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 approximately 2.5 x 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.

Abstract: The genetic history of a group of populations is usually analyzed by reconstructing a tree of their origins. Reliability of the reconstruction depends on the validity of the hypothesis that genetic differentiation of the populations is mostly due to population fissions followed by independent evolution. If necessary, adjustment for major population admixtures can be made. Dating the fissions requires comparisons with paleoanthropological and paleontological dates, which are few and uncertain. A method of absolute genetic dating recently introduced uses mutation rates as molecular clocks; it was applied to human evolution using microsatellites, which have a sufficiently high mutation rate. Results are comparable with those of other methods and agree with a recent expansion of modern humans from Africa. An alternative method of analysis, useful when there is adequate geographic coverage of regions, is the geographic study of frequencies of alleles or haplotypes. As in the case of trees, it is necessary to summarize data from many loci for conclusions to be acceptable. Results must be independent from the loci used. Multivariate analyses like principal components or multidimensional scaling reveal a number of hidden patterns and evaluate their relative importance. Most patterns found in the analysis of human living populations are likely to be consequences of demographic expansions, determined by technological developments affecting food availability, transportation, or military power. During such expansions, both genes and languages are spread to potentially vast areas. In principle, this tends to create a correlation between the respective evolutionary trees. The correlation is usually positive and often remarkably high. It can be decreased or hidden by phenomena of language replacement and also of gene replacement, usually partial, due to gene flow.

Abstract: Population genetics is concerned with the study of the genetic, ecological, and evolutionary factors that influence and change the genetic composition of populations. The emphasis here is on models that have a direct bearing on evolutionary quantitative genetics. Applications concerning the maintenance of genetic variation in quantitative traits and their dynamics under selection are treated in detail.

Abstract: A new statistic for detecting genetic differentiation of subpopulations is described. The statistic can be calculated when genetic data are collected on individuals sampled from two or more localities. It is assumed that haplotypic data are obtained, either in the form of DNA sequences or data on many tightly linked markers. Using a symmetric island model, and assuming an infinite-sites model of mutation, it is found that the new statistic is as powerful or more powerful than previously proposed statistics for a wide range of parameter values.

Abstract: When organisms adapt genetically to one environment, they may lose fitness in other environments. Two distinct population genetic processes can produce ecological specialization-mutation accumulation and antagonistic pleiotropy. In mutation accumulation, mutations become fixed by genetic drift in genes that are not maintained by selection; adaptation to one environment and loss of adaptation to another are caused by different mutations. Antagonistic pleiotropy arises from trade-offs, such that the same mutations that are beneficial in one environment are detrimental in another. In general, it is difficult to distinguish between these processes. We analysed the decay of unused catabolic functions in 12 lines of Escherichia coli propagated on glucose for 20,000 generations. During that time, several lines evolved high mutation rates. If mutation accumulation is important, their unused functions should decay more than the other lines, but no significant difference was observed. Moreover, most catabolic losses occurred early in the experiment when beneficial mutations were being rapidly fixed, a pattern predicted by antagonistic pleiotropy. Thus, antagonistic pleiotropy appears more important than mutation accumulation for the decay of unused catabolic functions in these populations.

Abstract: Summary 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 BioEssays 22:1057‐ 1066, 2000 fl 2000 John Wiley & Sons, Inc

Abstract: Congenital adrenal hyperplasia (CAH) is a group of autosomal recessive disorders. CAH is most often caused by deficiency of steroid 21-hydroxylase. The frequency of CYP21-inactivating mutations and the genotype-phenotype relationship were characterized in 155 well defined unrelated CAH patients. We were able to elucidate 306 of 310 disease-causing alleles (diagnostic sensitivity, 98.7%). The most frequent mutation was the intron 2 splice site mutation (30.3%), followed by gene deletions (20.3%), the I172N mutation (19.7%) and large gene conversions (7.1%). Five point mutations were detected that have not been described in other CAH cohorts. Genotypes were categorized in 4 mutation groups (null, A, B, and C) according to their predicted functional consequences and compared to the clinical phenotype. The positive predictive value for null mutations (ppv(null)) was 100%, as all patients with these mutations had a salt-wasting phenotype. In mutation group A (intron 2 splice site mutation in homozygous or heterozygous form with a null mutation), the ppv(A) to manifest with salt-wasting CAH was 90%. In group B predicted to result in simple virilizing CAH (I172N in homozygous or compound heterozygous form with a more severe mutation), ppv(B) was 74%. In group C (P30L, V281L, P453S in homozygous or compound heterozygous form with a more severe mutation), ppv(C) was 64.7% to exhibit the nonclassical form of CAH, but 90% when excluding the P30L mutation. Thus, in general, a good genotype-phenotype relationship is shown in patients with either the severest or the mildest mutations. A considerable degree of divergence is observed within mutation groups of intermediate severity. As yet undefined factors modifying 21-hydroxylase gene expression and steroid hormone action are likely to account for these differences in phenotypic expression.

Abstract: Although microsatellite polymorphisms are one of the most commonly used tools in genetic analyses, it remains to be understood how microsatellite DNA has evolved as a ubiquitous and highly abundant class of repetitive sequences in eukaryotic genomes. On the basis of analyses of spontaneous human microsatellite mutations of germline origin, I show here that different mutation biases underlie the evolution of microsatellite repeats. The within-locus mutation rate increases with allele length, but is not affected by the size difference between an individual's two alleles (allele span). Within loci, long alleles tend to mutate to shorter lengths, thereby acting to prevent infinite growth. Expansions are more common than contractions among dinucleotide repeats, whereas no such trend is evident among tetranucleotide repeats. This observation is consistent with the longer repeat lengths and higher frequency of di- compared with tetranucleotide repeats. An excess of paternally transmitted mutations (male-to-female ratio of 4.9) supports a male-biased mutation rate in the human genome.

Abstract: Genetic algorithms are stochastic search approaches based on randomized operators, such as selection, crossover and mutation, inspired by the natural reproduction and evolution of the living creatures. However, few published works deal with their application to the global optimization of functions depending on continuous variables. A new algorithm called Continuous Genetic Algorithm (CGA) is proposed for the global optimization of multiminima functions. In order to cover a wide domain of possible solutions, our algorithm first takes care over the choice of the initial population. Then it locates the most promising area of the solution space, and continues the search through an “intensification” inside this area. The selection, the crossover and the mutation are performed by using the decimal code. The efficiency of CGA is tested in detail through a set of benchmark multimodal functions, of which global and local minima are known. CGA is compared to Tabu Search and Simulated Annealing, as alternative algorithms.

Abstract: Although 20 years have elapsed since the first single basepair substitution underlying an inherited disease in humans was characterised at the DNA level, the initiative has only recently been taken to establish central database resources for pathological genetic variants. Disease-associated gene lesions are currently collected and publicised by the Human Gene Mutation Database (HGMD) in Cardiff, locus-specific mutation databases, and to some extent also by the Genome Database (GDB) and Online Mendelian Inheritance in Man (OMIM). To date, HGMD represents the only comprehensive and publicly available database of gene lesions underlying human inherited disease. By July 1999, HGMD contained over 18,000 different mutations from some 900 human genes, the majority being single basepair substitutions. In addition to its potential as an information resource for clinicians and genetic counsellors, HGMD has allowed molecular geneticists to address a variety of biological questions through meta-analysis of the collated data. HGMD also promises to assist research workers in optimising mutation search strategies for a given gene. A questionnaire sent out to, and answered by, the editors of 20 key journals revealed that human genetics journals are increasingly reluctant to publish mutation reports. Electronic data submission and publication facilities are therefore urgently required. The World Wide Web (WWW) provides an excellent medium within which to combine the centralised management of basic mutation data, including rigorous quality control, with the possibility of publishing additional mutation-related information. In response to these needs, HGMD has both instituted a collaboration with Springer-Verlag GmbH, Heidelberg, to potentiate free online submission and electronic publication of human gene mutation data and developed links with the curators of locus-specific mutation databases.

Abstract: For nearly a century, cancer has been blamed on somatic mutation. But it is still unclear whether this mutation is aneuploidy, an abnormal balance of chromosomes, or gene mutation. Despite enormous efforts, the currently popular gene mutation hypothesis has failed to identify cancer-specific mutations with transforming function and cannot explain why cancer occurs only many months to decades after mutation by carcinogens and why solid cancers are aneuploid, although conventional mutation does not depend on karyotype alteration. A recent high-profile publication now claims to have solved these discrepancies with a set of three synthetic mutant genes that “suffices to convert normal human cells into tumorigenic cells.” However, we show here that even this study failed to explain why it took more than “60 population doublings” from the introduction of the first of these genes, a derivative of the tumor antigen of simian virus 40 tumor virus, to generate tumor cells, why the tumor cells were clonal although gene transfer was polyclonal, and above all, why the tumor cells were aneuploid. If aneuploidy is assumed to be the somatic mutation that causes cancer, all these results can be explained. The aneuploidy hypothesis predicts the long latent periods and the clonality on the basis of the following two-stage mechanism: stage one, a carcinogen (or mutant gene) generates aneuploidy; stage two, aneuploidy destabilizes the karyotype and thus initiates an autocatalytic karyotype evolution generating preneoplastic and eventually neoplastic karyotypes. Because the odds are very low that an abnormal karyotype will surpass the viability of a normal diploid cell, the evolution of a neoplastic cell species is slow and thus clonal, which is comparable to conventional evolution of new species.

Abstract: SIMCOAL (version 1.0) is a computer program for the simulation of molecular genetic diversity in an arbitrary number of haploid populations examined for a set of fully linked loci. It is based on the retrospective coalescent approach initially described by Kingman (1982a,b), and clearly exposed in a series of other articles (Donnelly and Tavaré 1995; Ewens 1990; Hudson 1990). The coalescent backward approach does not simulate the genetic history of the whole population, like in conventional forward simulations, but rather reconstructs the gene genealogy (coalescent history) of samples of genes drawn from different demes in a population. For neutral genes, this coalescent process essentially depends on the history and on the demography of the population, and is independent from the mutational process. In our program, we simulate mutations starting from the most recent common ancestor (MRCA) of all genes in the sample, and add them independently on all branches of the genealogy assuming a uniform and constant Poisson process. Using this two-step (coalescent-mutation) approach, many replicates of haploid samples of DNA sequences, RFLP, or microsatellite data can be simulated very quickly. The analysis of a large number of simulated samples allows one to obtain the empirical distribution of practically any statistic that can be derived from genetic data, including statistics for which no analytical derivation is available (Hudson 1993). Typical applications of our program include the study of the effect of complex demographies on the pattern of genetic diversity within and between populations, like in the case of bottlenecks, complex cases of admixture, or metapopulation systems. While our program generates haploid samples of genes or haplotypes, diploid data can be generated under the hypothesis of Hardy–Weinberg equilibrium by taking random pairs of haplotypes to form diploid genotypes. The program runs on PC-compatible computers under Windows 95/98/NT, but we provide the C source code that should compile under other operating systems, provided the compiler follows the latest C ISO committee specifications. It is freely available on the website at http:// anthropologie.unige.ch/ laurent/simcoal.

Abstract: A recessive mutation was identified that constitutively activated the ethylene response pathway in Arabidopsis and resulted in a rosette-lethal phenotype. Positional cloning of the gene corresponding to this mutation revealed that it was allelic to responsive to antagonist1 (ran1), a mutation that causes seedlings to respond in a positive manner to what is normally a competitive inhibitor of ethylene binding. In contrast to the previously identified ran1-1 and ran1-2 alleles that are morphologically indistinguishable from wild-type plants, this ran1-3 allele results in a rosette-lethal phenotype. The predicted protein encoded by the RAN1 gene is similar to the Wilson and Menkes disease proteins and yeast Ccc2 protein, which are integral membrane cation-transporting P-type ATPases involved in copper trafficking. Genetic epistasis analysis indicated that RAN1 acts upstream of mutations in the ethylene receptor gene family. However, the rosette-lethal phenotype of ran1-3 was not suppressed by ethylene-insensitive mutants, suggesting that this mutation also affects a non-ethylene-dependent pathway regulating cell expansion. The phenotype of ran1-3 mutants is similar to loss-of-function ethylene receptor mutants, suggesting that RAN1 may be required to form functional ethylene receptors. Furthermore, these results suggest that copper is required not only for ethylene binding but also for the signaling function of the ethylene receptors.

Abstract: Multiple sclerosis (MS) is the most common demyelinating disease of the central nervous system. It is widely accepted that a dysregulated immune response against brain resident antigens is central to its yet unknown pathogenesis1,2,3,4. Although there is evidence that the development of MS has a genetic component, specific genetic factors are largely unknown5,6,7. Here we investigated the role of a point mutation in the gene (PTPRC) encoding protein-tyrosine phosphatase, receptor-type C (also known as CD45) in the heterozygous state in the development of MS. The nucleotide transition in exon 4 of the gene locus interferes with mRNA splicing and results in altered expression of CD45 isoforms on immune cells. In three of four independent case-control studies, we demonstrated an association of the mutation with MS. We found the PTPRC mutation to be linked to and associated with the disease in three MS nuclear families. In one additional family, we found the same variant CD45 phenotype, with an as-yet-unknown origin, among the members affected with MS. Our findings suggest an association of the mutation in PTPRC with the development of MS in some families.

Abstract: Despite decades of work in evolutionary algorithms, there remains an uncertainty as to the relative benefits and detriments of using recombination or mutation. This book provides a characterization of the roles that recombination and mutation play in evolutionary algorithms. It integrates important prior work and introduces new theoretical techniques for studying evolutionary algorithms. Consequences of the theory are explored and a novel method for comparing search and optimization algorithms is introduced. The focus allows the book to bridge multiple communities, including evolutionary biologists and population geneticists.

Abstract: Rational drug design involves finding solutions to large combinatorial problems for which an exhaustive search is impractical. Genetic algorithms provide a novel tool for the investigation of such problems. These are a class of algorithms that mimic some of the major characteristics of Darwinian evolution. LEA has been designed in order to conceive novel small organic molecules which satisfy quantitative structure-activity relationship based rules (fitness). The fitness consists of a sum of constraints that are range properties. The algorithm takes an initial set of fragments and iteratively improves them by means of crossover and mutation operators that are related to those involved in Darwinian evolution. The basis of the algorithm, its implementation and parameterization, are described together with an application in de novo molecular design of new retinoids. The results may be promising for chemical synthesis and show that this tool may find extensive applications in de novo drug design projects.

Abstract: The R141H mutation in the PMM2 gene is the most frequent mutation in type Ia of the congenital disorders of glycosylation (formerly carbohydrate-deficient glycoprotein syndromes)(CDG-Ia). However, it has never been observed in the homozygous state. Homozygosity for this mutation is probably incompatible with life. In this study, we determined the frequency of R141H in two normal populations: in neonates of Dutch origin 1/79 were carriers, whilst in the Danish population, a carrier frequency of 1/60 was found. These figures are clearly in disequilibrium with the frequency of CDG-Ia that has been estimated at 1/80 000 to 1/40 000 in these populations. Haplotype analysis of 43 patients with the R141H mutation of different geographic origins indicated that the R141H is an old mutation in the Caucasian population. Based on the new data, the disease frequency has been calculated at 1/20 000 in these populations. It is concluded that the disease is probably underdiagnosed.

Abstract: In Genetic Algorithms mutation probability is usually assigned a constant value, therefore all chromosome have the same likelihood of mutation irrespective of their fitness. It is shown in this paper that making mutation a function of fitness produces a more efficient search. This function is such that the least significant bits are more likely to be mutated in high-fitness chromosomes, thus improving their accuracy, whereas low-fitness chromosomes have an increased probability of mutation, enhancing their role in the search. In this way, the chance of disrupting a high-fitness chromosome is decreased and the exploratory role of low-fitness chromosomes is best exploited. The implications of this new mutation scheme are assessed with the aid of numerical examples.

Abstract: As this minireview is concerned with the importance of the environment in directing evolution, it is appropriate to remember that Lamarck was the first to clearly articulate a consistent theory of gradual evolution from the simplest of species to the most complex, culminating in the origin of

Abstract: Using a weak migration and weak mutation approximation, I studied the average waiting time to parapatric speciation. The description of reproductive isolation used is based on the classical Dobzhansky model and its recently proposed multilocus generalizations. The dynamics of parapatric speciation are modelled as a biased random walk performed by the average genetic distance between the residents and immigrants. If a small number of genetic changes is sufficient for complete reproductive isolation, mutation and random genetic drift alone can cause speciation on the time-scale of ten to 1,000 times the inverse of the mutation rate over a set of loci underlying reproductive isolation. Even relatively weak selection for local adaptation can dramatically decrease the waiting time to speciation. The actual duration of the parapatric speciation process (that is the duration of intermediate forms in the actual transition to a state of complete reproductive isolation) is shorter by orders of magnitude than the overall waiting time to speciation. For a wide range of parameter values, the actual duration of parapatric speciation is of the order of one over the mutation rate. In general, parapatric speciation is expected to be triggered by changes in the environment.

Abstract: Mitochondrial DNA (mtDNA) point mutations are known to accumulate in an age-dependent fashion in somatic tissues. This study investigated whether a point mutation (T414G) in the mtDNA control region was present in oocytes from women of advanced age. In all, 66 non-viable discarded human oocytes were analysed for the presence of a T414G transversion mutation. DNA sequence analysis confirmed the presence of this mutation in one oocyte from 11 patients between the ages of 26 and 36 years (n = 23), compared to 17 oocytes from 10 patients between the ages of 37 and 42 years (n = 43). The younger group exhibited this mtDNA point mutation in only 4.4% of oocytes compared to 39.5% from the older group (P < 0.01). Therefore, single human oocytes contain the mtDNA T414G transversion point mutation that accumulates in an age-dependent manner. The potential significance of this point mutation may be its association with reproductive senescence. Furthermore, since this mutation exists in the control region of the mtDNA it may affect the regulation of mtDNA transcription and replication during oocyte and post-embryonic development.