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Large-scale genetic census of an elusive carnivore, the European wildcat (Felis s. silvestris)
(2016)
The European wildcat, Felis silvestris silvestris, serves as a prominent target species for the reconnection of central European forest habitats. Monitoring of this species, however, appears difficult due to its elusive behaviour and the ease of confusion with domestic cats. Recently, evidence for multiple wildcat occurrences outside its known distribution has accumulated in several areas across Central Europe, questioning the validity of available distribution data for this species. Our aim was to assess the fine-scale distribution and genetic status of the wildcat in its central European distribution range. We compiled and analysed genetic samples from roadkills and hundreds of recent hair-trapping surveys and applied phylogenetic and genetic clustering methods to discriminate wild and domestic cats and identify population subdivision. 2220 individuals were confirmed as either wildcat (n = 1792) or domestic cat (n = 342), and the remaining 86 (3.9 %) were identified as hybrids between the two. Remarkably, genetic distinction of domestic cats, wildcats and their hybrids was only possible when taking into account the presence of two highly distinct genetic lineages of wildcats, with a suture zone in central Germany. 44 % of the individual wildcats where sampled outside the previously published distribution. Our analyses confirm a relatively continuous spatial presence of wildcats across large parts of the study area in contrast to previous analyses indicating a highly fragmented distribution. Our results suggest that wildcat conservation and management should take advantage of the higher than previously assumed dispersal potential of wildcats, which may use wildlife corridors very efficiently.
The aim of this systematic review was to assess the effects of genetic variations and polymorphisms on endurance performance, muscle strength and injury susceptibility in competitive sports. The electronic databases PubMed and Web of Science were searched for eligible studies. The study quality was assessed using the RoBANS tool. Studies were included if they met the following criteria: (1) human study in English or German; (2) published in the period 2015–2019; (3) investigation of an association between genetic variants and endurance performance and/or muscle strength and/or endurance/strength training status as well as ligament, tendon, or muscle injuries; (4) participants aged 18–60 years and national or international competition participation; (5) comparison with a control group. Nineteen studies and one replication study were identified. Results revealed that the IGF-1R 275124 A>C rs1464430 polymorphism was overrepresented in endurance trained athletes. Further, genotypes of PPARGC1A polymorphism correlated with performance in endurance exercise capacity tests in athletes. Moreover, the RR genotype of ACTN3 R577X polymorphism, the C allele of IGF-1R polymorphism and the gene variant FTO T>A rs9939609 and/or their AA genotype were linked to muscle strength. In addition, gene variants of MCT1 (T1470A rs1049434) and ACVR1B (rs2854464) were also positively associated with strength athletes. Among others, the gene variants of the MMP group (rs591058 and rs679620) as well as the polymorphism COL5A1 rs13946 were associated with susceptibility to injuries of competitive athletes. Based on the identified gene variants, individualized training programs for injury prevention and optimization of athletic performance could be created for competitive athletes using gene profiling techniques.
Highlights
• Inflammatory markers and cognitive performance correlated significantly in closed-, but mostly not in open-skill sports.
• The ratio TNF-α:IL-10 significantly predicted working memory and cognitive flexibility in closed-skill sports.
• Biomarkers for metabolism (fT3, IGFBP-1, leptin) significantly predicted processing speed and selective attention across all athletes.
• Better cognitive flexibility was associated with higher levels of vitamin D.
• Indicators for recovery and stress (creatinine & psychological ratings) explained variance in processing speed and working memory.
Abstract
Functional cognition is relevant for athletic success and interdependent with physical exercise, yet despite repeatedly demonstrated inflammatory responses to physical training, there are no studies addressing the relationship between cognition and inflammation in athletes. The aim of this study was to investigate the relationship between cognitive performance and selected inflammatory, and further physiological biomarkers in elite athletes. Data from 350 elite athletes regarding cognitive performance (processing speed, selective attention, working memory, cognitive flexibility), systemic inflammatory markers, metabolic hormones, growth factors, tissue damage markers, and micronutrients (e.g., ferritin, 25-OH-vitamin D), as well as physiological, subjective ratings of recovery and stress were analysed by correlative and multiple regression analyses. Results show that across all athletes variance in processing speed, selective attention, and working memory, could be best explained through a combination of metabolic hormones with physiological and psychological indicators of stress, and in cognitive flexibility through vitamin D levels. Only for the subgroup of athletes from closed-skill sports, the ratio TNF-α:IL-10 significantly contributed to explanation of variance in working memory and cognitive flexibility. In general, found correlations point to the importance of inflammatory balance and sufficient long-term nutrient supply for unaffected cognitive performance.