Antimutator mutations reduce spontaneous mutation rates, at least at some sites and along some pathways. Antimutators have been found in several microbial systems since their initial discovery in bacteriophage T4, where they occur mainly among mutations of gene 43 (which encodes the viral DNA polymerase). The phage T4 antimutators are highly specific, often strongly reducing mutations rates but only along specific pathways, usually A.T-->G.C. They may fail to affect other pathways, such as G.C-->A.T, and may even accelerate mutation at yet other pathways, such as transversions (R.Y-->Y.R). Both enzymatic and evolutionary considerations suggest that it should be difficult to isolate strong, general antimutator mutations, that is, mutations that substantially lower the total spontaneous mutation rate over the entire genome without producing strongly deleterious side effects. This notion has been tested by measuring mutation rates over a target comprising several kilobases in a set of phage T4 antimutators. In each case, this rate was indistinguishable from or greater than the wild-type rate. A survey of reports describing antimutators in other microbes reveals that none are yet demonstrated to be general antimutators.
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http://dx.doi.org/10.1006/jmbi.1993.1002 | DOI Listing |
Nat Commun
October 2023
School of Natural Sciences, Massey University, Palmerston North, New Zealand.
The normally antiviral enzyme APOBEC3A is an endogenous mutagen in human cancer. Its single-stranded DNA C-to-U editing activity results in multiple mutagenic outcomes including signature single-base substitution mutations (isolated and clustered), DNA breakage, and larger-scale chromosomal aberrations. APOBEC3A inhibitors may therefore comprise a unique class of anti-cancer agents that work by blocking mutagenesis, slowing tumor evolvability, and preventing detrimental outcomes such as drug resistance and metastasis.
View Article and Find Full Text PDFbioRxiv
February 2023
School of Natural Sciences, Massey University, Palmerston North, New Zealand.
The normally antiviral enzyme APOBEC3A is an endogenous mutagen in many different human cancers, where it becomes hijacked to fuel tumor evolvability. APOBEC3A's single-stranded DNA C-to-U editing activity results in multiple mutagenic outcomes including signature single-base substitution mutations (isolated and clustered), DNA breakage, and larger-scale chromosomal aberrations. Transgenic expression in mice demonstrates its tumorigenic potential.
View Article and Find Full Text PDFGenome Biol Evol
September 2020
BEACON Center for the Study of Evolution in Action, Michigan State University.
All organisms encode enzymes that replicate, maintain, pack, recombine, and repair their genetic material. For this reason, mutation rates and biases also evolve by mutation, variation, and natural selection. By examining metagenomic time series of the Lenski long-term evolution experiment (LTEE) with Escherichia coli (Good BH, McDonald MJ, Barrick JE, Lenski RE, Desai MM.
View Article and Find Full Text PDFGenetics
August 2020
Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington 98195
Mutations affecting DNA polymerase exonuclease domains or mismatch repair (MMR) generate "mutator" phenotypes capable of driving tumorigenesis. Cancers with both defects exhibit an explosive increase in mutation burden that appears to reach a threshold, consistent with selection acting against further mutation accumulation. In haploid yeast, simultaneous defects in polymerase proofreading and MMR select for "antimutator" mutants that suppress the mutator phenotype.
View Article and Find Full Text PDFG3 (Bethesda)
August 2020
Center for the Physics of Living Cells, University of Illinois at Urbana-Champaign, Urbana, IL 61801, and
The mutation rate and mutations' effects on fitness are crucial to evolution. Mutation rates are under selection due to linkage between mutation rate modifiers and mutations' effects on fitness. The linkage between a higher mutation rate and more beneficial mutations selects for higher mutation rates, while the linkage between a higher mutation rate and more deleterious mutations selects for lower mutation rates.
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