Estimation of microsatellite mutation rates in Drosophila melanogaster

Microsatellite mutations were studied in a set of 175 mutation accumulation lines, all of them independently derived from a completely homozygous population of Drosophila melanogaster and maintained under strong inbreeding during 80 generations. We assayed 28 microsatellites and detected two mutations. One mutation consisted of a single addition of a dinucleotide repeat and the other was a deletion of five trinucleotide repeats. The average mutation rate was 5.1 x 10(-6), in full agreement with previous estimates from two different sets of mutation accumulation lines.     

Results of estimation of mutation rates for translocation trisomy 21

Among 1332 cases of trisomy 21 born within 1979-1999 in St. Petersburg, 76(5.7%) were carriers of a translocation between chromosome 21 and other acrocentrics. Among 43 Dq; 21q translocations, 17 were inherited from the mother, and one was inherited from the father, 16 were of sporadic occurrence, and in 9 cases the mode of inheritance was not established. Out of 31 cases displaying Gq;21 translocation, 23 were mutants and 8 of unknown origin. One case of non-Robertsonian translocation 21;22 was maternal in origin. It was assumed that the proportion of sporadic cases among translocations of unknown origin is the same as that among translocations of the known origin. However, it is conceivable that the parents of a child with a sporadic anomaly, previously having an uncomplicated reproductive history and healthy children, tend to avoid cytogenetic examination more often than the carriers of translocation. Hence, the reported proportion of de novo cases (-0.6) might be underestimated. The analysis of pregnancy outcomes in mothers of children with Down syndrome, who inherited translocation (n = 12), sporadic translocation (n = 12) and translocation of unknown origin (n = 8), supports this suggestion. Analysis of the data from 8 reports, where the origin of Dq;21 was specified, revealed that in those samples, where the origin was traced in almost all families, the proportion of de novo cases (0.75-0.82) was higher than in samples where an appreciable part of families was not examined (0.46-0.73). Therefore, with the aim of correct determination of mutation rate for Dq;21 translocation, the true proportions in D;21 cases merit evaluation. Meanwhile, using average estimation from all the above mentioned reports (0.67), the mutation rate for translocations Dq;21 in St. Petersburg was calculated to be 1.2 x 10(-5) and 0.8 x 10(-5) in 1980-1989 and 1990-1999, respectively. For Gq;21 translocations/isochromosomes, the corresponding figures were 1.6 x 10(-5) and 1.5 x 10(-5).     

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.      

Sex-specific mutation rates for x-linked disorders: estimation and application

Emerging human molecular data are adding to our knowledge about the frequency and pattern of genetic mutations. This not only gives important insight into the biological processes underlying mutation, but also provides data which must be incorporated in the clinical setting. An example is the assumption of equal mutation probability in the male and female germ lines. This is a key assumption in Bayesian risk calculation for families segregating an X-linked recessive disorder. For some disorders, data are now available that demonstrate that the mutation probability in males differs from that in females. In this paper, we review the estimation of the male-female mutation rate ratio, including the construction of confidence intervals, and apply sex-specific mutation rates to carrier risk calculation in a variety of pedigree structures. In several instances, the difference in risk is substantial.     

A statistical treatment of biases affecting the estimation of mutation rates

We consider the estimation of mutation rates, using family data obtained from disputed paternity cases. It is shown how to take appropriate account of a number of complicating features-in particular, hidden mutation, differential mutation, and uncertain paternity-which can necessitate large corrections to simple estimates.     

Update on estimation of mutation rates using data from fluctuation experiments

This note discusses a minor mathematical error and a problematic mathematical assumption in Luria and Delbrück's (1943) classic article on fluctuation analysis. In addition to suggesting remedial measures, the note provides information on the latest development of techniques for estimating mutation rates using data from fluctuation experiments.     

A stochastic model for estimation of mutation rates in multiple-replication proliferation processes

In this paper we propose a stochastic model based on the branching process for estimation and comparison of the mutation rates in proliferation processes of cells or microbes. We assume in this model that cells or microbes (the elements of a population) are reproduced by generations and thus the model is more suitably applicable to situations in which the new elements in a population are produced by older elements from the previous generation rather than by newly created elements from the same current generation. Cells and bacteria proliferate by binary replication, whereas the RNA viruses proliferate by multiple replication. The model is in terms of multiple replications, which includes the special case of binary replication. We propose statistical procedures for estimation and comparison of the mutation rates from data of multiple cultures with divergent culture sizes. The mutation rate is defined as the probability of mutation per replication per genome and thus can be assumed constant in the entire proliferation process. We derive the number of cultures for planning experiments to achieve desired accuracy for estimation or desired statistical power for comparing the mutation rates of two strains of microbes. We establish the efficiency of the proposed method by demonstrating how the estimation of mutation rates would be affected when the culture sizes were assumed similar but actually diverge.      

Evaluation of methods for the estimation of mutation rates in cultured mammalian cell populations

A systematic comparison of 5 different statistical methods for the estimation of mutation rate (mu) in cultured Chinese hamster V79 cells is presented. Fluctuation tests were performed with several large batches of parallel cell cultures each allowed to grow for a different length of time in order to reach different population size (Nt). Based on Lea and Coulson's theoretical distribution, a comparison has been made between the experimental data and the expected distribution of the number of ouabain-resistant mutants per culture in these hamster cell populations. The sum of squared deviation between the observed and expected values, or SSD, was used as a means of the adequacy of the estimation method; the method which gives the smallest SSD is regarded as the best one for the estimation of mu. Our results show that when Nt is small, the occurrence of mutation is infrequent, and SSDs from different methods are similar. However, when Nt is large, there is a great discrepancy of the SSD values, suggesting a preference of using the maximum likelihood method, the Po method, the median method, the upper quartile method and the mean method, in that order, for the estimation of mu. The order of preference is correlated with estimation efficiencies. Depending on the size of Nt and the method used, the estimated mu may vary up to more than 3-fold. At a large Nt, the mu obtained from the maximum likelihood method is very precise. This suggests the importance of choosing an appropriate Nt as well as method for the estimation of mu.     

Fast and accurate estimation of the population-scaled mutation rate, theta, from microsatellite genotype data

We present a new approach for estimation of the population-scaled mutation rate, , from microsatellite genotype data, using the recently introduced "product of approximate conditionals" framework. Comparisons with other methods on simulated data demonstrate that this new approach is attractive in terms of both accuracy and speed of computation. Our simulation experiments also demonstrate that, despite the theoretical advantages of full-likelihood-based methods, methods based on certain summary statistics (specifically, the sample homozygosity) can perform very competitively in practice.     

Experimental estimation of mutation rates in a wheat population with a gene genealogy approach

Microsatellite markers are extensively used to evaluate genetic diversity in natural or experimental evolving populations. Their high degree of polymorphism reflects their high mutation rates. Estimates of the mutation rates are therefore necessary when characterizing diversity in populations. As a complement to the classical experimental designs, we propose to use experimental populations, where the initial state is entirely known and some intermediate states have been thoroughly surveyed, thus providing a short timescale estimation together with a large number of cumulated meioses. In this article, we derived four original gene genealogy-based methods to assess mutation rates with limited bias due to relevant model assumptions incorporating the initial state, the number of new alleles, and the genetic effective population size. We studied the evolution of genetic diversity at 21 microsatellite markers, after 15 generations in an experimental wheat population. Compared to the parents, 23 new alleles were found in generation 15 at 9 of the 21 loci studied. We provide evidence that they arose by mutation. Corresponding estimates of the mutation rates ranged from 0 to 4.97 x 10(-3) per generation (i.e., year). Sequences of several alleles revealed that length polymorphism was only due to variation in the core of the microsatellite. Among different microsatellite characteristics, both the motif repeat number and an independent estimation of the Nei diversity were correlated with the novel diversity. Despite a reduced genetic effective size, global diversity at microsatellite markers increased in this population, suggesting that microsatellite diversity should be used with caution as an indicator in biodiversity conservation issues.     

Spontaneous chromosome rearrangements in the protozoan Giardia lamblia: estimation of mutation rates.

Subcloned lines of the WB strain of Giardia lamblia contain polymorphic ribosomal RNA (rRNA) encoding chromosomes (Le Blancq et al., Nucl. Acids Res. 1991, 19, 4405-4412). We show that in a continuously propagated culture of G.lamblia trophozoites the proportion of trophozoites with rearranged rRNA encoding chromosomes gradually increases, consistent with the high mutation rate of about 1% per cell per division cycle. This conclusion is based on the finding in one experiment that after about 8 division cycles 20% of the population consisted of independent mutants, while after approximately 100 division cycles 87.5% of the population were independent mutants. In a second experiment, approximately 38% and 71.5% of the trophozoites were independent mutants after approximately 9 and approximately 100 division cycles, respectively. The data show that the genome of the WB strain of G.lamblia has a highly recombinogenic phenotype. Extensive karyotype heterogeneity has also been observed among recently isolated G.lamblia strains obtained from a defined geographic area (Korman et al., J. Clin. Invest. 1992, 89, 1725-1733) suggesting that a high mutation rate might also occur in vivo.     

Maximum-likelihood estimation of site-specific mutation rates in human mitochondrial DNA from partial phylogenetic classification

The mitochondrial DNA hypervariable segment I (HVS-I) is widely used in studies of human evolutionary genetics, and therefore accurate estimates of mutation rates among nucleotide sites in this region are essential. We have developed a novel maximum-likelihood methodology for estimating site-specific mutation rates from partial phylogenetic information, such as haplogroup association. The resulting estimation problem is a generalized linear model, with a nonstandard link function. We develop inference and bias correction tools for our estimates and a hypothesis-testing approach for site independence. We demonstrate our methodology using 16,609 HVS-I samples from the Genographic Project. Our results suggest that mutation rates among nucleotide sites in HVS-I are highly variable. The 16,400–16,500 region exhibits significantly lower rates compared to other regions, suggesting potential functional constraints. Several loci identified in the literature as possible termination-associated sequences (TAS) do not yield statistically slower rates than the rest of HVS-I, casting doubt on their functional importance. Our tests do not reject the null hypothesis of independent mutation rates among nucleotide sites, supporting the use of site-independence assumption for analyzing HVS-I. Potential extensions of our methodology include its application to estimation of mutation rates in other genetic regions, like Y chromosome short tandem repeats.     

Misalignment-mediated DNA polymerase beta mutations: comparison of microsatellite and frame-shift error rates using a forward mutation assay

Mutations arising in microsatellite DNA are associated with neurological diseases and cancer. To elucidate the molecular basis of microsatellite mutation, we have determined the in vitro polymerase error frequencies at microsatellite sequences representative of those found in the human genome: [GT/CA](10), [TC/AG](11), and [TTCC/AAGG](9). DNA templates contained the microsatellites inserted in-frame into the 5' region of the herpes simplex virus thymidine kinase (HSV-tk) gene. Polymerase beta (polbeta) error frequencies were quantitated in microsatellite sequences, relative to frame-shift error frequencies in coding sequences, from the same DNA synthesis reaction. The polbeta error frequencies within the dinucleotide sequences were (2-9) x 10(-3), 14-72-fold higher than the ssDNA template frequencies. The polbeta error frequencies within the tetranucleotide sequences were (4-6) x 10(-3), a 4-13-fold increase over background. Strand biases were observed for the [TC/AG](11) and [TTCC/AAGG](9) alleles, in which more errors were produced when the purine strand served as a template. Mutations within each microsatellite included noncanonical base substitution events and single nucleotide deletions as well as the expected unit length changes. An exponential relationship was observed between the polymerase error frequency per site and both the number of repetitive units and total length of the allele. Our observations are consistent with the strand slippage model of microsatellite mutagenesis and demonstrate that DNA sequence and/or structural differences result in mutational strand biases. To our knowledge, this is the first direct quantitation of DNA polymerase errors in vitro using template microsatellite sequences.