Human Cytomegalovirus-Induces Cytokine Changes in the Placenta with Implications for Adverse Pregnancy Outcomes

Human cytomegalovirus (CMV) infection of the developing fetus can result in adverse pregnancy outcomes including death in utero. Fetal injury results from direct viral cytopathic damage to the CMV-infected fetus, although evidence suggests CMV placental infection may indirectly cause injury to the fetus, possibly via immune dysregulation with placental dysfunction. This study investigated the effects of CMV infection on expression of the chemokine MCP-1 (CCL2) and cytokine TNF-α in placentae from naturally infected stillborn babies, and compared these changes with those found in placental villous explant histocultures acutely infected with CMV ex vivo. Tissue cytokine protein levels were assessed using quantitative immunohistochemistry. CMV-infected placentae from stillborn babies had significantly elevated MCP-1 and TNF-α levels compared with uninfected placentae (p = 0.001 and p = 0.007), which was not observed in placentae infected with other microorganisms (p = 0.62 and p = 0.71) (n = 7 per group). Modelling acute clinical infection using ex vivo placental explant histocultures showed infection with CMV laboratory strain AD169 (0.2 pfu/ml) caused significantly elevated expression of MCP-1 and TNF-α compared with uninfected explants (p = 0.0003 and p<0.0001) (n = 25 per group). Explant infection with wild-type Merlin at a tenfold lower multiplicity of infection (0.02 pfu/ml), caused a significant positive correlation between increased explant infection and upregulation of MCP-1 and TNF-α expression (p = 0.0001 and p = 0.017). Cytokine dysregulation has been associated with adverse outcomes of pregnancy, and can negatively affect placental development and function. These novel findings demonstrate CMV infection modulates the placental immune environment in vivo and in a multicellular ex vivo model, suggesting CMV-induced cytokine modulation as a potential initiator and/or exacerbator of placental and fetal injury.     

Duplication and paralog sorting of RPB2 and RPB1 genes in core eudicots

RPB1 and RPB2, which encode the largest and second largest subunits of RNA polymerase II, respectively, are essential single copy genes in fungi, animals and most plants. Two paralogs of the RPB2 gene have been found in some groups of angioperms [Oxelman, B., Yoshikawa, N., McConaughy, B.L., Luo, J., Denton, A.L., Hall, B.D., 2004. RPB2 gene phylogeny in flowering plants, with particular emphasis on asterids. Mol. Phylogenet. Evol. 32, 462-479]. Here, we report the results of experiments designed to identify the evolutionary origin of the RPB2 duplicate copies. Through careful sampling and phylogenetic analysis, we were able to construct the RPB2 gene tree in angiosperms and infer the phylogenetic positions of the gene duplication and gene loss events that occurred. Our study shows that an RPB2 gene duplication occurred early in core eudicot evolution, at or near the time of the Buxaceae/Trochodendraceae divergence. Subsequently, multiple gene duplication and paralog sorting events happened independently in different core eudicot taxa. Differential expression of the two RPB2 gene paralogs may explain the preservation of both paralogs in the asterids. One gene (RPB2-i) accounts for most of the RPB2 mRNA made in the flower organs while the other gene (RPB2-d) is predominantly used in the vegetative tissues. We also found two paralogs of the RPB1 gene in some core eudicot species. The RPB1 gene duplication occurred before core eudicot divergence, around the time of RPB2 gene duplication. Several independent RPB1 paralog sorting events happened in different core eudicot taxa; their occurrence was independent of the RPB2 paralog sorting events. Our results suggest that a polyploidization event happened at or near the time of the Buxaceae/Trochodendraceae divergence. We propose that this polyploidization and the partial diploidization processes thereafter may have been the driving force of core eudicot radiation.     

Individual predisposition, household clustering and risk factors for human infection with Ascaris lumbricoides: new epidemiological insights

Background

Much of our current understanding of the epidemiology of Ascaris lumbricoides infections in humans has been acquired by analyzing worm count data. These data are collected by treating infected individuals with anthelmintics so that worms are expelled intact from the gastrointestinal tract. Analysis of such data established that individuals are predisposed to infection with few or many worms and members of the same household tend to harbor similar numbers of worms. These effects, known respectively as individual predisposition and household clustering, are considered characteristic of the epidemiology of ascariasis. The mechanisms behind these phenomena, however, remain unclear. In particular, the impact of heterogeneous individual exposures to infectious stages has not been thoroughly explored.

Methodology/Principal Findings

Bayesian methods were used to fit a three-level hierarchical statistical model to A. lumbricoides worm counts derived from a three-round chemo-expulsion study carried out in Dhaka, Bangladesh. The effects of individual predisposition, household clustering and household covariates of the numbers of worms per host (worm burden) were considered simultaneously. Individual predisposition was found to be of limited epidemiological significance once household clustering had been accounted for. The degree of intra-household variability among worm burdens was found to be reduced by approximately 58% when household covariates were included in the model. Covariates relating to decreased affluence and quality of housing construction were associated with a statistically significant increase in worm burden.

Conclusions/Significance

Heterogeneities in the exposure of individuals to infectious eggs have an important role in the epidemiology of A. lumbricoides infection. The household covariates identified as being associated with worm burden provide valuable insights into the source of these heterogeneities although above all emphasize and reiterate that infection with A. lumbricoides is inextricably associated with acute poverty.     

Mapping a forest mosaic – A comparison of vegetation and bird distributions using geographic boundary analysis

Many areas of ecological inquiry require the ability to detect and characterize change in ecological variables across both space and time. The purpose of this study was to investigate ways in which geographic boundary analysis techniques could be used to characterize the pattern of change over space in plant distributions in a forested wetland mosaic. With vegetation maps created using spatially constrained clustering and difference boundary delineation, we examined similarities between the identified boundaries in plant distributions and the occurrence of six species of songbirds. We found that vegetation boundaries were significantly cohesive, suggesting one or more crisp vegetation transition zones exist in the study site. Smaller, less cohesive boundary areas also provided important information about patterns of treefall gaps and dense patches of understory within the study area. Boundaries for songbird abundance were not cohesive, and bird and vegetation difference boundaries did not show significant overlap. However, bird boundaries did overlap significantly with vegetation cluster boundaries. Vegetation clusters delineated using constrained clustering techniques have the potential to be very useful for stratifying bird abundance data collected in different sections of the study site, which could be used to improve the efficiency of monitoring efforts for rare bird species.     

Immuno-EM localization of GFP-tagged yolk proteins in C. elegans using microwave fixation.

Because of the presence of a low-permeability cuticle covering the animal, fixation of C. elegans tissue for immunoelectron microscopy has proved very difficult. Here we applied a microwave fixation protocol to improve penetration of fixatives before postembedding immunogold labeling. Using this technique, we were able to successfully localize several components of yolk (YP170) trafficking in both wild-type and transgenic strains expressing a vitellogenin::green fluorescent protein fusion (YP170::GFP). Green fluorescent protein (GFP) and its variants are commonly used as markers to localize proteins in transgenic C. elegans using fluorescence microscopy. We have developed a robust method to localize GFP at the EM level. This procedure is applicable to the characterization of transgenic strains in which GFP is used to mark particular proteins or cell types and will undoubtedly be very useful for high-resolution analysis of marked structures.     

The hypotrichosis-generating shorn (shn) mutation maps to distal chromosome 7 in the Norway rat

We have recently identified an autosomal recessive mutation in the Norway rat that generates an almost complete absence of normal hair. Here we describe a multilocus backcross analysis that was used to map this mutation, named shorn (gene symbol shn), to the distal end of rat chromosome 7. Although this region in rat carries no previously mapped similar mutations, the homologous genomic regions in mouse and human contain several potential homologues and candidate genes.     

Explaining the explosion: modelling hybrid invasions

The emergence of hybrids between native and introduced species is an increasingly widespread problem which can alter entire ecosystems. We present a general model for the hybridization of two plant species to investigate the conditions under which hybrid invasions can occur, and the ecological and genetic consequences of such hybridizations. We find that parental compatibility and fecundity are important determinants of whether (and at what rate) hybrid genotypes emerge. Enhanced hybrid fitness traits affect both the population's genetic structure and total rate of increase, with rapid selection for the fittest genotype. Conversely, if different genotypes maximize different life-history characteristics, the ensuing population can be genetically very variable. The model provides a novel approach to evaluate the contributions of population dynamic and genetic processes in the study of hybrid invasions.     

Metabolic control analysis is helpful for informed genetic manipulation of oilseed rape (Brassica napus) to increase seed oil content

Top-down control analysis (TDCA) is a useful tool for quantifying constraints on metabolic pathways that might be overcome by biotechnological approaches. Previous studies on lipid accumulation in oilseed rape have suggested that diacylglycerol acyltransferase (DGAT), which catalyses the final step in seed oil biosynthesis, might be an effective target for enhancing seed oil content. Here, increased seed oil content, increased DGAT activity, and reduced substrate:product ratio are demonstrated, as well as reduced flux control by complex lipid assembly, as determined by TDCA in Brassica napus (canola) lines which overexpress the gene encoding type-1 DGAT. Lines overexpressing DGAT1 also exhibited considerably enhanced seed oil content under drought conditions. These results support the use of TDCA in guiding the rational selection of molecular targets for oilseed modification. The most effective lines had a seed oil increase of 14%. Moreover, overexpression of DGAT1 under drought conditions reduced this environmental penalty on seed oil content.