Paramyxean–microsporidian co-infection in amphipods: Is the consensus that Microsporidia can feminise their hosts presumptive?

The current consensus is that Microsporidia belong to a select group of parasites capable of causing both intersexuality and complete sex reversal in their hosts. Indeed, species such as Nosema granulosis and Dictyocoela duebenum, which infect amphipod crustaceans, are regularly referred to as 'feminising microsporidians'. This categorisation is based on a combination of findings: that these species are vertically transmitted and occur at a high prevalence of infection in intersex and female amphipods, that infected amphipod populations are female-biased, and that infected females have significantly female-biased broods with no concurrent increase in mortality. In this study, we report on a population of the amphipod Echinogammarus marinus presenting both female bias and high levels of intersexuality, which are infected with D. deubenum. In keeping with its feminising classification, infection is prevalent in animals presenting female and intersex phenotypes. However, a further screen revealed the presence of a previously unknown paramyxean parasite related to organisms of the genus Marteilia, a group known to cause catastrophic sexual dysfunction in bivalves. We found that the paramyxean parasite was also vertically transmitted, with infections being more prevalent in females and intersex animals. Critically, every animal infected with D. deubenum was also co-infected with the paramyxean, with few animals presenting an independent paramyxean infection. In contrast, co-infection of E. marinus with a paramyxean and the non-feminising microsporidian Dictyocoela berillonum rarely occurred. These observations raise a new hypothesis, namely, that D. duebenum and other feminising microsporidians are not actually capable of host feminisation but instead 'hitch-hike' together with a feminising paramyxean parasite.     

Great Lakes coastal wetland habitat use by seven turtle species: influences of wetland type, vegetation, and abiotic conditions

Great Lakes coastal wetlands are important habitats for turtles but few studies have looked at factors driving community structure in these systems. We evaluated the effects of wetland type, vegetation, and abiotic conditions on turtle communities for 56 wetlands in Lakes Huron, Michigan, and Superior with data collected during the summers of 2000–2008. Overall, 1,366 turtles representing seven species were captured using fyke nets. For the majority of species, catches were highest in drowned river mouth wetlands In addition, turtles tended to be more abundant in water lilies, submersed aquatic vegetation, and cattails compared to bulrush. We also found positive correlations between catches of four of the species as well as total turtle catch and turtle species richness with a human disturbance gradient. These correlations suggest that turtles may be able to utilize coastal wetland areas that are inhospitable to fish because of hypoxic conditions. Our results show the importance Great Lakes coastal wetlands to turtles, and stress the need for managers to take into account turtle populations when preparing conservation and restoration strategies.     

Further optimization of the K-Cl cotransporter KCC2 antagonist ML077: development of a highly selective and more potent in vitro probe

Further chemical optimization of the MLSCN/MLPCN probe ML077 (KCC2 IC(50)=537 nM) proved to be challenging as the effort was characterized by steep SAR. However, a multi-dimensional iterative parallel synthesis approach proved productive. Herein we report the discovery and SAR of an improved novel antagonist (VU0463271) of the neuronal-specific potassium-chloride cotransporter 2 (KCC2), with an IC(50) of 61 nM and >100-fold selectivity versus the closely related Na-K-2Cl cotransporter 1 (NKCC1) and no activity in a larger panel of GPCRs, ion channels and transporters.     

Monitoring and prediction of an epidemic outbreak using syndromic observations

The paper presents a method for syndromic surveillance of an epidemic outbreak due to an emerging disease, formulated in the context of stochastic nonlinear filtering. The dynamics of the epidemic is modeled using a stochastic compartmental epidemiological model with inhomogeneous mixing. The syndromic (typically non-medical) observations of the number of infected people (e.g. visits to pharmacies, sale of certain products, absenteeism from work/study, etc.) are assumed available for monitoring and prediction of the epidemic. The state of the epidemic, including the number of infected people and the unknown parameters of the model, are estimated via a particle filter. The numerical results indicate that the proposed framework can provide useful early prediction of the epidemic peak if the uncertainty in prior knowledge of model parameters is not excessive.     

As Good As It Gets? The Problem of HIV Persistence despite Antiretroviral Drugs

Human immunodeficienty virus (HIV) infection is suppressed but not eliminated by antiretroviral drugs.?Viral?persistence in the face of therapy has been explained by viral latency, lowered effectiveness of drugs?in some anatomical sites and cell types, and cell-to-cell spread. These mechanisms allow for drug-sensitive virus to persist despite treatment. Understanding the persistence mechanism at work at?different times after infection, including the time of initial infection immediately following transmission?when reservoirs are first formed, will reveal if we are at the limit of what can be achieved with the?current therapy paradigm of suppressing ongoing virus replication with drugs. We discuss some of?the possible reasons why HIV persists at different points on the infection timeline, focusing on the?role ongoing replication may have in maintaining the infection despite drugs at early times postexposure.     

ngLOC: software and web server for predicting protein subcellular localization in prokaryotes and eukaryotes

ABSTRACT: BACKGROUND: Understanding protein subcellular localization is a necessary component toward understanding the overall function of a protein. Numerous computational methods have been published over the past decade, with varying degrees of success. Despite the large number of published methods in this area, only a small fraction of them are available for researchers to use in their own studies. Of those that are available, many are limited by predicting only a small number of major organelles in the cell. Additionally, the majority of methods predict only a single location, even though it is known that a large fraction of the proteins in eukaryotic species shuttle between locations to carry out their function. FINDINGS: We present a software package and a web server for predicting subcellular localization of protein sequences based on the ngLOC method. ngLOC is an n-gram-based Bayesian classifier that predicts subcellular localization of proteins both in prokaryotes and eukaryotes. The overall prediction accuracy varies from 89.8% to 91.4% across species. This program can predict 11 distinct locations each in plant and animal species. ngLOC also predicts 4 and 5 distinct locations on gram-positive and gram-negative bacterial datasets, respectively. CONCLUSIONS: ngLOC is a generic method that can be trained by data from a variety of species or classes for predicting protein subcellular localization. The standalone software is freely available for academic use under GNU GPL, and the ngLOC web server is also accessible at http://ngloc.unmc.edu.     

Local transmission processes and disease-driven host extinctions

Classic infectious disease theory assumes that transmission depends on either the global density of the parasite (for directly transmitted diseases) or its global frequency (for sexually transmitted diseases). One important implication of this dichotomy is that parasite-driven host extinction is only predicted under frequency-dependent transmission. However, transmission is fundamentally a local process between individuals that is determined by their and/or their vector’s behaviour. We examine the implications of local transmission processes to the likelihood of disease-driven host extinction. Local density-dependent transmission can lead to parasite-driven extinction, but extinction is more likely under local frequency-dependent transmission and much more likely when there is active local searching behaviour. Density-dependent directly transmitted diseases spread locally can therefore lead to deterministic host extinction, but locally frequency-dependent passive vector-borne diseases are more likely to cause extinctions. However, it is active searching behaviour either by a vector or between sexual partners that is most likely to cause the host to go extinct. Our work emphasises that local processes are essential in determining parasite-driven extinctions, and the role of parasites in the extinction of rare species may have been underplayed due to the classic assumption of global density-dependent transmission.     

AreA controls nitrogen source utilisation during both growth programs of the dimorphic fungus Penicillium marneffei

The opportunistic pathogen Penicillium marneffei displays a temperature-dependent dimorphic switching program with saprophytic hyphal growth at 25 °C and yeast growth at 37 °C. The areA gene of P. marneffei has been isolated and found to be required for the utilisation of nonpreferred nitrogen sources during both growth programs of P. marneffei, albeit to differing degrees. Based on this functional characterisation and high degree of sequence conservation with other fungal GATA factors, P. marneffei areA represents an orthologue of Aspergillus nidulans areA and Neurospora crassa NIT2. Based on this study it is proposed that AreA is likely to contribute to the pathogenicity of P. marneffei by facilitating growth in the host environment and regulating the expression of potential virulence factors such as extracellular proteases.