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Caenorhabditis elegans as a simple model to study phenotypic and genetic virulence determinants of extraintestinal pathogenic Escherichia coli.

Extraintestinal pathogenic Escherichia coli (ExPEC) strains cause disease by invading normally sterile niches within the host body, e.g., urinary tract, blood and cerebrospinal fluid. Infections due to ExPEC strains, in particular urinary tract infections, cause considerable morbidity and significant health-care costs. The goal of our study is to evaluate whether Caenorhabditis elegans can be used as a model to study phenotypic and genetic virulence determinants of ExPEC strains. For this purpose, we used a collection of 31 E. coli strains isolated during acute extra-intestinal infections or from the feces of healthy individuals. For all strains, the phylogeny, the presence of ExPEC virulence factors, the resistance to biologically relevant stressors (bile, human serum and lysozyme), the motility, the growth rate, the virulence in C. elegans and in a murine septicaemia model has been established. The results show that there is a strong link between virulence in C. elegans and certain phenotypic and genetic virulence predictors of ExPEC strains determinable in vitro. Furthermore, there is a significant correlation between virulence of different ExPEC strains in C. elegans and in the murine model. Therefore, our results suggest that C. elegans can be used as a model to study virulence determinants of ExPEC strains.

Animals↗

Model system for phenotypic characterization of sequence variations in the LDL receptor gene.

BACKGROUND: Sequence variations in the LDL receptor (LDLR) gene cause defects of LDLR protein production and function through different molecular mechanisms. Here we describe a cell model system for the phenotypic characterization of sequence variations in the LDLR gene. Well-known sequence variations belonging to LDLR classes 2 to 5 (p.G565V, p.I161D, p.Y828C, and p.V429M) were studied in CHO and HepG2 cells. METHODS: Expression of LDLR protein on the cell surface was detected by use of fluorescence-conjugated antibodies against the LDLR and the LDLR activity was measured by incubating the cells with fluorescently labeled and radiolabeled LDL. The intracellular locations of the LDLR mutants and wild-type were also investigated. RESULTS: The class 2A p.G565V sequence variant exhibited an intracellular distribution of LDLR with no active receptors on the cell surface. Both the class 3 p.I161D and class 4 p.Y828C sequence variants gave surface staining but had a reduced ability to bind or internalize LDL, respectively. By determining the intracellular locations of the receptors we were able to visualize the accumulation of the class 5 p.V429M sequence variant in endosomes by means of a specific marker, as well as confirming that the class 4 p.Y828C variant was not localized in clathrin-coated pits. Flow cytometry allowed us quantitatively to determine the amount and activity of receptors. To confirm the results of binding and cell association of fluorescently labeled LDL analyzed by flow cytometry, assays using 125I-labeled LDL were performed. In addition to a useful and valid alternative to radiolabeled LDL, the unique properties of fluorescently labeled LDL allowed a variety of detection technologies to be used. CONCLUSIONS: This new approach enables phenotypic characterization of sequence variations in the LDLR gene. The assays developed may be valuable for confirming the pathogenicity of novel missense sequence variations found throughout the LDLR gene.

Animals↗

A general multivariate extension of Fisher's geometrical model and the distribution of mutation fitness effects across species.

The evolution of complex organisms is a puzzle for evolutionary theory because beneficial mutations should be less frequent in complex organisms, an effect termed "cost of complexity." However, little is known about how the distribution of mutation fitness effects (f(s)) varies across genomes. The main theoretical framework to address this issue is Fisher's geometric model and related phenotypic landscape models. However, it suffers from several restrictive assumptions. In this paper, we intend to show how several of these limitations may be overcome. We then propose a model of f(s) that extends Fisher's model to account for arbitrary mutational and selective interactions among n traits. We show that these interactions result in f(s) that would be predicted by a much smaller number of independent traits. We test our predictions by comparing empirical f(s) across species of various gene numbers as a surrogate to complexity. This survey reveals, as predicted, that mutations tend to be more deleterious, less variable, and less skewed in higher organisms. However, only limited difference in the shape of f(s) is observed from Escherichia coli to nematodes or fruit flies, a pattern consistent with a model of random phenotypic interactions across many traits. Overall, these results suggest that there may be a cost to phenotypic complexity although much weaker than previously suggested by earlier theoretical works. More generally, the model seems to qualitatively capture and possibly explain the variation of f(s) from lower to higher organisms, which opens a large array of potential applications in evolutionary genetics.

Animals↗

Male sex aggravates the phenotype in mouse models of hypertrophic cardiomyopathy.

The authors have created transgenic mouse models of hypertrophic cardiomyopathy with mutations in either cardiac troponin T or myosin heavy chain. Mice mutant in myosin heavy chain develop significant cardiac hypertrophy at young adult age. Female mice keep that hypertrophic state, whereas male mice undergo progressive dilatation and exhibit systolic dysfunction at older age. Mice mutant in troponin, however, exhibit no baseline hypertrophy. When put under chronic adrenergic stress, all male mice die suddenly, whereas female mice show no mortality. These examples highlight the aggravated phenotype in male mice modeling hypertrophic cardiomyopathy and are a starting point to new mechanistic experiments.

Animals↗

Using simultaneous equation modeling for defining complex phenotypes.

BACKGROUND: Interactions between multiple biological phenotypes are difficult to model. Simultaneous equation modelling (SEM), as used in econometric modelling, may prove an effective tool for this problem. Generalized linear models were used to derive the structural equations defining the interactions between cholesterol, glucose, triglycerides and high-density lipoprotein cholesterol (HDL-C). These structural equations were then applied, using SEM, to Cohort 2 data (replicates 1-100) to estimate the phenotypic structure underlying the simulation. The goal was to determine if this empiric method of deriving structural equations for use in SEM was able to recover the simulation model better than generalized linear models. RESULTS: First, the underlying structural equations were estimated using generalized linear model techniques, which found strong a relationship between glucose, triglycerides and HDL-C. Using these structural equations, I used SEM to evaluate these relationships jointly. I found that a combination of the empiric structural equations and the SEM method was better at recovering the underlying simulated relationship between biologic measures than generalized linear modelling. CONCLUSION: The empiric SEM procedure presented here estimated different relationships between dependent variables than generalized linear modelling. The SEM procedure using empirically developed structural equations was able to recover the underlying simulation relationship partially and thus holds promise as a technique for complex phenotype analysis. Robust methods for determining the structural equations must be developed for application of SEM to population data.

Cardiovascular Diseases↗

In utero angiopoietin-2 gene delivery remodels placental blood vessel phenotype: a murine model for studying placental angiogenesis.

Angiopoietin (Ang)-2, the natural antagonist of the Ang1/Tie2 receptor is a complex regulator of blood vessel plasticity that plays a pivotal role in both vessel sprouting [in the presence of vascular endothelial growth factor (VEGF)-A] and vessel regression (in the absence of VEGF-A). Based on the spatial and temporal expression of Ang2 throughout human gestation, we recently suggested that the Ang2 may play a pivotal role in placental angiogenesis. Further, to examine this tenet we have developed a novel murine model system in which in utero Ang2 gene delivery via a non-replicating adenoviral expression vector has the potential to manipulate the blood vessel phenotype in vivo during pregnancy. Ang2 overexpression selectively and rapidly remodels the labyrinth perivascular extracellular matrix, subsequently promoting plasticity of the maternal and fetal vessels, which appear honeycombed due to a 2-fold increase in blood vessel luminal area. High levels of Ang2 impair endothelial cell adhesiveness, leading to vascular leakiness with perivascular oedema, which increases placental weight. These observations suggest that the Ang2 overexpression may play a key role in placental vascular remodelling. Furthermore, we suggest a novel new model to study the pathobiology of placental vascularization and the effect of placental blood vessels on fetal phenotype.

Angiopoietin-2↗

Neuroprotective effect of taurine in 3-nitropropionic acid-induced experimental animal model of Huntington's disease phenotype.

An experimental animal model of Huntington's disease (HD) phenotype was induced using the mycotoxin 3-nitropropionic acid (3-NP) and was well characterized behaviorally, neurochemically, morphometrically and histologically. Administration of 3-NP caused a reduction in prepulse inhibition (PPI) of acoustic startle response, locomotor hyper- and/or hypoactivity, bilateral striatal lesions, brain oxidative stress, and decreased striatal gamma-aminobutyric acid (GABA) levels. Taurine is a semi-essential beta-amino acid that was demonstrated to have both antioxidant and GABA-A agonistic activity. In this study, treatment with taurine (200 mg/kg daily for 3 days) prior to 3-NP administration reversed both reduced PPI response and locomotor hypoactivity caused by 3-NP injection. Taurine pretreatment also caused about 2-fold increase in GABA concentration compared to 3-NP-treated animals. In addition, taurine demonstrated antioxidant activity against oxidative stress induced by 3-NP administration as evidenced by the reduced striatal malondialdehyde (MDA) and elevated striatal glutathione (GSH) levels. Histochemical examination of striatal tissue showed that prior administration of taurine ahead of 3-NP challenge significantly increased succinate dehydrogenase (SDH) activity compared to 3-NP-treated animals. Histopathological examination further affirmed the neuroprotective effect of taurine in 3-NP-induced HD in rats. Taken together, one may conclude that taurine has neuroprotective role in the current HD paradigm due, at least partly, to its indirect antioxidant effect and GABA agonistic action.

Animals↗

The marsupial model for male phenotypic development.

In all mammals, androgen formed in the developing testes is responsible for the aspects of male development in which the Wolffian ducts, urogenital sinus and urogenital tubercle are transformed into the epididymis/vas deferens, prostate and penis. That these events take place after birth in the marsupial makes it possible to examine male phenotypic development during pouch life. In the tammar wallaby, Macropus eugenii, the testicular androgen 5 alpha-androstane-3 alpha,17 beta-diol (5 alpha-adiol) is formed in the developing testis, is secreted into plasma and has the capacity to virilize female young pouch when administered exogenously. 5 alpha-Adiol is formed by immature testes in many species and appears to act in target tissues once it has been converted to dihydrotestosterone.

Animals↗

Heliconius wing patterns: an evo-devo model for understanding phenotypic diversity.

Evolutionary Developmental Biology aims for a mechanistic understanding of phenotypic diversity, and present knowledge is largely based on gene expression and interaction patterns from a small number of well-known model organisms. However, our understanding of biological diversification depends on our ability to pinpoint the causes of natural variation at a micro-evolutionary level, and therefore requires the isolation of genetic and developmental variation in a controlled genetic background. The colour patterns of Heliconius butterflies (Nymphalidae: Heliconiinae) provide a rich suite of naturally occurring variants with striking phenotypic diversity and multiple taxonomic levels of variation. Diversification in the genus is well known for its dramatic colour-pattern divergence between races or closely related species, and for Müllerian mimicry convergence between distantly related species, providing a unique system to study the development basis of colour-pattern evolution. A long history of genetic studies has showed that pattern variation is based on allelic combinations at a surprisingly small number of loci, and recent developmental evidence suggests that pattern development in Heliconius is different from the eyespot determination of other butterflies. Fine-scale genetic mapping studies have shown that a shared toolkit of genes is used to produce both convergent and divergent phenotypes. These exciting results and the development of new genomic resources make Heliconius a very promising evo-devo model for the study of adaptive change.

Animals↗

Rhodopsin mutations as the cause of retinal degeneration. Classification of degeneration phenotypes in the model system Drosophila melanogaster.

Insight into the molecular basis of inherited photoreceptor cell degeneration has been rapidly evolving during the last decade. The Drosophila Rh1 rhodopsin gene was the first gene shown to cause retinal degeneration when mutated. Many more degeneration-causing mutations in genes encoding rhodopsin and other photoreceptor proteins have been isolated since then in both, Drosophila and humans. To date some 70 mutations of the Drosophila Rh1 gene have been isolated, most of them have been characterized at the molecular level, and more than 60% of them cause retinal degeneration. This review lists the known Rh1 mutations that cause retinal degeneration up to April 1998, gives an overview on the ultrastructural and biochemical correlates of photoreceptor cell degeneration, and suggests a system for the classification of degeneration-causing Rh1 mutations.

Amino Acid Sequence↗

Alternative strategies in muscle genotype and phenotype studies. A model of intrafusal muscle fibre type differentiation.

The development and regeneration of muscle fibres start from myoblasts of embryos or adult animals. The resulting phenotype is a combination of genetically fixed properties of myoblast cell lineages and of extrinsic, primarily neurogenic factors. Intrafusal fibre types of muscle spindles differ from each other and from extrafusal fibres by their ultrastructure, by the presence of both sensory and motor innervation, and by the content of specific myosin heavy chain (MHC) isoforms. Differentiation of these distinctions depends on the morphogenetic influence of primary afferent neurones. It is, however, not known, whether the intrafusal phenotype can be induced in any myotube regardless of its cell line origin or only in a special predetermined intrafusal lineage(s) committed to differentiate into intrafusal muscle fibres. The aim of our studies was to define the contribution of intrinsic myogenic properties of muscle cell lineage and extrinsic neurogenic factors by the sensory and the motor innervation on the differentiation of intrafusal phenotypes using ultrastructural analysis and immunocytochemical determination of MHCs under various experimental conditions. The presented minireview is based on the results of our previous findings, and preliminary experiments indicate that new important results may be obtained in studies of myogenesis and muscle regeneration.

Animals↗

Activation of beta-catenin during hepatocarcinogenesis in transgenic mouse models: relationship to phenotype and tumor grade.

Mutations affecting phosphorylation sites in the beta-catenin gene have been implicated in the development of human and rodent hepatocellular carcinomas (HCCs). To further investigate the involvement of this gene in hepatocarcinogenesis, we used several transgenic mouse models of hepatic tumors induced by overexpression of c-myc in the liver either alone or in combination with transforming growth factor (TGF) alpha or TGF-beta1. Activation of beta-catenin, as judged by the presence of mutations and/or nuclear translocation of the protein, was most frequent in liver tumors from c-myc (4/17; 23.5%) and c-myc/TGF-beta1 (6/18; 33.3%) transgenic mice. However, it was very rare in faster growing and histologically more aggressive HCCs developed in c-myc/TGF-alpha mice (1/20; 5%). Administration of diethylnitrosamine, phenobarbital, or 2-amino-3,8-diethylimidazo[4,5-f]quinoxaline did not significantly affect the occurrence of beta-catenin mutations. Notably, nuclear accumulation of beta-catenin was observed only in adenomas and highly differentiated carcinomas with eosinophilic phenotype. Furthermore, preneoplastic lesions with eosinophilic phenotype frequently displayed focal nuclear positivity, colocalized with areas of high proliferation. In contrast, basophilic and clear-cell foci, as well as pseudo-glandular and poorly differentiated HCCs, exhibited a normal or reduced membranous immunoreactivity for beta-catenin. These studies suggest that nuclear translocation of beta-catenin and activation of Wingless/Wnt signaling may represent an early event in liver carcinogenesis, providing a growth advantage in a subset of hepatic tumors with a more differentiated phenotype.

Animals↗

Semiparametric maximum likelihood variance component estimation using mixture moment structure models.

Nonnormal phenotypic distributions introduce significant problems in the estimation and selection of genetic models. Here, a semiparametric maximum likelihood approach to analyzing nonnormal phenotypes is described. In this approach, distributions are explicitly modeled together with genetic and environmental effects. Distributional parameters are introduced through mixture constraints, where the distribution of effects are discretized and freely estimated rather than assumed to be normal. Semiparametric maximum likelihood estimation can be used with a variety of genetic models, can be extended to a variety of pedigree structures, and has various advantages over other approaches to modeling nonnormal data.

Humans↗

TSC1 and TSC2 mutations in tuberous sclerosis, the associated phenotypes and a model to explain observed TSC1/ TSC2 frequency ratios.

UNLABELLED: Tuberous sclerosis (TSC) is a multisystem disease with manifestations in the central nervous system, skin, kidneys, heart, and other visceral organs. The development of TSC is associated with alterations within a gene on chromosome 9q34 ( TSC1) and a gene on chromosome 16p13 ( TSC2). Most de-novo patients show a mutation in TSC2, whereas only 50% of all familial cases can be related to TSC2 mutations. In the present study, 68 unrelated patients with confirmed clinical manifestations of TSC were tested for mutations in the TSC1 and TSC2 genes. In total, we studied 59 sporadic cases and 9 familial cases, including one large family with TSC2 linkage. Two pathogenic mutations were found in TSC1. The TSC2 gene analysis revealed 29 mutations, including 3 large deletions and 26 small mutations, 15 of them truncating. CONCLUSION: the TSC1-TSC2 mutation ratio in our group of patients differs significantly from the 1:1 ratio previously predicted on the basis of linkage studies. There is an obvious paradox between the observed frequency of TSC1 mutations in familial cases and sporadic cases. An interestingly mild phenotype, observed in one of our TSC1 mutation carriers, led to the elaboration of a model that provides a plausible explanation for this paradox. We propose the presence of a very mildly affected patient group with TSC1-related disease who are not regularly detected by clinical diagnosis.

Blotting, Southern↗

FLT3-ITD and tyrosine kinase domain mutants induce 2 distinct phenotypes in a murine bone marrow transplantation model.

Activating mutations of the Fms-like tyrosine kinase 3 (FLT3) receptor are the most common genetic alteration in acute myeloid leukemia (AML). Two distinct groups of FLT3 mutations are found: internal tandem duplications (ITDs) of the juxtamembrane region and point mutations within the tyrosine kinase domain (TKD). Recently, point mutations within the activation loop of FLT3 have also been described in childhood acute lymphoblastic leukemia (ALL). FLT3-ITD has been shown to induce a myeloproliferative syndrome in a murine bone marrow transplantation model. The phenotype of FLT3-TKD in mice has not yet been investigated. We transduced murine bone marrow with retrovirus-expressing FLT3-TKD mutants or FLT3-ITD and transplanted these cells into lethally irradiated mice. Mice that received a transplant of FLT3-ITD developed an oligoclonal myeloproliferative disease as previously described. In contrast, FLT3-TKD mutants induced an oligoclonal lymphoid disorder with longer latency and distinct hematologic manifestations: importantly, induction of the lymphoid phenotype was not due to a low number of transplanted cells. The lymphoid manifestation and longer latency of FLT3-TKD compared with FLT3-ITD mutants together with the lack of influence of FLT3-TKD mutations on the clinical outcome of patients with AML suggest differences in cell signaling between FLT3-TKD mutants and FLT3-ITDs. Indeed strong signal transducers and activators of transcription 5 (STAT5) activation could only be demonstrated for FLT3-ITDs.

Animals↗