scholarly journals Evolution of mutation rates in hypermutable populations of Escherichia coli propagated at very small effective population size

2017 ◽  
Vol 13 (3) ◽  
pp. 20160849 ◽  
Author(s):  
Tanya Singh ◽  
Meredith Hyun ◽  
Paul Sniegowski
Keyword(s):  
Escherichia Coli ◽  
Genetic Variation ◽  
Mutation Rate ◽  
Mutation Rates ◽  
Deleterious Mutations ◽  
Effective Population ◽  
Ultimate Source ◽  
Systematic Evolution ◽  
Small Effective Size ◽  
Small Effective Population Size

Mutation is the ultimate source of the genetic variation—including variation for mutation rate itself—that fuels evolution. Natural selection can raise or lower the genomic mutation rate of a population by changing the frequencies of mutation rate modifier alleles associated with beneficial and deleterious mutations. Existing theory and observations suggest that where selection is minimized, rapid systematic evolution of mutation rate either up or down is unlikely. Here, we report systematic evolution of higher and lower mutation rates in replicate hypermutable Escherichia coli populations experimentally propagated at very small effective size—a circumstance under which selection is greatly reduced. Several populations went extinct during this experiment, and these populations tended to evolve elevated mutation rates. In contrast, populations that survived to the end of the experiment tended to evolve decreased mutation rates. We discuss the relevance of our results to current ideas about the evolution, maintenance and consequences of high mutation rates.

scholarly journals Widespread selection against deleterious mutations in the Drosophila genome

2020 ◽  
Author(s):  
Pavel Khromov ◽  
Alexandre V. Morozov
Keyword(s):  
Population Genetics ◽  
Steady State ◽  
Genomic Sequences ◽  
Mutation Rates ◽  
Drosophila Genome ◽  
Deleterious Mutations ◽  
Effective Population ◽  
Ewens Sampling Formula ◽  
Selective Constraints ◽  
Sampling Formula

AbstractWe have developed a computational approach to simultaneous genome-wide inference of key population genetics parameters: selection strengths, mutation rates rescaled by the effective population size and the fraction of viable genotypes, solely from an alignment of genomic sequences sampled from the same population. Our approach is based on a generalization of the Ewens sampling formula, used to compute steady-state probabilities of allelic counts in a neutrally evolving population, to populations subjected to selective constraints. Patterns of polymorphisms observed in alignments of genomic sequences are used as input to Approximate Bayesian Computation, which employs the generalized Ewens sampling formula to infer the distributions of population genetics parameters. After carrying out extensive validation of our approach on synthetic data, we have applied it to the evolution of the Drosophila melanogaster genome, where an alignment of 197 genomic sequences is available for a single ancestral-range population from Zambia, Africa. We have divided the Drosophila genome into 100-bp windows and assumed that sequences in each window can exist in either low- or high-fitness state. Thus, the steady-state population in our model is subject to a constant influx of deleterious mutations, which shape the observed frequencies of allelic counts in each window. Our approach, which focuses on deleterious mutations and accounts for intra-window linkage and epistasis, provides an alternative description of background selection. We find that most of the Drosophila genome evolves under selective constraints imposed by deleterious mutations. These constraints are not confined to known functional regions of the genome such as coding sequences and may reflect global biological processes such as the necessity to maintain chromatin structure. Furthermore, we find that inference of mutation rates in the presence of selection leads to mutation rate estimates that are several-fold higher than neutral estimates widely used in the literature. Our computational pipeline can be used in any organism for which a sample of genomic sequences from the same population is available.

scholarly journals De novo mutations across 1,465 diverse genomes reveal novel mutational insights and reductions in the Amish founder population

2019 ◽  
Author(s):  
Michael D. Kessler ◽  
Douglas P. Loesch ◽  
James A. Perry ◽  
Nancy L. Heard-Costa ◽  
Brian E. Cade ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Mutation Rate ◽  
De Novo ◽  
Population Level ◽  
Mutation Rates ◽  
Founder Population ◽  
Single Nucleotide ◽  
Genome Wide ◽  
Nucleotide Mutation ◽  
Rare Genetic Variation

Abstractde novo Mutations (DNMs), or mutations that appear in an individual despite not being seen in their parents, are an important source of genetic variation whose impact is relevant to studies of human evolution, genetics, and disease. Utilizing high-coverage whole genome sequencing data as part of the Trans-Omics for Precision Medicine (TOPMed) program, we directly estimate and analyze DNM counts, rates, and spectra from 1,465 trios across an array of diverse human populations. Using the resulting call set of 86,865 single nucleotide DNMs, we find a significant positive correlation between local recombination rate and local DNM rate, which together can explain up to 35.5% of the genome-wide variation in population level rare genetic variation from 41K unrelated TOPMed samples. While genome-wide heterozygosity does correlate weakly with DNM count, we do not find significant differences in DNM rate between individuals of European, African, and Latino ancestry, nor across ancestrally distinct segments within admixed individuals. However, interestingly, we do find significantly fewer DNMs in Amish individuals compared with other Europeans, even after accounting for parental age and sequencing center. Specifically, we find significant reductions in the number of T→C mutations in the Amish, which seems to underpin their overall reduction in DNMs. Finally, we calculate near-zero estimates of narrow sense heritability (h2), which suggest that variation in DNM rate is significantly shaped by non-additive genetic effects and/or the environment, and that a less mutagenic environment may be responsible for the reduced DNM rate in the Amish.SignificanceHere we provide one of the largest and most diverse human de novo mutation (DNM) call sets to date, and use it to quantify the genome-wide relationship between local mutation rate and population-level rare genetic variation. While we demonstrate that the human single nucleotide mutation rate is similar across numerous human ancestries and populations, we also discover a reduced mutation rate in the Amish founder population, which shows that mutation rates can shift rapidly. Finally, we find that variation in mutation rates is not heritable, which suggests that the environment may influence mutation rates more significantly than previously realized.

scholarly journals Escherichia coli with a Tunable Point Mutation Rate for Evolution Experiments

2020 ◽  
Vol 10 (8) ◽  
pp. 2671-2681 ◽  
Author(s):  
Nicholas A. Sherer ◽  
Thomas E. Kuhlman
Keyword(s):  
Escherichia Coli ◽  
Point Mutation ◽  
Mutation Rate ◽  
Fitness Landscape ◽  
Genetically Engineered ◽  
Mutation Rates ◽  
Nucleotide Polymorphisms ◽  
Beneficial Mutations ◽  
Beneficial Effects ◽  
Evolution Experiment

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. The net direction of selection on mutations rates depends on the fitness landscape, and a great deal of work has elucidated the fitness landscapes of mutations. However, tests of the effect of varying a mutation rate on evolution in a single organism in a single environment have been difficult. This has been studied using strains of antimutators and mutators, but these strains may differ in additional ways and typically do not allow for continuous variation of the mutation rate. To help investigate the effects of the mutation rate on evolution, we have genetically engineered a strain of Escherichia coli with a point mutation rate that can be smoothly varied over two orders of magnitude. We did this by engineering a strain with inducible control of the mismatch repair proteins MutH and MutL. We used this strain in an approximately 350 generation evolution experiment with controlled variation of the mutation rate. We confirmed the construct and the mutation rate were stable over this time. Sequencing evolved strains revealed a higher number of single nucleotide polymorphisms at higher mutations rates, likely due to either the beneficial effects of these mutations or their linkage to beneficial mutations.

scholarly journals Effect of Repeat Copy Number on Variable-Number Tandem Repeat Mutations in Escherichia coli O157:H7

2006 ◽  
Vol 188 (12) ◽  
pp. 4253-4263 ◽  
Author(s):  
Amy J. Vogler ◽  
Christine Keys ◽  
Yoshimi Nemoto ◽  
Rebecca E. Colman ◽  
Zack Jay ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Mismatch Repair ◽  
Mutation Rate ◽  
Tandem Repeat ◽  
Copy Number ◽  
Variable Number Tandem Repeat ◽  
Variable Number ◽  
Mutation Rates ◽  
Repeat Copy Number ◽  
Repeat Copy

ABSTRACT Variable-number tandem repeat (VNTR) loci have shown a remarkable ability to discriminate among isolates of the recently emerged clonal pathogen Escherichia coli O157:H7, making them a very useful molecular epidemiological tool. However, little is known about the rates at which these sequences mutate, the factors that affect mutation rates, or the mechanisms by which mutations occur at these loci. Here, we measure mutation rates for 28 VNTR loci and investigate the effects of repeat copy number and mismatch repair on mutation rate using in vitro-generated populations for 10 E. coli O157:H7 strains. We find single-locus rates as high as 7.0 × 10−4 mutations/generation and a combined 28-locus rate of 6.4 × 10−4 mutations/generation. We observed single- and multirepeat mutations that were consistent with a slipped-strand mispairing mutation model, as well as a smaller number of large repeat copy number mutations that were consistent with recombination-mediated events. Repeat copy number within an array was strongly correlated with mutation rate both at the most mutable locus, O157-10 (r 2 = 0.565, P = 0.0196), and across all mutating loci. The combined locus model was significant whether locus O157-10 was included (r 2 = 0.833, P < 0.0001) or excluded (r 2 = 0.452, P < 0.0001) from the analysis. Deficient mismatch repair did not affect mutation rate at any of the 28 VNTRs with repeat unit sizes of >5 bp, although a poly(G) homomeric tract was destabilized in the mutS strain. Finally, we describe a general model for VNTR mutations that encompasses insertions and deletions, single- and multiple-repeat mutations, and their relative frequencies based upon our empirical mutation rate data.

scholarly journals Joint inference of demography and mutation rates from polymorphism data and pedigrees

2016 ◽  
Author(s):  
Florence Parat ◽  
Sándor Miklós Szilágyi ◽  
Daniel Wegmann ◽  
Aurélien Tellier
Keyword(s):  
Mutation Rate ◽  
Overlapping Generations ◽  
Genetic Data ◽  
Mutation Rates ◽  
Pedigree Information ◽  
Pedigree Data ◽  
Computationally Efficient ◽  
Effective Population ◽  
Joint Inference ◽  
Major Interest

ABSTRACTInference of demography and mutation rates is of major interest but difficult because genetic data is only informative about the population mutation rate, the product of the effective population size times the mutation rate, and not about these quantities individually. Here we show that this limitation can be overcome by combining genetic data with pedigree information. To successfully use pedigree data, however, important aspects of real populations such as the presence of two sexes, unbalanced sex ratios and overlapping generations have to be taken into account. We present here an extension of the classic Wright-Fisher model accounting for these effects and show that the coalescent process under this model reduces to the classic Kingman coalescent with specific scaling parameters. We further derive the probability of a pedigree under that model and show how pedigree data can thus be used to infer demographic parameters. Finally, we present a computationally efficient inference approach combining pedigree information and genetic data summarized by the site frequency spectrum (SFS) that allows for the joint inference of the mutation rate, sex-specific population sizes and the fraction of overlapping generations. Using simulations we then show that these parameters can be accurately inferred from pedigrees spanning just a few generations, as are available for many species. We finally discuss future possible extensions of the model and inference framework necessary for applications to wild and domesticated species, namely the account for more complex demographies and the uncertainty in assigning pedigree individuals to specific generations.

scholarly journals THE GENETIC STRUCTURE OF NATURAL POPULATIONS OF DROSOPHILA MELANOGASTER. XVIII. CLINAL AND UNIFORM GENETIC VARIATION OVER POPULATIONS

Genetics ◽  
1984 ◽  
Vol 108 (3) ◽  
pp. 617-632
Author(s):  
Shinichi Kusakabe ◽  
Terumi Mukai
Keyword(s):  
Genetic Variation ◽  
Population Size ◽  
Mutation Rate ◽  
Genetic Variance ◽  
Balancing Selection ◽  
Additive Genetic Variance ◽  
Southern Population ◽  
Effective Population ◽  
Northern Population ◽  
The Difference

ABSTRACT It has been reported in the previous papers of this series that in the eastern United States and Japan there is a north-to-south cline of additive genetic variance of viability and that the amount of the additive genetic variance in the northern population can be explained by mutation-selection balance. To determine whether or not the difference in the genetic variation in northern and southern populations can be explained by the differences in mutation rate and/or effective population size, numerical calculations were made using population genetic parameters. In addition, the average heterozygosities of the northern and southern populations at ten of 19 polymorphic structural loci surveyed were estimated in relation to the cline of additive genetic variance of viability, and the following findings were obtained. (1) The changes in mutation rate and population size cannot simultaneously explain the difference in additive genetic variance and inbreeding decline between the northern and southern populations. Thus, the operation of some kind of balancing selection, most likely diversifying selection, was suggested to explain the observed excess of additive genetic variance. (2) Estimates of the average heterozygosities of the southern population were not significantly different from those of the northern population. Thus, it was strongly suggested that the excess of additive genetic variance in the southern population cannot be caused by structural loci, but by factors outside the structural loci, and that protein polymorphisms are selectively neutral or nearly neutral.

scholarly journals Sign of selection on mutation rate modifiers depends on population size

2018 ◽  
Vol 115 (13) ◽  
pp. 3422-3427 ◽  
Author(s):  
Yevgeniy Raynes ◽  
C. Scott Wylie ◽  
Paul D. Sniegowski ◽  
Daniel M. Weinreich
Keyword(s):  
Population Size ◽  
Mutation Rate ◽  
Genetic System ◽  
Indirect Selection ◽  
Mutation Rates ◽  
Deleterious Mutations ◽  
Fitness Effects ◽  
Sign Inversion ◽  
Large Populations ◽  
The Cost

The influence of population size (N) on natural selection acting on alleles that affect fitness has been understood for almost a century. AsNdeclines, genetic drift overwhelms selection and alleles with direct fitness effects are rendered neutral. Often, however, alleles experience so-called indirect selection, meaning they affect not the fitness of an individual but the fitness distribution of its offspring. Some of the best-studied examples of indirect selection include alleles that modify aspects of the genetic system such as recombination and mutation rates. Here, we use analytics, simulations, and experimental populations ofSaccharomyces cerevisiaeto examine the influence ofNon indirect selection acting on alleles that increase the genomic mutation rate (mutators). Mutators experience indirect selection via genomic associations with beneficial and deleterious mutations they generate. We show that, asNdeclines, indirect selection driven by linked beneficial mutations is overpowered by drift before drift can neutralize the cost of the deleterious load. As a result, mutators transition from being favored by indirect selection in large populations to being disfavored asNdeclines. This surprising phenomenon of sign inversion in selective effect demonstrates that indirect selection on mutators exhibits a profound and qualitatively distinct dependence onN.

scholarly journals The Effect of Overdominance on Characterizing Deleterious Mutations in Large Natural Populations

Genetics ◽  
1999 ◽  
Vol 151 (2) ◽  
pp. 895-913 ◽  
Author(s):  
Jin-Long Li ◽  
Jian Li ◽  
Hong-Wen Deng
Keyword(s):  
Genetic Variation ◽  
Mutation Rate ◽  
Deleterious Mutation ◽  
Natural Populations ◽  
Mutation Accumulation ◽  
Statistical Properties ◽  
Alternative Methods ◽  
Deleterious Mutations ◽  
Selection Coefficient ◽  
New Approaches

Abstract Alternatives to the mutation-accumulation approach have been developed to characterize deleterious genomic mutations. However, they all depend on the assumption that the standing genetic variation in natural populations is solely due to mutation-selection (M-S) balance and therefore that overdominance does not contribute to heterosis. Despite tremendous efforts, the extent to which this assumption is valid is unknown. With different degrees of violation of the M-S balance assumption in large equilibrium populations, we investigated the statistical properties and the robustness of these alternative methods in the presence of overdominance. We found that for dominant mutations, estimates for U (genomic mutation rate) will be biased upward and those for h̄ (mean dominance coefficient) and s̄ (mean selection coefficient), biased downward when additional overdominant mutations are present. However, the degree of bias is generally moderate and depends largely on the magnitude of the contribution of overdominant mutations to heterosis or genetic variation. This renders the estimates of U and s̄ not always biased under variable mutation effects that, when working alone, cause U and s̄ to be underestimated. The contributions to heterosis and genetic variation from overdominant mutations are monotonic but not linearly proportional to each other. Our results not only provide a basis for the correct inference of deleterious mutation parameters from natural populations, but also alleviate the biggest concern in applying the new approaches, thus paving the way for reliably estimating properties of deleterious mutations.

scholarly journals Varying Patterns of Mutation: Measuring the Universality of Regional Mutation Rates

Elements ◽  
2008 ◽  
Vol 4 (1) ◽  
Author(s):  
Aleah Fox
Keyword(s):  
Genetic Variation ◽  
Mutation Rates ◽  
Rate Distribution ◽  
Coding Regions ◽  
Uniform Rate ◽  
Sexual Recombination ◽  
Ultimate Source

Mutations are the ultimate source of genetic variation in DNA. The patterns of mutation, however, can vary both within and across genomes. It has previously been shown that several mammals have heterogeneous mutation rates, while four yeasts have been observed to have uniform rates. The generality of these observations has not been known. Here we examine silen tsite substitutions in coding regions of 20 mammals, 27 yeast, and 4 insects, to determine which genomes demonstrate this mosaic rate distribution and which are uniform. Our findings show that mutational heterogeneity occurs in all branches of the mammalian phylogeny, as well as in flies and mosquitoes. All yeasts have a uniform rate across their genomes with the exception of three <em>candida</em> species: <em>c. albicans</em>, <em>c. dubliniensis</em>, and <em>c. tropicalis</em>. We hypothesize that this is due to the lack of sexual recombination in these species, leading to the regional accumulation of mutations.

scholarly journals Effects of mutation on selection limits in finite populations with multiple alleles.

Genetics ◽  
1989 ◽  
Vol 122 (4) ◽  
pp. 977-984
Author(s):  
Z B Zeng ◽  
H Tachida ◽  
C C Cockerham
Keyword(s):  
Mutation Rate ◽  
Present Model ◽  
Substantial Effect ◽  
Mutation Rates ◽  
Additive Effects ◽  
Selection Coefficient ◽  
Effective Population ◽  
Weak Selection ◽  
Multiple Alleles ◽  
Selection Limit

Abstract The ultimate response to directional selection (i.e., the selection limit) under recurrent mutation is analyzed by a diffusion approximation for a population in which there are k possible alleles at a locus. The limit mainly depends on two scaled parameters S (= 4Ns sigma a) and theta (= 4Nu) and k, the number of alleles, where N is the effective population size, u is the mutation rate, s is the selection coefficient, and sigma 2a is the variance of allelic effects. When the selection pressure is weak (S less than or equal to 0.5), the limit is given approximately by 2S sigma a[1 - (1 + c2)/k]/(theta + 1) for additive effects of alleles, where c is the coefficient of variation of the mutation rates among alleles. For strong selection, other approximations are devised to analyze the limit in different parameter regions. The effect of mutation on selection limits largely relies on the potential of mutation to introduce new and better alleles into the population. This effect is, however, bounded under the present model. Unequal mutation rates among alleles tend to reduce the selection limit, and can have a substantial effect only for small numbers of alleles and weak selection. The selection limit decreases as the mutation rate increases.

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