Evolution of dosage compensation under sexual selection differs between X and Z chromosomes.

Complete sex chromosome dosage compensation has more often been observed in XY than ZW species. In this study, using a population genetic model and the chicken transcriptome, we assess whether sexual conflict can account for this difference. Sexual conflict over expression is inevitable when mutation effects are correlated across the sexes, as compensatory mutations in the heterogametic sex lead to hyperexpression in the homogametic sex. Coupled with stronger selection and greater reproductive variance in males, this results in slower and less complete evolution of Z compared with X dosage compensation. Using expression variance as a measure of selection strength, we find that, as predicted by the model, dosage compensation in the chicken is most pronounced in genes that are under strong selection biased towards females. Our study explains the pattern of weak dosage compensation in ZW systems, and suggests that sexual selection plays a major role in shaping sex chromosome dosage compensation.

Primary care in Switzerland: evolution of physicians' profile and activities in twenty years (1993-2012).

BACKGROUND: According to the Organization for Economic Cooperation and Development, the Swiss healthcare system is one of the most effective in the world. Yet, as other occidental countries, it has to face the increase of chronic diseases frequency and its resulting cost, particularly for primary care (PC). However very few consistent data are available to describe PC features and its evolution over time. The aim of this study is to describe the evolution of the Swiss PC physicians' (PCPs) profile and activities between 1993 and 2012. METHODS: The date come from two independent European surveys carried out in Switzerland respectively in 1993 and 2012. Both surveys were cross-sectional ones and based on representative samples of 200 PCPs, interviewed by questionnaire. RESULTS: In 20 years, PCPs became older (median age 46 vs 56, p < 0.001) and more feminized (7 % vs 22 %, p < 0.001). Nowadays, they more often work in group practices (28 % vs 52 % in 2012, p < 0.001) and are more involved in other paid activities (28 % vs 66 % in 2012, p < 0.001). All the PCPs have a computer in 2012 (78 % in 1993, p < 0.001) and it is mostly used for keeping records of consultations (47 %). The number of daily face-to-face contacts with patients decreased from 31 to 24 but the average length rose from 15 to 20 min (p < 0.001). PCPs provide fewer pediatric and gynecological services but their activity remains globally unchanged in other domains. The frequency of meetings with other disciplines decreased significantly (e.g. once/month face-to-face meets with ambulatory specialists: 78 % vs 23 % in 2012, p < 0.001). The involvement of PCPs in follow-up and treatment of chronic disease globally little differed. In 2012, 8.5 % of the PCPs never performed any chirurgical acts (vs 0 % in 1993, p < 0.001). CONCLUSION: This study showed a substantial evolution of Swiss PC over the last twenty years in terms of socio-demographic, organizational and service provided. The main changes include: feminization and ageing, lower diversity in services provided, fewer but longer consultations. These changes may have important implications for patients' management and will need to be considered for health planning purposes.

Multigene Family Evolution: Perspectives from Insect Chemoreceptors.

Understanding the birth and diversification of multigene families is a fundamental evolutionary problem. I argue for the insect chemoreceptor superfamily as an outstanding model. Although these receptors are currently the preserve of neuroscientists, putative homologous genes exist in diverse animal and plant genomes, implying an ancient origin. Moreover, functional studies suggest that they act as ligand-gated ion channels in both chemosensory and non-chemosensory processes. This family permits synergism of investigations into its structural and regulatory evolution with ecological studies of the selective pressures driving these changes. In addition, sequence divergence in these receptors can be exploited through co-evolutionary and comparative genomics analyses to help to elucidate their 3D structure and signaling mechanisms, and to reveal experimentally-accessible candidate loci to explore the genetic basis of adaptation.

Validation of and comparison between a semidistributed rainfall-runoff hydrological model (PREVAH) and a spatially distributed snow-evolution model (SnowModel) for snow cover prediction in mountain ecosystems

Snow cover is an important control in mountain environments and a shift of the snow-free period triggered by climate warming can strongly impact ecosystem dynamics. Changing snow patterns can have severe effects on alpine plant distribution and diversity. It thus becomes urgent to provide spatially explicit assessments of snow cover changes that can be incorporated into correlative or empirical species distribution models (SDMs). Here, we provide for the first time a with a lower overestimation comparison of two physically based snow distribution models (PREVAH and SnowModel) to produce snow cover maps (SCMs) at a fine spatial resolution in a mountain landscape in Austria. SCMs have been evaluated with SPOT-HRVIR images and predictions of snow water equivalent from the two models with ground measurements. Finally, SCMs of the two models have been compared under a climate warming scenario for the end of the century. The predictive performances of PREVAH and SnowModel were similar when validated with the SPOT images. However, the tendency to overestimate snow cover was slightly lower with SnowModel during the accumulation period, whereas it was lower with PREVAH during the melting period. The rate of true positives during the melting period was two times higher on average with SnowModel with a lower overestimation of snow water equivalent. Our results allow for recommending the use of SnowModel in SDMs because it better captures persisting snow patches at the end of the snow season, which is important when modelling the response of species to long-lasting snow cover and evaluating whether they might survive under climate change.