Coevolution with viruses drives the evolution of bacterial mutation rates

Nature ◽  
2007 ◽  
Vol 450 (7172) ◽  
pp. 1079-1081 ◽  
Author(s):  
Csaba Pal ◽  
María D. Maciá ◽  
Antonio Oliver ◽  
Ira Schachar ◽  
Angus Buckling
2013 ◽  
Vol 280 (1773) ◽  
pp. 20131913 ◽  
Author(s):  
Siobhán O'Brien ◽  
Antonio M. M. Rodrigues ◽  
Angus Buckling

Many bacterial populations harbour substantial numbers of hypermutable bacteria, in spite of hypermutation being associated with deleterious mutations. One reason for the persistence of hypermutators is the provision of novel mutations, enabling rapid adaptation to continually changing environments, for example coevolving virulent parasites. However, hypermutation also increases the rate at which intraspecific parasites (social cheats) are generated. Interspecific and intraspecific parasitism are therefore likely to impose conflicting selection pressure on mutation rate. Here, we combine theory and experiments to investigate how simultaneous selection from inter- and intraspecific parasitism affects the evolution of bacterial mutation rates in the plant-colonizing bacterium Pseudomonas fluorescens. Both our theoretical and experimental results suggest that phage presence increases and selection for public goods cooperation (the production of iron-scavenging siderophores) decreases selection for mutator bacteria. Moreover, phages imposed a much greater growth cost than social cheating, and when both selection pressures were imposed simultaneously, selection for cooperation did not affect mutation rate evolution. Given the ubiquity of infectious phages in the natural environment and clinical infections, our results suggest that phages are likely to be more important than social interactions in determining mutation rate evolution.


2019 ◽  
Vol 374 (1772) ◽  
pp. 20180094 ◽  
Author(s):  
Anne Chevallereau ◽  
Sean Meaden ◽  
Stineke van Houte ◽  
Edze R. Westra ◽  
Clare Rollie

CRISPR-Cas immune systems are present in around half of bacterial genomes. Given the specificity and adaptability of this immune mechanism, it is perhaps surprising that they are not more widespread. Recent insights into the requirement for specific host factors for the function of some CRISPR-Cas subtypes, as well as the negative epistasis between CRISPR-Cas and other host genes, have shed light on potential reasons for the partial distribution of this immune strategy in bacteria. In this study, we examined how mutations in the bacterial mismatch repair system, which are frequently observed in natural and clinical isolates and cause elevated host mutation rates, influence the evolution of CRISPR-Cas–mediated immunity. We found that hosts with a high mutation rate very rarely evolved CRISPR-based immunity to phage compared to wild-type hosts. We explored the reason for this effect and found that the higher frequency at which surface mutants pre-exist in the mutator host background causes them to rapidly become the dominant phenotype under phage infection. These findings suggest that natural variation in bacterial mutation rates may, therefore, influence the distribution of CRISPR-Cas adaptive immune systems. This article is part of a discussion meeting issue ‘The ecology and evolution of prokaryotic CRISPR-Cas adaptive immune systems’.


2002 ◽  
Vol 19 (1) ◽  
pp. 85-92 ◽  
Author(s):  
Richard Ellis Hudson ◽  
Ulfar Bergthorsson ◽  
John R. Roth ◽  
Howard Ochman

Genetics ◽  
1994 ◽  
Vol 137 (4) ◽  
pp. 1139-1146 ◽  
Author(s):  
F M Stewart

Abstract Fifty one years ago, Luria and Delbrück published in Genetics a paper that was to become a classic. In it they proved, beyond all reasonable doubt, that bacteria were mutating to phage resistance long before they could have encountered any bacteriophage. Luria and Delbrück also showed how the same experimental data could be used to estimate bacterial mutation rates. Since that time and in many different contexts the methods that they introduced have been used to estimate mutation rates. However, little seems to be known about the errors to be expected in such estimates. In what follows I examine how much uncertainty in the estimates is to be expected merely on the basis of the stochastic variability inherent in the sampling process. On the basis of this examination I question a few traditional ideas and conclude with some practical suggestions. The results were obtained by stimulation. It is my hope that they may inspire others to provide a rigorous theoretical basis for such calculations.


2020 ◽  
Vol 2 (1) ◽  
pp. 31
Author(s):  
Jonathan Bartlett

The Kelly Criterion defines an optimal betting strategy for games that have a defined risk and payoff. This letter explores the question of if this can be used as a methodology for analyzing mutation rates.


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