Bats of the state of Minas Gerais, southeastern Brasil

Minas Gerais (MG) é o maior estado da região sudeste e sua localização em área de transição entre a faixa super úmida da costa e os ecossistemas mais áridos do centro-oeste brasileiro propicia a ocorrência de um rico mosaico de biomas e ecossistemas, incluindo o Cerrado, a Caatinga, a Mata Atlântica e áreas cársticas. Embora se saiba que a mastofauna de Minas Gerais é rica em espécies, não há uma lista de espécies de morcegos publicada, sendo esta a primeira compilação da fauna de quirópteros de MG. São aqui reunidos dados originais de inventários realizados independentemente pelos autores, informações da literatura e levantamento de espécimes depositados em várias coleções. Os resultados indicam a ocorrência de 77 espécies distribuídas em sete famílias em Minas Gerais, o que coloca o estado como o mais rico do sudeste brasileiro em número de espécies de morcegos. Essa riqueza surpreende também, devido ao fato constatado da escassez de dados disponíveis, conforme detectado no presente estudo. Grandes áreas do estado permanecem pouco conhecidas ou completamente desconhecidas em termos de sua quiropterofauna, incluindo ecossistemas frágeis associados à Caatinga, ao Cerrado e à Mata Atlântica, como os campos rupestres e áreas cársticas e não há sequer um estudo de longa duração. As coleções estudadas têm pouca representatividade em termos de espécimes oriundas do estado de Minas Gerais e são raras as séries sistemáticas oriundas de coletas no estado.Minas Gerais is the largest state in the Southeastern of Brazil, and its location in the transition between the humid coastal Atlantic Forest and the drier Western and central Brazilian countryside allows the occurrence of a rich mosaic of biomes and ecosystems that includes the Cerrado, the Caatinga, the Atlantic Forest, and karstic environments. This work is the first comprehensive compilation of the bat fauna of Minas Gerais state, Southeastern Brazil, including original data from surveys conducted independently by the authors, and published information documented with data from several museum collections. Although large areas of MG remains unsampled, unknown and/or unprotected, long term studies are virtually inexistent, and systematic inventories have not been documented to date, our results reveal high bat species richness for the state, with 77 species distributed in seven families. This indicates that MG has more bat species recorded than other Southeastern Brazilian states, a result that contrasts with the noticeable paucity of data for the state. The bat diverstity kept in museums does not mirror the actual bat diversity of MG, which thus urges to be properly acessed. Additionally, the collections examined were poorly represented in specimens from Minas Gerais and systematic series are rare

Genome Characterization and Spaciotemporal Dispersal Analysis of Bagaza Virus Detected in Portugal, 2021

Funding Information: This work received financial support from the Global Health and Tropical Medicine Center (which is funded through Fundação para a Ciência e a Tecnologia (FCT) contract UID/Multi/04413/2013). This research was also funded by FCT, Project UIDB/00276/2020 and LA/P/0059/2020-AL4AnimalS, and by the Interdisciplinary Research Center on Animal Health (CIISA), Faculty of Veterinary Medicine, University of Lisbon (Portugal). Finally, this research was also partially funded by the Interdisciplinary Research Center on Animal Health (Project CIISA-INOV 4/2021), Faculty of Veterinary Medicine, University of Lisbon (CIISA, FMV-UL) (Portugal). Publisher Copyright: © 2023 by the authors.In September 2021, Bagaza virus (BAGV), a member of the Ntaya group from the Flavivirus genus, was detected for the first time in Portugal, in the heart and the brain of a red-legged partridge found dead in a hunting ground in Serpa (Alentejo region; southern Portugal). Here we report the genomic characterization of the full-length sequence of the BAGV detected (BAGV/PT/2021), including phylogenetic reconstructions and spaciotemporal analyses. Phylogenies inferred from nucleotide sequence alignments, complemented with the analysis of amino acid alignments, indicated that the BAGV strain from Portugal is closely related to BAGV strains previously detected in Spain, suggesting a common ancestor that seems to have arrived in the Iberia Peninsula in the late 1990s to early 2000s. In addition, our findings support previous observations that BAGV and Israel turkey meningoencephalitis virus (ITV) belong to the same viral species.publishersversionpublishe

Larvicidal effects of endophytic and basidiomycete fungus extracts on Aedes and Anopheles larvae (Diptera, Culicidae)

Introduction: In vitro bioassays were performed to access the larvicidal activity of crude extracts from the endophytic fungus Pestalotiopsis virgulata (Melanconiales, Amphisphaeriaceae) and the saprophytic fungus Pycnoporus sanguineus (Basidiomycetes, Polyporaceae) against the mosquitoes Aedes aegypti and Anopheles nuneztovari. Methods: The extracts were tested at concentrations of 100, 200, 300, 400 and 500ppm. Ethyl acetate mycelia (EAM) extracts and liquid culture media (LCM) from Pe. virgulata and Py. sanguineus were tested against third instar larvae of Ae. aegypti and An. nuneztovari. Results: The larvicidal activity of the EAM extracts from Pe. virgulata against Ae. aegypti had an LC50=101.8ppm, and the extract from the basidiomycete fungus Py. sanguineus had an LC50=156.8ppm against the Ae. aegypti larvae. The Pe. virgulata extract had an LC50=16.3ppm against the An. nuneztovari larvae, and the Py. sanguineus extract had an LC50=87.2ppm against these larvae. Conclusions: These results highlight the larvicidal effect of EAM extracts from the endophyte Pe. virgulata against the two larval mosquitoes tested. Thus, Pe. virgulata and Py. sanguineus have the potential for the production of bioactive substances against larvae of these two tropical disease vectors, with An. nuneztovari being more susceptible to these extracts

Comportamento vegetativo e produtivo da videira e composição da uva em São Joaquim, Santa Catarina

O objetivo deste trabalho foi avaliar o comportamento vegetativo e produtivo das variedades de videira Cabernet Sauvignon, Merlot e Sauvignon Blanc, e a composição da uva em São Joaquim, Santa Catarina. Foram avaliadas plantas de um vinhedo comercial, cultivado em espaldeira, a 1.293 m de altitude, durante os ciclos fenológicos 2005/2006 e 2006/2007. As variáveis meteorológicas, a fenologia, o desenvolvimento do dossel e a composição da uva na colheita foram comparados entre os ciclos. As temperaturas mais amenas influenciaram o ciclo fenológico das variedades Cabernet Sauvignon, Merlot e Sauvignon Blanc, que é mais longo e tardio que nas outras regiões vitícolas do Brasil. Houve influência significativa da precipitação pluvial sobre a maturação da uva, no ciclo 2006/2007. Os índices de desenvolvimento indicam a necessidade de ajuste no manejo do dossel para um maior equilíbrio entre o crescimento vegetativo e a produção. As variedades Cabernet Sauvignon, Merlot e Sauvignon Blanc apresentam elevada qualidade da uva no momento da colheita, sendo adequadas ao cultivo em São Joaquim, SC

Fish assemblages in a coastal bay adjacent to a network of marine protected areas in southern Brazil

Abstract Baía Norte (North Bay) in Santa Catarina State is considered a typical coastal bay and is surrounded by a network of Marine Protected Areas. The objectives of this study were to describe the composition of the demersal fish assemblage, identify seasonal and spatial structures on a fine scale and evaluate the role of habitat descriptors and abiotic variables affecting the fish assemblage structure. Seasonal samplings were conducted in 2005, using bottom trawls in six pre-established areas in Baía Norte in summer, fall, winter and spring. Simultaneously with each trawl, environmental data were collected with a multiparameter probe. Temporal and spatial differences in fish abundance were tested by a PERMANOVA. To illustratethe differences detected graphically we ran a canonical analysis of principal coordinates (CAP). The influence of environmental variables on the fish fauna was evaluated using a Distant Based Linear Model (DistLM) with Akaike's information criterion (AIC). A total of 9,888 specimens, distributed in 27 families and 62 species, were collected. Citharichthys spilopterus was the most abundant species. PERMANOVA detected differences for abundance between seasons, areas and interaction among all the factors. The DISTLM selected temperature and pH. The results highlight seasonality as an important factor in the structuring of fish fauna of the study place

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio