Literature DB >> 20382832

Distribution of fitness effects caused by single-nucleotide substitutions in bacteriophage f1.

Joan B Peris1, Paulina Davis, José M Cuevas, Miguel R Nebot, Rafael Sanjuán.   

Abstract

Empirical knowledge of the fitness effects of mutations is important for understanding many evolutionary processes, yet this knowledge is often hampered by several sources of measurement error and bias. Most of these problems can be solved using site-directed mutagenesis to engineer single mutations, an approach particularly suited for viruses due to their small genomes. Here, we used this technique to measure the fitness effect of 100 single-nucleotide substitutions in the bacteriophage f1, a filamentous single-strand DNA virus. We found that approximately one-fifth of all mutations are lethal. Viable ones reduced fitness by 11% on average and were accurately described by a log-normal distribution. More than 90% of synonymous substitutions were selectively neutral, while those affecting intergenic regions reduced fitness by 14% on average. Mutations leading to amino acid substitutions had an overall mean deleterious effect of 37%, which increased to 45% for those changing the amino acid polarity. Interestingly, mutations affecting early steps of the infection cycle tended to be more deleterious than those affecting late steps. Finally, we observed at least two beneficial mutations. Our results confirm that high mutational sensitivity is a general property of viruses with small genomes, including RNA and single-strand DNA viruses infecting animals, plants, and bacteria.

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Year:  2010        PMID: 20382832      PMCID: PMC2881140          DOI: 10.1534/genetics.110.115162

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  32 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  1991-08-15       Impact factor: 11.205

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Journal:  Genetics       Date:  1977-11       Impact factor: 4.562

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Journal:  Genetics       Date:  1996-06       Impact factor: 4.562

Review 5.  Rates of spontaneous mutation.

Authors:  J W Drake; B Charlesworth; D Charlesworth; J F Crow
Journal:  Genetics       Date:  1998-04       Impact factor: 4.562

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Journal:  Proc Natl Acad Sci U S A       Date:  1997-04-15       Impact factor: 11.205

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Authors:  J R Peck; G Barreau; S C Heath
Journal:  Genetics       Date:  1997-04       Impact factor: 4.562

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Authors:  J W Thatcher; J M Shaw; W J Dickinson
Journal:  Proc Natl Acad Sci U S A       Date:  1998-01-06       Impact factor: 11.205

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Journal:  Nature       Date:  1996-06-20       Impact factor: 49.962

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Authors:  D Butcher
Journal:  Genetics       Date:  1995-09       Impact factor: 4.562

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  35 in total

1.  Measuring selection coefficients below 10(-3): method, questions, and prospects.

Authors:  Romain Gallet; Tim F Cooper; Santiago F Elena; Thomas Lenormand
Journal:  Genetics       Date:  2011-10-31       Impact factor: 4.562

Review 2.  Viral mutation rates.

Authors:  Rafael Sanjuán; Miguel R Nebot; Nicola Chirico; Louis M Mansky; Robert Belshaw
Journal:  J Virol       Date:  2010-07-21       Impact factor: 5.103

Review 3.  Mutational fitness effects in RNA and single-stranded DNA viruses: common patterns revealed by site-directed mutagenesis studies.

Authors:  Rafael Sanjuán
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-06-27       Impact factor: 6.237

4.  Simulations reveal challenges to artificial community selection and possible strategies for success.

Authors:  Li Xie; Alex E Yuan; Wenying Shou
Journal:  PLoS Biol       Date:  2019-06-25       Impact factor: 8.029

5.  A biophysical protein folding model accounts for most mutational fitness effects in viruses.

Authors:  C Scott Wylie; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-24       Impact factor: 11.205

6.  Variability in the durability of CRISPR-Cas immunity.

Authors:  Hélène Chabas; Antoine Nicot; Sean Meaden; Edze R Westra; Denise M Tremblay; Léa Pradier; Sébastien Lion; Sylvain Moineau; Sylvain Gandon
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-05-13       Impact factor: 6.237

7.  The phenotype-fitness map in experimental evolution of phages.

Authors:  James J Bull; Richard H Heineman; Claus O Wilke
Journal:  PLoS One       Date:  2011-11-22       Impact factor: 3.240

8.  Haplotype-based inference of the distribution of fitness effects.

Authors:  Diego Ortega-Del Vecchyo; Kirk E Lohmueller; John Novembre
Journal:  Genetics       Date:  2022-04-04       Impact factor: 4.562

9.  Horizontal gene transfer dynamics and distribution of fitness effects during microbial in silico evolution.

Authors:  Vadim Mozhayskiy; Ilias Tagkopoulos
Journal:  BMC Bioinformatics       Date:  2012-06-25       Impact factor: 3.169

10.  Latent effects of Hsp90 mutants revealed at reduced expression levels.

Authors:  Li Jiang; Parul Mishra; Ryan T Hietpas; Konstantin B Zeldovich; Daniel N A Bolon
Journal:  PLoS Genet       Date:  2013-06-27       Impact factor: 5.917

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