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High mutation rate of a long microsatellite allele in Drosophila melanogaster provides evidence for allele-specific mutation rates.

Within recent years, microsatellite have become one of the most powerful genetic markers in biology. For several mammalian species, microsatellite mutation rates have been estimated on the order of 10(-3)-10(-5). A recent study, however, demonstrated mutation rates in Drosophila melanogaster of at least one order of magnitude lower than those in mammals. To further test this result, we examined mutation rates of different microsatellite loci using a larger sample size. We screened 24 microsatellite loci in 119 D. melanogaster lines maintained for approximately 250 generations and detected 9 microsatellite mutations. The average mutation rate of 6.3 x 10(-6) is identical to the mutation rate from a previous study. Most interestingly, all nine mutations occurred at the same allele of one locus (DROYANETSB). This hypermutable allele has 28 dinucleotide repeats and is among the longest microsatellite reported in D. melanogaster. The allele-specific mutation rate of 3.0 x 10(-4) per generation is within the range of mammalian mutation rates. Future microsatellite analyses will have to account for the dramatic differences in allele-specific mutation rates.

Alleles↗

The evolution of mutation rates: separating causes from consequences.

Natural selection can adjust the rate of mutation in a population by acting on allelic variation affecting processes of DNA replication and repair. Because mutation is the ultimate source of the genetic variation required for adaptation, it can be appealing to suppose that the genomic mutation rate is adjusted to a level that best promotes adaptation. Most mutations with phenotypic effects are harmful, however, and thus there is relentless selection within populations for lower genomic mutation rates. Selection on beneficial mutations can counter this effect by favoring alleles that raise the mutation rate, but the effect of beneficial mutations on the genomic mutation rate is extremely sensitive to recombination and is unlikely to be important in sexual populations. In contrast, high genomic mutation rates can evolve in asexual populations under the influence of beneficial mutations, but this phenomenon is probably of limited adaptive significance and represents, at best, a temporary reprieve from the continual selection pressure to reduce mutation. The physiological cost of reducing mutation below the low level observed in most populations may be the most important factor in setting the genomic mutation rate in sexual and asexual systems, regardless of the benefits of mutation in producing new adaptive variation. Maintenance of mutation rates higher than the minimum set by this "cost of fidelity" is likely only under special circumstances.

Animals↗

Consistent variation in amino-acid substitution rate, despite uniformity of mutation rate: protein evolution in mammals is not neutral.

Variation in mutation rate, attributed to differences in both generation time and in metabolic rate, has been invoked under the neutral theory of molecular evolution to account for differences in substitution rate among mammalian lineages. We show that substitution rates at fourfold-degenerate sites and at sites in noncoding regions do not vary between the primate and rodent lineages, implying mutation-rate uniformity. In contrast, the substitution rates at nondegenerate sites vary both within and between lineages. This difference in substitution-rate pattern between the two types of site is incompatible with neutral theory but may result from substitutions occurring by fixation of slightly deleterious mutations. Variation in the rate of protein evolution among mammalian lineages appears to be due more to differences in population fixation rates than to biochemical or physiological differences affecting mutation rates.

Animals↗

Mutation rates in humans. II. Sporadic mutation-specific rates and rate of detrimental human mutations inferred from hemophilia B.

We estimated the rates per base per generation of specific types of mutations, using our direct estimate of the overall mutation rate for hemophilia B and information on the mutations present in the United Kingdom's population as well as those reported year by year in the hemophilia B world database. These rates are as follows: transitions at CpG sites 9.7x10-8, other transitions 7.3x10-9, transversions at CpG sites 5.4x10-9, other transversions 6.9x10-9, and small deletions/insertions causing frameshifts 3.2x10-10. By taking into account the ratio of male to female mutation rates, the above figures were converted into rates appropriate for autosomal DNA-namely, 1.3x10-7, 9.9x10-9, 7.3x10-9, 9.4x10-9, 6.5x10-10, where the latter is the rate for all small deletion/insertion events. Mutation rates were also independently estimated from the sequence divergence observed in randomly chosen sequences from the human and chimpanzee X and Y chromosomes. These estimates were highly compatible with those obtained from hemophilia B and showed higher mutation rates in the male, but they showed no evidence for a significant excess of transitions at CpG sites in the spectrum of Y-sequence divergence relative to that of X-chromosome divergence. Our data suggest an overall mutation rate of 2.14x10-8 per base per generation, or 128 mutations per human zygote. Since the effective target for hemophilia B mutations is only 1.05% of the factor IX gene, the rate of detrimental mutations, per human zygote, suggested by the hemophilia data is approximately 1.3.

Animals↗

The effects of variable mutation rates across sites on the phylogenetic estimation of effective population size or mutation rate of DNA sequences.

Multiple hits at some sites of human mitochondrial DNA sequences suggest that the commonly assumed infinite-sites model can be violated. Under the neutral Wright-Fisher model without recombination and population subdivision, we investigated, by computer simulations, the effect of multiple hits on the estimation of the essential parameter theta = 4Nmu by FU's UPBLUE procedure. We found that with moderate mutation rate heterogeneity, UPBLUE performs very well in terms of unbiasness and efficiency. Under extreme mutation rate heterogeneity, if sample size is reasonably large (e.g., > 60), UPBLUE is still very satisfactory; otherwise we developed a new correction equation. Given knowledge of the degree of mutation rate heterogeneity, the performance of UPBLUE with the new correction equation was tested to be fairly satisfactory: there is almost no bias and the sampling variance is only slightly higher than the theoretical minimum variance. Thus, with an appropriate correction, UPBL.UE is relatively robust to the multiple hits. In genealogies reconstructed by UPGMA, we found that the total length of branches directly linked to the tips is underestimated, and those far away tend to be overestimated, while the total length of all branches is not biased.

Computer Simulation↗

Selection of a mutant of Escherichia coli which has high mutation rates.

A mutation which causes high mutation rates in all other loci tested was induced with nitrosoguanidine and was selected through the ability of the progeny of such mutant cells to mutate to streptomycin resistance at a higher rate than the wild-type cells. This mutation (mut-2) and the Treffers' mutation (mutT1) mapped at approximately the same position to the right of leu. Specificity studies showed that the two mutations differ in rates of mutation produced.

Crosses, Genetic↗

Estimation of spontaneous genome-wide mutation rate parameters: whither beneficial mutations?

Empirical estimates of genome-wide mutation rates and of the distribution of mutational effects are needed to illuminate various topics ranging from evolutionary biology to conservation. Methods for inferring genome-wide mutation parameters are presented, and results stemming from these studies are reviewed. It is argued that, although most if not all mutations detected in mutation accumulation experiments are deleterious, the question of the rate of favourable mutations (and their effects) is still a matter for debate.

Animals↗

The mutation rate of human immunodeficiency virus type 1 is influenced by the vpr gene.

A system has been designed to study the in vivo forward rate of mutation of human immunodeficiency virus type 1 (HIV-1) during one round of replication. A HIV-1 shuttle vector was used that contained the lacZ alpha peptide gene as a reporter for mutations. The forward mutation rate of HIV-1 was found to be 3 x 10(-5) mutations per target base pair per cycle, or about 20-fold lower than the error rates reported for purified HIV-1 reverse transcriptase with sense-strand RNA and DNA templates of the lacZ alpha peptide gene in a cell-free system. To test the hypothesis that the vpr gene product might, at least in part, account for the lower mutation rate observed in vivo, a HIV-1 vector was replicated to determine if the mutation rate was higher in the absence of the wild-type vpr gene product. A vpr- shuttle vector had an overall mutation rate as much as 4-fold higher than that of the parental vector. A shuttle vector with an amino acid substitution in Vpr that prevents efficient incorporation of Vpr into virus particles was found to have a mutation frequency similar to that of the vpr- vector, and was interpreted to indicate a requirement for Vpr incorporation into the virus particle in order to observe the influence of vpr on the mutation rate. Replication of a vpr- shuttle vector in the presence of a wild-type vpr expression plasmid led to a mutation frequency similar to that of the parental vector, suggesting that the vpr mutation could be complemented in trans. Immunoprecipitation analysis indicated that Vpr virion incorporation coincided with the influence of vpr on the mutation rate.

Animals↗

Inference of genome-wide mutation rates and distributions of mutation effects for fitness traits: a simulation study.

The properties and limitations of maximum likelihood (ML) inference of genome-wide mutation rates (U) and parameters of distributions of mutation effects are investigated. Mutation parameters are estimated from simulated experiments in which mutations randomly accumulate in inbred lines. ML produces more accurate estimates than the procedure of Bateman and Mukai and is more robust if the data do not conform to the model assumed. Unbiased ML estimates of the mutation effects distribution parameters can be obtained if a value for U can be assumed, but if U is estimated simultaneously with the distribution parameters, likelihood may increase monotonically as a function of U. If the distribution of mutation effects is leptokurtic, the number of mutation events per line is large, or if genotypic values are poorly estimated, only a lower limit for U, an upper limit for the mean mutation effect, and a lower limit for the kurtosis of the distribution can be given. It is argued that such lower (upper) limits are appropriate minima (maxima). Estimates of the mean mutational effect are unbiased but may convey little about the properties of the distribution if it is leptokurtic.

Animals↗

Mutation rates among RNA viruses.

The rate of spontaneous mutation is a key parameter in modeling the genetic structure and evolution of populations. The impact of the accumulated load of mutations and the consequences of increasing the mutation rate are important in assessing the genetic health of populations. Mutation frequencies are among the more directly measurable population parameters, although the information needed to convert them into mutation rates is often lacking. A previous analysis of mutation rates in RNA viruses (specifically in riboviruses rather than retroviruses) was constrained by the quality and quantity of available measurements and by the lack of a specific theoretical framework for converting mutation frequencies into mutation rates in this group of organisms. Here, we describe a simple relation between ribovirus mutation frequencies and mutation rates, apply it to the best (albeit far from satisfactory) available data, and observe a central value for the mutation rate per genome per replication of micro(g) approximately 0.76. (The rate per round of cell infection is twice this value or about 1.5.) This value is so large, and ribovirus genomes are so informationally dense, that even a modest increase extinguishes the population.

Humans↗

The mutation rate and the distribution of mutational effects of viability and fitness in Drosophila melanogaster.

The empirical distributions of the average viability and fitness of mutation accumulation lines of Drosophila melanogaster were analyzed using minimum distance estimation. Data come from two different experimental designs where mutations were allowed to accumulate: 1) in copies of chromosome II protected from natural selection and recombination (viability: Mukai et al., 1972; Ohnishi, 1977; fitness: Houle et al., 1992), 2) in inbred lines derived from the same isogenic stock (viability: Fernández & López-Fanjul, 1996; fitness: this paper). Information from all data sets converged, indicating that the mutational rates were small, about 1% for viability and 3% for fitness. For both traits, the rate of mutational decline appears to be smaller than suggested by previous studies (about one-fifth of the latter), the average mutational effect was neither severe nor very slight, ranging from -0.1 to -0.3, and the distribution of mutant effects was, at most, slightly leptokurtic. Therefore, the mutational load in natural populations is one to two orders of magnitude smaller than previously thought (as based upon analyses conditional to estimates of the mutational decline of viability or fitness that appear to be biased upward). Over 95% of the mutational variance of each trait was contributed by non-slightly deleterious mutations (absolute homozygous effect larger than 0.03 or 0.1, depending on the data set considered) occurring at a rate not higher than 0.025 per haploid genome and generation. Our data suggest that most deleterious mutations affecting fitness act mainly through a single component-trait.

Animals↗

Heterogeneity of the mutation rates of influenza A viruses: isolation of mutator mutants.

The rates of mutation to the mar (monoclonal antibody-resistant) genotype of individual influenza virus plaque isolates, obtained from a stock generated after two successive cloning steps, have been determined by the fluctuation test. When a random sample of 60 clones was analyzed, 7 contained a proportion of mar mutants significantly higher than the average, and among them, 2 showed a mutation rate two to three times higher than the average value obtained for the virus population when the hemagglutinin-specific monoclonal antibody 2G10 was used. In order to look for mutants with higher mutation rates, a systematic search was carried out with a nonmutagenized virus stock, and several clones with increased mutation rates were isolated. One of them (mut43) was characterized further and was shown to have a mutation rate three to four times higher than that of the virus population at the sites defined by two nonoverlapping, hemagglutinin-specific monoclonal antibodies as well as at the site defined by a neuraminidase-specific monoclonal antibody. These results indicate that the mutation rate of an influenza virus is a weighted average of the contributions of a heterogeneous population. The consequences of this fact for the adaptive evolution of influenza viruses are discussed.

Antibodies, Monoclonal↗

Mutation rates in mammalian genomes.

Knowledge of the rate of point mutation is of fundamental importance, because mutations are a vital source of genetic novelty and a significant cause of human diseases. Currently, mutation rate is thought to vary many fold among genes within a genome and among lineages in mammals. We have conducted a computational analysis of 5,669 genes (17,208 sequences) from species representing major groups of placental mammals to characterize the extent of mutation rate differences among genes in a genome and among diverse mammalian lineages. We find that mutation rate is approximately constant per year and largely similar among genes. Similarity of mutation rates among lineages with vastly different generation lengths and physiological attributes points to a much greater contribution of replication-independent mutational processes to the overall mutation rate. Our results suggest that the average mammalian genome mutation rate is 2.2 x 10(-9) per base pair per year, which provides further opportunities for estimating species and population divergence times by using molecular clocks.

Animals↗

Description and validation of a method for simultaneous estimation of effective population size and mutation rate from human population data.

A method is presented for utilizing population data on electrophoretic variants of proteins to estimate simultaneously the effective sizes (Ne values) of the populations in question and the rate of mutation resulting in electromorphs at the loci whose products were surveyed. The method is applied to data from 12 relatively unacculturated Amerindian tribes for whom census data and independent estimates of the number of different electrophoretic variants at 27 loci are available. Because of tribal demographic structure, Ne should be less than the current number of reproductive-aged adults. In fact, it is substantially greater for 7 tribes, most likely due to intertribal migration and a recent decrease in tribal size. Estimates of locus mutation rates for the 27 loci vary by more than a factor of 20, with an average of 1.1 x 10(-5) per locus per generation. This latter estimate is in satisfactory agreement with the results of other indirect approaches to the estimation of mutation rates in these tribes but about two times higher than the results of direct estimates based on these same loci in studies on civilized populations. This discrepancy could be due to the above-hypothesized migration and to decreases in tribal size.

Adult↗

Spontaneous mutation rates of tumorigenic and nontumorigenic Chinese hamster embryo fibroblast cell lines.

The genomic stability of a series of nontumorigenic, tumorigenic, and tumor-derived Chinese hamster embryo fibroblastic (CHEF) cell lines was compared by examining their rates of spontaneous mutation at the hypoxanthine-guanine phosphoribosyl transferase (hprt) locus, using thioguanine resistance for selection of mutants. The spontaneous mutation rates were 1.1 x 10(-6) mutations/cell/generation in the non-tumor-forming CHEF/18 cell line and 4.9 x 10(-6) in the tumorigenic CHEF/16 cells. Three tumorigenic and tumor-derived CHEF cell lines derived from CHEF/18 (J132 3-2 T3L, focus 2, focus 3) and two lines (16-2 Tuk 4 and 204 Bu50 Tuk 2) derived from CHEF/16 were chosen on the basis of their karyotypes, which demonstrated a considerable level of chromosomal rearrangement. Mutation rates of four of these five lines ranged from 1.2 x 10(-6) to 8.9 x 10(-6) mutations per cell per generation. Only the fifth line, 16-2 Tuk 4, showed a significantly elevated rate of mutation as compared with the nontumorigenic CHEF/18 cell line. Thus, we have found no simple correlation between spontaneous mutation rate and the malignant phenotype, and we conclude that mutation rate per se is not a sensitive index of malignancy. In addition, we have compared three methods of calculating mutation rate and find that they rank the cell lines in the same order, but each stresses a different aspect of the distribution and therefore produces different estimates of the mutation rate.

Animals↗

Evolutionarily stable mutation rates.

I investigate the hypothesis that mutation rates in natural populations are determined by a balance between: (1) selection against deleterious mutations favouring lower mutation rates, and (2) selection opposing further reduction of the mutation rate, resulting from the costs incurred by more stringent proof-reading and repair (for example, a reduction in the rate of DNA replication). The influence of advantageous mutations is assumed to be negligible. In a previous paper, I analysed the dynamics of a modifier of the mutation rate in a large sexual population, where (infinitesimally rare) deleterious alleles segregate at an infinite number of unlinked loci with symmetric multiplicative fitness effects. A simple condition was obtained for a modifier allele to increase in frequency. Remarkably, this condition does not depend on the allele frequencies at the modifier locus. Here, I show that (as a consequence), given any set of possible values of the mutation rate (any set of possible modifier alleles), there always exists a single globally stable value of the mutation rate. This is an unusually strong form of "evolutionary stability" for a sexual population. Less surprisingly the optimum mutation rate in an asexual population has similar stability properties. Furthermore, in the case of an asexual population, it is not necessary to make any special assumptions about the selection acting against deleterious mutations, except that a deterministic mutation-selection equilibrium exists. I present a simple method for identifying the evolutionarily stable value of the mutation rate, given the function alpha(U) relating the value of the mutation rate to the fitness cost of maintaining this rate. I also argue that if there is a highly conserved relationship between the rate of replication per base, and the rate of mutation per base, and if this relationship has the form of a power law, then the remarkable uniformity of the per genome mutation rate in DNA based microbes can be explained.

Animals↗