has been observed for up to 1000 generations. In several cases, adaptation has occurred by gene duplications. The interaction between mutation, selection and genetic drift at varying population sizes is a major area of theoretical study in which yeast experiments can provide particularly valuable data. Conflicts between gene-level and among-cell selection, and co-evolution between genes within a genome, are additional topics in which a population genetics perspective may be particularly helpful. The growing field of genomics is increasingly complementary with that of population genetics. The characterization of the yeast genome presents unprecedented opportunities for the detailed study of evolutionary and population genetics. Conversely, the redundancy of the yeast genome means that, for many open reading frames, deletion has only a quantitative effect that is most readily observed in competitions with a wild-type strain. Copyright 2000 John Wiley & Sons, Ltd.

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Year:  2000        PMID: 10861902     DOI: 10.1002/1097-0061(20000615)16:8<773::AID-YEA599>3.0.CO;2-1

Source DB:  PubMed          Journal:  Yeast        ISSN: 0749-503X            Impact factor:   3.239


  8 in total

1.  Complex genetic changes in strains of Saccharomyces cerevisiae derived by selection in the laboratory.

Authors:  Joshua T Witten; Christina T L Chen; Barak A Cohen
Journal:  Genetics       Date:  2007-07-29       Impact factor: 4.562

2.  How many antiviral small interfering RNAs may be encoded by the mammalian genomes?

Authors:  Anastasia Zabolotneva; Victor Tkachev; Felix Filatov; Anton Buzdin
Journal:  Biol Direct       Date:  2010-11-08       Impact factor: 4.540

3.  Estimates of the rate and distribution of fitness effects of spontaneous mutation in Saccharomyces cerevisiae.

Authors:  C Zeyl; J A DeVisser
Journal:  Genetics       Date:  2001-01       Impact factor: 4.562

4.  Molecular-genetic biodiversity in a natural population of the yeast Saccharomyces cerevisiae from "Evolution Canyon": microsatellite polymorphism, ploidy and controversial sexual status.

Authors:  T Katz Ezov; E Boger-Nadjar; Z Frenkel; I Katsperovski; S Kemeny; E Nevo; A Korol; Y Kashi
Journal:  Genetics       Date:  2006-09-15       Impact factor: 4.562

5.  Genetic variability and physiological traits of Saccharomyces cerevisiae strains isolated from "Vale dos Vinhedos" vineyards reflect agricultural practices and history of this Brazilian wet subtropical area.

Authors:  Giulia Crosato; Milena Carlot; Alberto De Iseppi; Juliano Garavaglia; Laura Massochin Nunes Pinto; Denise Righetto Ziegler; Renata Cristina de Souza Ramos; Rochele Cassanta Rossi; Chiara Nadai; Alessio Giacomini; Viviana Corich
Journal:  World J Microbiol Biotechnol       Date:  2018-07-03       Impact factor: 3.312

6.  Population genetics of the wild yeast Saccharomyces paradoxus.

Authors:  Louise J Johnson; Vassiliki Koufopanou; Matthew R Goddard; Richard Hetherington; Stefanie M Schäfer; Austin Burt
Journal:  Genetics       Date:  2004-01       Impact factor: 4.562

7.  Mining for genotype-phenotype relations in Saccharomyces using partial least squares.

Authors:  Tahir Mehmood; Harald Martens; Solve Saebø; Jonas Warringer; Lars Snipen
Journal:  BMC Bioinformatics       Date:  2011-08-03       Impact factor: 3.169

8.  Systematic quantification of gene interactions by phenotypic array analysis.

Authors:  John L Hartman; Nicholas P Tippery
Journal:  Genome Biol       Date:  2004-06-29       Impact factor: 13.583

  8 in total

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