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URI permanente desta comunidadehttps://bdc.icmbio.gov.br/handle/cecav/1402
Centro Nacional de Pesquisa e Conservação de Tartarugas Marinhas e da Biodiversidade Marinha do Leste
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4 resultados
Resultados da Pesquisa
Item CHARACTERIZATION OF FIBROPAPILLOMA-ASSOCIATED TURTLE HERPESVIRUS IN GREEN TURTLES FROM BRAZIL(2010) RODENBUSCH, C R; BAPTISTOTTE, C; MELO, M.T.D.; PIRES, T.T.; WERNECK, M. R.; TOREZANI, E; CANAL, C.W.The fibropapillomatosis is an emerging disease with high prevalence in turtles and characterized by multiple papillomas, fibromas and fibropapillomas in the skin or viscera. This disease is called "green turtle fibropapillomatosis” (GTFP) because it was first recorded in green turtles.- Prevalence of internal tumor in Green Turtles (Chelonia mydas) affected by Fibropapilomatosis in Brazil(2015) D´AZEREDO, F; PIRES, T; MONTE, T; MELO, T.D; VELLOSO, R; GOLDBERG, D; BAPTISTOTTE, C; ALMOSNY, N; BRUNO, S
Item Fibropapillomatosis in green turtles Chelonia mydas in Brazil: characteristics of tumors and virus.(Diseases of Aquatic Organisms Series, 2014) RODENBUSCH, C. R; BAPTISTOTTE, C; WERNECK, M. R; PIRES, T. T; MELO, M. T. D; ATAÍDE, M. W; REIS, K. D. H. L; TESTA, P; ALIEVE, M. M; CANAL, C. WFibropapillomatosis (FP) is a benign neoplasia that affects physiological functions of sea turtles and may lead to death. High prevalence of FP in sea turtle populations has prompted several research groups to study the disease and the associated herpesvirus, chelonid herpesvirus 5 (ChHV5). The present study detected and quantified ChHV5 in 153 fibropapilloma samples collected from green turtles Chelonia mydas on the Brazilian coast between 2009 and 2010 to characterize the relationship between viral load and tumor characteristics. Of the tumor samples collected, 73 and 87% were positive for ChHV5 in conventional PCR and real-time PCR, respectively, and viral loads ranged between 1 and 118.62 copies cell−1. Thirty-three percent of turtles were mildly, 28% were moderately and 39% were severely affected with FP. Skin samples were used as negative control. High viral loads correlated positively with increasing FP severity in turtles sampled on the Brazilian coast and with samples from turtles found dead in the states of São Paulo and Bahia. Six viral variants were detected in tumor samples, 4 of which were similar to the Atlantic phylogenetic group. Two variants were similar to the western Atlantic/eastern Caribbean phylogenetic group. Co-infection in turtles with more than one variant was observed in the states of São Paulo and Bahia.- Not just another mixed stock analysis: green turtles of Espírito Santo, Brazil.(2010) NARO-MACIEL, E; MARTIN, M; BONDIOLI, A. C. V; ALMEIDA, A. P; TOREZANI, E; BAPTISTOTTE, C; MARCOVALDI, M. A; AMATO, G; DE SALLE, RIn the Southwestern Atlantic Ocean, sea turtles are exposed to myriad threats including disease, fisheries bycatch, and industrial or coastal development, but protected by effective conservation organizations. In Espirito Santo, Brazil, green turtles (Chelonia mydas) with relatively high incidence of fibropapillomatosis tumors routinely strand in the vicinity of the state capital, Vitória, a highly urbanized area that encompasses the effluent discharge channel of a local steel plant. This is also a particularly interesting population because of its relative proximity to the regionally important Trindade Island rookery, whose feeding grounds have not been convincingly identified to date. To investigate the population distribution of the at-risk turtles, we sequenced a segment of the mitochondrial control region (862 bp; n = 132). Eight mtDNA haplotypes were revealed, of which the most common were CMA-08 and CMA-05. Haplotypes CMA-06 and CMA-09 were each found in six individuals, and rare haplotypes CMA-03, CMA-10, CMA-23, and CMA-32 were also detected. Two kinds of "many-to-many" mixed stock analyses were carried out, taking into account or alternately disregarding source nesting population size. The same approach was taken with traditional MSAS ("one-to-many"), and the main differences between the "one-to-many" and "many-to-many" results are reported. The analyses that included population size and all available data were most consistent with expectations. We recommend caution when employing different mixed stock analysis methods, and emphasize the importance of exploring alternate ways of investigating the origins of mixed stocks, including modeling approaches. These data will provide insight into population isolation and conservation priorities necessary to establish whether areas should be managed as independent units or as regional populations, and will clarify questions of scale in conservation and management, providing a scientific basis for conservation prioritization.