Mackinnonmosegaard8523

The specialization of parasitic plants from the Orobanchaceae family to the heterotrophic lifestyle caused several morphological, physiological and molecular changes. One of the adaptations to the parasitic lifestyle is the production of a large number of the smallest seeds in world flora, also called "dust-seeds". Seeds of 34 holoparasitic species from the Cistanche, Orobanche, Phelipanche, and Phelypaea genera were collected in the Caucasus region (54 samples) and their fatty acid content and compositions analysed. Of these seeds, 28 were investigated for the first time, and 12 are endemic to the Caucasus (one of the most important biodiversity hotspots in the world). The influence of different hosts, populations, habitats, and climatic conditions on the fatty acid content and composition, as well as some connections of taxonomic classification are discussed. The fatty acid content in the species varied between 0.9 and 42.5%, and showed quantitative differences at generic and infrageneric levels, while displaying uniform fatty acid composition. Thirteen fatty acids were identified, of which nine were undescribed for Orobanchaceae. The fatty acid composition of the Orobanchaceae seeds represented a mixture of saturated fatty acids (SFAs) (average 7.8%) and unsaturated fatty acids (UFAs) (average 92.2%). The fatty acid content in the Orobanchaceae seeds was directly unrelated to taxonomy, while the n-6/n-3 fatty acid ratio supported the clear separation of the Orobanche and Phelipanche genera. Orobanchaceae seeds contained mainly linoleic and oleic acids, thus they could be a potential nutritional source of the unsaturated fatty acids. Additionally, the studies confirmed the hypothesis that the degree of seed oil fatty acid unsaturation increased in colder climatic conditions, especially for the Orobanche genus.Canine brucellosis, caused by Brucella canis, is an infectious disease with implications for canine as well as human health. The identification of infected dogs originating from and around two South Dakota Indian reservations prompted an examination of the seroprevalence of B. canis in stray or owner-surrendered dogs from these communities. Using results from in-clinic screening tests of 3898 dogs over more than 4 years, we determined an overall apparent B. canis seroprevalence of 6.8% (adjusted estimated true prevalence of 29.4%), with rates declining over time. The apparent rate was similar to other surveys of stray dog populations in the US. Older dogs were significantly more likely to be B. canis-positive than younger dogs, as were reproductively intact dogs versus altered dogs (although this difference was not statistically significant). There were geographic differences in seropositive rates as well, with higher rates found in dogs originating from one reservation compared to other locations. Current diagnostic tests lack sensitivity to effectively identify all B. canis-infected dogs, but results from this study are valuable for investigating differences among risk factors for infection. Because of the potential for B. canis to infect other dogs and people, stray dog populations should be screened for B. canis before those animals are placed in adoptive homes.Anthrax is one of the most neglected tropical disease affecting humans, livestock, and wildlife worldwide. The disease is caused by soil-borne spore-forming bacteria called Bacillus anthracis. A machine learning algorithm with the biomod2 package of R software was used to develop a predictive map for the Amhara regional state of Ethiopia. One hundred twenty-eight georeferenced confirmed outbreak reports of anthrax in livestock and 11 bioclimatic, eight soil characteristics, and three livestock density variables were used to train the model. The algorithm was set to run 3-fold with a total of 27 outputs for the nine selected models. An ensemble model was developed with ROC evaluation metrics set at 0.8. The ensemble model showed an improved performance than the individual models (KAPPA, TSS, and ROC values of 0.86, 0.93, and 0.99, respectively). Variables like annual precipitation (22.51 %), precipitation of warmest quarter (14.17 %), precipitation of wettest month (11.61 %), cattle density (9.67 %), sheep density (6.6 %), annual maximum temperature (6.17 %), altitude/elevation (5.24 %), and sand content (4.83 %) contributed the highest share in the ensemble model. The predicted suitable areas were primarily in the Central and Southern parts of the region. West Gojam and South Gondar zones were found highly suitable; while parts of Waghemira, North Wollo, and South Wollo were not significantly suitable. Besides, East Gojam, North Gondar, and Awi administrative zones were also reasonably suitable to Bacillus anthracis. The study can be used as a basis in the planning of prevention and control approaches of anthrax outbreaks in the region. Administrative zones like West Gojam, South Gondar, Awi, and East Gojam have to be prioritized as a risky-areas in the planning of preventive measures of anthrax in the region.France recently faced two epizootic waves of highly pathogenic avian influenza (HPAI) in poultry (H5N6 in 2015-2016 and H5N8 in 2016-2017), mainly in the fattening duck production sector. Vaccination against avian influenza (AI) is currently not authorised in France even though its potential benefits were discussed during these epizootic events. The objective of this work was to evaluate the potential efficiency of different vaccination strategies that could be applied against AI in France. The EVACS tool, which is a decision support tool developed to evaluate vaccination strategies, was applied in several French poultry production sectors broiler, layer, turkey, duck and guinea fowl. EVACS was used to simulate the performance of vaccination strategies in terms of vaccination coverage, immunity levels and spatial distribution of the immunity level. A cost-benefit analysis was then applied based on EVACS results to identify the most efficient strategy. For each sector, vaccination protocols were tested accordiusly spatially distributed protective levels were reached in the overall poultry population with vaccination strategies targeting breeders, chicken layers and broilers and turkeys, without the need to include ducks and guinea fowls. However, vaccination strategies involving the highest number of species and production types were the most efficient in terms of cost-benefit. This study provides critical information on the efficiency of different vaccination strategies to support future decision making in case vaccination was applied to prevent and control HPAI in France.Age estimation is an important procedure in the forensic practice, especially when it comes to the criminal imputability of juvenile offenders. This study aimed to compare two radiographic methods for dental age estimation in a population of subadults from Northeast Brazil considering their performance on allocating individuals below or above the age threshold of 18 years. A cross-sectional observational study was designed. The sample consisted of 1200 panoramic radiographs of Northeastern Brazilian females (n = 600) and males (n = 600) aged between 16 and 21 years. Dental age estimation was performed using the London Atas technique and Cameriere's third molar maturity index (I3M). Statistical tests were performed to assess the sensitivity, specificity and accuracy of the two methods on distinguishing individuals below or above the legal age threshold of 18 years. Considering the total sample, the London Atlas technique reached sensitivity of 92.3%, specificity of 56% and accuracy of 79.9%. I3M revealed sensitivity of 94.1%, specificity of 55.4% and accuracy of 79.8%. Specificity rates systematically decreased when the sample was progressively stratified based on age groups that narrowed close to 18 years. The methods performed very similar (0.878). The combination of methods did not improve the performance on dental age estimation. The London Atlas and the I3M methods similarly distinguished Brazilian individuals as minors or not. Their performance, however, was suboptimal because of the low rates of specificity that could negatively influence on Court decisions. In other words, the methods could wrongly classify minors into the age of legal majority (culminating in false positives). In practice, the misleading classification could restrict individual rights (in the civil scenario) or even support more severe penalties (in the criminal scenario).In a few months, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has become the main health problem worldwide. Epidemiologic studies revealed that populations have different vulnerabilities to SARS-CoV-2. Severe outcomes of the coronavirus disease 2019 (COVID-19) with an increased risk of death are observed in patients with metabolic syndrome, as well as diabetic and heart conditions (frail population). Excessive proinflammatory cytokine storm could be the main cause of increased vulnerability in this frail population. In patients with diabetes and/or heart disease, a low inflammatory state is often associated with gut dysbiosis. The increase amount of microbial metabolites (i.e., trimethylamine N-oxide and lipopolysaccharide), which generate an inflammatory microenvironment, is probably associated with an improved risk of severe illness from COVID-19. Nutritional interventions aimed at restoring the gut microbial balance could represent preventive strategies to protect the frail population from COVID-19. This narrative review presents the possible molecular mechanisms by which intestinal dysbiosis that enhances the inflammatory state could promote the spread of SARS-CoV-2 infection. Some nutritional strategies to counteract inflammation in frail patients are also analyzed.Over the last two decades, proteomics have been employed to decipher the underlying factors contributing to variation in the quality of muscle foods, including beef tenderness. One such approach is the application of high-throughput protein analytical platforms in the identification of meat quality biomarkers. To broaden our understanding about the biological mechanisms underpinning meat tenderization across a large number of studies, an integromics study was performed to review the current status of protein biomarker discovery targeting beef tenderness. This meta-analysis is the first to gather and propose a comprehensive list of 124 putative protein biomarkers derived from 28 independent proteomics-based experiments, from which 33 robust candidates were identified worthy of evaluation using targeted or untargeted data-independent acquisition proteomic methods. We further provide an overview of the interconnectedness of the main biological pathways impacting tenderness determination after multistep analyses including Gene Ontology annotations, pathway and process enrichment and literature mining, and specifically discuss the major proteins and pathways most often reported in proteomics research.Although there is considerable evidence that at least some helping behavior is motivated by genuine concern for others' well-being, sometimes we also help solely out of a sense of obligation to the persons in need. Our sense of obligation to help may be particularly strong when there is common knowledge between the helper and the helpee that the helpee needs help. To test whether children's helping behavior is affected by having common knowledge with the recipient about the recipient's need, 6-year-olds faced a dilemma They could either collect stickers or help an experimenter. Children were more likely to help when they and the experimenter had common knowledge about the experimenter's plight (because they heard it together) than when they each had private knowledge about it (because they heard it individually). These results suggest that already in young children common knowledge can heighten the sense of obligation to help others in need.