Literature DB >> 20194517

Fitness epistasis among 6 biosynthetic loci in the budding yeast Saccharomyces cerevisiae.

David W Hall1, Matthew Agan, Sara C Pope.   

Abstract

We generated all possible haploid and homozygous diploid genotypes at 6 biosynthetic loci in yeast and scored their fitness to examine whether there was any pattern of weak synergistic epistasis, which is a requirement of the deterministic mutation model for the evolution of sex. We measured 4 components of fitness: haploid growth rate, haploid mating efficiency, diploid growth rate, and diploid sporulation efficiency. We found that in agreement with previous work in yeast, epistasis tended to be small in magnitude and variable in sign, regardless of the fitness component measured. The number of background mutations had either no effect or no consistent effect on epistasis distributions. For every combination of 2 loci in a mutation-free background, we also generated all heterozygous genotypes so that we could partition diploid epistasis into additive x additive, additive x dominance, and dominance x dominance epistasis. Our main interest was in determining whether dominance by dominance epistasis was large and negative, which is a requirement of diploid models with inbreeding to explain high levels of recombination. Dominance by dominance epistasis estimates obtained by partitioning diploid epistasis for growth rates were both positive and negative. With the caveat that our results are based on only 6 biosynthetic loci, epistasis for fitness is not supported as an explanation for the maintenance of sex or the high rate of meiotic recombination in yeast.

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Year:  2010        PMID: 20194517     DOI: 10.1093/jhered/esq007

Source DB:  PubMed          Journal:  J Hered        ISSN: 0022-1503            Impact factor:   2.645


  15 in total

1.  Evolutionary constraints in fitness landscapes.

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3.  Inferring fitness landscapes by regression produces biased estimates of epistasis.

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Review 4.  Empirical fitness landscapes and the predictability of evolution.

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Review 5.  What can we learn from fitness landscapes?

Authors:  Daniel L Hartl
Journal:  Curr Opin Microbiol       Date:  2014-10-13       Impact factor: 7.934

Review 6.  The causes of epistasis.

Authors:  J Arjan G M de Visser; Tim F Cooper; Santiago F Elena
Journal:  Proc Biol Sci       Date:  2011-10-05       Impact factor: 5.349

Review 7.  Should evolutionary geneticists worry about higher-order epistasis?

Authors:  Daniel M Weinreich; Yinghong Lan; C Scott Wylie; Robert B Heckendorn
Journal:  Curr Opin Genet Dev       Date:  2013-11-27       Impact factor: 5.578

8.  Genotype to phenotype mapping and the fitness landscape of the E. coli lac promoter.

Authors:  Jakub Otwinowski; Ilya Nemenman
Journal:  PLoS One       Date:  2013-05-01       Impact factor: 3.240

9.  Genetic analysis of the Candida albicans biofilm transcription factor network using simple and complex haploinsufficiency.

Authors:  Virginia E Glazier; Thomas Murante; Daniel Murante; Kristy Koselny; Yuan Liu; Dongyeop Kim; Hyun Koo; Damian J Krysan
Journal:  PLoS Genet       Date:  2017-08-09       Impact factor: 5.917

10.  Steering Evolution with Sequential Therapy to Prevent the Emergence of Bacterial Antibiotic Resistance.

Authors:  Daniel Nichol; Peter Jeavons; Alexander G Fletcher; Robert A Bonomo; Philip K Maini; Jerome L Paul; Robert A Gatenby; Alexander R A Anderson; Jacob G Scott
Journal:  PLoS Comput Biol       Date:  2015-09-11       Impact factor: 4.475

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