Genome-Wide Association Mapping of Phenotypic Traits Subject to a Range of Intensities of Natural Selection in Timema cristinae*

abstract: The genetic architecture of adaptive traits can reflect the evolutionary history of populations and also shape divergence among populations. Despite this central role in evolution, relatively little is known regarding the genetic architecture of adaptive traits in nature, particularly for traits subject to known selection intensities. Here we quantitatively describe the genetic architecture of traits that are subject to known intensities of differential selection between host plant species in Timema cristinae stick insects. Specifically, we used phenotypic measurements of 10 traits and 211,004 single-nucleotide polymorphisms (SNPs) to conduct multilocus genome-wide association mapping. We identified a modest number of SNPs that were associated with traits and sometimes explained a large proportion of trait variation. These SNPs varied in their strength of association with traits, and both major and minor effect loci were discovered. However, we found no relationship between variation in levels of divergence among traits in nature and variation in parameters describing the genetic architecture of those same traits. Our results provide a first step toward identifying loci underlying adaptation in T. cristinae. Future studies will examine the genomic location, population differentiation, and response to selection of the trait-associated SNPs described here

Healthcare workers hospitalized due to COVID-19 have no higher risk of death than general population. Data from the Spanish SEMI-COVID-19 Registry

Aim To determine whether healthcare workers (HCW) hospitalized in Spain due to COVID-19 have a worse prognosis than non-healthcare workers (NHCW). Methods Observational cohort study based on the SEMI-COVID-19 Registry, a nationwide registry that collects sociodemographic, clinical, laboratory, and treatment data on patients hospitalised with COVID-19 in Spain. Patients aged 20-65 years were selected. A multivariate logistic regression model was performed to identify factors associated with mortality. Results As of 22 May 2020, 4393 patients were included, of whom 419 (9.5%) were HCW. Median (interquartile range) age of HCW was 52 (15) years and 62.4% were women. Prevalence of comorbidities and severe radiological findings upon admission were less frequent in HCW. There were no difference in need of respiratory support and admission to intensive care unit, but occurrence of sepsis and in-hospital mortality was lower in HCW (1.7% vs. 3.9%; p = 0.024 and 0.7% vs. 4.8%; p<0.001 respectively). Age, male sex and comorbidity, were independently associated with higher in-hospital mortality and healthcare working with lower mortality (OR 0.211, 95%CI 0.067-0.667, p = 0.008). 30-days survival was higher in HCW (0.968 vs. 0.851 p<0.001). Conclusions Hospitalized COVID-19 HCW had fewer comorbidities and a better prognosis than NHCW. Our results suggest that professional exposure to COVID-19 in HCW does not carry more clinical severity nor mortality

Role of age and comorbidities in mortality of patients with infective endocarditis

[Purpose]: The aim of this study was to analyse the characteristics of patients with IE in three groups of age and to assess the ability of age and the Charlson Comorbidity Index (CCI) to predict mortality. [Methods]: Prospective cohort study of all patients with IE included in the GAMES Spanish database between 2008 and 2015.Patients were stratified into three age groups:<65 years,65 to 80 years,and ≥ 80 years.The area under the receiver-operating characteristic (AUROC) curve was calculated to quantify the diagnostic accuracy of the CCI to predict mortality risk. [Results]: A total of 3120 patients with IE (1327 < 65 years;1291 65-80 years;502 ≥ 80 years) were enrolled.Fever and heart failure were the most common presentations of IE, with no differences among age groups.Patients ≥80 years who underwent surgery were significantly lower compared with other age groups (14.3%,65 years; 20.5%,65-79 years; 31.3%,≥80 years). In-hospital mortality was lower in the <65-year group (20.3%,<65 years;30.1%,65-79 years;34.7%,≥80 years;p < 0.001) as well as 1-year mortality (3.2%, <65 years; 5.5%, 65-80 years;7.6%,≥80 years; p = 0.003).Independent predictors of mortality were age ≥ 80 years (hazard ratio [HR]:2.78;95% confidence interval [CI]:2.32–3.34), CCI ≥ 3 (HR:1.62; 95% CI:1.39–1.88),and non-performed surgery (HR:1.64;95% CI:11.16–1.58).When the three age groups were compared,the AUROC curve for CCI was significantly larger for patients aged <65 years(p < 0.001) for both in-hospital and 1-year mortality. [Conclusion]: There were no differences in the clinical presentation of IE between the groups. Age ≥ 80 years, high comorbidity (measured by CCI),and non-performance of surgery were independent predictors of mortality in patients with IE.CCI could help to identify those patients with IE and surgical indication who present a lower risk of in-hospital and 1-year mortality after surgery, especially in the <65-year group

Análisis globales de diversificación en mamíferos a partir de filogenias moleculares

Peer Reviewe

Phylogeny and diversification in mammals

Póster presentado en la "Frontiers in Biodiversity: A Phylogenetic Perspective" celebrada en Barcelona el 1 y 2 de actubre de 2010.Peer Reviewe

Patterns of mammalian diversification in recent evolutionary times: global tendencies and methodological issues

Changes in diversification patterns estimated from phylogenetic trees are an important source of information about the dynamics of evolution. To study the diversification of mammals, we reconstructed phylogenetic trees of 29 families and fitted both constant-rate and variable-rate models of diversification. In addition, we investigated the effect of clock models and phylogenetic reconstruction problems on diversification analyses. We observed, first, that none of the families increased its diversification rate during the last few million years, including the Pleistocene. Furthermore, we detected a decrease in diversification that, after application of different tests, was significant only for a minority of families. However, when diversification variation was analysed in a combined tree of all families, a global decline in diversification became significant. Therefore, although distorted by some methodological artefacts, we found an underlying signal of gradually decreasing diversification that suggests that ecological factors may have shaped the recent diversification of mammals. © 2011 The Authors. Journal of Evolutionary Biology © 2011 European Society For Evolutionary Biology.J.C. is supported by grant number CGL2005-01341/BOS from the Plan Nacional I+D+I of the MEC (Spain), cofinanced with FEDER funds. V.S. is recipient of a FPI fellowship associated with this grant. Ministerio de Educación y Ciencia (España)Peer Reviewe

Congruence test of molecular clock calibration hypotheses based on Bayes factor comparisons

Molecular clock calibration is a crucial step for placing phylogenetic trees in the temporal framework required to test evolutionary hypotheses and estimate evolutionary rates. In general, most authors agree that the best approach is to incorporate multiple calibrations to avoid the risk of bias associated with a single dating source. However, the indiscriminate inclusion of as many calibration points as possible can lead to tree shape distortion and an overestimation of the variation in evolutionary rates among branches due to errors in the geological, paleontological or paleogeographic information used for dating. We present a test of congruence among calibration hypotheses to assist their filtering prior to molecular clock analysis, which we have called Bayes Factor Cluster Analysis (BFCA). This is a heuristic method based on the comparison of pairwise calibrations hypotheses by Bayes factors that allows identifying sets of congruent calibrations. We have tested BFCA through simulation using beast and mcmctree programs and analysed a real case of multiple calibration hypotheses to date the evolution of the genus Carabus (Coleoptera: Carabidae). The analyses of simulated data showed the predictability of change in Bayes factors when comparing alternative calibration hypotheses on a particular tree topology, and thus the suitability of BFCA in identifying unreliable calibrations, especially in cases with limited variation in evolutionary rates among branches. The exclusion of inconsistent calibrations as identified by BFCA produced significant changes in the estimation of divergence times and evolutionary rates in the genus Carabus, illustrating the importance of filtering calibrations before analyses. The method has been implemented in an open-source R package called bfca to simplify its application. © 2013 British Ecological Society.This work was supported by the Spanish Ministry of Science and Innovation (CGL2006/06706 and CGL2009-10906 to C.A. and J.S. and CGL2008-00007 to J.G.-Z., the latter also with support of the European Regional Development Fund). CA received support from an FPU predoctoral studentship (Spanish Ministry of Education).Peer Reviewe

Filogenia, diversificación y especiación de mamíferos estudiadas con genes mitocondriales y nucleares

Ponencia presentada en el XVII Seminario de Genética de poblaciones y evolución celebrado en Ribadesella (Asturias) del 12 al 15 de noviembre de 2011.Peer Reviewe

Adaptive zones shape the magnitude of premating reproductive isolation in Timema stick insects

Simpson’s fossil-record inspired model of ‘adaptive zones’ proposes that evolution is dominated by small fluctuations within adaptive zones, occasionally punctuated by larger shifts between zones. This model can help explain why the process of population divergence often results in weak or moderate reproductive isolation (RI), rather than strong RI and distinct species. Applied to the speciation process, the adaptive zones hypothesis makes two inter-related predictions: (i) large shifts between zones are relatively rare, (ii) when large shifts do occur they generate stronger RI than shifts within zones. Here, we use ecological, phylogenetic and behavioural data to test these predictions in Timema stick insects. We show that host use in Timema is dominated by moderate shifts within the systematic divisions of flowering plants and conifers, with only a few extreme shifts between these divisions. However, when extreme shifts occur, they generate greater RI than do more moderate shifts. Our results support the adaptive zones model, and suggest that the net contribution of ecological shifts to diversification is dependent on both their magnitude and frequency. We discuss the generality of our findings in the light of emerging evidence from diverse taxa that the evolution of RI is not always the only factor determining the origin of species diversity. This article is part of the theme issue ‘Towards the completion of speciation: the evolution of reproductive isolation beyond the first barriers’