Evolutionary processes driving spatial patterns of intraspecific genetic diversity in river ecosystems.

Describing, understanding and predicting the spatial distribution of genetic diversity is a central issue in biological sciences. In river landscapes, it is generally predicted that neutral genetic diversity should increase downstream, but there have been few attempts to test and validate this assumption across taxonomic groups. Moreover, it is still unclear what are the evolutionary processes that may generate this apparent spatial pattern of diversity. Here, we quantitatively synthesized published results from diverse taxa living in river ecosystems, and we performed a meta-analysis to show that a downstream increase in intraspecific genetic diversity (DIGD) actually constitutes a general spatial pattern of biodiversity that is repeatable across taxa. We further demonstrated that DIGD was stronger for strictly waterborne dispersing than for overland dispersing species. However, for a restricted data set focusing on fishes, there was no evidence that DIGD was related to particular species traits. We then searched for general processes underlying DIGD by simulating genetic data in dendritic-like river systems. Simulations revealed that the three processes we considered (downstream-biased dispersal, increase in habitat availability downstream and upstream-directed colonization) might generate DIGD. Using random forest models, we identified from simulations a set of highly informative summary statistics allowing discriminating among the processes causing DIGD. Finally, combining these discriminant statistics and approximate Bayesian computations on a set of twelve empirical case studies, we hypothesized that DIGD were most likely due to the interaction of two of these three processes and that contrary to expectation, they were not solely caused by downstream-biased dispersal.

A stochastic movement simulator improves estimates of landscape connectivity.

Conservation actions often focus on restoration or creation of natural areas designed to facilitate the movements of organisms among populations. To be efficient, these actions need to be based on reliable estimates or predictions of landscape connectivity. While circuit theory and least-cost paths (LCPs) are increasingly being used to estimate connectivity, these methods also have proven limitations. We compared their performance in predicting genetic connectivity with that of an alternative approach based on a simple, individual-based "stochastic movement simulator" (SMS). SMS predicts dispersal of organisms using the same landscape representation as LCPs and circuit theory-based estimates (i.e., a cost surface), while relaxing key LCP assumptions, namely individual omniscience of the landscape (by incorporating perceptual range) and the optimality of individual movements (by including stochasticity in simulated movements). The performance of the three estimators was assessed by the degree to which they correlated with genetic estimates of connectivity in two species with contrasting movement abilities (Cabanis's Greenbul, an Afrotropical forest bird species, and natterjack toad, an amphibian restricted to European sandy and heathland areas). For both species, the correlation between dispersal model and genetic data was substantially higher when SMS was used. Importantly, the results also demonstrate that the improvement gained by using SMS is robust both to variation in spatial resolution of the landscape and to uncertainty in the perceptual range model parameter. Integration of this individual-based approach with other developing methods in the field of connectivity research, such as graph theory, can yield rapid progress towards more robust connectivity indices and more effective recommendations for land management.

Life history, climate and biogeography interactively affect worldwide genetic diversity of plant and animal populations.

Understanding how biological and environmental factors interactively shape the global distribution of plant and animal genetic diversity is fundamental to biodiversity conservation. Genetic diversity measured in local populations (GDP) is correspondingly assumed representative for population fitness and eco-evolutionary dynamics. For 8356 populations across the globe, we report that plants systematically display much lower GDP than animals, and that life history traits shape GDP patterns both directly (animal longevity and size), and indirectly by mediating core-periphery patterns (animal fecundity and plant dispersal). Particularly in some plant groups, peripheral populations can sustain similar GDP as core populations, emphasizing their potential conservation value. We further find surprisingly weak support for general latitudinal GDP trends. Finally, contemporary rather than past climate contributes to the spatial distribution of GDP, suggesting that contemporary environmental changes affect global patterns of GDP. Our findings generate new perspectives for the conservation of genetic resources at worldwide and taxonomic-wide scales.

Psychosis and nonadherence in an HIV-seropositive patient.

While adherence to antiretroviral therapy is of paramount importance in the treatment of HIV-infected patients, optimal adherence can be challenging to achieve. Furthermore, the presence of comorbid psychiatric illness can potentially compromise treatment adherence. This Case Report highlights the difficulties encountered in the care and treatment adherence of an HIV-seropositive patient who presented with psychotic symptoms. Treatment, ethical, and legal issues are discussed.

Complex interactions between paternal and maternal effects: parental experience and age at reproduction affect fecundity and offspring performance in a butterfly.

Parental effects can greatly affect offspring performance and are thus expected to impact population dynamics and evolutionary trajectories. Most studies have focused on maternal effects, whereas fathers are also likely to influence offspring phenotype, for instance when males transfer nutrients to females during mating. Moreover, although the separate effects of maternal age and the environment have been documented as a source of parental effects in many species, their combined effects have not been investigated. In the present study, we analyzed the combined effects of maternal and paternal age at reproduction and a mobility treatment in stressful conditions on offspring performance in the butterfly Pieris brassicae. Both paternal and maternal effects affected progeny traits but always via interactions between age and mobility treatment. Moreover, parental effects shifted from male effects expressed at the larval stage to maternal effects at the adult stage. Indeed, egg survival until adult emergence significantly decreased with father age at mating only for fathers having experienced the mobility treatment, whereas offspring adult life span decreased with increasing mother age at laying only for females that did not experience the mobility treatment. Overall, our results demonstrate that both parents' phenotypes influence offspring performance through nongenetic effects, their relative contribution varying over the course of progeny's life.

Cigarette smoking and the intention to quit among pregnant smokers.

Research has demonstrated that smoking during pregnancy has deleterious effects on the health of the unborn child as well as the mother. The present study examined whether pregnant smokers would have a greater intention to quit smoking, whether the stage of pregnancy would influence the intention to quit, and whether variables which have predicted cessation among pregnant smokers would also predict intention to quit. The results indicated that pregnant women did not have a significantly greater intention to quit smoking compared to nonpregnant smokers, despite the health risks to their child. Women who were further along in their pregnancy and women who smoked more cigarettes on a daily basis demonstrated the least intention to quit. Notably, women in the first trimester showed the greatest intention to quit, suggesting that pregnant women may be most receptive to quitting during their first trimester.

How compliant is compliant? Evaluating adherence with breast self-exam positions.

The present study examined compliance with the three recommended breast self-examination (BSE) positions over a 6-month follow-up period. An ongoing behavioral measure that provided information about the type of exam performed during each BSE occasion was employed. Results indicated that adherence to all three position types was obtained in only 40% of the exams. Forty-two percent of exams were comprised of only one position, with the supine position being the most frequently practiced exam type. Implications of these results with regard to BSE research and current breast cancer screening recommendations are discussed.

The impact of cigarette smoking on headache activity in headache patients.

The present study was designed to explore the relationship between cigarette smoking and headache activity in a sample of patients presenting for treatment. Subjects completed various self-report measures and monitored headache activity four times per day over a 4-week period. Analyses revealed that smokers experienced greater weekly peak headache intensity, and reported higher levels of depression and general physical symptoms. Among smokers, nicotine content of the preferred brand was associated with mean headache index and weekly headache-free days, as well as depression and anxiety scores. Daily smoking rate and pack-year history were related to level of general physical symptoms only. Thus, both smoking status and the nicotine content of the preferred cigarette appear to adversely impact headache activity. Further, smokers who are more anxious or depressed may increase their headache activity via their preference for higher nicotine-content cigarettes. These results are discussed in the context of possible mechanisms underlying these effects, and implications for the clinical management of headache suffers who smoke.