991 resultados para VIRUS EVOLUTION


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The host's immune response to hepatitis C virus (HCV) can result in the selection of characteristic mutations (adaptations) that enable the virus to escape this response. The ability of the virus to mutate at these sites is dependent on the incoming virus, the fitness cost incurred by the mutation, and the benefit to the virus in escaping the response. Studies examining viral adaptation in chronic HCV infection have shown that these characteristic immune escape mutations can be observed at the population level as human leukocyte antigen (HLA)-specific viral polymorphisms. We examined 63 individuals with chronic HCV infection who were infected from a single HCV genotype 1b source. Our aim was to determine the extent to which the host's immune pressure affects HCV diversity and the ways in which the sequence of the incoming virus, including preexisting escape mutations, can influence subsequent mutations in recipients and infection outcomes. Conclusion: HCV sequences from these individuals revealed 29 significant associations between specific HLA types within the new hosts and variations within their viruses, which likely represent new viral adaptations. These associations did not overlap with previously reported adaptations for genotypes 1a and 3a and possibly reflected a combination of constraint due to the incoming virus and genetic distance between the strains. However, these sites accounted for only a portion of the sites in which viral diversity was observed in the new hosts. Furthermore, preexisting viral adaptations in the incoming (source) virus likely influenced the outcomes in the new hosts.

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Background:Hepatitis C is a disease spread throughout the world. Hepatitis C virus (HCV), the etiological agent of this disease, is a single-stranded positive RNA virus. Its genome encodes a single precursor protein that yields ten proteins after processing. NS5A, one of the non-structural viral proteins, is most associated with interferon-based therapy response, the approved treatment for hepatitis C in Brazil. HCV has a high mutation rate and therefore high variability, which may be important for evading the immune system and response to therapy. The aim of this study was to analyze the evolution of NS5A quasispecies before, during, and after treatment in patients infected with HCV genotype 3a who presented different therapy responses.Methods:Viral RNA was extracted, cDNA was synthesized, the NS5A region was amplified and cloned, and 15 clones from each time-point were sequenced. The sequences were analyzed for evolutionary history, genetic diversity and selection.Results:This analysis shows that the viral population that persists after treatment for most non-responder patients is present in before-treatment samples, suggesting it is adapted to evade treatment. In contrast, the population found in before treatment samples from most end-of-treatment responder patients either are selected out or appears in low frequency after relapse, therefore changing the population structure. The exceptions illustrate the uniqueness of the evolutionary process, and therefore the treatment resistance process, in each patient.Conclusion:Although evolutionary behavior throughout treatment showed that each patient presented different population dynamics unrelated to therapy outcome, it seems that the viral population from non-responders that resists the treatment already had strains that could evade therapy before it started. © 2013 Bittar et al.

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The host's immune response to hepatitis C virus (HCV) can result in the selection of characteristic mutations (adaptations) that enable the virus to escape this response. The ability of the virus to mutate at these sites is dependent on the incoming virus, the fitness cost incurred by the mutation, and the benefit to the virus in escaping the response. Studies examining viral adaptation in chronic HCV infection have shown that these characteristic immune escape mutations can be observed at the population level as human leukocyte antigen (HLA)-specific viral polymorphisms. We examined 63 individuals with chronic HCV infection who were infected from a single HCV genotype 1b source. Our aim was to determine the extent to which the host's immune pressure affects HCV diversity and the ways in which the sequence of the incoming virus, including preexisting escape mutations, can influence subsequent mutations in recipients and infection outcomes. Conclusion: HCV sequences from these individuals revealed 29 significant associations between specific HLA types within the new hosts and variations within their viruses, which likely represent new viral adaptations. These associations did not overlap with previously reported adaptations for genotypes 1a and 3a and possibly reflected a combination of constraint due to the incoming virus and genetic distance between the strains. However, these sites accounted for only a portion of the sites in which viral diversity was observed in the new hosts. Furthermore, preexisting viral adaptations in the incoming (source) virus likely influenced the outcomes in the new hosts.

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RNA viruses are an important cause of global morbidity and mortality. The rapid evolutionary rates of RNA virus pathogens, caused by high replication rates and error-prone polymerases, can make the pathogens difficult to control. RNA viruses can undergo immune escape within their hosts and develop resistance to the treatment and vaccines we design to fight them. Understanding the spread and evolution of RNA pathogens is essential for reducing human suffering. In this dissertation, I make use of the rapid evolutionary rate of viral pathogens to answer several questions about how RNA viruses spread and evolve. To address each of the questions, I link mathematical techniques for modeling viral population dynamics with phylogenetic and coalescent techniques for analyzing and modeling viral genetic sequences and evolution. The first project uses multi-scale mechanistic modeling to show that decreases in viral substitution rates over the course of an acute infection, combined with the timing of infectious hosts transmitting new infections to susceptible individuals, can account for discrepancies in viral substitution rates in different host populations. The second project combines coalescent models with within-host mathematical models to identify driving evolutionary forces in chronic hepatitis C virus infection. The third project compares the effects of intrinsic and extrinsic viral transmission rate variation on viral phylogenies.

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Understanding how virus strains offer protection against closely related emerging strains is vital for creating effective vaccines. For many viruses, including Foot-and-Mouth Disease Virus (FMDV) and the Influenza virus where multiple serotypes often co-circulate, in vitro testing of large numbers of vaccines can be infeasible. Therefore the development of an in silico predictor of cross-protection between strains is important to help optimise vaccine choice. Vaccines will offer cross-protection against closely related strains, but not against those that are antigenically distinct. To be able to predict cross-protection we must understand the antigenic variability within a virus serotype, distinct lineages of a virus, and identify the antigenic residues and evolutionary changes that cause the variability. In this thesis we present a family of sparse hierarchical Bayesian models for detecting relevant antigenic sites in virus evolution (SABRE), as well as an extended version of the method, the extended SABRE (eSABRE) method, which better takes into account the data collection process. The SABRE methods are a family of sparse Bayesian hierarchical models that use spike and slab priors to identify sites in the viral protein which are important for the neutralisation of the virus. In this thesis we demonstrate how the SABRE methods can be used to identify antigenic residues within different serotypes and show how the SABRE method outperforms established methods, mixed-effects models based on forward variable selection or l1 regularisation, on both synthetic and viral datasets. In addition we also test a number of different versions of the SABRE method, compare conjugate and semi-conjugate prior specifications and an alternative to the spike and slab prior; the binary mask model. We also propose novel proposal mechanisms for the Markov chain Monte Carlo (MCMC) simulations, which improve mixing and convergence over that of the established component-wise Gibbs sampler. The SABRE method is then applied to datasets from FMDV and the Influenza virus in order to identify a number of known antigenic residue and to provide hypotheses of other potentially antigenic residues. We also demonstrate how the SABRE methods can be used to create accurate predictions of the important evolutionary changes of the FMDV serotypes. In this thesis we provide an extended version of the SABRE method, the eSABRE method, based on a latent variable model. The eSABRE method takes further into account the structure of the datasets for FMDV and the Influenza virus through the latent variable model and gives an improvement in the modelling of the error. We show how the eSABRE method outperforms the SABRE methods in simulation studies and propose a new information criterion for selecting the random effects factors that should be included in the eSABRE method; block integrated Widely Applicable Information Criterion (biWAIC). We demonstrate how biWAIC performs equally to two other methods for selecting the random effects factors and combine it with the eSABRE method to apply it to two large Influenza datasets. Inference in these large datasets is computationally infeasible with the SABRE methods, but as a result of the improved structure of the likelihood, we are able to show how the eSABRE method offers a computational improvement, leading it to be used on these datasets. The results of the eSABRE method show that we can use the method in a fully automatic manner to identify a large number of antigenic residues on a variety of the antigenic sites of two Influenza serotypes, as well as making predictions of a number of nearby sites that may also be antigenic and are worthy of further experiment investigation.

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Hepatitis C virus (HCV) infection represents an important public health problem worldwide. Reduction of HCV morbidity and mortality is a current challenge owned to several viral and host factors. Virus molecular evolution plays an important role in HCV transmission, disease progression and therapy outcome. The high degree of genetic heterogeneity characteristic of HCV is a key element for the rapid adaptation of the intrahost viral population to different selection pressures (e.g., host immune responses and antiviral therapy). HCV molecular evolution is shaped by different mechanisms including a high mutation rate, genetic bottlenecks, genetic drift, recombination, temporal variations and compartmentalization. These evolutionary processes constantly rearrange the composition of the HCV intrahost population in a staging manner. Remarkable advances in the understanding of the molecular mechanism controlling HCV replication have facilitated the development of a plethora of direct-acting antiviral agents against HCV. As a result, superior sustained viral responses have been attained. The rapidly evolving field of anti-HCV therapy is expected to broad its landscape even further with newer, more potent antivirals, bringing us one step closer to the interferon-free era. (C) 2014 Baishideng Publishing Group Inc. All rights reserved.

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Hantaviruses are rodent-borne Bunyaviruses that infect the Arvicolinae, Murinae, and Sigmodontinae subfamilies of Muridae. The rate of molecular evolution in the hantaviruses has been previously estimated at approximately 10(-7) nucleotide substitutions per site, per year (substitutions/site/year), based on the assumption of codivergence and hence shared divergence times with their rodent hosts. If substantiated, this would make the hantaviruses among the slowest evolving of all RNA viruses. However, as hantaviruses replicate with an RNA-dependent RNA polymerase, with error rates in the region of one mutation per genome replication, this low rate of nucleotide substitution is anomalous. Here, we use a Bayesian coalescent approach to estimate the rate of nucleotide substitution from serially sampled gene sequence data for hantaviruses known to infect each of the 3 rodent subfamilies: Araraquara virus ( Sigmodontinae), Dobrava virus ( Murinae), Puumala virus ( Arvicolinae), and Tula virus ( Arvicolinae). Our results reveal that hantaviruses exhibit shortterm substitution rates of 10(-2) to 10(-4) substitutions/site/year and so are within the range exhibited by other RNA viruses. The disparity between this substitution rate and that estimated assuming rodent-hantavirus codivergence suggests that the codivergence hypothesis may need to be reevaluated.

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The low rates of nonsynonymous evolution observed in natural rabies virus (RABV) isolates are suggested to have arisen in association with the structural and functional constraints operating on the virus protein and the infection strategies employed by RABV within infected hosts to avoid strong selection by the immune response. In order to investigate the relationship between the genetic characteristics of RABV populations within hosts and the virus evolution, the present study examined the genetic heterogeneities of RABV populations within naturally infected dogs and foxes in Brazil, as well as those of bat RABV populations that were passaged once in suckling mice. Sequence analyses of complete RABV glycoprotein (G) genes showed that RABV populations within infected hosts were genetically highly homogeneous whether they were infected naturally or experimentally (nucleotide diversities of 0-0.95 x 10(-3)). In addition, amino acid mutations were randomly distributed over the entire region of the G protein, and the nonsynonymous/synonymous rate ratios (d(N)/d(S)) for the G protein gene were less than 1. These findings suggest that the low genetic diversities of RABV populations within hosts reflect the stabilizing selection operating on the virus, the infection strategies of the virus, and eventually, the evolutionary patterns of the virus. (C) 2009 Elsevier B.V. All rights reserved.

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The low rates of nonsynonymous evolution observed in natural rabies virus (RABV) isolates are suggested to have arisen in association with the structural and functional constraints operating on the virus protein and the infection strategies employed by RABV within infected hosts to avoid strong selection by the immune response. In order to investigate the relationship between the genetic characteristics of RABV populations within hosts and the virus evolution, the present study examined the genetic heterogeneities of RABV populations within naturally infected dogs and foxes in Brazil, as well as those of bat RABV populations that were passaged once in suckling mice. Sequence analyses of complete RABV glycoprotein (G) genes showed that RABV populations within infected hosts were genetically highly homogeneous whether they were infected naturally or experimentally (nucleotide diversities of 0-0.95 x 10(-3)). In addition, amino acid mutations were randomly distributed over the entire region of the G protein, and the nonsynonymous/synonymous rate ratios (d(N)/d(S)) for the G protein gene were less than 1. These findings suggest that the low genetic diversities of RABV populations within hosts reflect the stabilizing selection operating on the virus, the infection strategies of the virus, and eventually, the evolutionary patterns of the virus. (C) 2009 Elsevier B.V. All rights reserved.

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The influenza virus has been a challenge to science due to its ability to withstand new environmental conditions. Taking into account the development of virus sequence databases, computational approaches can be helpful to understand virus behavior over time. Furthermore, they can suggest new directions to deal with influenza. This work presents triplet entropy analysis as a potential phylodynamic tool to quantify nucleotide organization of viral sequences. The application of this measure to segments of hemagglutinin (HA) and neuraminidase (NA) of H1N1 and H3N2 virus subtypes has shown some variability effects along timeline, inferring about virus evolution. Sequences were divided by year and compared for virus subtype (H1N1 and H3N2). The nonparametric Mann-Whitney test was used for comparison between groups. Results show that differentiation in entropy precedes differentiation in GC content for both groups. Considering the HA fragment, both triplet entropy as well as GC concentration show intersection in 2009, year of the recent pandemic. Some conclusions about possible flu evolutionary lines were drawn. © 2013 Elsevier B.V.

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In addition to classically defined immune mechanisms, cell-intrinsic processes can restrict virus infection and have shaped virus evolution. The details of this virus-host interaction are still emerging. Following a genome-wide siRNA screen for host factors affecting replication of Semliki Forest virus (SFV), a positive-strand RNA (+RNA) virus, we found that depletion of nonsense-mediated mRNA decay (NMD) pathway components Upf1, Smg5, and Smg7 led to increased levels of viral proteins and RNA and higher titers of released virus. The inhibitory effect of NMD was stronger when virus replication efficiency was impaired by mutations or deletions in the replicase proteins. Consequently, depletion of NMD components resulted in a more than 20-fold increase in production of these attenuated viruses. These findings indicate that a cellular mRNA quality control mechanism serves as an intrinsic barrier to the translation of early viral proteins and the amplification of +RNA viruses in animal cells.

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El impacto negativo que tienen los virus en las plantas hace que estos puedan ejercer un papel ecológico como moduladores de la dinámica espacio-temporal de las poblaciones de sus huéspedes. Entender cuáles son los mecanismos genéticos y los factores ambientales que determinan tanto la epidemiología como la estructura genética de las poblaciones de virus puede resultar de gran ayuda para la comprensión del papel ecológico de las infecciones virales. Sin embargo, existen pocos trabajos experimentales que hayan abordado esta cuestión. En esta tesis, se analiza el efecto de la heterogeneidad del paisaje sobre la incidencia de los virus y la estructura genética de sus poblaciones. Asimismo, se explora como dichos factores ambientales influyen en la importancia relativa que los principales mecanismos de generación de variabilidad genética (mutación, recombinación y migración) tienen en la evolución de los virus. Para ello se ha usado como sistema los begomovirus que infectan poblaciones de chiltepín (Capsicum annuum var. aviculare (Dierbach) D´Arcy & Eshbaugh) en México. Se analizó la incidencia de diferentes virus en poblaciones de chiltepín distribuidas a lo largo de seis provincias biogeográficas, representando el área de distribución de la especie en México, y localizadas en hábitats con diferente grado de intervención humana: poblaciones sin intervención humana (silvestres); poblaciones toleradas (lindes y pastizales), y poblaciones manejadas por el hombre (monocultivos y huertos familiares). Entre los virus analizados, los begomovirus mostraron la mayor incidencia, detectándose en todas las poblaciones y años de muestreo. Las únicas dos especies de begomovirus que se encontraron infectando al chiltepín fueron: el virus del mosaico dorado del chile (Pepper golden mosaic virus, PepGMV) y el virus huasteco del amarilleo de venas del chile (Pepper huasteco yellow vein virus, PHYVV). Por ello, todos los análisis realizados en esta tesis se centran en estas dos especies de virus. La incidencia de PepGMV y PHYVV, tanto en infecciones simples como mixtas, aumento cuanto mayor fue el nivel de intervención humana en las poblaciones de chiltepín, lo que a su vez se asoció con una menor biodiversidad y una mayor densidad de plantas. Además, la incidencia de infecciones mixtas, altamente relacionada con la presencia de síntomas, fue también mayor en las poblaciones cultivadas. La incidencia de estos dos virus también varió en función de la población de chiltepín y de la provincia biogeográfica. Por tanto, estos resultados apoyan una de las hipótesis XVI clásicas de la Patología Vegetal según la cual la simplificación de los ecosistemas naturales debida a la intervención humana conduce a un mayor riesgo de enfermedad de las plantas, e ilustran sobre la importancia de la heterogeneidad del paisaje a diferentes escalas en la determinación de patrones epidemiológicos. La heterogeneidad del paisaje no solo afectó a la epidemiología de PepGMV y PHYVV, sino también a la estructura genética de sus poblaciones. En ambos virus, el nivel de diferenciación genética mayor fue la población, probablemente asociado a la capacidad de migración de su vector Bemisia tabaci; y en segundo lugar la provincia biogeográfica, lo que podría estar relacionado con el papel del ser humano como agente dispersor de PepGMV y PHYVV. La estima de las tasas de sustitución nucleotídica de las poblaciones de PepGMV y PHYVV mostró una rápida dinámica evolutiva. Los árboles filogenéticos de ambos virus presentaron una topología en estrella, lo que sugiere una expansión reciente en las poblaciones de chiltepín. La reconstrucción de los patrones de migración de ambos virus indicó que ésta expansión parece haberse producido desde la zona central de México siguiendo un patrón radial, y en los últimos 30 años. Es importante tener en cuenta que el patrón espacial de la diversidad genética de las poblaciones de PepGMV y PHYVV es similar al descrito previamente para el chiltepín lo que podría dar lugar a la congruencia de las genealogías del huésped y la de los virus. Dicha congruencia se encontró cuando se tuvieron en cuenta únicamente las poblaciones de hábitats silvestres y tolerados, lo que probablemente se debe a una codivergencia en el espacio pero no en el tiempo, dado que la evolución de virus y huésped han ocurrido a escalas temporales muy diferentes. Finalmente, el análisis de la frecuencia de recombinación en PepGMV y PHYVV indicó que esta juega un papel importante en la evolución de ambos virus, dependiendo su importancia del nivel de intervención humana de la población de chiltepín. Este factor afectó también a la intensidad de la selección a la que se ven sometidos los genomas de PepGMV y PHYVV. Los resultados de esta tesis ponen de manifiesto la importancia que la reducción de la biodiversidad asociada al nivel de intervención humana de las poblaciones de plantas y la heterogeneidad del paisaje tiene en la emergencia de nuevas enfermedades virales. Por tanto, es necesario considerar estos factores ambientales a la hora de comprender la epidemiologia y la evolución de los virus de plantas.XVII SUMMARY Plant viruses play a key role as modulators of the spatio-temporal dynamics of their host populations, due to their negative impact in plant fitness. Knowledge on the genetic and environmental factors that determine the epidemiology and the genetic structure of virus populations may help to understand the ecological role of viral infections. However, few experimental works have addressed this issue. This thesis analyses the effect of landscape heterogeneity in the prevalence of viruses and the genetic structure of their populations. Also, how these environmental factors influence the relative importance of the main mechanisms for generating genetic variability (mutation, recombination and migration) during virus evolution is explored. To do so, the begomoviruses infecting chiltepin (Capsicum annuum var. aviculare (Dierbach) D'Arcy & Eshbaugh) populations in Mexico were used. Incidence of different viruses in chiltepin populations of six biogeographical provinces representing the species distribution in Mexico was determined. Populations belonged to different habitats according to the level of human management: populations with no human intervention (Wild); populations naturally dispersed and tolerated in managed habitats (let-standing), and human managed populations (cultivated). Among the analyzed viruses, the begomoviruses showed the highest prevalence, being detected in all populations and sampling years. Only two begomovirus species infected chiltepin: Pepper golden mosaic virus, PepGMV and Pepper huasteco yellow vein virus, PHYVV. Therefore, all the analyses presented in this thesis are focused in these two viruses. The prevalence of PepGMV and PHYVV, in single and mixed infections, increased with higher levels of human management of the host population, which was associated with decreased biodiversity and increased plant density. Furthermore, cultivated populations showed higher prevalence of mixed infections and symptomatic plants. The prevalence of the two viruses also varied depending on the chiltepin population and on the biogeographical province. Therefore, these results support a classical hypothesis of Plant Pathology stating that simplification of natural ecosystems due to human management leads to an increased disease risk, and illustrate on the importance of landscape heterogeneity in determining epidemiological patterns. Landscape heterogeneity not only affected the epidemiology of PepGMV and PHYVV, but also the genetic structure of their populations. Both viruses had the highest level of genetic differentiation at the population scale, probably associated with the XVIII migration patterns of its vector Bemisia tabaci, and a second level at the biogeographical province scale, which could be related to the role of humans as dispersal agents of PepGMV and PHYVV. The estimates of nucleotide substitution rates of the virus populations indicated rapid evolutionary dynamics. Accordingly, phylogenetic trees of both viruses showed a star topology, suggesting a recent diversification in the chiltepin populations. Reconstruction of PepGMV and PHYVV migration patterns indicated that they expanded from central Mexico following a radial pattern during the last 30 years. Importantly, the spatial genetic structures of the virus populations were similar to that described previously for the chiltepin, which may result in the congruence of the host and virus genealogies. Such congruence was found only in wild and let-standing populations. This is probably due to a co-divergence in space but not in time, given the different evolutionary time scales of the host and virus populations. Finally, the frequency of recombination detected in the PepGMV and PHYVV populations indicated that this mechanism plays an important role in the evolution of both viruses at the intra-specific scale. The level of human management had a minor effect on the frequency of recombination, but influenced the strength of negative selective pressures in the viral genomes. The results of this thesis highlight the importance of decreased biodiversity in plant populations associated with the level of human management and of landscape heterogeneity on the emergence of new viral diseases. Therefore it is necessary to consider these environmental factors in order to fully understand the epidemiology and evolution of plant viruses.

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The study of 'molecular mimicry' or 'genetic piracy', with respect to the utilisation of cellular genes captured and modified during the course of virus evolution, has been an area of increasing research with the expansion in virus genome sequencing. Examples of cellular immunomodulatory genes which have been captured from hosts have been identified in a number of viruses. This review concentrates upon studies of murine cytomegalovirus (MCMV), investigating the functions of viral genes homologous to G protein-coupled receptors, MHC class I and chemokines, The study of recombinant MCMV engineered with specific disruptions of these genes has revealed their significance during virus replication and dissemination within the host, In the case of the latter two classes of genes, evidence suggests they interfere with cellular immune responses, although the detailed mechanisms underlying this interference have yet to be delineated. Copyright (C) 2000 S. Karger AG, Basel.

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A novel alphavirus was isolated from the louse Lepidophthirus macrorhini, collected from southern elephant seals, Mirounga leonina, on Macquarie Island, Australia. The virus displayed classic alphavirus ultrastructure and appeared to be serologically different from known Australasian alphaviruses. Nearly all Macquarie Island elephant seals tested had neutralizing antibodies against the virus, but no virus-associated pathology has been identified, Antarctic Division personnel who have worked extensively with elephant seals showed no serological evidence of exposure to the virus. Sequence analysis illustrated that the southern elephant seal (SES) virus segregates,vith the Semliki Forest group of Australasian alphaviruses. Phylogenetic analysis of known alphaviruses suggests that alphaviruses might be grouped according to their enzootic vertebrate host class, The SES virus represents the first arbovirus of marine mammals and illustrates that alphaviruses can inhabit Antarctica and that alphaviruses can be transmitted by lice.

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Pós-graduação em Genética - IBILCE