Literature DB >> 23533222

No gene-specific optimization of mutation rate in Escherichia coli.

Xiaoshu Chen1, Jianzhi Zhang.   

Abstract

Mutation rate is one of the most fundamental parameters in genetics and evolutionary biology because mutation rate has major impacts on the incidence of disease, the amount of genetic variation, and the rate and trajectory of evolution. Based on estimates of synonymous nucleotide diversity in Escherichia coli, a recent study claimed that the per-nucleotide mutation rate in a gene decreases with the rise of its expression level or the intensity of purifying selection and that this trend reflects adaptive risk management. Here, we demonstrate that this argument is theoretically untenable, especially in the lack of mechanisms that simultaneously tune the mutabilities of multiple genes with similar fractions of deleterious mutations. Analyzing published genome sequences of E. coli mutation accumulation lines, we show that mutation rates are actually higher in more highly expressed genes, similar to previous genome-wide observations in Salmonella typhimurium, Saccharomyces cerevisiae, and the human germline. These general patterns likely arise from transcription-associated mutagenesis that exceeds transcription-coupled repair.

Entities:  

Keywords:  E. coli; expression level; mutation rate; natural selection

Mesh:

Year:  2013        PMID: 23533222      PMCID: PMC3684851          DOI: 10.1093/molbev/mst060

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  27 in total

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Review 2.  DNA mismatch repair: molecular mechanisms and biological function.

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Journal:  Mol Biol Evol       Date:  2006-04-18       Impact factor: 16.240

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Journal:  Genetics       Date:  1995-08       Impact factor: 4.562

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Journal:  Genetics       Date:  1994-09       Impact factor: 4.562

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Authors:  Tomoya Baba; Takeshi Ara; Miki Hasegawa; Yuki Takai; Yoshiko Okumura; Miki Baba; Kirill A Datsenko; Masaru Tomita; Barry L Wanner; Hirotada Mori
Journal:  Mol Syst Biol       Date:  2006-02-21       Impact factor: 11.429

10.  Selection acts on DNA secondary structures to decrease transcriptional mutagenesis.

Authors:  Claire Hoede; Erick Denamur; Olivier Tenaillon
Journal:  PLoS Genet       Date:  2006-09-01       Impact factor: 5.917

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  32 in total

1.  Determinants of spontaneous mutation in the bacterium Escherichia coli as revealed by whole-genome sequencing.

Authors:  Patricia L Foster; Heewook Lee; Ellen Popodi; Jesse P Townes; Haixu Tang
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-12       Impact factor: 11.205

Review 2.  Mutation--The Engine of Evolution: Studying Mutation and Its Role in the Evolution of Bacteria.

Authors:  Ruth Hershberg
Journal:  Cold Spring Harb Perspect Biol       Date:  2015-09-01       Impact factor: 10.005

3.  Genetics: Feedforward loop for diversity.

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Journal:  Nature       Date:  2015-07-15       Impact factor: 49.962

4.  Parent-progeny sequencing indicates higher mutation rates in heterozygotes.

Authors:  Sihai Yang; Long Wang; Ju Huang; Xiaohui Zhang; Yang Yuan; Jian-Qun Chen; Laurence D Hurst; Dacheng Tian
Journal:  Nature       Date:  2015-07-15       Impact factor: 49.962

Review 5.  Genetic drift, selection and the evolution of the mutation rate.

Authors:  Michael Lynch; Matthew S Ackerman; Jean-Francois Gout; Hongan Long; Way Sung; W Kelley Thomas; Patricia L Foster
Journal:  Nat Rev Genet       Date:  2016-10-14       Impact factor: 53.242

6.  A Dual-Mechanism Antibiotic Kills Gram-Negative Bacteria and Avoids Drug Resistance.

Authors:  James K Martin; Joseph P Sheehan; Benjamin P Bratton; Gabriel M Moore; André Mateus; Sophia Hsin-Jung Li; Hahn Kim; Joshua D Rabinowitz; Athanasios Typas; Mikhail M Savitski; Maxwell Z Wilson; Zemer Gitai
Journal:  Cell       Date:  2020-06-03       Impact factor: 41.582

7.  Precise estimates of mutation rate and spectrum in yeast.

Authors:  Yuan O Zhu; Mark L Siegal; David W Hall; Dmitri A Petrov
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-20       Impact factor: 11.205

8.  Yeast mutation accumulation experiment supports elevated mutation rates at highly transcribed sites.

Authors:  Xiaoshu Chen; Jianzhi Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-12       Impact factor: 11.205

9.  Higher Germline Mutagenesis of Genes with Stronger Testis Expressions Refutes the Transcriptional Scanning Hypothesis.

Authors:  Haoxuan Liu; Jianzhi Zhang
Journal:  Mol Biol Evol       Date:  2020-11-01       Impact factor: 16.240

Review 10.  Determinants of the rate of protein sequence evolution.

Authors:  Jianzhi Zhang; Jian-Rong Yang
Journal:  Nat Rev Genet       Date:  2015-06-09       Impact factor: 53.242

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