Coming to Grips with Evolvability

To explain the evolution of complex organisms by random mutation, drift, and selection is not a trivial task. This becomes obvious if we imagine an organism in which most genes affect most traits and all mutations are immediately expressed in the phenotype. Most of the mutations will be deleterious. Computer programmers experienced a similar problem when trying to evolve computer programs by introducing random changes to a conventional computer code, realizing that almost all random changes are “lethal.” Everyone who has done any programming knows that conventional computer languages are very brittle! Real organisms are not organized in this way but rather involve mediation between the genes and the phenotypic traits, namely development, also sometimes called the genotype–phenotype map. This map of genetic effects is structured in a way that enables evolvability, that is, enhances the probability that mutations will improve the performance of the organism. Here we outline two properties of organismal development, namely modularity and robustness. Modularity refers to the situation in which genes affect a restricted number of functionally related phenotypic characters. Robustness describes a situation in which cryptic mutations can accumulate without effect on fitness but can become visible to selection in a new environment or genetic background. We discuss recent empirical evidence in support of both phenomena and their effect on evolvability and also briefly address their evolution.     

New findings showing how DNA methylation influences diseases

In 1975, Holliday and Pugh as well as Riggs independently hypothesized that DNA methylation in eukaryotes could act as a hereditary regulation mechanism that influences gene expression and cell differentiation. Interest in the study of epigenetic processes has been inspired by their reversibility as well as their potentially preventable or treatable consequences. Recently, we have begun to understand that the features of DNA methylation are not the same for all cells.Major differences have been found between differentiated cells and stem cells.Methylation influences various pathologies, and it is very important to improve the understanding of the pathogenic mechanisms. Epigenetic modifications may take place throughout life and have been related to cancer, brain aging, memory disturbances, changes in synaptic plasticity, and neurodegenerative diseases,such as Parkinson's disease and Huntington's disease. DNA methylation also has a very important role in tumor biology. Many oncogenes are activated by mutations in carcinogenesis. However, many genes with tumor-suppressor functions are "silenced" by the methylation of CpG sites in some of their regions.Moreover, the role of epigenetic alterations has been demonstrated in neurological diseases. In neuronal precursors, many genes associated with development and differentiation are silenced by CpG methylation. In addition,recent studies show that DNA methylation can also influence diseases that do not appear to be related to the environment, such as IgA nephropathy, thus affecting,the expression of some genes involved in the T-cell receptor signaling. In conclusion, DNA methylation provides a whole series of fundamental information for the cell to regulate gene expression, including how and when the genes are read, and it does not depend on the DNA sequence.     

Role of induced genetic instability in the mutagenic effects of chemicals and radiation

Recent studies have demonstrated that cells exposed to ionizing radiation or alkylating agents can develop prolonged genetic instability. Induced genetic instability is manisested in multiple ways, including delayed reproductive death, an increased rate of point mutations, and an increased rate of chromosome rearrangements. In many respects these changes are similar to the genetic instability associated with cancer and some human genetic diseases. Therefore, as with cancer cells, multiple mechanisms may be involved, some occuring in the early stages and some in the later stages. The high percentage of cells that develop induced genetic instability after exposure to stress, and the prolonged period over which the instability occurs, indicates that the instability is not in response to residual damage in the DNA or mutations in specific genes. Instead, changes affecting most of the exposed cells, such as epigenetic alterations in gene expression or chain reactions of chromosome rearrangements, are a more likely explanation. Learning more about the mechanisms involved in this process is essential for understanding the consequences of exposure of cells to ionizing radiation or alkylating agents.     

Epigenetic drivers and genetic passengers on the road to cancer

Cancer is traditionally viewed as a primarily genetic disorder, however it is now becoming accepted that cancer is also a consequence of abnormal epigenetic events. Genetic changes and aneuploidy are associated with alterations in DNA sequence, and they are a hallmark of the malignant process. Epigenetic alterations are universally present in human cancer and result in heritable changes in gene expression and chromatin structure over many cell generations without changes in DNA sequence, leading to functional consequences equivalent to those induced by genetic alterations. Importantly, intriguing evidence emerged suggesting that epigenetic changes may precede and provoke genetic changes. In this scenario, epigenetic events are primary events while genetic changes (such as mutations) may simply be a consequence of disrupted epigenetic states. This fact may explain why many genetic screens proved to be limited with regard to cancer causality and pathogenesis. Aberrant epigenetic events affect multiple genes and cellular pathways in a non-random fashion and this can predispose to induction and accumulation of genetic changes in the course of tumour initiation and progression. These considerations are critical for a better understanding of tumourigenesis and molecular events underlying the acquisition of drug resistance, as well as development of novel strategies for cancer therapy and prevention.     

Evolution of global regulatory networks during a long-term experiment with Escherichia coli

Evolution has shaped all living organisms on Earth, although many details of this process are shrouded in time. However, it is possible to see, with one's own eyes, evolution as it happens by performing experiments in defined laboratory conditions with microbes that have suitably fast generations. The longest-running microbial evolution experiment was started in 1988, at which time twelve populations were founded by the same strain of Escherichia coli. Since then, the populations have been serially propagated and have evolved for tens of thousands of generations in the same environment. The populations show numerous parallel phenotypic changes, and such parallelism is a hallmark of adaptive evolution. Many genetic targets of natural selection have been identified, revealing a high level of genetic parallelism as well. Beneficial mutations affect all levels of gene regulation in the cells including individual genes and operons all the way to global regulatory networks. Of particular interest, two highly interconnected networks -- governing DNA superhelicity and the stringent response -- have been demonstrated to be deeply involved in the phenotypic and genetic adaptation of these experimental populations.     

Approaches to site-directed DNA integration based on transposases and retroviral integrases

The ability of retroviruses and transposons to insert their genome into the host cell makes them attractive objects for constructing gene therapy vectors. However, enzymes that insert genetic material do not possess any selectivity relative to target nucleotide sequences, which results in almost random DNA insertion into the recipient cell genome. This leads to mutations that in turn may cause certain undesirable consequences and sometimes neoplastic cell transformation. For successful functioning, it is a primary necessity to modify a retrovirus and transposon based genetic therapy systems in such a way that the directed vector integration into a target sequence in the human genome can be achieved. In this review, the approaches to date that have been developed for highly specific modification of the genome using fusion protein construction based on retroviral integrases and transposases are discussed, as well as cellular factors interacting with these enzymes.     

Immunoglobulin molecular genetics: the prospects for mutational analysis of the chromosomal immunoglobulin genes

Homologous recombination between transferred and chromosomal DNA can be used to effect precise, predetermined modifications of the chromosomal genes. Ultimately this phenomenon should allow the assessment of genetic regulatory elements as they function in the normal chromosomal environment. We have previously described a system for isolating mutant hybridoma cells that are defective in immunoglobulin (Ig) production, with a view toward using these mutants to define cis-acting elements that influence Ig gene expression. Here we describe results that indicate that homologous recombination between transferred and chromosomal Ig genes can be used to map Ig mutations by marker rescue.     

Prevalent mutations in prostate cancer

Quantitative and structural genetic alterations cause the development and progression of prostate cancer. A number of genes have been implicated in prostate cancer by genetic alterations and functional consequences of the genetic alterations. These include the ELAC2 (HPC2), MSR1, and RNASEL (HPC1) genes that have germline mutations in familial prostate cancer; AR, ATBF1, EPHB2 (ERK), KLF6, mitochondria DNA, p53, PTEN, and RAS that have somatic mutations in sporadic prostate cancer; AR, BRCA1, BRCA2, CHEK2 (RAD53), CYP17, CYP1B1, CYP3A4, GSTM1, GSTP1, GSTT1, PON1, SRD5A2, and VDR that have germline genetic variants associated with either hereditary and/or sporadic prostate cancer; and ANXA7 (ANX7), KLF5, NKX3-1 (NKX3.1), CDKN1B (p27), and MYC that have genomic copy number changes affecting gene function. More genes relevant to prostate cancer remain to be identified in each of these gene groups. For the genes that have been identified, most need additional genetic, functional, and/or biochemical examination. Identification and characterization of these genes will be a key step for improving the detection and treatment of prostate cancer.     

Long-term experimental evolution in Escherichia coli. XII. DNA topology as a key target of selection

The genetic bases of adaptation are being investigated in 12 populations of Escherichia coli, founded from a common ancestor and serially propagated for 20,000 generations, during which time they achieved substantial fitness gains. Each day, populations alternated between active growth and nutrient exhaustion. DNA supercoiling in bacteria is influenced by nutritional state, and DNA topology helps coordinate the overall pattern of gene expression in response to environmental changes. We therefore examined whether the genetic controls over supercoiling might have changed during the evolution experiment. Parallel changes in topology occurred in most populations, with the level of DNA supercoiling increasing, usually in the first 2000 generations. Two mutations in the topA and fis genes that control supercoiling were discovered in a population that served as the focus for further investigation. Moving the mutations, alone and in combination, into the ancestral background had an additive effect on supercoiling, and together they reproduced the net change in DNA topology observed in this population. Moreover, both mutations were beneficial in competition experiments. Clonal interference involving other beneficial DNA topology mutations was also detected. These findings define a new class of fitness-enhancing mutations and indicate that the control of DNA supercoiling can be a key target of selection in evolving bacterial populations.     

Evolutionary dynamics and significance of multiple subclonal mutations in cancer

For the last 40 years the authors have collaborated on trying to understand the complexities of human cancer by formulating testable mathematical models that are based on mutation accumulation in human malignancies. We summarize the concepts encompassed by multiple mutations in human cancers in the context of source, accumulation during carcinogenesis and tumor progression, and therapeutic consequences. We conclude that the efficacious treatment of human cancer by targeted therapy will involve individualized, uniquely directed specific agents singly and in simultaneous combinations, and take into account the importance of targeting resistant subclonal mutations, particularly those subclones with alterations in DNA repair genes, DNA polymerase, and other genes required to maintain genetic stability.     

The consequences of base-pair substitution mutations in AT- and GC-rich bacteria

The likely consequences, in terms of premature stop codons, detectable missense mutants, silent missense mutants, and degenerate codon changes, have been determined for all 12 individual base substitution changes. This has been done for the full, 61 sense codon, genetic code and also for the much more limited codon availabilities of AT- or GC-rich DNA. The specificities and outcomes of individual base substitutions are likely to be rather different at AT- or GC-rich extremes, and also from the situation at an intermediate DNA base-ratio where all 61 sense codons are available. In particular, at DNA base-ratio extremes many mutations will be to non-utilized codons, which may well act as nonsense mutants. These in turn will give novel classes of suppressor-containing revertants. Even in bacteria with intermediate DNA base-ratios, particular codons for a given amino acid may be favoured, over alternatives, because their use maximizes, or minimizes, the mutational consequences of one, or more, base substitution changes.     

Ionizing radiation and genetic risks. X. The potential "disease phenotypes" of radiation-induced genetic damage in humans: perspectives from human molecular biology and radiation genetics.

Estimates of genetic risks of radiation exposure of humans are traditionally expressed as expected increases in the frequencies of genetic diseases (single-gene, chromosomal and multifactorial) over and above those of naturally-occurring ones in the population. An important assumption in expressing risks in this manner is that gonadal radiation exposures can cause an increase in the frequency of mutations and that this would result in an increase in the frequency of genetic diseases under study. However, despite compelling evidence for radiation-induced mutations in experimental systems, no increases in the frequencies of genetic diseases of concern or other adverse effects (i.e., those which are not formally classified as genetic diseases), have been found in human studies involving parents who have sustained radiation exposures. The known differences between spontaneous mutations that underlie naturally-occurring single-gene diseases and radiation-induced mutations studied in experimental systems now permit us to address and resolve these issues to some extent. The fact that spontaneous mutations (among which are point mutations and DNA deletions generally restricted to the gene) originate through a number of different mechanisms and that the latter are intimately related to the DNA organization of the genes, are now well-documented. Further, spontaneous mutations include those that cause diseases through loss of function as well as gain of function of genes. In contrast, most radiation-induced mutations studied in experimental systems (although identified through the phenotypes of the marker genes) are predominantly multigene deletions which cause loss of function; the recoverability of an induced deletion in a livebirth seems dependent on whether the gene and the genomic region in which it is located can tolerate heterozygosity for the deletion and yet be compatible with viability. In retrospect, the successful mutation test systems (such as the mouse specific locus test) used in radiation studies have involved genes which are non-essential for survival and are also located in genomic regions, likewise non-essential for survival. In contrast, most of the human genes at which induced mutations have been looked for, do not seem to have these attributes. The inference therefore is that the failure to find induced germline mutations in humans is not due to the resistance of human genes to induced mutations but due to the structural and functional constraints associated with their recoverability in livebirths. Since the risk of inducible genetic diseases in humans is estimated using rates of "recovered" mutations in mice, there is a need to introduce appropriate correction factors to bridge the gap between these rates and the rates at which mutations causing diseases are potentially recoverable in humans. Since the whole genome is the "target" for radiation-induced genetic damage, the failure to find increases in the frequencies of specific single-gene diseases of societal concern does not imply that there are no genetic risks of radiation exposures: the problem lies in delineating the phenotypes of recoverable genetic damage that are recognizable in livebirths. Data from studies of naturally-occurring microdeletion syndromes in humans and those from mouse radiation studies are instructive in this regard. They (i) support the view that growth retardation, mental retardation and multisystem developmental abnormalities are likely to be among the quantitatively more important adverse effects of radiation-induced genetic damage than mutations in a few selected genes and (ii) underscore the need to expand the focus in risk estimation from known genetic diseases (as has been the case thus far) to include these induced adverse developmental effects although most of these are not formally classified as "genetic diseases". (ABSTRACT TRUNCATED)     

Ecological and evolutionary opportunities of apomixis: insights from Taraxacum and Chondrilla

The ecological and evolutionary opportunities of apomixis in the short and the long term are considered, based on two closely related apomictic genera: Taraxacum (dandelion) and Chondrilla (skeleton weed). In both genera apomicts have a wider geographical distribution than sexuals, illustrating the short-term ecological success of apomixis. Allozymes and DNA markers indicate that apomictic populations are highly polyclonal. In Taraxacum, clonal diversity can be generated by rare hybridization between sexuals and apomicts, the latter acting as pollen donors. Less extensive clonal diversity is generated by mutations within clonal lineages. Clonal diversity may be maintained by frequency-dependent selection, caused by biological interactions (e.g. competitors and pathogens). Some clones are geographically widespread and probably represent phenotypically plastic 'general-purpose genotypes'. The long-term evolutionary success of apomictic clones may be limited by lack of adaptive potential and the accumulation of deleterious mutations. Although apomictic clones may be considered as 'evolutionary dead ends', the genes controlling apomixis can escape from degeneration and extinction via pollen in crosses between sexuals and apomicts. In this way, apomixis genes are transferred to a new genetic background, potentially adaptive and cleansed from linked deleterious mutations. Consequently, apomixis genes can be much older than the clones they are currently contained in. The close phylogenetic relationship between Taraxacum and Chondrilla and the similarity of their apomixis mechanisms suggest that apomixis in these two genera could be of common ancestry.     

Familiäre Leukämien

Leukemias and other hematological neoplasias are frequently observed in association with different genetic disorders, such as DNA repair deficiency syndromes, tumor predisposition syndromes, immunodeficiency syndromes, familial cancer syndromes and bone marrow failure syndromes, as well as in connection with several constitutional chromosomal anomalies. Recently, in families with increased leukemia incidence, constitutional mutations have been identified in genes that are also affected by somatic mutations in sporadic leukemias. In addition to these high penetrance mutations, gene alterations with low penetrance and polymorphisms seem to predispose to leukemia and/or modify the clinical course of the disease. Predisposing and modifying polymorphisms can be found in genes involved in cell proliferation, apoptosis, DNA repair, detoxification, etc. The novel findings on constitutional genetic alterations predisposing to leukemia start to close the gap between inborn and acquired genetic diseases.     

Investigating sex-biased migration during the Neolithic transition in Europe, using an explicit spatial simulation framework

Cultural practices can deeply influence genetic diversity patterns. The Neolithic transitions that took place at different times and locations around the world led to major cultural and demographic changes that influenced and therefore left their marks on human genetic diversity patterns. Several studies on the European Neolithic transition suggest that mitochondrial DNA (mtDNA) and Y-chromosome data can exhibit different patterns, which could be owing to different demographic histories for females and males. Archaeological and anthropological data suggest that the transition from hunter-gatherers (HGs) to farmers' societies is probably associated with changes in social organization, particularly in post-marital residence (PMR) rules (i.e. patrilocality, matrilocality or bilocality). The movements of humans and genes associated with these rules can be seen as sex-biased short-range migrations. We developed a new individual-based simulation approach to explore the genetic consequences of 45 different scenarios, where we varied the patterns of PMR and admixture between HGs and farmers. We recorded mtDNA and Y-chromosome data and analysed their diversity patterns within and between populations, through time and space. We also collected published mtDNA and Y-chromosome data from European and Near-Eastern populations in order to identify the scenarios that would best explain them. We show that: (i) different PMR systems can lead to different patterns of genetic diversity and differentiation, (ii) asymmetries between mtDNA and Y-chromosome can be owing to different behaviours between males and females, but also to different mutations rates, and (iii) patrilocality in farmers explains the present patterns of genetic diversity better than matrilocality or bilocality. Moreover, we found that (iv) the genetic diversity of farmers change depending on the HGs PMR rules even though they are assumed to disappear more than 5000 years ago in our simulations.     

Systems biology and the heart

Understanding the logic of living systems requires knowledge of the mechanisms involved at the levels at which functionality is expressed. This information does not reside in the genome, nor even in the individual proteins that genes code for. No functionality is expressed at these levels. It emerges as the result of interactions between many proteins relating to each other in multiple cascades and in interaction with the cellular environment. There is, therefore, no alternative to copying nature and computing these interactions to determine the logic of healthy and diseased states. The rapid growth in biological databases, models of cells, tissues and organs and the development of powerful computing hardware and algorithms have made it possible to explore functionality in a quantitative manner all the way from the level of genes to the physiological function of whole organs and regulatory systems. I use models of the heart to demonstrate that we can now go all the way from individual genetic information (on mutations, for example) to exploring the consequences at a whole organ level.