Literature DB >> 31515531

The fitness cost of mismatch repair mutators in Saccharomyces cerevisiae: partitioning the mutational load.

Benjamin Galeota-Sprung1, Breanna Guindon2, Paul Sniegowski2.   

Abstract

Mutational load is the depression in a population's mean fitness that results from the continual influx of deleterious mutations. Here, we directly estimate the mutational load in a population of haploid Saccharomyces cerevisiae that are deficient for mismatch repair. We partition the load in haploids into two components. To estimate the load due to nonlethal mutations, we measure the competitive fitness of hundreds of randomly selected clones from both mismatch-repair-deficient and -proficient populations. Computation of the mean clone fitness for the mismatch-repair-deficient strain permits an estimation of the nonlethal load, and the histogram of fitness provides an interesting visualization of a loaded population. In a separate experiment, in order to estimate the load due to lethal mutations (i.e. the lethal mutation rate), we manipulate thousands of individual pairs of mother and daughter cells and track their fates. These two approaches yield point estimates for the two contributors to load, and the addition of these estimates is nearly equal to the separately measured short-term competitive fitness deficit for the mismatch-repair-deficient strain. This correspondence suggests that there is no need to invoke direct fitness effects to explain the fitness difference between mismatch-repair-deficient and -proficient strains. Assays in diploids are consistent with deleterious mutations in diploids tending towards recessivity. These results enhance our understanding of mutational load, a central population genetics concept, and we discuss their implications for the evolution of mutation rates.

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Mesh:

Year:  2019        PMID: 31515531      PMCID: PMC6906417          DOI: 10.1038/s41437-019-0267-2

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  62 in total

1.  The frequency of mutators in populations of Escherichia coli.

Authors:  L Boe; M Danielsen; S Knudsen; J B Petersen; J Maymann; P R Jensen
Journal:  Mutat Res       Date:  2000-03-14       Impact factor: 2.433

Review 2.  Evolution of mutation rates in bacteria.

Authors:  Erick Denamur; Ivan Matic
Journal:  Mol Microbiol       Date:  2006-05       Impact factor: 3.501

3.  Clonal interference and the periodic selection of new beneficial mutations in Escherichia coli.

Authors:  J Arjan G M de Visser; Daniel E Rozen
Journal:  Genetics       Date:  2006-02-19       Impact factor: 4.562

4.  Mismatch Repair Incompatibilities in Diverse Yeast Populations.

Authors:  Duyen T Bui; Anne Friedrich; Najla Al-Sweel; Gianni Liti; Joseph Schacherer; Charles F Aquadro; Eric Alani
Journal:  Genetics       Date:  2017-02-13       Impact factor: 4.562

5.  High frequency of mutator strains among human uropathogenic Escherichia coli isolates.

Authors:  Erick Denamur; Stéphane Bonacorsi; Antoine Giraud; Patrick Duriez; Farida Hilali; Christine Amorin; Edouard Bingen; Antoine Andremont; Bertrand Picard; François Taddei; Ivan Matic
Journal:  J Bacteriol       Date:  2002-01       Impact factor: 3.490

Review 6.  Causes of natural variation in fitness: evidence from studies of Drosophila populations.

Authors:  Brian Charlesworth
Journal:  Proc Natl Acad Sci U S A       Date:  2015-01-08       Impact factor: 11.205

7.  COMPETITION BETWEEN HIGH AND LOW MUTATING STRAINS OF ESCHERICHIA COLI.

Authors:  Lin Chao; Edward C Cox
Journal:  Evolution       Date:  1983-01       Impact factor: 3.694

8.  Selection for high mutation rates in chemostats.

Authors:  E C Cox; T C Gibson
Journal:  Genetics       Date:  1974-06       Impact factor: 4.562

9.  Suitability of replacement markers for functional analysis studies in Saccharomyces cerevisiae.

Authors:  F Baganz; A Hayes; D Marren; D C Gardner; S G Oliver
Journal:  Yeast       Date:  1997-12       Impact factor: 3.239

10.  Ribosomal proteins Rpl10 and Rps6 are potent regulators of yeast replicative life span.

Authors:  Andreas Chiocchetti; Jia Zhou; Huashun Zhu; Thomas Karl; Olaf Haubenreisser; Mark Rinnerthaler; Gino Heeren; Kamil Oender; Johann Bauer; Helmut Hintner; Michael Breitenbach; Lore Breitenbach-Koller
Journal:  Exp Gerontol       Date:  2006-12-14       Impact factor: 4.032

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