Temperature synchronizes temporal variation in laying dates across European hole-nesting passerines

Publisher Copyright: © 2022 The Authors. Ecology published by Wiley Periodicals LLC on behalf of The Ecological Society of America.Identifying the environmental drivers of variation in fitness-related traits is a central objective in ecology and evolutionary biology. Temporal fluctuations of these environmental drivers are often synchronized at large spatial scales. Yet, whether synchronous environmental conditions can generate spatial synchrony in fitness-related trait values (i.e., correlated temporal trait fluctuations across populations) is poorly understood. Using data from long-term monitored populations of blue tits (Cyanistes caeruleus, n = 31), great tits (Parus major, n = 35), and pied flycatchers (Ficedula hypoleuca, n = 20) across Europe, we assessed the influence of two local climatic variables (mean temperature and mean precipitation in February–May) on spatial synchrony in three fitness-related traits: laying date, clutch size, and fledgling number. We found a high degree of spatial synchrony in laying date but a lower degree in clutch size and fledgling number for each species. Temperature strongly influenced spatial synchrony in laying date for resident blue tits and great tits but not for migratory pied flycatchers. This is a relevant finding in the context of environmental impacts on populations because spatial synchrony in fitness-related trait values among populations may influence fluctuations in vital rates or population abundances. If environmentally induced spatial synchrony in fitness-related traits increases the spatial synchrony in vital rates or population abundances, this will ultimately increase the risk of extinction for populations and species. Assessing how environmental conditions influence spatiotemporal variation in trait values improves our mechanistic understanding of environmental impacts on populations.Peer reviewe

Urethritis bij de man in de huisartsenpraktijk. Soa's vooral op jongere leeftijd

To estimate the incidence of urethritis in men in Dutch general practice, the applied diagnostic procedures in relation to existing guidelines, and the underlying causes. Descriptive. The incidence of urethritis in the period 1998-2007 was calculated from data received from 45 GP sentinel stations. The network of participating general practices is nationally representative of age, sex and geographical distribution, and of distribution between town and countryside. From 2004 to 2007 additional questionnaires for each patient were filled in by the general practitioner, and were analysed for applied diagnostics and final diagnosis. From 1998-2003 the incidence of urethritis increased from 17 to 25 per 10,000 men and decreased to 20 per 10,000 men in 2007. The highest incidence of urethritis was found in urban areas and in the 15-34 years age group. Penile discharge was reported in 82% of the men for whom a questionnaire was filled out. In 10% of the men without discharge the first voided urine sediment was assessed for the presence of leucocytes. Diagnostic tests were generally carried out on urethral smears and sometimes on urine samples. 10.5% of the men were not tested. In 76% of men both gonorrhoea and Chlamydia were tested and found to be positive in 11% and 28% respectively. The remaining cases (62%) were defined as non-specific urethritis, in which in the majority no microbiological pathogen was identified. Urethritis was more often caused by gonorrhoea and/or Chlamydia in younger men, while it was more often diagnosed as non-specific urethritis in older men. One third of men with urethritis who underwent laboratory tests had a Chlamydia or gonorrhoea infection. In the majority of cases no pathogen was identified. Compliance with the diagnostic guidelines for urethritis may be improved by more frequent testing of first voided urine sample

Rates and determinants of progressive aortic valve dysfunction in aortic coarctation

Aortic valve dysfunction is common in coarctation patients(CoA). Bicuspid aortic valve (BAV) in CoA is associated with aortic valve stenosis (AS), aortic valve regurgitation (AR), and ascending aortic dilatation. The aim of this study was to evaluate the progression of and predictors for aortic valve dysfunction in CoA. 96 CoA patients prospectively underwent echocardiography twice between 2001 and 2010. AS was defined as an aortic valve gradient ≥ 20 mmHg, AR as none/minor, or moderate/severe. Aortic dilatation as an ascending aortic diameter ≥ 37 mm. All patients (median age 28.0 years, range 17-61 years; male 57%) were followed with a median follow-up of 7.0 years. Sixty patients (63%) had BAV. At baseline 10 patients had AS (10%, 9 BAV), 6 patients AR (6%, 3 BAV) and 11 patients aortic dilatation (11%, 11 BAV). At follow-up 15 patients had AS (15%, 13 BAV) and 12 patients AR. (13%, 8 BAV). Median AS progression was 1.1 mmHg/5 years (range - 13-28). Determinants for AS at follow-up were age (ß=0.20, P=0.01), aortic dilatation (ß=4.6, P=0.03), and baseline aortic valve gradient (ß=0.93, P <0.001). BAV was predictive for AR. (ß=0.91, P=0.049). Progression of AS in adult CoA patients is mild in this young population. Older age, aortic dilatation and the baseline aortic valve gradient are determinants for AS at follow-up. BAV is predictive for AR. These findings point towards a common embryological pathway of both valvular and aortic disease in Co

Capturing the SARS-CoV-2 infection pyramid within the municipality of Rotterdam using longitudinal sewage surveillance

Despite high vaccination rates in the Netherlands, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to circulate. Longitudinal sewage surveillance was implemented along with the notification of cases as two parts of the surveillance pyramid to validate the use of sewage for surveillance, as an early warning tool, and to measure the effect of interventions. Sewage samples were collected from nine neighborhoods between September 2020 and November 2021. Comparative analysis and modeling were performed to understand the correlation between wastewater and case trends. Using high resolution sampling, normalization of wastewater SARS-CoV-2 concentrations, and ‘normalization’ of reported positive tests for testing delay and intensity, the incidence of reported positive tests could be modeled based on sewage data, and trends in both surveillance systems coincided. The high collinearity implied that high levels of viral shedding around the onset of disease largely determined SARS-CoV-2 levels in wastewater, and that the observed relationship was independent of variants of concern and vaccination levels. Sewage surveillance alongside a large-scale testing effort where 58 % of a municipality was tested, indicated a five-fold difference in the number of SARS-CoV-2-positive individuals and reported cases through standard testing. Where trends in reported positive cases were biased due to testing delay and testing behavior, wastewater surveillance can objectively display SARS-CoV-2 dynamics for both small and large locations and is sensitive enough to measure small variations in the number of infected individuals within or between neighborhoods. With the transition to a post-acute phase of the pandemic, sewage surveillance can help to keep track of re-emergence, but continued validation studies are needed to assess the predictive value of sewage surveillance with new variants. Our findings and model aid in interpreting SARS-CoV-2 surveillance data for public health decision-making and show its potential as one of the pillars of future surveillance of (re)emerging viruses

Rise and fall of SARS-CoV-2 variants in Rotterdam: Comparison of wastewater and clinical surveillance

Monitoring of SARS-CoV-2 in wastewater (WW) is a promising tool for epidemiological surveillance, correlating not only viral RNA levels with the infection dynamics within the population, but also to viral diversity. However, the complex mixture of viral lineages in WW samples makes tracking of specific variants or lineages circulating in the population a challenging task. We sequenced sewage samples of 9 WW-catchment areas within the city of Rotterdam, used specific signature mutations from individual SARS-CoV-2 lineages to estimate their relative abundances in WW and compared them against those observed in clinical genomic surveillance of infected individuals between September 2020 and December 2021. We showed that especially for dominant lineages, the median of the frequencies of signature mutations coincides with the occurrence of those lineages in Rotterdam's clinical genomic surveillance. This, along with digital droplet RT-PCR targeting signature mutations of specific variants of concern (VOCs), showed that several VOCs emerged, became dominant and were replaced by the next VOC in Rotterdam at different time points during the study. In addition, single nucleotide variant (SNV) analysis provided evidence that spatio-temporal clusters can also be discerned from WW samples. We were able to detect specific SNVs in sewage, including one resulting in the Q183H amino acid change in the Spike gene, that was not captured by clinical genomic surveillance. Our results highlight the potential use of WW samples for genomic surveillance, increasing the set of epidemiological tools to monitor SARS-CoV-2 diversity

Temperature synchronizes temporal variation in laying dates across European hole‐nesting passerines

Identifying the environmental drivers of variation in fitness-related traits is a central objective in ecology and evolutionary biology. Temporal fluctuations of these environmental drivers are often synchronized at large spatial scales. Yet, whether synchronous environmental conditions can generate spatial synchrony in fitness-related trait values (i.e., correlated temporal trait fluctuations across populations) is poorly understood. Using data from long-term monitored populations of blue tits (Cyanistes caeruleus, n = 31), great tits (Parus major, n = 35), and pied flycatchers (Ficedula hypoleuca, n = 20) across Europe, we assessed the influence of two local climatic variables (mean temperature and mean precipitation in February–May) on spatial synchrony in three fitness-related traits: laying date, clutch size, and fledgling number. We found a high degree of spatial synchrony in laying date but a lower degree in clutch size and fledgling number for each species. Temperature strongly influenced spatial synchrony in laying date for resident blue tits and great tits but not for migratory pied flycatchers. This is a relevant finding in the context of environmental impacts on populations because spatial synchrony in fitness-related trait values among populations may influence fluctuations in vital rates or population abundances. If environmentally induced spatial synchrony in fitness-related traits increases the spatial synchrony in vital rates or population abundances, this will ultimately increase the risk of extinction for populations and species. Assessing how environmental conditions influence spatiotemporal variation in trait values improves our mechanistic understanding of environmental impacts on populations

Temperature synchronizes temporal variation in laying dates across European hole-nesting passerines

Abstract Identifying the environmental drivers of variation in fitness-related traits is a central objective in ecology and evolutionary biology. Temporal fluctuations of these environmental drivers are often synchronized at large spatial scales. Yet, whether synchronous environmental conditions can generate spatial synchrony in fitness-related trait values (i.e., correlated temporal trait fluctuations across populations) is poorly understood. Using data from long-term monitored populations of blue tits (Cyanistes caeruleus, n = 31), great tits (Parus major, n = 35), and pied flycatchers (Ficedula hypoleuca, n = 20) across Europe, we assessed the influence of two local climatic variables (mean temperature and mean precipitation in February-May) on spatial synchrony in three fitness-related traits: laying date, clutch size, and fledgling number. We found a high degree of spatial synchrony in laying date but a lower degree in clutch size and fledgling number for each species. Temperature strongly influenced spatial synchrony in laying date for resident blue tits and great tits but not for migratory pied flycatchers. This is a relevant finding in the context of environmental impacts on populations because spatial synchrony in fitness-related trait values among populations may influence fluctuations in vital rates or population abundances. If environmentally induced spatial synchrony in fitness-related traits increases the spatial synchrony in vital rates or population abundances, this will ultimately increase the risk of extinction for populations and species. Assessing how environmental conditions influence spatiotemporal variation in trait values improves our mechanistic understanding of environmental impacts on populations