The influence of environmental factors, the pollen : ovule ratio and seed bank persistence on molecular evolutionary rates in plants

One of the main goals of molecular evolutionary biology is to determine the factors that influence the evolutionary rate of selectively neutral DNA, but much remains unknown, especially for plants. Key factors that could alter the mutation rate include environmental tolerances (because they reflect a plants vulnerability to changes in habitat), the pollen:ovule ratio (as it is associated with the number of mitotic divisions) and seed longevity (because this influences the number of generations per unit time in plants). This is the first study to demonstrate that seed bank persistence and drought tolerance are positively associated with molecular evolutionary rates in plants and that pollen:ovule ratio, shade tolerance and salinity tolerance have no detectable relationship. The implications of the findings to our understanding of the impact of environmental agents, the number of cell divisions and cell aging on neutral DNA sequence evolution are discussed.     

PERSPECTIVE: SPONTANEOUS DELETERIOUS MUTATION

Mildly deleterious mutation has been invoked as a leading explanation for a diverse array of observations in evolutionary genetics and molecular evolution and is thought to be a significant risk of extinction for small populations. However, much of the empirical evidence for the deleterious-mutation process derives from studies of Drosophila melanogaster, some of which have been called into question. We review a broad array of data that collectively support the hypothesis that deleterious mutations arise in flies at rate of about one per individual per generation, with the average mutation decreasing fitness by about only 2% in the heterozygous state. Empirical evidence from microbes, plants, and several other animal species provide further support for the idea that most mutations have only mildly deleterious effects on fitness, and several other species appear to have genomic mutation rates that are of the order of magnitude observed in Drosophila. However, there is mounting evidence that some organisms have genomic deleterious mutation rates that are substantially lower than one per individual per generation. These lower rates may be at least partially reconciled with the Drosophila data by taking into consideration the number of germline cell divisions per generation. To fully resolve the existing controversy over the properties of spontaneous mutations, a number of issues need to be clarified. These include the form of the distribution of mutational effects and the extent to which this is modified by the environmental and genetic background and the contribution of basic biological features such as generation length and genome size to interspecific differences in the genomic mutation rate. Once such information is available, it should be possible to make a refined statement about the long-term impact of mutation on the genetic integrity of human populations subject to relaxed selection resulting from modern medical procedures.     

Construction of a supF-based system for detection of mutations in the chromosomal DNA of Arabidopsis

The factors maintaining genomic integrity, which have been studied in detail in other species, have yet to be investigated in plants. Recent progress in gene-silencing technology has made it possible to produce transgenic plants with loss-of-function phenotypes for the effective analysis of these factors, even with the high redundancy of genes in plants. Therefore, a mutation-detection system for plants is necessary to estimate the biological function of a target gene for mutation frequencies and spectra. Here, we reported the development of a novel system to analyze mutations in the chromosomal DNA of plants. The supF gene of E. coli was used as a target for the mutation because it was possible to detect all mutational base changes. Based on the plasmid pTN30, which carries supF, we constructed a binary Ti vector for its introduction to Arabidopsis genomes. The system was validated by measuring mutations in both non-treated and mutagen-treated transgenic plants. DNA fragments including pTN30 were rescued from the plants, and introduced into E. coli KS40/pOF105 to isolate the supF mutant clones conferring both nalidixic acid and streptomycin resistance on transformants. We found that the mutation frequency was approximately three times higher with the ethyl methanesulfonate (EMS) treatment than without it and G:C to A:T transitions dominated, which was the most reasonable mutation induced by EMS. These results show that this system allowed for the rapid analysis of mutations in plants, and may be useful for analyzing plant genes related to the functions of genomic stability and monitoring environmental genotoxic substances.     

Stationary phase mutagenesis: mechanisms that accelerate adaptation of microbial populations under environmental stress

Microorganisms are exposed to constantly changing environmental conditions. In a growth-restricting environment (e.g. during starvation), mutants arise that are able to take over the population by a process known as stationary phase mutation. Genetic adaptation of a microbial population under environmental stress involves mechanisms that lead to an elevated mutation rate. Under stressful conditions, DNA synthesis may become more erroneous because of the induction of error-prone DNA polymerases, resulting in a situation in which DNA repair systems are unable to cope with increasing amounts of DNA lesions. Transposition may also increase genetic variation. One may ask whether the rate of mutation under stressful conditions is elevated as a result of malfunctioning of systems responsible for accuracy or are there specific mechanisms that regulate the rate of mutations under stress. Evidence for the presence of mutagenic pathways that have probably been evolved to control the mutation rate in a cell will be discussed.     

The contribution of endogenous sources of DNA damage to the multiple mutations in cancer

There is increasing evidence that most human cancers contain multiple mutations. By the time a tumor is clinically detectable it may have accumulated tens of thousands of mutations. In normal cells, mutations are rare events occurring at a rate of 10(-10) mutations per nucleotide per cell per generation. We have argued that the mutation rates exhibited by normal human cells are insufficient to account for the large number of mutations found in human cancers, and therefore, that an early event in tumorigenesis is the development of a mutator phenotype. In normal cells, spontaneous and induced DNA damage is balanced by multiple pathways for DNA repair, and most DNA damage is repaired without error. However, in tumor cells this balance may be shifted such that damage overwhelms the repair capacity, resulting in the accumulation of multiple mutations. Our hypothesis is that multiple random mutations occur during carcinogenesis. The sequential mutations that are observed in some human tumors result from selective events required for tumor progression. We consider the possibility that endogenous sources of DNA damage, in particular oxidative DNA damage, may contribute to genomic instability and to a mutator phenotype in some tumors. Endogenous and environmental sources of reactive oxygen species (ROS) are abundant. In tumor cells, antioxidant or DNA repair capacity may be insufficient to compensate for the production of ROS, and these endogenous ROS may be capable of damaging DNA and inducing mutations in critical DNA stability genes. The possibility that oxidative DNA damage could be a significant source of the genomic instability characteristic of human cancers is exciting, because it may be feasible to modulate the extent of oxidative damage through antioxidant therapy. The use of antioxidants to reduce the extent of molecular damage by ROS could delay the progression of cancer.     

Epistasis and its relationship to canalization in the RNA virus phi 6

Although deleterious mutations are believed to play a critical role in evolution, assessing their realized effect has been difficult. A key parameter governing the effect of deleterious mutations is the nature of epistasis, the interaction between the mutations. RNA viruses should provide one of the best systems for investigating the nature of epistasis because the high mutation rate allows a thorough investigation of mutational effects and interactions. Nonetheless, previous investigations of RNA viruses by S. Crotty and co-workers and by S. F. Elena have been unable to detect a significant effect of epistasis. Here we provide evidence that positive epistasis is characteristic of deleterious mutations in the RNA bacteriophage phi 6. We estimated the effects of deleterious mutations by performing mutation-accumulation experiments on five viral genotypes of decreasing fitness. We inferred positive epistasis because viral genotypes with low fitness were found to be less sensitive to deleterious mutations. We further examined environmental sensitivity in these genotypes and found that low-fitness genotypes were also less sensitive to environmental perturbations. Our results suggest that even random mutations impact the degree of canalization, the buffering of a phenotype against genetic and environmental perturbations. In addition, our results suggest that genetic and environmental canalization have the same developmental basis and finally that an understanding of the nature of epistasis may first require an understanding of the nature of canalization.     

Assessing DNA damage and health risk using biomarkers

Increased genomic instability has been found associated with cancer and aging. The p53 tumor suppressor protein is a major determinant of genomic instability as a regulator of cell cycle control and apoptosis in response to DNA damage. To investigate the rate of age-related mutation accumulation in the absence of p53, we crossed Trp53 null mice with transgenic mice harboring a lacZ mutational target gene. In the hybrid animals, lacZ mutation frequencies at early age (i.e. at about 2 months) were found to be the same as in the control lacZ animals. However, up until about 6 months, when the Trp53-knockout mice usually die from cancer, mutations were found to accumulate with age in the spleen, and to a lesser extent in the liver, at a more rapid rate than in the control Trp53(+/+) or Trp53(+/-), lacZ hybrid mice. Treatment of 2-3-month-old Trp53(-/-), lacZ hybrid mice with the powerful mutagen ethyl nitrosourea (ENU) resulted in a higher number of mutations induced in the liver but not in the spleen, as compared to the Trp53(+/+), lacZ mice. These results suggest that p53 is not an important determinant of gene mutation induction, either spontaneously during development or after treatment with a mutagen. The accelerated age-related accumulation of mutations in normal spleen and liver could be explained by the defect in apoptosis, which would prevent severely damaged cells from being eliminated.     

Male-driven evolution of mitochondrial and chloroplastidial DNA sequences in plants

Although there is substantial evidence that, in animals, male-inherited neutral DNA evolves at a higher rate than female-inherited DNA, the relative evolutionary rate of male- versus female-inherited DNA has not been investigated in plants. We compared the substitution rates at neutral sites of maternally and paternally inherited organellar DNA in gymnosperms. The analysis provided substantial support for the presence of a higher evolutionary rate in both the mitochondrial and chloroplastidial DNA when the organelle was inherited paternally than when inherited maternally. These results suggest that, compared with eggs, sperm tend to carry a greater number of mutations in mitochondrial and chloroplastidial DNA. The existence of a male mutation bias in plants is remarkable because, unlike animals, the germ-lines are not separated from the somatic cells throughout an individual's lifetime. The data therefore suggest that even a brief period of male and female germ-line separation can cause gender-specific mutation rates. These results are the first to show that, at least in some species, germ-lines influence the number of mutations carried in the gametes. Possible causes of male mutation bias in plants are discussed.     

Combining Magnetic Sorting of Mother Cells and Fluctuation Tests to Analyze Genome Instability During Mitotic Cell Aging in Saccharomyces cerevisiae

Saccharomyces cerevisiae has been an excellent model system for examining mechanisms and consequences of genome instability. Information gained from this yeast model is relevant to many organisms, including humans, since DNA repair and DNA damage response factors are well conserved across diverse species. However, S. cerevisiae has not yet been used to fully address whether the rate of accumulating mutations changes with increasing replicative (mitotic) age due to technical constraints. For instance, measurements of yeast replicative lifespan through micromanipulation involve very small populations of cells, which prohibit detection of rare mutations. Genetic methods to enrich for mother cells in populations by inducing death of daughter cells have been developed, but population sizes are still limited by the frequency with which random mutations that compromise the selection systems occur. The current protocol takes advantage of magnetic sorting of surface-labeled yeast mother cells to obtain large enough populations of aging mother cells to quantify rare mutations through phenotypic selections. Mutation rates, measured through fluctuation tests, and mutation frequencies are first established for young cells and used to predict the frequency of mutations in mother cells of various replicative ages. Mutation frequencies are then determined for sorted mother cells, and the age of the mother cells is determined using flow cytometry by staining with a fluorescent reagent that detects bud scars formed on their cell surfaces during cell division. Comparison of predicted mutation frequencies based on the number of cell divisions to the frequencies experimentally observed for mother cells of a given replicative age can then identify whether there are age-related changes in the rate of accumulating mutations. Variations of this basic protocol provide the means to investigate the influence of alterations in specific gene functions or specific environmental conditions on mutation accumulation to address mechanisms underlying genome instability during replicative aging.     

Consequences of reproductive mode on genome evolution in fungi

An organism's reproductive mode is believed to be a major factor driving its genome evolution. In theory, sexual inbreeding and asexuality are associated with lower effective recombination levels and smaller effective population sizes than sexual outbreeding, giving rise to reduced selection efficiency and genetic hitchhiking. This, in turn, is predicted to result in the accumulation of deleterious mutations and other genomic changes, for example the accumulation of repetitive elements. Empirical data from plants and animals supporting/refuting these theories are sparse and have yielded few conclusive results. A growing body of data from the fungal kingdom, wherein reproductive behavior varies extensively within and among taxonomic groups, has provided new insights into the role of mating systems (e.g., homothallism, heterothallism, pseudohomothallism) and asexuality, on genome evolution. Herein, we briefly review the theoretical relationships between reproductive mode and genome evolution and give examples of empirical data on the topic derived to date from plants and animals. We subsequently focus on the available data from fungi, which suggest that reproductive mode alters the rates and patterns of genome evolution in these organisms, e.g., protein evolution, mutation rate, codon usage, frequency of genome rearrangements and repetitive elements, and variation in chromosome size.     

Aneuploidy, the primary cause of the multilateral genomic instability of neoplastic and preneoplastic cells

Cancers have a clonal origin, yet their chromosomes and genes are non-clonal or heterogeneous due to an inherent genomic instability. However, the cause of this genomic instability is still debated. One theory postulates that mutations in genes that are involved in DNA repair and in chromosome segregation are the primary causes of this instability. But there are neither consistent correlations nor is there functional proof for the mutation theory. Here we propose aneuploidy, an abnormal number of chromosomes, as the primary cause of the genomic instability of neoplastic and preneoplastic cells. Aneuploidy destabilizes the karyotype and thus the species, independent of mutation, because it corrupts highly conserved teams of proteins that segregate, synthesize and repair chromosomes. Likewise it destabilizes genes. The theory explains 12 of 12 specific features of genomic instability: (1) Mutagenic and non-mutagenic carcinogens induce genomic instability via aneuploidy. (2) Aneuploidy coincides and segregates with preneoplastic and neoplastic genomic instability. (3) Phenotypes of genomically unstable cells change and even revert at high rates, compared to those of diploid cells, via aneuploidy-catalyzed chromosome rearrangements. (4) Idiosyncratic features of cancers, like immortality and drug-resistance, derive from subspecies within the 'polyphyletic' diversity of individual cancers. (5) Instability is proportional to the degree of aneuploidy. (6) Multilateral chromosomal and genetic instabilities typically coincide, because aneuploidy corrupts multiple targets simultaneously. (7) Gene mutation is common, but neither consistent nor clonal in cancer cells as predicted by the aneuploidy theory. (8) Cancers fall into a near-diploid (2 N) class of low instability, a near 1.5 N class of high instability, or a near 3 N class of very high instability, because aneuploid fitness is maximized either by minimally unstable karyotypes or by maximally unstable, but adaptable karyotypes. (9) Dominant phenotypes, because of aneuploid genotypes. (10) Uncertain developmental phenotypes of Down and other aneuploidy syndromes, because supply-sensitive, diploid programs are destabilized by products from aneuploid genes supplied at abnormal concentrations; the maternal age-bias for Down's would reflect age-dependent defects of the spindle apparatus of oocytes. (11) Non-selective phenotypes, e.g., metastasis, because of linkage with selective phenotypes on the same chromosomes. (12) The target, induction of genomic instability, is several 1000-fold bigger than gene mutation, because it is entire chromosomes. The mutation theory explains only a few of these features. We conclude that the transition of stable diploid to unstable aneuploid cell species is the primary cause of preneoplastic and neoplastic genomic instability and of cancer, and that mutations are secondary.     

Avoiding Dangerous Missense: Thermophiles Display Especially Low Mutation Rates

Rates of spontaneous mutation have been estimated under optimal growth conditions for a variety of DNA-based microbes, including viruses, bacteria, and eukaryotes. When expressed as genomic mutation rates, most of the values were in the vicinity of 0.003–0.004 with a range of less than two-fold. Because the genome sizes varied by roughly 10⁴-fold, the mutation rates per average base pair varied inversely by a similar factor. Even though the commonality of the observed genomic rates remains unexplained, it implies that mutation rates in unstressed microbes reach values that can be finely tuned by evolution. An insight originating in the 1920s and maturing in the 1960s proposed that the genomic mutation rate would reflect a balance between the deleterious effect of the average mutation and the cost of further reducing the mutation rate. If this view is correct, then increasing the deleterious impact of the average mutation should be countered by reducing the genomic mutation rate. It is a common observation that many neutral or nearly neutral mutations become strongly deleterious at higher temperatures, in which case they are called temperature-sensitive mutations. Recently, the kinds and rates of spontaneous mutations were described for two microbial thermophiles, a bacterium and an archaeon. Using an updated method to extrapolate from mutation-reporter genes to whole genomes reveals that the rate of base substitutions is substantially lower in these two thermophiles than in mesophiles. This result provides the first experimental support for the concept of an evolved balance between the total genomic impact of mutations and the cost of further reducing the basal mutation rate.     

The challenges of modeling mammalian biocomplexity

Understanding the relationships between human genetic factors, the risks of developing major diseases and the molecular basis of drug efficacy and toxicity is a fundamental problem in modern biology. Predicting biological outcomes on the basis of genomic data is a major challenge because of the interactions of specific genetic profiles with numerous environmental factors that may conditionally influence disease risks in a nonlinear fashion. 'Global' systems biology attempts to integrate multivariate biological information to better understand the interaction of genes with the environment. The measurement and modeling of such diverse information sets is difficult at the analytical and bioinformatic modeling levels. Highly complex animals such as humans can be considered 'superorganisms' with an internal ecosystem of diverse symbiotic microbiota and parasites that have interactive metabolic processes. We now need novel approaches to measure and model metabolic compartments in interacting cell types and genomes that are connected by cometabolic processes in symbiotic mammalian systems.     

Repetitive DNA elements as mediators of genomic change in response to environmental cues

There is no logical or theoretical barrier to the proposition that organismal and cell signaling could transduce environmental signals into specific, beneficial changes in primary structure of noncoding DNA via repetitive element movement or mutation. Repetitive DNA elements, including transposons and microsatellites, are known to influence the structure and expression of protein-coding genes, and to be responsive to environmental signals in some cases. These effects may create fodder for adaptive evolution, at rates exceeding those observed for point mutations. In many cases, the changes are no doubt random, and fitness is increased through simple natural selection. However, some transposons insert at specific sites, and certain regions of the genome exhibit selectively and beneficially high mutation rates in a range of organisms. In multicellular organisms, this could benefit individuals in situations with significant potential for clonal expansion: early life stages or regenerative tissues in animals, and most plant tissues. Transmission of the change to the next generation could occur in plants and, under some circumstances, in animals.     

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.     

Genomic mutation rates: what high‐throughput methods can tell us

High‐throughput DNA analyses are increasingly being used to detect rare mutations in moderately sized genomes. These methods have yielded genome mutation rates that are markedly higher than those obtained using pre‐genomic strategies. Recent work in a variety of organisms has shown that mutation rate is strongly affected by sequence context and genome position. These observations suggest that high‐throughput DNA analyses will ultimately allow researchers to identify trans‐acting factors and cis sequences that underlie mutation rate variation. Such work should provide insights on how mutation rate variability can impact genome organization and disease progression.     

RNA mutations of prox1 detected in human esophageal cancer cells by the shifted termination assay

We have recently reported a novel finding that a candidate tumor suppressor gene prox1 suffered adenosine-to-inosine (A-to-I) RNA mutation without genomic mutation in a subset of human cancer cells and lost its function. Hence, screening of mutations in both cDNA and genomic DNA could be important in the analysis of causes for cancers. Here, we applied a sensitive, accurate, and simple method, called shifted termination assay (STA) for detection of an A-to-I RNA mutation (R334G) in prox1. We prepared PCR-amplified samples containing the target base of RNA mutation from cDNAs and genomic DNAs of various cell lines and clinical samples, to demonstrate that the STA method can be used to identify not only genomic mutations but also RNA mutations more effectively compared to sequencing. By means of STA, we found prox1 R334G RNA mutations but not genomic DNA mutations in 4 of 8 cases of esophageal cancers. This method can help us to detect RNA mutation effectively and progress research of a potential oncogenic principle.     

Inferring Genome-Wide Correlations of Mutation Fitness Effects between Populations

The effect of a mutation on fitness may differ between populations depending on environmental and genetic context, but little is known about the factors that underlie such differences. To quantify genome-wide correlations in mutation fitness effects, we developed a novel concept called a joint distribution of fitness effects (DFE) between populations. We then proposed a new statistic w to measure the DFE correlation between populations. Using simulation, we showed that inferring the DFE correlation from the joint allele frequency spectrum is statistically precise and robust. Using population genomic data, we inferred DFE correlations of populations in humans, Drosophila melanogaster, and wild tomatoes. In these species, we found that the overall correlation of the joint DFE was inversely related to genetic differentiation. In humans and D. melanogaster, deleterious mutations had a lower DFE correlation than tolerated mutations, indicating a complex joint DFE. Altogether, the DFE correlation can be reliably inferred, and it offers extensive insight into the genetics of population divergence.     

Cumulative effects of spontaneous mutations for fitness in Caenorhabditis: role of genotype, environment and stress

It is often assumed that the mutation rate is an evolutionarily optimized property of a taxon. The relevant mutation rate is for mutations that affect fitness, U, but the strength of selection on the mutation rate depends on the average effect of a mutation. Determination of U is complicated by the possibility that mutational effects depend on the particular environmental context in which the organism exists. It has been suggested that the effects of deleterious mutations are typically magnified in stressful environments, but most studies confound genotype with environment, so it is unclear to what extent environmental specificity of mutations is specific to a particular starting genotype. We report a study designed to separate effects of species, genotype, and environment on the degradation of fitness resulting from new mutations. Mutations accumulated for >200 generations at 20 degrees in two strains of two species of nematodes that differ in thermal sensitivity. Caenorhabditis briggsae and C. elegans have similar demography at 20 degrees, but C. elegans suffers markedly reduced fitness at 25 degrees. We find little evidence that mutational properties differ depending on environmental conditions and mutational correlations between environments are close to those expected if effects were identical in both environments.