Recognition and clearance of methoxypoly(ethyleneglycol)2000-grafted liposomes by macrophages with enhanced phagocytic capacity. Implications in experimental and clinical oncology.

Intravenous injection of an endotoxin-free solution of poloxamine-908 to rats can enhance the phagocytic clearance capacity of tissue macrophages, particularly those of the liver and the spleen. Such stimulated cells were able to clear a significant portion of intravenously injected methoxypoly(ethyleneglycol)2000 liposomes (mean size of 87 nm), labelled with technetium-99m via the N-hydroxysuccinimidyl hydrazine nicotinate hydrochloride derivative of distearoyl phosphatidylethanolamine, within 4 h post administration. These liposomes, otherwise, exhibit long circulatory behaviour in control animals, with poor localization to the liver and spleen. We suggest that such technetium-99m-labelled engineered vesicles may be of aid for detection of the liver and spleen macrophages with enhanced phagocytic clearance capacity by gamma scintigraphy. Alterations in the phagocytic activity of liver and spleen macrophages is known to occur during cancer. Therefore, such diagnostic procedures may prove useful for patient selection or for monitoring the progress of treatment with long circulating nanoparticles carrying anti-cancer agents, thus minimizing damage to this important line of body's defence cells, and are discussed.     

Demographic model selection using random forests and the site frequency spectrum

Phylogeographic data sets have grown from tens to thousands of loci in recent years, but extant statistical methods do not take full advantage of these large data sets. For example, approximate Bayesian computation (ABC) is a commonly used method for the explicit comparison of alternate demographic histories, but it is limited by the “curse of dimensionality” and issues related to the simulation and summarization of data when applied to next‐generation sequencing (NGS) data sets. We implement here several improvements to overcome these difficulties. We use a Random Forest (RF) classifier for model selection to circumvent the curse of dimensionality and apply a binned representation of the multidimensional site frequency spectrum (mSFS) to address issues related to the simulation and summarization of large SNP data sets. We evaluate the performance of these improvements using simulation and find low overall error rates (~7%). We then apply the approach to data from Haplotrema vancouverense, a land snail endemic to the Pacific Northwest of North America. Fifteen demographic models were compared, and our results support a model of recent dispersal from coastal to inland rainforests. Our results demonstrate that binning is an effective strategy for the construction of a mSFS and imply that the statistical power of RF when applied to demographic model selection is at least comparable to traditional ABC algorithms. Importantly, by combining these strategies, large sets of models with differing numbers of populations can be evaluated.     

Integrating life history traits into predictive phylogeography

Predictive phylogeography seeks to aggregate genetic, environmental and taxonomic data from multiple species in order to make predictions about unsampled taxa using machine‐learning techniques such as Random Forests. To date, organismal trait data have infrequently been incorporated into predictive frameworks due to difficulties inherent to the scoring of trait data across a taxonomically broad set of taxa. We refine predictive frameworks from two North American systems, the inland temperate rainforests of the Pacific Northwest and the Southwestern Arid Lands (SWAL), by incorporating a number of organismal trait variables. Our results indicate that incorporating life history traits as predictor variables improves the performance of the supervised machine‐learning approach to predictive phylogeography, especially for the SWAL system, in which predictions made from only taxonomic and climate variables meets only moderate success. In particular, traits related to reproduction (e.g., reproductive mode; clutch size) and trophic level appear to be particularly informative to the predictive framework. Predictive frameworks offer an important mechanism for integration of organismal trait, environmental data, and genetic data in phylogeographic studies.     

AcMNPV as a model for baculovirus DNA replication

Baculoviruses were first identified as insect-specific pathogens, and it was this specificity that lead to their use as safe, target specific biological pesticides. For the past 30 years, AcMNPV has served as the subject of intense basic molecular research into the baculovirus infectious cycle including the interaction of the virus with a continuous insect cell line derived from Spodoptera frugiperda. The studies on baculoviruese have led to an in-depth understanding of the physical organization of the viral genomes including many complete genomic sequences, the time course of gene expression, and the application of this basic research to the use of baculoviruses not only as insecticides, but also as a universal eukaryotic protein expression system, and a potential vector in gene therapy. A great deal has also been discovered about the viral genes required for the replication of the baculovirus genome, while much remains to be learned about the mechanism of viral DNA replication. This report outlines the current knowledge of the factors involved in baculovirus DNA replication, using data on AcMNPV as a model for most members of the Baculoviridae.     

A road map for molecular ecology

The discipline of molecular ecology has undergone enormous changes since the journal bearing its name was launched approximately two decades ago. The field has seen great strides in analytical methods development, made groundbreaking discoveries and experienced a revolution in genotyping technology. Here, we provide brief perspectives on the main subdisciplines of molecular ecology, describe key questions and goals, discuss common challenges, predict future research directions and suggest research priorities for the next 20 years.     

The carnivorous plant described as Sarracenia alata contains two cryptic species

Modern methods for species delimitation provide biologists with the power to detect cryptic diversity in nearly any system. To illustrate the application of such methods, we collected data (21 sequence loci) from a carnivorous plant in southeastern North America and applied several recently developed methods (Gaussian clustering, Structurama, BPP, spedeSTEM). The pale pitcher plant Sarracenia alata inhabits the southeastern USA along the northern coast of the Gulf of Mexico. Sarracenia alata populations are separated by the Mississippi River and Atchafalaya Basin, a known biogeographical barrier in this region, but the cohesiveness of S. alata as currently classified has not been tested rigorously. Multiple analytical approaches (including allelic clustering and species trees methods) suggest that S. alata comprises two cryptic lineages that correspond to the eastern and western portions of the plant's distribution. That such clear genetic evidence for cryptic diversity exists within S. alata and is in conflict with other sources of data (e.g. morphology, environmental differentiation) illustrates a conundrum faced by those who investigate species boundaries: genetic data are often the first type of data to accumulate evidence of differentiation, but most existing taxonomic treatments are based on nongenetic data. Our results suggest that S. alata as currently described contains two cryptic species, and we recommend the elevation of the western populations to species status. © 2013 The Linnean Society of London, Biological Journal of the Linnean Society, 2013, 109 , 737–746.