Evaluating the importance of within- and between-host selection pressures on the evolution of chronic pathogens

Infectious pathogens compete and are subject to natural selection at multiple levels. For example, viral strains compete for access to host resources within an infected host and, at the same time, compete for access to susceptible hosts within the host population. Here we propose a novel approach to study the interplay between within- and between-host competition. This approach allows for a single host to be infected by and transmit two strains of the same pathogen. We do this by nesting a model for the host-pathogen dynamics within each infected host into an epidemiological model. The nesting of models allows the between-host infectivity and mortality rates suffered by infected hosts to be functions of the disease progression at the within-host level. We present a general method for computing the basic reproduction ratio of a pathogen in such a model. We then illustrate our method using a basic model for the within-host dynamics of viral infections, embedded within the simplest susceptible-infected (SI) epidemiological model. Within this nested framework, we show that the virion production rate at the level of the cell-virus interaction leads, via within-host competition, to the presence or absence of between-host level competitive exclusion. In particular, we find that in the absence of mutation the strain that maximizes between-host fitness can outcompete all other strains. In the presence of mutation we observe a complex invasion landscape showing the possibility of coexistence. Although we emphasize the application to human viral diseases, we expect this methodology to be applicable to be many host-parasite systems.     

Carbon nanotube aqueous sol-gel composites: enzyme-friendly platforms for the development of stable biosensors

A new type of composite material based on carbon nanotubes and an aqueous sol-gel process has been developed. The electrochemical characteristics of these composites were investigated and compared to composites made with an alkoxy silane sol-gel process. The use of carbon nanotubes, as the conductive part of the composite, facilitated fast electron transfer rates. The feasibility of this type of composite for the development of biosensors was demonstrated using l-amino acid oxidase. The stability of the enzyme was increased when it was encapsulated in the aqueous sol-gel, and the sensor retained more that 50% of its response after 1 month of testing.     

Adaptation genomics: the next generation

Understanding the genetics of how organisms adapt to changing environments is a fundamental topic in modern evolutionary ecology. The field is currently progressing rapidly because of advances in genomics technologies, especially DNA sequencing. The aim of this review is to first briefly summarise how next generation sequencing (NGS) has transformed our ability to identify the genes underpinning adaptation. We then demonstrate how the application of these genomic tools to ecological model species means that we can start addressing some of the questions that have puzzled ecological geneticists for decades such as: How many genes are involved in adaptation? What types of genetic variation are responsible for adaptation? Does adaptation utilise pre-existing genetic variation or does it require new mutations to arise following an environmental change?     

Testing the growth rate vs. geochemical hypothesis for latitudinal variation in plant nutrients

Two hypotheses have been proposed to explain increases in plant nitrogen (N) and phosphorus (P) concentrations with latitude: (i) geochemical limitation to P availability in the tropics and (ii) temperature driven variation in growth rate, where greater growth rates (requiring greater nutrient levels) are needed to complete growth and reproduction within shorter growing seasons in temperate than tropical climates. These two hypotheses were assessed in one forest type, intertidal mangroves, using fertilized plots at sites between latitudes 36º S and 27º N. The N and P concentrations in mangrove leaf tissue increased with latitude, but there were no trends in N : P ratios. Growth rates of trees, adjusted for average minimum temperature showed a significant increase with latitude supporting the Growth Rate Hypothesis. However, support for the Geochemical Hypothesis was also strong; both photosynthetic P use efficiency and nutrient resorption efficiency decreased with increasing latitude, indicating that P was less limiting to metabolism at the higher latitudes. Our study supports the hypothesis that historically low P availability in the tropics has been an important selective pressure shaping the evolution of plant traits.     

DACH1: Its Role as a Classifier of Long Term Good Prognosis in Luminal Breast Cancer

Background

Oestrogen receptor (ER) positive (luminal) tumours account for the largest proportion of females with breast cancer. Theirs is a heterogeneous disease presenting clinical challenges in managing their treatment. Three main biological luminal groups have been identified but clinically these can be distilled into two prognostic groups in which Luminal A are accorded good prognosis and Luminal B correlate with poor prognosis. Further biomarkers are needed to attain classification consensus. Machine learning approaches like Artificial Neural Networks (ANNs) have been used for classification and identification of biomarkers in breast cancer using high throughput data. In this study, we have used an artificial neural network (ANN) approach to identify DACH1 as a candidate luminal marker and its role in predicting clinical outcome in breast cancer is assessed.

Materials and methods

A reiterative ANN approach incorporating a network inferencing algorithm was used to identify ER-associated biomarkers in a publically available cDNA microarray dataset. DACH1 was identified in having a strong influence on ER associated markers and a positive association with ER. Its clinical relevance in predicting breast cancer specific survival was investigated by statistically assessing protein expression levels after immunohistochemistry in a series of unselected breast cancers, formatted as a tissue microarray.

Results

Strong nuclear DACH1 staining is more prevalent in tubular and lobular breast cancer. Its expression correlated with ER-alpha positive tumours expressing PgR, epithelial cytokeratins (CK)18/19 and ‘luminal-like’ markers of good prognosis including FOXA1 and RERG (p<0.05). DACH1 is increased in patients showing longer cancer specific survival and disease free interval and reduced metastasis formation (p<0.001). Nuclear DACH1 showed a negative association with markers of aggressive growth and poor prognosis.

Conclusion

Nuclear DACH1 expression appears to be a Luminal A biomarker predictive of good prognosis, but is not independent of clinical stage, tumour size, NPI status or systemic therapy.     

Mortality of Altitude-exposed Mice Infected with Pasturella tularensis

The influence of reduced barometric pressure equivalent to an altitude of 18,000 ft (5,486 m) on the susceptibility of mice to tularemia was investigated by exposing groups of animals to the test environment before, after, or before and after intraperitoneal inoculation of 225 colony-forming units of Pasteurella tularensis. Similarly infected control animals were not exposed to the experimental environment. Two measurements of mortality were employed: (i) the day on which 50% of the mice were dead; and (ii) the number of dead mice on the 8th day. Continuous altitude exposure for 14 days prior to infection had no effect on host susceptibility but exposure after infection significantly increased mortality (P < 0.001).     

Development of a capture/enrichment sandwich ELISA for the rapid detection of enteropathogenic and enterohaemorrhagic Escherichia coli O26 strains

AIMS: To improve the sensitivity of a monoclonal antibody (MAb 2F3) based enteropathogenic Escherichia coli (EPEC)/enterohaemorrhagic E. coli (EHEC) serogroup O26-specific sandwich ELISA (sELISA), using a capture/enrichment format of the assay. METHODS AND RESULTS: The sELISA utilized an EPEC/EHEC O26-specific MAb 2F3 as the capture reagent and an E. coli serogroup O26 lipopolysaccharide-specific polyclonal antibody in the development stage. Wells containing faeces test samples from bovine enteritis cases and agar colony sweep cultures from human diarrhoea cases, after a 2-h capture stage, were washed and enrichment of the captured cells was encouraged by addition of tryptone soya broth. After overnight incubation, the contents of each well were transferred to sterile wells and the sELISA completed. Any sELISA positive samples were then subcultured onto blood agar to recover and further characterize the positive cultures. The assay had a sensitivity of 10(3) CFU ml(-1). ELISA positive samples consisted of 21 (4.8%) of the 442 bovine and 19 (3.7%) of the 519 human samples tested, and ELISA positive EPEC/EHEC O26 strains were isolated from 11 and three of these samples respectively. CONCLUSION: The capture/enrichment method improved the sensitivity of a MAb-based sELISA for the detection of EPEC/EHEC O26 strains, and also contributed to an improved isolation rate of the organism from field samples. SIGNIFICANCE AND IMPACT OF THE STUDY: The application of a specific MAb in a capture/enrichment format of the sELISA, provides a prospectively suitable screening method for the detection of pathogenic bacteria from mixed culture samples.     

Chromosome 14 and late-onset familial Alzheimer disease (FAD)

Familial Alzheimer disease (FAD) is genetically heterogeneous. Two loci responsible for early-onset FAD have been identified: the amyloid precursor protein gene on chromosome 21 and the as-yet-unidentified locus on chromosome 14. The genetics of late-onset FAD is unresolved. Maximum-likelihood, affected-pedigree-member (APM), and sib-pair analyses were used, in 49 families with a mean age at onset ≥60 years, to determine whether the chromosome 14 locus is responsible for late-onset FAD. The markers used were D14S53, D14S43, and D14S52. The LOD score method was used to test for linkage of late-onset FAD to the chromosome 14 markers, under three different models: age-dependent penetrance, an affected-only analysis, and age-dependent penetrance with allowance for possible age-dependent sporadic cases. No evidence for linkage was obtained under any of these conditions for the late-onset kindreds, and strong evidence against linkage (LOD score ≤ –2.0) to this region was obtained. Heterogeneity tests of the LOD score results for the combined group of families (early onset, Volga Germans, and late onset) favored the hypothesis of linkage to chromosome 14 with genetic heterogeneity. The positive results are primarily from early-onset families. APM analysis gave significant evidence for linkage of D14S43 and D14S52 to FAD in early-onset kindreds (P < .02). No evidence for linkage was found for the entire late-onset family group. Significant evidence for linkage to D14S52, however, was found for a subgroup of families of intermediate age at onset (mean age at onset ≥60 years and <70 years). These results indicate that the chromosome 14 locus is not responsible for Alzheimer disease in most late-onset FAD kindreds but could play a role in a subset of these kindreds.     

Interaction of the N- and C-terminal domains of vinculin. Characterization and mapping studies

The vinculin head to tail intramolecular self-association controls its binding sites for other components of focal adhesions. To study this interaction, the head and tail domains were expressed, purified, and assayed for various characteristics of complex formation. Analytical centrifugation demonstrated a strong interaction in solution and formation of a complex more asymmetric than either of the individual domains. A survey of binding conditions using a solid-phase binding assay revealed characteristics of both electrostatic and hydrophobic forces involved in the binding. In addition, circular dichroism of the individual domains and the complex demonstrated that conformational changes likely occur in both domains during association. The interaction sites were more closely mapped on the protein sequence by deletion mutagenesis. Amino acids 181-226, a basic region within the acidic head domain, were identified as a binding site for the vinculin tail, and residues 1009-1066 were identified as sufficient for binding the head. Moreover, mutation of an acidic patch in the tail (residues 1013-1015) almost completely eliminated its ability to interact with the head domain further supporting the significance of ionic interactions in the binding. Our data indicate that the interaction between the head and tail domains of vinculin occurs through oppositely charged contact sites and results in conformational changes in both domains.