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      Yellow fever in Brazil threatens successful recovery of endangered golden lion tamarins

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          Abstract

          The golden lion tamarin is an endangered primate endemic to Brazil’s Atlantic Forest. Centuries of deforestation reduced numbers to a few hundred individuals in isolated forest fragments 80 km from Rio de Janeiro city. Intensive conservation action including reintroduction of zoo-born tamarins into forest fragments 1984–2000, increased numbers to about 3,700 in 2014. Beginning in November 2016, southeastern Brazil experienced the most severe yellow fever epidemic/epizootic in the country in 80 years. In May 2018, we documented the first death of a golden lion tamarin due to yellow fever. We re-evaluated population sizes and compared them to results of a census completed in 2014. Tamarin numbers declined 32%, with ca. 2,516 individuals remaining in situ. Tamarin losses were significantly greater in forest fragments that were larger, had less forest edge and had better forest connectivity, factors that may favor the mosquito vectors of yellow fever. The future of golden lion tamarins depends on the extent of additional mortality, whether some tamarins survive the disease and acquire immunity, and the potential development of a vaccine to protect the species against yellow fever.

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          A new habitat availability index to integrate connectivity in landscape conservation planning: Comparison with existing indices and application to a case study

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            VORTEX: a computer simulation model for population viability analysis

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              Out of Africa: A Molecular Perspective on the Introduction of Yellow Fever Virus into the Americas

              Introduction Few diseases have attracted more attention from medical historians than yellow fever (YF). It was one of the most feared of epidemic diseases from the 15th to 19th centuries, when large scale outbreaks in port cities of North and South America, Africa, and Europe caused devastating mortality and helped to shape the expansion of settlements and colonial powers. The landmark studies of Walter Reed in 1900–1901 established that the disease was transmissible among humans via Aedes aegypti mosquitoes [1]. Within one year of Reed's discovery, the disease was successfully controlled in Cuba as a result of vigilant mosquito control campaigns [2]. Twenty-eight years later, yellow fever virus (YFV) became the first mosquito-borne virus to be identified [3]. Despite this legacy, YF is currently classified as a reemerging disease and remains a significant cause of morbidity and mortality, with an estimated 200,000 cases each year and 30,000 deaths [4,5]. Indeed, although a highly effective vaccine is available, epidemiological data suggest an alarming resurgence of virus circulation in West Africa over the last 20 years [6,7]. The failure to implement sustained vaccination programs reflects larger problems of poverty, civil war, and the inaccessibility of rural areas where outbreaks of the disease occur [8]. The agent of the disease, YFV, is a single-stranded, positive-sense RNA virus with a genome of approximately 11 kb. The virus is a member of the genus Flavivirus (family Flaviviridae), which contains a number of important vector-borne human pathogens, such as the dengue, Japanese encephalitis, and West Nile viruses. Previous evolutionary studies suggest that YFV originated in Africa, as the deepest phylogenetic split among viral genotypes is between those isolates sampled from East and West Africa [9–11]. What is less clear, however, is the timing and mechanism by which YFV was introduced to the Americas and whether the descendants of the earliest imported viruses still circulate today. The most commonly cited hypothesis of the origin of YFV in the Americas is that the virus was introduced from Africa, along with A. aegypti, in the bilges of sailing vessels during the slave trade. Subsequent to devastating urban outbreaks within port cities on both the east and west coasts of South America, the virus established a sylvatic enzootic cycle within the Amazon, Araguaia, and Orinoco river basins vectored by Haemagogus and Sabethes mosquitoes [12,13]. Although the hypothesis of a slave trade introduction is often repeated, it has not been subject to rigorous examination using gene sequence data and modern phylogenetic techniques for estimating divergence times [14]. Determining the age of American sylvan YFV is of particular interest given the virtual disappearance of urban (human) YFV transmission in South America in the 20th century. Although a small number of sporadic cases have been reported from residents of urban areas (three cases in 1942 in Sena Madureira, Acra, Brazil [15], 15 cases in 1954 in Trinidad [16], six cases in 1999 in Santa Cruz de la Sierra, Bolivia [17]), there was no evidence for inter-human transmission during these outbreaks. The last documented Aedes-vectored epidemic occurred in 1928 in Rio de Janeiro [12]. However, the reinfestation of many densely populated coastal cities with A. aegypti and the emergence of dengue in the Americas indicates that surveillance and monitoring of YF endemic/epidemic viral activity remains a critical public health objective. To provide an insight on the factors that influence the emergence of YF in the two hemispheres and to determine the time-scale of these events, we have performed an extensive analysis of the evolutionary relationships and dynamics of YFV. To achieve this, we assembled the largest data set of viral isolates compiled to date, including samples taken from a wide range of geographical localities and over an extensive time-span. The fragment analyzed comprised half of premembrane (prM) (containing an important cleavage site for pr→M), and extended through the first 112 amino acids of envelope (E). This region was chosen because of the relatively large data set available from previous studies [9–11,18–21]. Further, the prM and E genes are of interest because of their critical role in immunity and infectivity, and because they form the structural proteins of the virion surface and are the primary antigens that induce protective immunity. From these data we were able to infer the time-scale and evolutionary history of YFV, and provide the first direct evidence to our knowledge that YFV was introduced to the Americas during the slave trade. Results/Discussion We examined YFV isolates representing the global diversity of the disease from the World Reference Center for Emerging Viruses and Arboviruses at the University of Texas Medical Branch, Galveston, Texas, United States. Novel sequence data from 37 human isolates, 21 mosquito isolates, and four vertebrate isolates was obtained for the prM/E gene region (670 nucleotides [nt], genomic positions 641-1310). Inclusion of an additional 71 prM/E sequences from GenBank resulted in an alignment of 133 wild-type isolates representing 22 countries (14 African, eight South American). Table 1 provides summary details on the YFV isolates included in this study (more details are available in Table S1). Table 1 Summary of Yellow Fever Virus prM/E Gene Sequences Used in This Study Our phylogenetic analysis shows that YFV can be divided into two geographic groups, with distinct viral lineages observed in Africa and the Americas (Figure 1). The prM/E phylogeny supports the major genotype and subclade distinctions observed previously in phylogenies based on full genome sequences [22], the complete E gene [9], and the 3′ non-coding region [23]. Four key observations can be drawn from the structure of the YFV phylogeny. (1) The American isolates are monophyletic, (2) the American isolates are divided into those from the east and west of the continent, (3) the isolates from West Africa are most closely related to those from the Americas, and (4) the isolates from East Africa are the most divergent. Such a phylogenetic pattern is compatible with the hypothesis that YFV arose in Africa, most likely in the east of that continent, and was imported into the Americas from West Africa, and then spread westwards across the Americas. To further test this hypothesis, we constructed a model tree in which both the African and American lineages were monophyletic, which is compatible with the theory that the viruses from these two continents have evolved separately for a far longer period of time (an “ancient origin” model). However, the likelihood of this phylogeny was significantly lower (p 1) was only observed at a single codon, E100, in some data sets, most notably Peru. Table 2 Evolutionary Rates and Divergence Times of Yellow Fever Viruses From the substitution rates estimated above, the deepest node on the YFV phylogeny, corresponding to the time of origin of viral strains sampled here, has a mean age of 723 years (95% highest probability density [HPD] of 288–1,304 years). A similar time-scale was observed under models of both constant population size (the best-fit to the data in hand) and a Bayesian skyline plot, indicating that these age estimates are robust to the demographic model (unpublished data). More importantly, the estimated mean divergence time of the West African and South American clades was approximately 470 years ago (95% HPD of 186 and 869 years, respectively), while the mean time of origin of both South American genotypes was 306 years ago (95% HPD of 120 and 590 years). Taken together, these analyses suggest that genetic diversity in the available sample of South American YFV arose within the last three to four centuries and provide compelling support for an initial introduction during the period of the slave trade and first contact between the two continents. Furthermore, it appears that the divergence of the two South American lineages occurred shortly after their initial introduction and that they have been maintained in the Americas ever since. Of equal significance, and no doubt a tribute to effective public health measures, is the lack of evidence for subsequent traffic of viruses between the hemispheres since the advent of the post-vaccine era. An outstanding issue, however, is why the newly established sylvatic South American viruses have failed to cause urban epidemics like those caused by their sylvatic counterparts in West Africa. In West Africa, outbreaks are reported on a nearly annual basis, and five large West African cities have faced YF epidemics since 2001 alone [7]. However, our analyses revealed no major difference in evolutionary dynamics among viruses circulating in South America or Africa, and neither population exhibited the increases in virus diversity expected of epidemic expansion. Indeed, for both regions, the sequence data supported either a constant population size or a population growth rate with an extremely low epidemic doubling time (e.g., ~26 years in the case of YFV from Brazil). This suggests that viral epidemiology in both regions is still dominated by sylvatic transmission. It is also likely that population subdivision has played a significant role in maintaining the relatively constant levels of genetic diversity within YFV, as reflected in the clear geographic structure of the phylogeny clades, which generally consist of sequences from neighboring countries with little mixing among them. Previous studies of the spatiotemporal distribution of the two South American genotypes [25] indicated that Peruvian YFV may persist in discrete enzootic foci due to biogeographic barriers that inhibit movement of both vectors and hosts. In contrast, YFV isolates obtained during recent Brazilian epizootics exhibit more rapid dispersal over larger distances, suggesting higher rates of virus traffic within the YF endemic zone that can most likely be attributed to human-aided transportation of virus-infected vectors or hosts [26]. Interestingly, these higher rates of virus traffic and population mixing within Brazil appear to correspond to marginally higher rates of population growth (Table 2). YF provides a powerful historical demonstration of how the establishment of travel and trade routes between countries has been accompanied by the spread of microbes and their vectors. Global trade and transportation in the modern era continues to facilitate the movement of pathogens and vectors farther and faster than ever before, thus altering the potential geographic distribution of infectious diseases. During recent decades there have been several documented cases of the human importation of YFV to non-endemic areas. Since 1964, such episodes have included at least nine documented cases of European and North American tourists who have died as a result of YFV infection after returning home from visits to the Congo, Senegal, Mauritania, Gambia, Côte d'Ivoire, Brazil, and Venezuela [27–30]. These examples demonstrate that although YFV continues to be exported outside of endemic regions, conditions have not been favorable to support secondary transmission. Why YFV has not successfully dispersed to new regions infested with A. aegypti, in particular Asia, remains uncertain, although it is clear that previous geographic barriers that prevented spread of YF in the past are quickly eroding. Materials and Methods Viruses used in this study. All virus isolates were available from the World Reference Center for Emerging Viruses and Arboviruses at the University of Texas Medical Branch, Galveston, Texas, United States (see Table S1). The majority of isolates were obtained through primary isolation in suckling mouse brain, followed by a single passage in C6/36 cells. A smaller number of isolates had uncertain (undocumented) passage histories, or as many as two to ten passages in suckling mouse brain. The viruses used covered a sampling period of 76 years: 16 isolates from 1927–1959, 19 isolates from 1960–1969, 25 isolates from 1970–1979, 21 isolates from 1980–1989, 46 isolates from 1990–1999, and 6 isolates from 2000–2003. Importantly, all of the South American isolates represented sylvatic transmission cycles, as no YFV isolates representing human-mosquito-human transmission in South America are available in historical or contemporary archives. Sequence analysis. Maximum likelihood phylogenetic trees were inferred for the YFV prM/E sequence data (670 nt) set under a variety of nucleotide substitution models in PAUP* [31], including (a) codon-specific substitution rates and (b) the GTR+I+Γ4 model, with the rate of each substitution type under the general reversible model (GTR), the proportion of invariant sites (I), and shape parameter of a gamma distribution with four rate categories (Γ4) estimated from the data. The GTR+I+Γ4 substitution model was also used as the basis to estimate trees using Bayesian Markov chain Monte Carlo approaches implemented in MrBayes [32] and BEAST [33]. The final tree presented is the MAP tree estimated in BEAST (chain length of 25 million, sampling every 1,000), with tip times corresponding to the year of virus sampling. To test the competing hypotheses of the “recent” and “ancient” origin of YFV in the Americas, we compared the likelihood of the maximum likelihood tree (“recent origin”) with that of a model tree in which both the African and American lineages were monophyletic (“ancient origin”) using a Shimodaira–Hasegawa test [34]. Rates of nucleotide substitution, the age of the most recent common ancestor (MRCA), and demographic histories were estimated for the whole data set and each geographic subset using models that allow for rate variation among lineages under a relaxed (uncorrelated exponential) molecular clock [14] implemented in BEAST [33]. Four population dynamic models were investigated: constant population size, exponential population growth, logistic growth, and expansion growth. To confirm the age of the MRCA of all the YFV sequences analyzed, we also used the piecewise Bayesian skyline plot [35], as this possesses the least constrained coalescent prior. Akaike's information criterion was used to determine the best-fit model, with uncertainty in parameter estimates reflected in the 95% HPD values, and all chains were run for sufficient time to ensure convergence. All estimates were again based on the GTR+I+Γ4 model of nucleotide substitution. Mean and site-specific selection pressures acting on YFV were measured as the ratio of nonsynonymous (dN) to synonymous substitutions (dS) per site estimated using the single likelihood ancestor counting (all sequences) and random effects likelihood (maximum of 50 sequences) methods, both incorporating the GTR model with phylogenetic trees inferred using the neighbor-joining method available at the Datamonkey facility [36]. Supporting Information Table S1 Click here for additional data file.
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                Author and article information

                Contributors
                jmdietz@umd.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                10 September 2019
                10 September 2019
                2019
                : 9
                : 12926
                Affiliations
                [1 ]Save the Golden Lion Tamarin, Silver Spring, Maryland, 22842 USA
                [2 ]Associação Mico-Leão-Dourado, Casimiro de Abreu, CP 109968, CEP 28860-970, Rio de Janeiro, Brazil
                [3 ]Department of Psychology, University of St. Thomas, St. Paul, Minnesota, 55403 USA
                [4 ]ISNI 0000 0001 2184 6919, GRID grid.411173.1, Instituto de Geociências, , Universidade Federal Fluminense, Campus Praia Vermelha, ; Niterói, Rio de Janeiro CEP 24210-240 Brazil
                [5 ]ISNI 0000 0001 2294 473X, GRID grid.8536.8, Instituto de Biodiversidade e Sustentabilidade (NUPEM/UFRJ), , Universidade Federal do Rio de Janeiro, Avenida São José do Barreto 764, São José do Barreto, Macaé, CEP 27965-045, ; Rio de Janeiro, Brazil
                [6 ]ISNI 0000 0000 9087 6639, GRID grid.412331.6, Laboratório de Ciências Ambientais, , Universidade Estadual do Norte Fluminense, Campos dos Goytacazes, ; CEP 28013-602 Rio de Janeiro, Brazil
                Article
                49199
                10.1038/s41598-019-49199-6
                6736970
                31506447
                6e22de00-72c4-4626-bead-0af30e486fa2
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 11 June 2019
                : 21 August 2019
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                © The Author(s) 2019

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                conservation biology,viral infection
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                conservation biology, viral infection

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