Snidernieves9705

Population genetic structures are reviewed at different spatial scales local, regional or continental (i.e. phylogeography). Within species genetic diversities are discussed compared and the compounding factors discussed, including the effect of mass drug administration. Finally, the ability for intra-species hybridisation questions species integrities and poses many questions in relation to the natural epidemiology of co-endemic species. Here we review molecularly confirmed hybridisation events (in relation to human disease) and discuss the possible impact for ongoing and future control and elimination.Phlebotomine sand flies are considered the main vectors of Leishmania, the causal agents of leishmaniasis, which is a serious emerging public health problem worldwide. The use of biological control alternatives, like endosymbiotic bacteria (Wolbachia and Rickettsia), have been proposed to decrease sand fly populations and reduce Leishmania transmissions, yet only few records on the detection of Wolbachia or Rickettsia in sand flies are available worldwide. The aim of this study was to perform the molecular detection of Rickettsial agents associated with sand flies from the last patch of a rainforest in south-eastern Mexico, where a high prevalence of Leishmania infantum has been reported. Sampling effort of sand flies covered 300 trap-nights between 2011 and 2013, and a total of 925 specimens from twelve species were morphologically identified. Using PCR techniques, we identified a new lineage of the endosymbionts Rickettsia in Psathyromyia aclydifera (prevalence of 19.54%), and Wolbachia in Psathyromyia shannoni and Lutzomyia sp. (prevalence of 25%). The detected Wolbachia lineage was similar to the wWhi strain found in Pa. shannoni from Colombia and Nyssomyia whitmani from Brazil; whereas the identified Rickettsia represents a new lineage worldwide. This is the first record of Rickettsial agents associated to sand flies from this region, yet it remains for analysed if these bacteria possibly play a role as vector control agents, capable of reducing the sand fly populations in Mexico.Global distributions of zoonotic pathogens have been strongly affected by the history of human dispersal and domestication of livestock. The pork tapeworm Taenia solium is distributed worldwide as the cause of neurocysticercosis, one of the most serious neglected tropical diseases. T. solium has been reported in Indonesia but only endemic to restricted areas such as Bali and Papua. Previous studies indicated the distinctiveness of a mitochondrial haplotype confirmed in Papua, but only one isolate has been examined to date. In this study, genetic characterization of T. solium and pigs in Bali and Papua was conducted to clarify the distributional history of the parasite. Mitochondrial haplotype network analysis clearly showed that Indonesian T. solium comprises a unique haplogroup which was the first to diverge among Asian genotypes, indicating its single origin and the fact that it was not introduced in the recent past from other area in Asia in which it is endemic. Although phylogenetic analysis based on the mitochondrial D-loop revealed multiple origins of pigs in Bali and Papua, the majority of pigs belonged to the Pacific Clade, which is widely dispersed throughout the Island Southeast Asia (ISEA) and Oceania due to Neolithic human dispersal. Given the results of our network analysis, it is likely that the Pacific Clade pigs played a key role in the dispersal of T. solium. The data suggest that T. solium was introduced from mainland Asia into Western Indonesia, including Bali, by modern humans in the late Pleistocene, or in the early to middle Holocene along with the Pacific Clade pigs. Introduction into New Guinea most likely occurred in the late Holocene through the spread of Pacific Clade pigs. Over time, T. solium has been eradicated from most of Indonesia through the middle to modern ages owing to religious and cultural practices.Despite the necessity to understand how the brain endures the initial stages of age-associated cognitive decline, no brain mechanism has been quantitatively specified to date. The brain may withstand the effects of cognitive aging through redundancy, a design feature in engineered and biological systems, which entails the presence of substitute elements to protect it against failure. Here, we investigated the relationship between functional network redundancy and age over the human lifespan and their interaction with cognition, analyzing resting-state functional MRI images and cognitive measures from 579 subjects. Network-wide redundancy was significantly associated with age, showing a stronger link with age than other major topological measures, presenting a pattern of accumulation followed by old-age decline. Critically, redundancy significantly mediated the association between age and executive function, with lower anti-correlation between age and cognition in subjects with high redundancy. NF-κB inhibitor The results suggest that functional redundancy accrues throughout the lifespan, mitigating the effects of age on cognition.It has been hypothesized that resting state networks (RSNs), extracted from resting state functional magnetic resonance imaging (rsfMRI), likely display unique temporal complexity fingerprints, quantified by their multiscale entropy patterns (McDonough and Nashiro, 2014). This is a hypothesis with a potential capacity for developing digital biomarkers of normal brain function, as well as pathological brain dysfunction. Nevertheless, a limitation of McDonough and Nashiro (2014) was that rsfMRI data from only 20 healthy individuals was used for the analysis. To validate this hypothesis in a larger cohort, we used rsfMRI datasets of 987 healthy young adults from the Human Connectome Project (HCP), aged 22-35, each with four 14.4-min rsfMRI recordings and parcellated into 379 brain regions. We quantified multiscale entropy of rsfMRI time series averaged at different cortical and sub-cortical regions. We performed effect-size analysis on the data in 8 RSNs. Given that the morphology of multiscale entropy is affected by the choice of its tolerance parameter (r) and embedding dimension (m), we repeated the analyses at multiple values of r and m including the values used in McDonough and Nashiro (2014).