Human immunodeficiency virus type 2 (HIV-2) emerged in West Africa and has spread further to countries that share socio-historical ties with this region. However, viral origins and dispersal patterns at a global scale remain poorly understood. Here, we adopt a Bayesian phylogeographic approach to investigate the spatial dynamics of HIV-2 group A (HIV-2A) using a collection of 320 partial pol and 248 partial env sequences sampled throughout 19 countries worldwide. We extend phylogenetic diffusion models that simultaneously draw information from multiple loci to estimate location states throughout distinct phylogenies and explicitly attempt to incorporate human migratory fluxes. Our study highlights that Guinea-Bissau, together with Cô te d'Ivoire and Senegal, have acted as the main viral sources in the early stages of the epidemic. We show that convenience sampling can obfuscate the estimation of the spatial root of HIV-2A. We explicitly attempt to circumvent this by incorporating rate priors that reflect the ratio of human flow from and to West Africa. We recover four main routes of HIV-2A dispersal that are laid out along colonial ties: Guinea-Bissau and Cape Verde to Portugal, Cô te d'Ivoire and Senegal to France. Within Europe, we find strong support for epidemiological linkage from Portugal to Luxembourg and to the UK. We demonstrate that probabilistic models can uncover global patterns of HIV-2A dispersal providing sampling bias is taken into account and we provide a scenario for the international spread of this virus.
Os vírus representam sérios obstáculos para o sucesso da olericultura no mundo inteiro, constituindo a identificação daqueles de maior incidência numa região, papel fundamental para o estabelecimento de estratégias de controle. Visitas de campo foram realizadas a plantios de espécies de cucurbitáceas em áreas produtoras do Maranhão e amostras foliares foram coletadas de 118 plantas com sintomas ou suspeita de sintomas de vírus, sendo 46 de abóbora (Cucurbita moschata), 30 de melancia (Citrullus lanatus), 23 de maxixe (Cucumis anguria), 13 de pepino (C. sativus) e seis de melão (C. melo). Todas as amostras foram testadas contra anti-soros específicos para os principais vírus das famílias Bromoviridae, Comoviridae e Potyviridae que infetam cucurbitáceas no Nordeste, mediante "enzyme-linked immunosorbent assay" (ELISA) indireto e dupla difusão em agar. Os resultados revelaram a identificação sorológica de Papaya ringspot vírus (PRSV) em 64,4% das amostras analisadas, seguido de Watermelon mosaic virus-2 (WMV-2) em 15,2%, Cucumber mosaic virus (CMV) em 6,8%, Squash mosaic virus (SqMV) em 3,4% e Zucchini yellow mosaic virus (ZYMV) em 3,4%. Este levantamento confirma a predominância do PRSV em espécies de cucurbitáceas cultivadas no estado do Maranhão.
Membrane electrodes (ME) were constructed using gold, glassy carbon and pyrolytic graphite supports and a dialysis membrane, and used to study the electrochemical behavior of small size electron transfer proteins: monohemic cytochrome c 522 from Pseudomonas nautica and cytochrome c 533 as well as rubredoxin from Desulfovibrio vulgaris . Different electrochemical techniques were used including cyclic voltammetry (CV), square wave voltammetry (SW) and differential pulse voltammetry (DP). A direct electrochemical response was obtained in all cases except with rubredoxin where a facilitator was added to the protein solution entrapped between the membrane and the electrode surface. Formal potentials and heterogeneous charge transfer rate constants were determined from the voltammetric data. The influence of the ionic strength and the pH of the medium on the electrochemical response at the ME were analyzed. The benefits from the use of the ME in protein electrochemistry and its role in modulating the redox behavior are analyzed. A critical comparison is presented with data obtained at non-MEs. Finally, the interactions that must be established between the proteins and the electrode surfaces are discussed, thereby modeling molecular interactions that occur in biological systems. #
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