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PubMed2007

Direct estimation of per nucleotide and genomic deleterious mutation rates in Drosophila.

Spontaneous mutations are the source of genetic variation required for evolutionary change, and are therefore important for many aspects of evolutionary biology. For example, the divergence between taxa at neutrally evolving sites in the genome is proportional to the per nucleotide mutation rate, u (ref. 1), and this can be used to date speciation events by assuming a molecular clock. The overall rate of occurrence of deleterious mutations in the genome each generation (U) appears in theories of nucleotide divergence and polymorphism, the evolution of sex and recombination, and the evolutionary consequences of inbreeding. However, estimates of U based on changes in allozymes or DNA sequences and fitness traits are discordant. Here we directly estimate u in Drosophila melanogaster by scanning 20 million bases of DNA from three sets of mutation accumulation lines by using denaturing high-performance liquid chromatography. From 37 mutation events that we detected, we obtained a mean estimate for u of 8.4 x 10(-9) per generation. Moreover, we detected significant heterogeneity in u among the three mutation-accumulation-line genotypes. By multiplying u by an estimate of the fraction of mutations that are deleterious in natural populations of Drosophila, we estimate that U is 1.2 per diploid genome. This high rate suggests that selection against deleterious mutations may have a key role in explaining patterns of genetic variation in the genome, and help to maintain recombination and sexual reproduction.

Animals↗

PubMed2005

The evolution of mutation rate in finite asexual populations.

In this article, we model analytically the evolution of mutation rate in asexual organisms. Three selective forces are present. First, everything else being equal, individuals with higher mutation rate have a larger fitness, thanks to the energy and time saved by not replicating DNA accurately. Second, as a flip side, the genome of these individuals is replicated with errors that may negatively affect fitness. Third, and conversely, replication errors have a potential benefit if beneficial mutations are to be generated. Our model describes the fate of modifiers of mutation rate under the three forces and allows us to predict the long-term evolutionary trajectory of mutation rate. We obtain three major results. First, in asexuals, the needs for both adaptation and genome preservation are not evolutionary forces that can stabilize mutation rate at an intermediate optimum. When adaptation has a significant role, it primarily destabilizes mutation rate and yields the emergence of strong-effect mutators. Second, in contrast to what is usually believed, the appearance of modifiers with large mutation rate is more likely when the fitness cost of each deleterious mutation is weak, because the cost of replication errors is then paid after a delay. Third, in small populations, and even if adaptations are needed, mutation rate is always blocked at the minimum attainable level, because the rate of adaptation is too slow to play a significant role. Only populations whose size is above a critical mass see their mutation rate affected by the need for adaptation.

Adaptation, Physiological↗

PubMed1996

A new method for estimating high mutation rates in cultured cells.

Fluctuation analysis allows for the determination of mutation rates in cell cultures in vitro. As originally described by Luria and Delbruck and extended by Lea and Coulson and by Capizzi and Jameson, this analysis has been useful in estimating mutation rates in cultured cells where the frequency of mutational events is low. However. in cultures where high mutation rates and multiple independent mutation events occur, leading to the accumulation of many mutant cells, these standard methods may not apply. Here, we present a new method for the estimation of mutation rates based on the assumption that multiple events may contribute to the accumulation of mutant cells. We compared mutation rates determined by Lea and Coulson's and by Capizzi and Jameson's methods with those determined by our method using experimental and stimulated data from our studies of immunoglobulin gene mutation and isotype switching in B lymphocyte cultures. The three methods resulted in very different calculated rates when many mutants were present in the culture, such as when mutation rates were high, while only small differences in calculated rates were found when mutants were rare. Unlike previous fluctuation analysis calculations, our method is applicable for the estimation of both low and high rates.

Animals↗

PubMed2006

Fossil calibration of molecular divergence infers a moderate mutation rate and recent radiations for pinus.

Silent mutation rate estimates for Pinus vary 50-fold, ranging from angiosperm-like to among the slowest reported for plants. These differences either reflect extraordinary genomic processes or inconsistent fossil calibration, and they have important consequences for population and biogeographical inferences. Here we estimate mutation rates from 4 Pinus species that represent the major lineages using 11 nuclear and 4 chloroplast loci. Calibration was tested at the divergence of Pinus subgenera with the oldest leaf fossil from subg. Strobus (Eocene; 45 MYA) or a recently published subg. Strobus wood fossil (Cretaceous; 85 MYA). These calibrations place the origin of Pinus 190-102 MYA and give absolute silent rate estimates of 0.70-1.31x10(-9) and 0.22-0.42x10(-9).site-1.year-1 for the nuclear and chloroplast genomes, respectively. These rates are approximately 4- to 20-fold slower than angiosperms, but unlike many previous estimates, they are more consistent with the high per-generation deleterious mutation rates observed in pines. Chronograms from nuclear and chloroplast genomes show that the divergence of subgenera accounts for about half of the time since Pinus diverged from Picea, with subsequent radiations occurring more recently. By extending the sampling to encompass the phylogenetic diversity of Pinus, we predict that most extant subsections diverged during the Miocene. Moreover, subsect. Australes, Ponderosae, and Contortae, containing over 50 extant species, radiated within a 5 Myr time span starting as recently as 18 MYA. An Eocene divergence of pine subgenera (using leaf fossils) does not conflict with fossil-based estimates of the Pinus-Picea split, but a Cretaceous divergence using wood fossils accommodates Oligocene fossils that may represent modern subsections. Because homoplasy and polarity of character states have not been tested for fossil pine assignments, the choice of fossil and calibration node represents a significant source of uncertainty. Based on several lines of evidence (including agreement with ages inferred using calibrations outside of Pinus), we conclude that the 85 MYA calibration at the divergence of pine subgenera provides a reasonable lower bound and that further refinements in age and mutation rate estimates will require a synthetic examination of pine fossil history.

Chloroplasts↗

PubMed2003

Genic mutation rates in mammals: local similarity, chromosomal heterogeneity, and X-versus-autosome disparity.

The reduction of mutation rates on the mammalian X chromosome relative to autosomes is most often explained in the literature as evidence of male-driven evolution. This hypothesis attributes lowered mutation rates on the X chromosome to the fact that this chromosome spends less time in the germline of males than in the germline of females. In contrast to this majority view, two articles argued that the patterns of mutation rates across chromosomes are inconsistent with male-driven evolution. One article reported a 40% reduction in synonymous substitution rates (Ks) for X-linked genes relative to autosomes in the mouse-rat lineage. The authors argued that this reduction is too dramatic to be explained by male-driven evolution and concluded that selection has systematically reduced mutation rate on the X chromosome to a level optimal for this male-hemizygous chromosome. More recently, a second article found that chromosomal mutation rates in both the human-mouse and mouse-rat lineages were so heterogeneous that the X chromosome was not an outlier. Here again, the authors argued that this is at odds with male-driven evolution and suggested that selection has modulated chromosomal mutation rates to locally optimal levels, thus extending the argument of the first mentioned article to include autosomes. Here, we reexamine these conclusions using mouse-rat and human-mouse coding-region data. We find a more modest reduction of Ks on the X chromosome, but our results contradict the finding that the X chromosome is not distinct from autosomes. Multiple statistical tests show that Ks rates on the X chromosome differ systematically from the autosomes in both lineages. We conclude that the moderate reduction of mutation rate on the X chromosome of both lineages is consistent with male-driven evolution; however, the large variance in mutation rates across chromosomes suggests that mutation rates are affected by additional factors besides male-driven evolution. Investigation of mutation rates by synteny reveals that synteny blocks, rather than entire chromosomes, might represent the unit of mutation rate variation.

Animals↗

PubMedDate not supplied

Estimation of the mutation rate during error-prone polymerase chain reaction.

Error-prone polymerase chain reaction (PCR) is widely used to introduce point mutations during in vitro evolution experiments. Accurate estimation of the mutation rate during error-prone PCR is important in studying the diversity of error-prone PCR product. Although many methods for estimating the mutation rate during PCR are available, all the existing methods depend on the assumption that the mutation rate is low and mutations occur at different places whenever they occur. The available methods may not be applicable to estimate the mutation rate during error-prone PCR. We develop a mathematical model for error-prone PCR and present methods to estimate the mutation rate during error-prone PCR without assuming low mutation rate. We also develop a computer program to simulate error-prone PCR. Using the program, we compare the newly developed methods with two other methods. We show that when the mutation rate is relatively low (< 10(-3) per base per PCR cycle), the newly developed methods give roughly the same results as previous methods. When the mutation rate is relatively high (> 5 x 10(-3) per base per PCR cycle, the mutation rate for most error-prone PCR experiments), the previous methods underestimate the mutation rate and the newly developed methods approximate the true mutation rate.

Biometry↗

PubMed2003

Sexual selection, germline mutation rate and sperm competition.

BACKGROUND: An important component of sexual selection arises because females obtain viability benefits for their offspring from their mate choice. Females choosing extra-pair fertilization generally favor males with exaggerated secondary sexual characters, and extra-pair paternity increases the variance in male reproductive success. Furthermore, females are assumed to benefit from 'good genes' from extra-pair sires. How additive genetic variance in such viability genes is maintained despite strong directional selection remains an evolutionary enigma. We propose that sexual selection is associated with elevated mutation rates, changing the balance between mutation and selection, thereby increasing variance in fitness and hence the benefits to be obtained from good genes sexual selection. Two hypotheses may account for such elevated mutation: (1) Increased sperm production associated with sperm competition may increase mutation rate. (2) Mutator alleles increase mutation rates that are revealed by the expression of condition-dependent secondary sexual characters used by choosy females during their mate choice. M Petrie has independently developed the idea that mutator alleles may account for the maintenance of genetic variation in viability despite strong directional selection. RESULTS: A comparative study of birds revealed a positive correlation between mutation rate at minisatellite loci and extra-pair paternity, but not between mutation rate and relative testes mass which is a measure of relative sperm production. Minisatellite mutation rates were not related to longevity, suggesting a meiotic rather than a mitotic origin of mutations. CONCLUSION: We found evidence of increased mutation rate in species with more intense sexual selection. Increased mutation was not associated with increased sperm production, and we suggest that species with intense sexual selection may maintain elevated mutation rates because sexual selection continuously benefits viability alleles expressed in condition-dependent characters. Sexual selection may increase mutational input, which in turn feeds back on sexual selection because of increased variance in viability traits.

Animals↗

PubMed2005

The influence of premeiotic clusters of mutation on indirect estimations of mutation rate.

Based on the hypothesis that rare alleles are in mutation and random loss equilibrium, mutation rate can be indirectly estimated by measuring the number of rare variants and the average existing time of a mutant allele. This method can be applied to estimate the mutation rate in humans. However, this estimation of mutation rate is affected by the presence of premeiotic clusters of mutation. Mutation clusters change both the number of initial mutants and the average existing time of a mutant allele. As a result, the formula indirectly estimating mutation rate should be modified. The influence of premeiotic clusters is more obvious when the population size is small or the average cluster size is big. For example, if the population size is 3,000 and average cluster size is two, instead of one, the mutation rate is increased by about 9.4%.

Alleles↗

PubMed1987

Adaptation of Drosophila melanogaster populations to high mutation pressure: evolutionary adjustment of mutation rates.

Evolutionary aspects of high mutation pressure were studied in laboratory populations of Drosophila melanogaster that have irradiation histories up to 600 generations. Dose-response regressions for the x-ray induction of various types of mutation were obtained from six of these populations. The sensitivity of these irradiated populations relative to an unirradiated control population was characterized by dose reduction factors. Sensitivity decreased stepwise with the stepwise increase in irradiation levels to which the populations had been exposed every generation (0 R, 2 kR, 4 kR, 8 kR; 1 R = 0.258 mC/kg) but remained the same over hundreds of generations when the irradiation levels were constant. Resistance is controlled by single genetic factors. Additional factors evolved in subpopulations exposed to increased irradiation levels, and different factors evolved in populations that were kept separate from the beginning of their irradiation histories. Two of three factors persisted in subpopulations no longer irradiated, but one factor disappeared; this last one behaved like a transposon. Factors of relative radio-resistance are stage specific (immature oocytes) and some of them are assumed to modify or control mutation-rate genes. The resistance factors enable populations to achieve an equilibrium between the amounts of environmental mutagens and intrinsic mutation rates.

Adaptation, Physiological↗

PubMed2000

Determining mutation rates in bacterial populations.

When properly determined, spontaneous mutation rates are a more accurate and biologically meaningful reflection of underlying mutagenic mechanisms than are mutant frequencies. Because bacteria grow exponentially and mutations arise stochastically, methods to estimate mutation rates depend on theoretical models that describe the distribution of mutant numbers among parallel cultures, as in the original Luria-Delbr]uck fluctuation analysis. An accurate determination of mutation rate depends on understanding the strengths and limitations of these methods, and how to design fluctuation assays to optimize a given method. In this paper we describe a number of methods to estimate mutation rates, give brief accounts of their derivations, and discuss how they behave under various experimental conditions.

Bacteria↗

PubMed2002

Mutation at minisatellite locus DYF155S1: allele length mutation rate is affected by age of progenitor.

A father/son material consisting of 1071 pairs was screened for de novo allele length mutation in locus DYF155S1. Six hundred of these pairs were also analyzed in locus DYF155S1 to detect de novo mutations in the minisatellite variant repeat (MVR)-code not resulting in a length change ("boundary switch" mutations). A modified MVR-polymerase chain reaction (PCR) method was used for this purpose. Twenty-seven de novo allele length mutations and eight "boundary switch" mutations were detected indicating mutation frequencies of approximately 2.5% and 1.3%, respectively. The combined mutation rate for MVR-code mutation is approximately 3.8%. There is a significant increase in mutation rate with paternal age (p = 0.049) in allele length mutations. In the present material, the mutation rate in the oldest age group is three times that of the youngest age group. A similar age relationship is not observed in "boundary switch" mutations. A comparison between progenitors and the other fathers in the material revealed no obvious association between mutation rate and allele length or modular structure (variation in repeat sequence). More than 75% of the length mutations involved the gain or loss of one repeat only. This finding as well as the observed paternal age influence on mutation rate, suggests replication slippage to be the major mutation mechanism in length mutations. However, in one particular case, an allele length mutant revealed rearrangements with direct duplication of repeats at distant sites within the repeat array, and with both loss and gain of repeats. Such complex structural changes could indicate that some of the mutants might arise from sister chromatide exchange. The mutation rate of "boundary switch" mutations is by far higher than would be expected if these mutations are two independent one-step allele length mutations. A different age distribution of "boundary switch" mutations than of allele length mutations also argue against such a hypothesis. Together this could indicate that "boundary switches" are products of another mutation mechanism than the one-step allele length mutations.

Adult↗

PubMed1999

Beneficial mutations, hitchhiking and the evolution of mutation rates in sexual populations.

Natural selection acts in three ways on heritable variation for mutation rates. A modifier allele that increases the mutation rate is (i) disfavored due to association with deleterious mutations, but is also favored due to (ii) association with beneficial mutations and (iii) the reduced costs of lower fidelity replication. When a unique beneficial mutation arises and sweeps to fixation, genetic hitchhiking may cause a substantial change in the frequency of a modifier of mutation rate. In previous studies of the evolution of mutation rates in sexual populations, this effect has been underestimated. This article models the long-term effect of a series of such hitchhiking events and determines the resulting strength of indirect selection on the modifier. This is compared to the indirect selection due to deleterious mutations, when both types of mutations are randomly scattered over a given genetic map. Relative to an asexual population, increased levels of recombination reduce the effects of beneficial mutations more rapidly than those of deleterious mutations. However, the role of beneficial mutations in determining the evolutionarily stable mutation rate may still be significant if the function describing the cost of high-fidelity replication has a shallow gradient.

Alleles↗

PubMed1994

How variable is a spontaneous mutation rate in cultured mammalian cells?

The Luria-Delbrück fluctuation analysis provides a method to estimate mutation rates and is commonly applied in somatic cell genetics and in cancer biology. We developed an assay for a Luria-Delbrück fluctuation analysis using the mouse lymphoma cell line, GRSL13. As these cells grow in suspension, one can handle hundreds of parallel cultures using multiwell dishes and dispensers. This assay thereby allows not only an accurate determination of the mutation rate per cell generation but also makes it possible to determine at which time after seeding mutations take place. Using approx. 8000 parallel cultures it has been possible to test whether the mutation rate is constant during the assay. It has been found that the spontaneous mutation rate of GRSL13 cells decreases in the course of a fluctuation test from 2 x 10(-6) to about 2 x 10(-7)/cell/generation. It was shown that this increased replication fidelity may partly be caused by cell density: maintenance of cells at high cell density resulted in a spontaneous mutation rate of 0.7 +/- 4.0 x 10(-7) compared to 4.0 +/- 3.1 x 10(-7) for the standard protocol. In contrast, growing the cells at extremely low cell density resulted in an enhanced mutation rate of 7.7 +/- 1.3 x 10(-7). Thus altogether the mutation rate can vary from 2 x 10(-6) to 0.7 x 10(-7) (approx. 30-fold). These results show that the spontaneous mutation rate is not constant, but highly dependent on experimental conditions. As incomplete expression and metabolic cooperation cannot explain the findings, the data suggest that the fidelity of DNA replication is not fixed but open to variation. Hence, determination of replication infidelity in cultured cells needs rigorous standardization or/and application of controlled variation in culture conditions.

Animals↗

PubMed2003

[Impact of mutation rate on the adaptation of gut bacteria].

To study the role of mutator bacteria in the evolution of bacterial populations, we followed the impact of the mutation rate of Escherichia coli strains in the colonisation of the gut of axenic mice and the evolution of the mutation rate of bacterial populations living in the gut. We show that mutator bacteria have an advantage during the colonization. This adaptive advantage comes from their ability to generate adaptive mutations faster than wild type strains, mutations that allow their maintenance in the ecosystem. However, while mutator bacteria are becoming specialised to the environment they are living in, they accumulate mutations that may be deleterious or lethal in secondary environments. By following the evolution of the mutation rate of bacterial populations living in the gut of mice receiving antibiotics, we show that this therapy selects not only for antibiotic resistant mutants but also for mutator alleles that enhance mutation rates and are responsible for the appearance of the resistance. The costs of a high mutation rate, due to the accumulation of mutations, is seen in environments where changes are recurrent. In an ever-changing situation where every change is new, mutator bacteria might help the evolution of bacterial populations.

Adaptation, Physiological↗

PubMed1992

5-Azacytidine and RNA secondary structure increase the retrovirus mutation rate.

A broad spectrum of mutations occurs at a high rate during a single round of retrovirus replication (V.K. Pathak and H. M. Temin, Proc. Natl. Acad. Sci. USA 87:6019-6023, 1990). We have now determined that this high rate of spontaneous mutation can be further increased by 5-azacytidine (AZC) treatment or by regions of potential RNA secondary structure. We found a 13-fold increase in the mutation rate after AZC treatment of retrovirus-producing cells and target cells. The AZC-induced substitutions were located at the same target sites as previously identified spontaneous substitutions. The concordance of the AZC-induced and spontaneous substitutions indicates the presence of reverse transcription "pause sites," where the growing point is error prone. An analysis of nucleotides that neighbored substitutions revealed that transversions occur primarily by transient template misalignment, whereas transitions occur primarily by misincorporation. We also introduced a 34-bp potential stem-loop structure as an in-frame insertion within a lacZ alpha gene that was inserted in the long terminal repeat (LTR) U3 region and determined whether this potential secondary structure increased the rate of retrovirus mutations. We found a threefold increase in the retrovirus mutation rate. Fifty-seven of 96 mutations were deletions associated with the potential stem-loop. We also determined that these deletion mutations occurred primarily during minus-strand DNA synthesis by comparing the frequencies of mutations in recovered provirus plasmids containing both LTRs and in provirus plasmids containing only one LTR.

Animals↗

PubMed1981

Mutation rates of structural chromosome rearrangements in man.

The gametic mutation rates of human structural chromosome rearrangements have been estimated from rearrangements ascertained from systematic surveys of live births and spontaneous abortions. The mutation rates for rearrangements that survive long enough to give rise to clinically recognized pregnancies are 2.20 X 10(-4) for balanced rearrangements, 3.54 X 10(-4) for unbalanced Robertsonian translocations, and 3.42 X 10(-4) for unbalanced non-Robertsonian rearrangements. These estimates give a mutation rate for all detectable structural chromosome rearrangements of approximately 1 X 10(-3). The most common single rearrangement, the Robertsonian translocation involving chromosomes 13 and 14, has a mutation rate of 1.5 X 10(-4).

Abortion, Spontaneous↗

PubMed2005

On the mutation rate of herpes simplex virus type 1.

All seven DNA-based microbes for which carefully established mutation rates and mutational spectra were previously available displayed a genomic mutation rate in the neighborhood of 0.003 per chromosome replication. The pathogenic mammalian DNA virus herpes simplex type 1 has an estimated genomic mutation rate compatible with that value.

Animals↗

PubMed2000

Determinants of substitution rates in mammalian genes: expression pattern affects selection intensity but not mutation rate.

To determine whether gene expression patterns affect mutation rates and/or selection intensity in mammalian genes, we studied the relationships between substitution rates and tissue distribution of gene expression. For this purpose, we analyzed 2,400 human/rodent and 834 mouse/rat orthologous genes, and we measured (using expressed sequence tag data) their expression patterns in 19 tissues from three development states. We show that substitution rates at nonsynonymous sites are strongly negatively correlated with tissue distribution breadth: almost threefold lower in ubiquitous than in tissue-specific genes. Nonsynonymous substitution rates also vary considerably according to the tissues: the average rate is twofold lower in brain-, muscle-, retina- and neuron-specific genes than in lymphocyte-, lung-, and liver-specific genes. Interestingly, 5' and 3' untranslated regions (UTRs) show exactly the same trend. These results demonstrate that the expression pattern is an essential factor in determining the selective pressure on functional sites in both coding and noncoding regions. Conversely, silent substitution rates do not vary with expression pattern, even in ubiquitously expressed genes. This latter result thus suggests that synonymous codon usage is not constrained by selection in mammals. Furthermore, this result also indicates that there is no reduction of mutation rates in genes expressed in the germ line, contrary to what had been hypothesized based on the fact that transcribed DNA is more efficiently repaired than nontranscribed DNA.

Animals↗