Literature DB >> 12675802

Predicting mutation frequencies in stem-loop structures of derepressed genes: implications for evolution.

Barbara E Wright1, Dennis K Reschke, Karen H Schmidt, Jacqueline M Reimers, William Knight.   

Abstract

This work provides evidence that, during transcription, the mutability (propensity to mutate) of a base in a DNA secondary structure depends both on the stability of the structure and on the extent to which the base is unpaired. Zuker's DNA folding computer program reveals the most probable stem-loop structures (SLSs) and negative energies of folding (-DeltaG) for any given nucleotide sequence. We developed an interfacing program that calculates (i) the percentage of folds in which each base is unpaired during transcription; and (ii) the mutability index (MI) for each base, expressed as an absolute value and defined as -follows: MI = (% total folds in which the base is unpaired) x (highest -DeltaG of all folds in which it is unpaired). Thus, MIs predict the relative mutation or reversion frequencies of unpaired bases in SLSs. MIs for 16 mutable bases in auxotrophs, selected during starvation in derepressed genes, are compared with 70 background mutations in lacI and ebgR that were not derepressed during mutant selection. All the results are consistent with the location of known mutable bases in SLSs. Specific conclusions are: (i) Of 16 mutable bases in transcribing genes, 87% have higher MIs than the average base of the sequence analysed, compared with 50% for the 70 background mutations. (ii) In 15 of the mutable bases of transcribing genes, the correlation between MIs and relative mutation frequencies determined experimentally is good. There is no correlation for 35 mutable bases in the lacI gene. (iii) In derepressed auxotrophs, 100% of the codons containing the mutable bases are within one codon's length of a stem, compared with 53% for the background mutable bases in lacI. (iv) The data suggest that environmental stressors may cause as well as select mutations in derepressed genes. The implications of these results for evolution are discussed.

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Year:  2003        PMID: 12675802     DOI: 10.1046/j.1365-2958.2003.t01-1-03436.x

Source DB:  PubMed          Journal:  Mol Microbiol        ISSN: 0950-382X            Impact factor:   3.501


  19 in total

1.  I. VH gene transcription creates stabilized secondary structures for coordinated mutagenesis during somatic hypermutation.

Authors:  Barbara E Wright; Karen H Schmidt; Michael F Minnick; Nick Davis
Journal:  Mol Immunol       Date:  2008-06-27       Impact factor: 4.407

2.  II. Correlations between secondary structure stability and mutation frequency during somatic hypermutation.

Authors:  Barbara E Wright; Karen H Schmidt; Nick Davis; Aaron T Hunt; Michael F Minnick
Journal:  Mol Immunol       Date:  2008-06-26       Impact factor: 4.407

3.  Functional and metabolic effects of adaptive glycerol kinase (GLPK) mutants in Escherichia coli.

Authors:  M Kenyon Applebee; Andrew R Joyce; Tom M Conrad; Donald W Pettigrew; Bernhard Ø Palsson
Journal:  J Biol Chem       Date:  2011-05-06       Impact factor: 5.157

4.  Self-catalyzed site-specific depurination of G residues mediated by cruciform extrusion in closed circular DNA plasmids.

Authors:  Olga Amosova; Veena Kumar; Aaron Deutsch; Jacques R Fresco
Journal:  J Biol Chem       Date:  2011-08-25       Impact factor: 5.157

5.  Evolution of coordinated mutagenesis and somatic hypermutation in VH5.

Authors:  Barbara E Wright; Karen H Schmidt; Aaron T Hunt; Dennis K Reschke; Michael F Minnick
Journal:  Mol Immunol       Date:  2011-11-05       Impact factor: 4.407

6.  Stabilised DNA secondary structures with increasing transcription localise hypermutable bases for somatic hypermutation in IGHV3-23.

Authors:  Bhargavi Duvvuri; Venkata R Duvvuri; Jianhong Wu; Gillian E Wu
Journal:  Immunogenetics       Date:  2012-03-06       Impact factor: 2.846

Review 7.  Genetic instability in budding and fission yeast-sources and mechanisms.

Authors:  Adrianna Skoneczna; Aneta Kaniak; Marek Skoneczny
Journal:  FEMS Microbiol Rev       Date:  2015-06-24       Impact factor: 16.408

8.  The roles of transcription and genotoxins underlying p53 mutagenesis in vivo.

Authors:  Barbara E Wright; Karen H Schmidt; Aaron T Hunt; J Stephen Lodmell; Michael F Minnick; Dennis K Reschke
Journal:  Carcinogenesis       Date:  2011-07-29       Impact factor: 4.944

9.  Transcription-associated mutagenesis increases protein sequence diversity more effectively than does random mutagenesis in Escherichia coli.

Authors:  Hyunchul Kim; Baek-Seok Lee; Masaru Tomita; Akio Kanai
Journal:  PLoS One       Date:  2010-05-10       Impact factor: 3.240

Review 10.  Transcription as a source of genome instability.

Authors:  Nayun Kim; Sue Jinks-Robertson
Journal:  Nat Rev Genet       Date:  2012-02-14       Impact factor: 53.242

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