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An improved system for selection of forward mutations in an Escherichia coli supF gene carried by plasmids.

An improved system to examine forward mutations that occurred in the supF gene of Escherichia coli carried on a multicopy plasmid is described. The system was validated by measuring spontaneous mutations of supF plasmids propagated in wild-type, recA- and mutM- mutY- E. coli strains, the mutation frequencies of which were 1.3 x 10(-7), 6.3 x 10(-7) and 1.5 x 10(-6), respectively. Sequence analysis of the supF mutant plasmids revealed that G:C-->T:A and G:C-->C:G transversions dominated. This improved system allows rapid scoring and sequencing forward mutations in the supF gene, thus permitting its use as a genetic target for repair and mutagenesis studies in bacteria and mammalian cells.

Escherichia coli↗

Characterization of the interaction domains of Ure2p, a prion-like protein of yeast.

In the yeast Saccharomyces cerevisiae, the non-Mendelian inherited genetic element [URE3] behaves as a prion. A hypothesis has been put forward which states that [URE3] arises spontaneously from its cellular isoform Ure2p (the product of the URE2 gene), and propagates through interactions of the N-terminal domain of the protein, thus leading to its aggregation and loss of function. In the present study, various N- and C-terminal deletion mutants of Ure2p were constructed and their cross-interactions were tested in vitro and in vivo using affinity binding and a two-hybrid analysis. We show that the self-interaction of the protein is mediated by at least two domains, corresponding to the first third of the protein (the so-called prion-forming domain) and the C-terminal catalytic domain.

Catalytic Domain↗

A caution to Native American institutional review boards about scientism and censorship.

Native American Institutional Review Boards (IRBs) promote the health and welfare of tribes by reviewing protocols for research studies that focus on their tribes. The benefits of approved protocols should not be overstated lest good studies disappoint because they do not satisfy unachievable expectations. IRBs also should avoid the temptation to censor the outcomes of those studies. Science relies on candor and clarity about results and methods to move forward.

Clinical Protocols↗

Recent advances in the molecular genetics of malignant melanoma.

The study of the molecular basis for sporadic and inherited melanoma has rapidly moved forward over the past several years. The crucial observation that chromosome 9p21 abnormalities occurred with high frequency in sporadic melanomas, coupled with the molecular demonstration of common 9p21 LOH, led investigators to focus on this region. Examinations of patterns of inherited susceptibility to melanoma established 9p21 as the site of the MLM locus. The localization of the CDK inhibitor CDKN2 to the region enabled the demonstration of its alteration in numerous sporadic solid tumours. Most importantly, the gene has been implicated in the pathogenesis of both inherited and sporadic melanoma. Much work needs to be done to further our understanding of the prevalence of CDKN2 mutations and the prognoses they confer. In addition, continued avenues of investigation are likely to involve further application of this approach to other regions of genomic instability in melanoma, especially chromosomes 1, 6 and 10.

Animals↗

Hereditary hemochromatosis.

In recent years, the number of proteins implicated in iron homeostasis has increased dramatically, and genetic causes have apparently been identified for the major disorders associated with tissue iron overload. These dramatic steps forward have transformed the way we look at iron-related disorders, particularly hemochromatosis. This review presents a concept of this disease that is based on this new knowledge and stems from the idea that, beyond their genetic diversities, all known hemochromatoses originate from the same metabolic error, the genetic disruption of human tendency for circulatory iron constancy. Hepcidin, the iron hormone, seems to hold a central pathogenic place in hemochromatosis, similar to insulin in diabetes: Genetically determined lack of hepcidin synthesis or activity may cause the disease.

Antimicrobial Cationic Peptides↗

Induction of gene mutations and gene conversions by vinyl chloride metabolites in yeast.

Chloroethylene oxide and 2-chloroacetaldehyde, two metabolites of vinyl chloride, and 2-chloroethanol, a putative metabolic intermediate, were assayed for their genetic activity in the yeasts Schizosaccharomyces pombe and Saccharomyces cerevisiae. Chloroethylene oxide was found to be the most effective in inducing forward mutations in Sch. pombe and gene conversions in S. cerevisiae, increasing the mutation and conversion frequencies 340 and 50 times, respectively, over those of the controls. In either the presence or the absence of mouse liver microsomes, 2-chloroacetaldehyde showed only feeble genetic activity, and 2-chloroethanol was completely inactive in both yeast strains. In contrast to vinyl chloride, 2-chloroacetaldehyde did not induce forward mutations in Sch. pombe inthe host-mediated assay in mice. The results strongly support the hypothesis that chloroethylene oxide is one of the principal mutagenic agents formed from vinyl chloride in the presence of mouse liver enzymes.

Acetaldehyde↗

Principles of haplotype mapping and potential applications to attention-deficit/hyperactivity disorder.

Approaches to the study of common, complex genetic disorders like attention-deficit/hyperactivity disorder (ADHD) are evolving rapidly. Traditional linkage and association mapping each have distinct roles to play. Rapid advances in genomic information and technologies make association studies more attractive, including the possibility in the near future of whole genome association scans. This review covers the following broad topics: 1) the principles of linkage and association analyses as they apply to ADHD, and 2) the implications of genome architecture for association studies of complex diseases like ADHD. The structure of linkage disequilibrium is approached through review of the statistical measures of allelic associations and their relationship to observed haplotypes. The patterns of haplotypes across the human genome are discussed, as well as the implications of linkage disequilibrium mapping for association studies in general and ADHD specifically. Finally, the extent to which the allelic architecture of a candidate ADHD gene is publicly available and the web resources to access this information are covered. Today, the wealth of polymorphism data available on the worldwide web enables researchers to focus powerful methodologic tools on candidate genes and regions of interest. Coupling this with larger patient collections and more refined phenotyping will move forward the identification of disease-associated polymorphisms and ultimately the development of genetically based pharmaceuticals and diagnostic tests.

Attention Deficit Disorder with Hyperactivity↗

Applying functional genomics research to the study of pig reproduction.

Functional genomics is an experimental approach that incorporates genome-wide or system-wide experimentation, expanding the scope of biological investigation from studying single genes to studying potentially all genes at once in a systematic manner. This technology is highly appealing because of its high throughput and relatively low cost. Furthermore, analysis of gene expression using microarrays is likely to be more biologically relevant than the conventional paradigm of reductionism, because it has the potential to uncover new biological connections between genes and biochemical pathways. However, functional genomics is still in its infancy, especially with regard to the study of pig reproduction. Currently, efforts are centred on developing the necessary resources to enable high throughput evaluation and comparison of gene expression. However, it is clear that in the near future functional genomics will be applied on a large scale to study the biology and physiology of reproduction in pigs, and to understand better the complex nature of genetic control over polygenic characteristics, such as ovulation rate and litter size. We can look forward to generating a significant amount of new data on differences in gene expression between genotypes, treatments, or at various temporal and spatial coordinates within a variety of reproductively relevant systems. Along with this capability will be the challenge of collating, analysing and interpreting datasets that are orders of magnitude more extensive and complex than those currently used. Furthermore, integration of functional genomics with traditional genetic approaches and with detailed analysis of the proteome and relevant whole animal phenotypes will be required to make full use of this powerful new experimental paradigm as a beneficial research tool.

Animals↗

Developmental cognitive genetics: how psychology can inform genetics and vice versa.

Developmental neuropsychology is concerned with uncovering the underlying basis of developmental disorders such as specific language impairment (SLI), developmental dyslexia, and autistic disorder. Twin and family studies indicate that genetic influences play an important part in the aetiology of all of these disorders, yet progress in identifying genes has been slow. One way forward is to cut loose from conventional clinical criteria for diagnosing disorders and to focus instead on measures of underlying cognitive mechanisms. Psychology can inform genetics by clarifying what the key dimensions are for heritable phenotypes. However, it is not a one-way street. By using genetically informative designs, one can gain insights about causal relationships between different cognitive deficits. For instance, it has been suggested that low-level auditory deficits cause phonological problems in SLI. However, a twin study showed that, although both types of deficit occur in SLI, they have quite different origins, with environmental factors more important for auditory deficit, and genes more important for deficient phonological short-term memory. Another study found that morphosyntactic deficits in SLI are also highly heritable, but have different genetic origins from impairments of phonological short-term memory. A genetic perspective shows that a search for the underlying cause of developmental disorders may be misguided, because they are complex and heterogeneous and are associated with multiple risk factors that only cause serious disability when they occur in combination.

Child↗

Discrete time spatial models arising in genetics, evolutionary game theory, and branching processes.

A saddle point method is used to obtain the speed of first spread of new genotypes in genetic models and of new strategies in game theoretic models. It is also used to obtain the speed of the forward tail of the distribution of farthest spread for branching process models. The technique is applicable to a wide range of models. They include multiple allele and sex-linked models in genetics, multistrategy and bimatrix evolutionary games, and multitype and demographic branching processes. The speed of propagation has been obtained for genetics models (in simple cases only) by Weinberger and Lui, using exact analytical methods. The exact results were obtained only for two-allele, single-locus genetic models. The saddle point method agrees in these very simple cases with the results obtained by using the exact analytic methods. Of course, it can also be used in much more general situations far less tractable to exact analysis. The connection between genetic and game theoretic models is also briefly considered, as is the extent to which the exact analytic methods yield results for simple models in game theory.

Alleles↗

Genetic control of AAF-induced mutagenesis at alternating GC sequences: an additional role for RecA.

In a previous study, the forward mutation spectrum induced by the chemical carcinogen N-acetoxy-N-2-acetylaminofluorene was determined (Koffel-Schwartz et al. 1984). It was found that 90% of the induced mutations are frameshift mutations located within specific sequences (mutation hot spots). Two classes of mutation hot spots were found: (i) -1 frameshift mutations occurring within runs of guanines (i.e. GGGG----GGG; (ii) -2 frameshift mutations occurring within the NarI recognition sequence (GGCGCC----GGCC). In the present work, we further investigate the genetic requirements of these frameshift events by using specific reversion assays. Like UV-induced mutagenesis, frameshift mutations occurring within runs of G's (also referred to as the "slippage pathway") require the activated form of the RecA protein (RecA*). On the other hand, frameshift mutations occurring at the NarI site (the "NarI mutation pathway") require a LexA-controlled function(s) that is not UmuDC. The LexA-controlled gene(s) that is (are) involved in this pathway remain to be identified. Moreover, this pathway does not require RecA* for the proteolytic processing of a protein other than LexA (like the cleavage of UmuD in UV-induced mutagenesis). An "additional" role of RecA can be defined as follows: (i) The non-activated form of the RecA protein acts as an inhibitor in the NarI mutation pathway. (ii) This inhibition is relieved upon activation of RecA by UV irradiation of the bacteria. (iii) A recA deletion mutant is totally proficient in the NarI mutation pathway provided the SOS system is derepressed [lexA (Def) allele]. Therefore, RecA does not actively participate in the fixation of the mutation. A molecular model for this "additional" role of RecA is proposed.

2-Acetylaminofluorene↗

Selection on reaction norms, genetic correlations and constraints.

Two approaches to the evolution of phenotypic plasticity in heterogeneous environments have recently been put forward. The first focuses on selection on the character expression within each environment; plasticity is seen as a by-product of local selection in various habitats. The second approach focuses on selection on the parameters of the response function of genotypes, and selection is thought to change the frequencies of 'plasticity' genes that affect the function. This paper discusses the relationship between the two approaches, with emphasis on applications. A method is described that allows switching from one approach to the other. It is argued that character state and reaction norm approaches, while to a large extent interchangeable, usually differ in the response function chosen. This choice, however, may strongly affect the biological interpretation. The methods outlined in this paper permit one to look at the data from different perspectives in order to avoid this danger.

Animals↗

Role of classical nitroreductase and O-acetyltransferase on the mutagenicity of nifurtimox and eight derivatives in Salmonella typhimurium.

This study investigates the mutagenicity of nifurtimox (NFX) and eight analogues in Salmonella typhimurium indicator strains that possess different levels of classical nitroreductase or O-acetyltransferase activities. The NFX analogues tested replace the 3-methyl-4-yl-tetrahydro-1,4-thiazine-1,1-dioxide group of the parent compound with the following other groups: indazol-1-yl (1G); pyrazol-1-yl (1B); benzimidazol-1-yl (1E); 1,2,4-triazol-4-yl (1D); 1-methyl-3-methylthio-1,2,4-triazol-4-yl-5-thione (1I); 3,5-bis(methylthio)-1,2,4-triazol-4-yl (1H); 1-adamantyl (ADA); and 4,6-diphenylpyridin-1-yl-2-one (1K). In the genetic backgrounds of the standard Ames tester strains TA98 and TA100, these bacteria combine the L-arabinose resistance forward mutation assay (Ara test) with a deficiency or overproduction of either nitroreduction or O-acetylation. The Ara test revealed, in agreement with previous findings, important differences between TA98 and TA100 and demonstrated, moreover, that these genetic differences are of significance in mutagenicity testing with nitrofuran compounds. The Ara test also indicated dissimilarities between the metabolic activation of NFX and its analogues, these compounds being classified in three different groups according to their mutagenicity toward strain BA14 (genetic background of TA98) and its derivatives. The first group included analogues (1G, 1E, 1I, and ADA) that showed similar mutagenic potency in all bacterial strains. These compounds are considered not to be substrates for both classical nitroreductase and O-acetyltransferase. The second group included compounds (analogues 1B and 1K, and the reference drug NFX) with increased mutagenicity toward the strain overproducing the classical nitroreductase, and/or reduced mutagenicity toward the corresponding deficient bacteria. These compounds are considered to be activated by the classical nitroreductase. The third group (analogues 1D and 1H) was activated by bacterial O-acetyltransferase, and consequently showed increased and decreased mutagenicity with the particular overproducer or deficient bacterial strain, as compared to their isogenic parentals. Previous reports have pointed out interest in NFX analogue 1H as a promising candidate for the replacement of NFX. The present study further enhances the putative interest of compound 1H, based on the different metabolic activation pathway exhibited by this analogue as compared to the parental drug, NFX.

Acetyltransferases↗

Contrasting models for lactation curve analysis.

Several statistical models have been proposed for the genetic evaluation of production traits in dairy cattle based on test-day records. Three main approaches have been put forward in the literature: random regression, orthogonal polynomials, and, more recently, character process models. The aim of this paper is to show how these different approaches are related, to compare their performance for the genetic analysis of lactation curves, and to assess equivalence between sire and animal models for repeated measures analyses. It was found that, with an animal model, a character process model with 11 parameters performed better, regarding the likelihood criterion, than a quartic random regression model (with 31 parameters). However, although the likelihood was higher, the genetic variance was very different with the character process model from the unstructured model, which raises important issues concerning model selection criteria. There are advantages in combining methodologies. A quadratic random regression model for the environmental part, combined with a character process model for the residual, performed better than the quartic random regression model and had fewer parameters. A character process structure allowing for a correlation pattern modeled the residual better than a simple quadratic variance, and had only one extra parameter.

Animals↗

Preimplantation genetic diagnosis in Germany - ethical responsibility and law.

Preimplantation diagnosis (PGD) can be judged as early or brought forward prenatal diagnosis and brings up the ethical question in Germany whether potential selection of embryos and intentional killing of a human conceptus, showing a defect not or almost not compatible with life, is reconcilable with human dignity. Whereas prenatal diagnosis and its consequences are socially accepted in Germany, PGD is not compatible with the Embryo Protection Law and is still under debate since >5 years. On the other hand abortion is not subject to prosecution because the legal status of the mother outweighs that of the embryo or fetus. Here the conflict of two legally protected rights - the embryo's worth of protection and the woman's family planning - are accepted and form the basis of the potential decision of the prospective mother to carry the fetus to term or not. An obvious and deep contradiction of assessment is present between the legal requirements for the regulation of abortions in its amendment of 1995 and the Embryo Protection Law which exists unchanged since 1991. The killing of an embryo or fetus in vivo is not subject to prosecution although it is illegal, whereas the discard of an embryo in vitro after PGD was performed, also illegal, is subject to prosecution.

Journal Article↗

Iron overload in porphyria cutanea tarda.

BACKGROUND AND OBJECTIVE: Porphyria cutanea tarda (PCT) is a disorder of porphyrin metabolism associated with decreased activity of uroporphyrinogen decarboxylase (URO-D) in the liver. The relevance of iron in the pathogenesis of PCT is well established: iron overload is one of the factors that trigger the clinical manifestations of the disease and iron depletion remains the cornerstone of therapy for PCT. A role for genetic hemochromatosis in the pathogenesis of iron overload in PCT has been hypothesized in the past but only after the recent identification of the genetic defect causing hemochromatosis has the nature of this association been partially elucidated. This review will outline current concepts of the pathophysiology of iron overload in PCT as well as recent contributions to the molecular epidemiology of hemochromatosis defects in PCT. EVIDENCE AND INFORMATION SOURCES: The authors of the present review have a long-standing interest in the pathogenesis, etiology and epidemiology of iron overload syndromes. Evidence from journal articles covered by the Science Citation Index(R) and Medline(R) has been reviewed and collated with personal data and experience. STATE OF THE ART AND PERPECTIVES: Mild to moderate iron overload plays a key role in the pathogenesis of PCT. The recent identification of genetic mutations of the hemochromatosis gene (HFE) in the majority of patients with PCT confirms previous hypotheses on the association between PCT and hemochromatosis, allows a step forward in the understanding of the pathophysiology of the disturbance of iron metabolism in the liver of PCT patients, and provides an easily detectable genetic marker which could have a useful clinical application. Besides the epidemiological relevance of the association between PCT and hemochromatosis, however, it remains to be fully understood how iron overload, and in particular the cellular modifications of the iron status secondary to hemochromatosis mutations, affect the activity of URO-D, and how the altered iron metabolism interacts with the other two common triggers for PCT and etiological agents for the associated liver disease: alcohol and hepatitis viruses. The availability of a genetic marker for hemochromatosis will allow some of these issues to be addressed by studying aspects of porphyrins and iron metabolism in liver samples obtained from patients with PCT, liver disease of different etiology and different HFE genotypes, and by in vitro studies on genotyped cells and tissues.

DNA Mutational Analysis↗

Bioinformatics: towards new directions for public health.

OBJECTIVES: Epidemiologists are reformulating their classical approaches to diseases by considering various issues associated to "omics" areas and technologies. Traditional differences between epidemiology and genetics include background, training, terminologies, study designs and others. Public health and epidemiology are increasingly looking forward to using methodologies and informatics tools, facilitated by the Bioinformatics community, for managing genomic information. Our aim is to describe which are the most important implications related with the increasing use of genomic information for public health practice, research and education. To review the contribution of bioinformatics to these issues, in terms of providing the methods and tools needed for processing genetic information from pathogens and patients. To analyze the research challenges in biomedical informatics related with the need of integration of clinical, environmental and genetic data and the new scenarios arisen in public health. METHODS: Review of the literature, Internet resources and material and reports generated by internal and external research projects. RESULTS: New developments are needed to advance in the study of the interactions between environmental agents and genetic factors involved in the development of diseases. The use of biomarkers, biobanks, and integrated genomic/clinical databases poses serious challenges for informaticians in order to extract useful information and knowledge for public health, biomedical research and healthcare. CONCLUSIONS: From an informatics perspective, integrated medical/biological ontologies and new semantic-based models for managing information provide new challenges for research in areas such as genetic epidemiology and the "omics" disciplines, among others. In this regard, there are various ethical, privacy, informed consent and social implications, that should be carefully addressed by researchers, practitioners and policy makers.

Computational Biology↗

Analysis of multilocus models of association.

It is increasingly recognized that multiple genetic variants, within the same or different genes, combine to affect liability for many common diseases. Indeed, the variants may interact among themselves and with environmental factors. Thus realistic genetic/statistical models can include an extremely large number of parameters, and it is by no means obvious how to find the variants contributing to liability. For models of multiple candidate genes and their interactions, we prove that statistical inference can be based on controlling the false discovery rate (FDR), which is defined as the expected number of false rejections divided by the number of rejections. Controlling the FDR automatically controls the overall error rate in the special case that all the null hypotheses are true. So do more standard methods such as Bonferroni correction. However, when some null hypotheses are false, the goals of Bonferroni and FDR differ, and FDR will have better power. Model selection procedures, such as forward stepwise regression, are often used to choose important predictors for complex models. By analysis of simulations of such models, we compare a computationally efficient form of forward stepwise regression against the FDR methods. We show that model selection includes numerous genetic variants having no impact on the trait, whereas FDR maintains a false-positive rate very close to the nominal rate. With good control over false positives and better power than Bonferroni, the FDR-based methods we introduce present a viable means of evaluating complex, multivariate genetic models. Naturally, as for any method seeking to explore complex genetic models, the power of the methods is limited by sample size and model complexity.

Chromosome Mapping↗