scholarly journals Mutation accumulation and the effect of copia insertions in Drosophila melanogaster

2004 ◽  
Vol 83 (1) ◽  
pp. 7-18 ◽  
Author(s):  
DAVID HOULE ◽  
SERGEY V. NUZHDIN
Keyword(s):  
Drosophila Melanogaster ◽  
Mutation Rate ◽  
Deleterious Mutation ◽  
Mutation Accumulation ◽  
Inbred Lines ◽  
High Rate ◽  
Confidence Limits ◽  
Laboratory Environment ◽  
Element Number ◽  
Mutational Variance

Repeated efforts to estimate the genomic deleterious mutation rate per generation (U) in Drosophila melanogaster have yielded inconsistent estimates ranging from 0·01 to nearly 1. We carried out a mutation-accumulation experiment with a cryopreserved control population in hopes of resolving some of the uncertainties raised by these estimates. Mutation accumulation (MA) was carried out by brother–sister mating of 150 sublines derived from two inbred lines. Fitness was measured under conditions chosen to mimic the ancestral laboratory environment of these genotypes. We monitored the insertions of a transposable element, copia, that proved to accumulate at the unusually high rate of 0·24 per genome per generation in one of our MA lines. Mutational variance in fitness increased at a rate consistent with previous studies, yielding a mutational coefficient of variation greater than 3%. The performance of the cryopreserved control relative to the MA lines was inconsistent, so estimates of mutation rate by the Bateman–Mukai method are suspect. Taken at face value, these data suggest a modest decline in fitness of about 0·3% per generation. The element number of copia was a significant predictor of fitness within generations; on average, insertions caused a 0·76% loss in fitness, although the confidence limits on this estimate are wide.

scholarly journals Comparing Analysis Methods for Mutation-Accumulation Data: A Simulation Study

Genetics ◽  
2003 ◽  
Vol 164 (2) ◽  
pp. 807-819 ◽  
Author(s):  
Aurora García-Dorado ◽  
Araceli Gallego
Keyword(s):  
Mutation Rate ◽  
Gamma Distribution ◽  
Deleterious Mutation ◽  
Empirical Distribution ◽  
Mutation Accumulation ◽  
High Rate ◽  
Good Precision ◽  
Appreciable Increase ◽  
Fitness Trait ◽  
The Mean

Abstract We simulated single-generation data for a fitness trait in mutation-accumulation (MA) experiments, and we compared three methods of analysis. Bateman-Mukai (BM) and maximum likelihood (ML) need information on both the MA lines and control lines, while minimum distance (MD) can be applied with or without the control. Both MD and ML assume gamma-distributed mutational effects. ML estimates of the rate of deleterious mutation had larger mean square error (MSE) than MD or BM had due to large outliers. MD estimates obtained by ignoring the mean decline observed from comparison to a control are often better than those obtained using that information. When effects are simulated using the gamma distribution, reducing the precision with which the trait is assayed increases the probability of obtaining no ML or MD estimates but causes no appreciable increase of the MSE. When the residual errors for the means of the simulated lines are sampled from the empirical distribution in a MA experiment, instead of from a normal one, the MSEs of BM, ML, and MD are practically unaffected. When the simulated gamma distribution accounts for a high rate of mild deleterious mutation, BM detects only ∼30% of the true deleterious mutation rate, while MD or ML detects substantially larger fractions. To test the robustness of the methods, we also added a high rate of common contaminant mutations with constant mild deleterious effect to a low rate of mutations with gamma-distributed deleterious effects and moderate average. In that case, BM detects roughly the same fraction as before, regardless of the precision of the assay, while ML fails to provide estimates. However, MD estimates are obtained by ignoring the control information, detecting ∼70% of the total mutation rate when the mean of the lines is assayed with good precision, but only 15% for low-precision assays. Contaminant mutations with only tiny deleterious effects could not be detected with acceptable accuracy by any of the above methods.

scholarly journals On the Rate and Linearity of Viability Declines in Drosophila Mutation-Accumulation Experiments: Genomic Mutation Rates and Synergistic Epistasis Revisited

Genetics ◽  
2004 ◽  
Vol 166 (2) ◽  
pp. 797-806 ◽  
Author(s):  
James D Fry
Keyword(s):  
Mutation Rate ◽  
Average Rate ◽  
Natural Populations ◽  
Mutation Accumulation ◽  
High Rate ◽  
Deleterious Mutations ◽  
Order Of Magnitude ◽  
Contamination Event ◽  
Genomic Mutation ◽  
The 1960S

Abstract High rates of deleterious mutations could severely reduce the fitness of populations, even endangering their persistence; these effects would be mitigated if mutations synergize each others’ effects. An experiment by Mukai in the 1960s gave evidence that in Drosophila melanogaster, viability-depressing mutations occur at the surprisingly high rate of around one per zygote and that the mutations interact synergistically. A later experiment by Ohnishi seemed to support the high mutation rate, but gave no evidence for synergistic epistasis. Both of these studies, however, were flawed by the lack of suitable controls for assessing viability declines of the mutation-accumulation (MA) lines. By comparing homozygous viability of the MA lines to simultaneously estimated heterozygous viability and using estimates of the dominance of mutations in the experiments, I estimate the viability declines relative to an appropriate control. This approach yields two unexpected conclusions. First, in Ohnishi’s experiment as well as in Mukai’s, MA lines showed faster-than-linear declines in viability, indicative of synergistic epistasis. Second, while Mukai’s estimate of the genomic mutation rate is supported, that from Ohnishi’s experiment is an order of magnitude lower. The different results of the experiments most likely resulted from differences in the starting genotypes; even within Mukai’s experiment, a subset of MA lines, which I argue probably resulted from a contamination event, showed much slower viability declines than did the majority of lines. Because different genotypes may show very different mutational behavior, only studies using many founding genotypes can determine the average rate and distribution of effects of mutations relevant to natural populations.

scholarly journals Estimation of microsatellite mutation rates in Drosophila melanogaster

2000 ◽  
Vol 76 (3) ◽  
pp. 323-326 ◽  
Author(s):  
JOSÉ FERNANDO VÁZQUEZ ◽  
TRINIDAD PÉREZ ◽  
JESÚS ALBORNOZ ◽  
ANA DOMÍNGUEZ
Keyword(s):  
Drosophila Melanogaster ◽  
Mutation Rate ◽  
Mutation Accumulation ◽  
Trinucleotide Repeats ◽  
Dinucleotide Repeat ◽  
The Other ◽  
Mutation Rates ◽  
Full Agreement ◽  
Single Addition ◽  
Microsatellite Mutation

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 × 10−6, in full agreement with previous estimates from two different sets of mutation accumulation lines.

scholarly journals A broad mutational target explains an evolutionary trend

2019 ◽  
Author(s):  
Fabrice Besnard ◽  
Joao Picao-Osorio ◽  
Clément Dubois ◽  
Marie-Anne Félix
Keyword(s):  
Cell Fate ◽  
Mutation Rate ◽  
Tandem Repeats ◽  
Spontaneous Mutation ◽  
Rapid Evolution ◽  
Mutation Accumulation ◽  
High Mutation Rate ◽  
Genetic Linkage Analysis ◽  
Evolutionary Trend ◽  
Mutational Variance

ABSTRACTAn evolutionary trend, the rapid evolution of a trait in a group of organisms, can in some cases be explained by the mutational variance, the propensity of a phenotype to change under spontaneous mutation. However, the causes of high mutational variance are still elusive. For some morphological traits, fast evolution was shown to depend on the high mutation rate of one or few underlying loci with short tandem repeats. Here, we investigate the case of the fastest evolving cell fate among vulva precursor cells in Caenorhabditis nematodes, that of the cell called ‘P3.p’. For this, we combine mutation accumulation lines, whole-genome sequencing, genetic linkage analysis of the phenotype in recombinant lines, and candidate testing through mutant and CRISPR genome editing to identify causal mutations and the corresponding loci underlying the high mutational variance of P3.p. We identify and validate molecular lesions responsible for changes in this cell’s phenotype during a mutation accumulation experiment. We find that these loci do not present any characteristics of a high mutation rate, are scattered across the genome and belong to distinct biological pathways. Our data instead indicate that a broad mutational target size is the cause of the high mutational variance and of the corresponding evolutionary trend.

Deleterious background selection with recombination.

Genetics ◽  
1995 ◽  
Vol 141 (4) ◽  
pp. 1605-1617 ◽  
Author(s):  
R R Hudson ◽  
N L Kaplan
Keyword(s):  
Drosophila Melanogaster ◽  
Mutation Rate ◽  
Nucleotide Diversity ◽  
Deleterious Mutation ◽  
Selection Model ◽  
Background Selection ◽  
The Third ◽  
Neutral Locus ◽  
Analytic Expression ◽  
Low Levels

Abstract An analytic expression for the expected nucleotide diversity is obtained for a neutral locus in a region with deleterious mutation and recombination. Our analytic results are used to predict levels of variation for the entire third chromosome of Drosophila melanogaster. The predictions are consistent with the low levels of variation that have been observed at loci near the centromeres of the third chromosome of D. melanogaster. However, the low levels of variation observed near the tips of this chromosome are not predicted using currently available estimates of the deleterious mutation rate and of selection coefficients. If considerably smaller selection coefficients are assumed, the low observed levels of variation at the tips of the third chromosome are consistent with the background selection model.

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 Estimate of the Mutation Rate per Nucleotide in Humans

Genetics ◽  
2000 ◽  
Vol 156 (1) ◽  
pp. 297-304 ◽  
Author(s):  
Michael W Nachman ◽  
Susan L Crowell
Keyword(s):  
Mutation Rate ◽  
X Chromosome ◽  
Deleterious Mutation ◽  
Purifying Selection ◽  
High Rate ◽  
Nucleotide Substitutions ◽  
Cpg Dinucleotides ◽  
Rates Of Evolution ◽  
Processed Pseudogenes ◽  
Order Of Magnitude

Abstract Many previous estimates of the mutation rate in humans have relied on screens of visible mutants. We investigated the rate and pattern of mutations at the nucleotide level by comparing pseudogenes in humans and chimpanzees to (i) provide an estimate of the average mutation rate per nucleotide, (ii) assess heterogeneity of mutation rate at different sites and for different types of mutations, (iii) test the hypothesis that the X chromosome has a lower mutation rate than autosomes, and (iv) estimate the deleterious mutation rate. Eighteen processed pseudogenes were sequenced, including 12 on autosomes and 6 on the X chromosome. The average mutation rate was estimated to be ~2.5 × 10−8 mutations per nucleotide site or 175 mutations per diploid genome per generation. Rates of mutation for both transitions and transversions at CpG dinucleotides are one order of magnitude higher than mutation rates at other sites. Single nucleotide substitutions are 10 times more frequent than length mutations. Comparison of rates of evolution for X-linked and autosomal pseudogenes suggests that the male mutation rate is 4 times the female mutation rate, but provides no evidence for a reduction in mutation rate that is specific to the X chromosome. Using conservative calculations of the proportion of the genome subject to purifying selection, we estimate that the genomic deleterious mutation rate (U) is at least 3. This high rate is difficult to reconcile with multiplicative fitness effects of individual mutations and suggests that synergistic epistasis among harmful mutations may be common.

scholarly journals Nature of Deleterious Mutation Load in Drosophila

Genetics ◽  
1996 ◽  
Vol 144 (4) ◽  
pp. 1993-1999 ◽  
Author(s):  
Peter D Keightley
Keyword(s):  
Deleterious Mutation ◽  
Spontaneous Mutation ◽  
Mutation Accumulation ◽  
Mutation Rates ◽  
Mutation Load ◽  
Spontaneous Mutation Rate ◽  
A Minor ◽  
Chromosome I ◽  
Balancer Chromosomes ◽  
Balancer Chromosome

Much population genetics and evolution theory depends on knowledge of genomic mutation rates and distributions of mutation effects for fitness, but most information comes from a few mutation accumulation experiments in Drosophila in which replicated chromosomes are sheltered from natural selection by a balancer chromosome. I show here that data from these experiments imply the existence of a large class of minor viability mutations with approximately equivalent effects. However, analysis of the distribution of viabilities of chromosomes exposed to EMS mutagenesis reveals a qualitatively different distribution of effects lacking such a minor effects class. A possible explanation for this difference is that transposable element insertions, a common class of spontaneous mutation event in Drosophila, frequently generate minor viability effects. This explanation would imply that current estimates of deleterious mutation rates are not generally applicable in evolutionary models, as transposition rates vary widely. Alternatively, much of the apparent decline in viability under spontaneous mutation accumulation could have been nonmutational, perhaps due to selective improvement of balancer chromosomes. This explanation accords well with the data and implies a spontaneous mutation rate for viability two orders of magnitude lower than previously assumed, with most mutation load attributable to major effects.

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