Current and Historical Drivers of Landscape Genetic Structure Differ in Core and Peripheral Salamander Populations

With predicted decreases in genetic diversity and greater genetic differentiation at range peripheries relative to their cores, it can be difficult to distinguish between the roles of current disturbance versus historic processes in shaping contemporary genetic patterns. To address this problem, we test for differences in historic demography and landscape genetic structure of coastal giant salamanders (Dicamptodon tenebrosus) in two core regions (Washington State, United States) versus the species' northern peripheral region (British Columbia, Canada) where the species is listed as threatened. Coalescent-based demographic simulations were consistent with a pattern of post-glacial range expansion, with both ancestral and current estimates of effective population size being much larger within the core region relative to the periphery. However, contrary to predictions of recent human-induced population decline in the less genetically diverse peripheral region, there was no genetic signature of population size change. Effects of current demographic processes on genetic structure were evident using a resistance-based landscape genetics approach. Among core populations, genetic structure was best explained by length of the growing season and isolation by resistance (i.e. a ‘flat’ landscape), but at the periphery, topography (slope and elevation) had the greatest influence on genetic structure. Although reduced genetic variation at the range periphery of D. tenebrosus appears to be largely the result of biogeographical history rather than recent impacts, our analyses suggest that inherent landscape features act to alter dispersal pathways uniquely in different parts of the species' geographic range, with implications for habitat management

Secretion systems of pathogenic escherichia coli

Protein secretion plays a central role in modulating the interactions of bacteria with their environments. Bacterial ribosomes synthesize up to 8000 different proteins. Almost half of these become integrated in membranes and are secreted to the periplasm or to the external milieu. Many bacterial processes , such as DNA replication, motility, transport, antibiotic resistance, scavenging of chemicals, and pathogenesis, depend on protein secretion. Thereby, evolutionarily unrelated protein nanomachines have been developed, which allow exported proteins to cross the Gram-negative membranes. Bacterial proteins can be exported directly from the cytoplasm out of the cell by a one-step (cytoplasm to extracellular milieu), including the type I secretion system (T1SS), T3SS, T4SS, and T6SS, or two-step (periplasm translocation step), including the T2SS and T5SS, while the T4SS can use either the one- or two-step mechanism. The T3SS, T5SS, and T6SS are the more common secretion systems in Escherichia coli and most of the secreted substrates are virulence factors related to pathogenic E. coli . In this chapter, we will describe the main characteristic of these last three secretion systems.Inst. de BiotecnologíaFil: Navarro-García, Fernando. Instituto Politécnico Nacional. Centro de Investigación y de Estudios Avanzados.Departamento de Biología Celular; MéxicoFil: Ruiz-Perez, Fernando. University of Virginia School of Medicine. Department of Pediatrics; Estados UnidosFil: Larzabal, Mariano. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Cataldi, Angel Adrian. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentin

Viral resuppression and detection of drug resistance following interruption of a suppressive non-nucleoside reverse transcriptase inhibitor-based regimen.

Collaboratore per la suddetta ricerca multicentrica in quanto membro di SMART Study Group

Interruption of antiretroviral therapy is associated with increased plasma cystatin C.

Collaboratore della suddetta ricerca in quanto membro del INSIGHT SMART Study Grou

Inferior clinical outcome of the CD4+ cell count-guided antiretroviral treatment interruption strategy in the SMART study: role of CD4+ Cell counts and HIV RNA levels during follow-up.

Collaboratore per la suddetta ricerca in quanto membro di SMART Study Grou

Risk for opportunistic disease and death after reinitiating continuous antiretroviral therapy in patients with HIV previously receiving episodic therapy: a randomized trial.

Collaboratore per la suddetta ricerca multicentrica in quanto membro di SMART Study Grou