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  5. Specificity of the DNA Mismatch Repair System (MMR) and Mutagenesis Bias in Bacteria

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Article
en
2018

Specificity of the DNA Mismatch Repair System (MMR) and Mutagenesis Bias in Bacteria

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en
2018
Vol 35 (10)
Vol. 35
DOI: 10.1093/molbev/msy134

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Michael E Lynch
Michael E Lynch

Cornell University

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Hongan Long
Samuel F. Miller
Emily Williams
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Abstract

The mutation rate of an organism is influenced by the interaction of evolutionary forces such as natural selection and genetic drift. However, the mutation spectrum (i.e., the frequency distribution of different types of mutations) can be heavily influenced by DNA repair. Using mutation-accumulation lines of the extremophile bacterium Deinococcus radiodurans ΔmutS1 and the model soil bacterium Pseudomonas fluorescens wild-type and MMR- (Methyl-dependent Mismatch Repair-deficient) strains, we report the mutational features of these two important bacteria. We find that P. fluorescens has one of the highest MMR repair efficiencies among tested bacteria. We also discover that MMR of D. radiodurans preferentially repairs deletions, contrary to all other bacteria examined. We then, for the first time, quantify genome-wide efficiency and specificity of MMR in repairing different genomic regions and mutation types, by evaluating the P. fluorescens and D. radiodurans mutation data sets, along with previously reported ones of Bacillus subtilis subsp. subtilis, Escherichia coli, Vibrio cholerae, and V. fischeri. MMR in all six bacteria shares two general features: 1) repair efficiency is influenced by the neighboring base composition for both transitions and transversions, not limited to transversions as previously reported; and 2) MMR only recognizes indels <4 bp in length. This study demonstrates the power of mutation accumulation lines in quantifying DNA repair and mutagenesis patterns.

How to cite this publication

Hongan Long, Samuel F. Miller, Emily Williams, Michael E Lynch (2018). Specificity of the DNA Mismatch Repair System (MMR) and Mutagenesis Bias in Bacteria. , 35(10), DOI: https://doi.org/10.1093/molbev/msy134.

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Publication Details

Type

Article

Year

2018

Authors

4

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1093/molbev/msy134

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