No abstract

Beginning in late 2016 Brazil faced the worst outbreak of Yellow Fever in recent decades, mainly located in southeastern rural regions of the country. In the present study we characterize the Yellow Fever Virus (YFV) associated with this outbreak in São Paulo State, Brazil. Blood or tissues collected from 430 dead monkeys and 1030 pools containing a total of 5,518 mosquitoes were tested for YFV by quantitative RT-PCR, immunohistochemistry (IHC) and indirect immunofluorescence. A total of 67 monkeys were YFV-positive and 3 pools yielded YFV following culture in a C6/36 cell line. Analysis of five nearly full length genomes of YFV from collected samples was consistent with evidence that the virus associated with the São Paulo outbreak originated in Minas Gerais. The phylogenetic analysis also showed that strains involved in the 2016–2017 outbreak in distinct Brazilian states (i.e., Minas Gerais, Rio de Janeiro, Espirito Santo) intermingled in maximum-likelihood and Bayesian trees. Conversely, the strains detected in São Paulo formed a monophyletic cluster, suggesting that they were local-adapted. The finding of YFV by RT-PCR in five Callithrix monkeys who were all YFV-negative by histopathology or immunohistochemistry suggests that this YFV lineage circulating in Sao Paulo is associated with different outcomes in Callithrix when compared to other monkeys.

Genomic regions participating in recombination events may support distinct topologies, and phylogenetic analyses should incorporate this heterogeneity. Existing phylogenetic methods for recombination detection are challenged by the enormous number of possible topologies, even for a moderate number of taxa. If, however, the detection analysis is conducted independently between each putative recombinant sequence and a set of reference parentals, potential recombinations between the recombinants are neglected. In this context, a recombination hotspot can be inferred in phylogenetic analyses if we observe several consecutive breakpoints. We developed a distance measure between unrooted topologies that closely resembles the number of recombinations. By introducing a prior distribution on these recombination distances, a Bayesian hierarchical model was devised to detect phylogenetic inconsistencies occurring due to recombinations. This model relaxes the assumption of known parental sequences, still common in HIV analysis, allowing the entire dataset to be analyzed at once. On simulated datasets with up to 16 taxa, our method correctly detected recombination breakpoints and the number of recombination events for each breakpoint. The procedure is robust to rate and transition∶transversion heterogeneities for simulations with and without recombination. This recombination distance is related to recombination hotspots. Applying this procedure to a genomic HIV-1 dataset, we found evidence for hotspots and de novo recombination.

Infections caused by Human Rhinoviruses (HRVs) account for 25-50% of respiratory illnesses among individuals presenting influenza-like illness (ILI). HRVs could be classified in at least three species: HRV-A, HRV-B, and HRV-C. The HRV-C species has frequently been described among children and has led to severe illness resulting in hospitalization; however, the occurrence among adults is unknown. The aim of this study was to assess the clinical presentation and species distribution of HRV infections in different populations during 2001-2008. A total of 770 samples were collected. Subjects consisted of 136 adults from the general community and 207 health-care workers (2001-2003), 232 renal-transplanted outpatients (2002-2004), 70 children with congenital heart disease (2005) and 125 children from a day-care center (2008). Amplification of HRV genes was performed by reverse transcriptase-polymerase chain reaction (RT-PCR) and followed by sequencing and phylogenetic analysis. HRV was detected in 27.4% of samples (211/770), with 72 children (36.9%) and 139 adults infected (24.2%). A total of 89.61% (138/154) unknown HRV strains were sequenced, and 79.22% (122/138) were analyzed. We identified 74 isolates (60.7%) of the HRV A species, 21 (17.2%) of the HRV B species and 27 isolates (22.1%) of the HRV C species. HRV species A and B caused ILI among adult patients, whereas HRV-C did not. The dynamics of infection among different species deserve further analysis.

Half of subtype B Brazilian HIV-1 harbors the V3 tip GWGR instead of the GPGR. To investigate the evolution of GW variants, we analyzed 81 env sequences and 5 full-length GW genomes from antiretroviral-naive individuals sampled between 1983 and 1999. Phylogenetic analysis indicated that GW strains intermingle in the tree with other subtype B sequences. The mean d(N)/d(S) values of GW strains were proximal to those of the other sequences, regardless of sampling years or clinical status. In sequences from patients with CD4+ T cell counts >or=200 cells/microL, the mean d(N)/d(S) ratio was greater than one, suggesting a positive selection. The prevalence of GW variants was lower among individuals in whom disease progressed. This is probably attributable to the fact that tryptophan is replaced by other amino acids over time, whereas the GP motif does not evolve as rapidly.