Wild dogs at stake: deforestation threatens the only Amazon endemic canid, the short-eared dog (Atelocynus microtis)

The persistent high deforestation rate and fragmentation of the Amazon forests are the main threats to their biodiversity. To anticipate and mitigate these threats, it is important to understand and predict how species respond to the rapidly changing landscape. The short-eared dog Atelocynus microtis is the only Amazon-endemic canid and one of the most understudied wild dogs worldwide. We investigated short-eared dog habitat associations on two spatial scales. First, we used the largest record database ever compiled for short-eared dogs in combination with species distribution models to map species habitat suitability, estimate its distribution range and predict shifts in species distribution in response to predicted deforestation across the entire Amazon (regional scale). Second, we used systematic camera trap surveys and occupancy models to investigate how forest cover and forest fragmentation affect the space use of this species in the Southern Brazilian Amazon (local scale). Species distribution models suggested that the short-eared dog potentially occurs over an extensive and continuous area, through most of the Amazon region south of the Amazon River. However, approximately 30% of the short-eared dog's current distribution is expected to be lost or suffer sharp declines in habitat suitability by 2027 (within three generations) due to forest loss. This proportion might reach 40% of the species distribution in unprotected areas and exceed 60% in some interfluves (i.e. portions of land separated by large rivers) of the Amazon basin. Our local-scale analysis indicated that the presence of forest positively affected short-eared dog space use, while the density of forest edges had a negative effect. Beyond shedding light on the ecology of the short-eared dog and refining its distribution range, our results stress that forest loss poses a serious threat to the conservation of the species in a short time frame. Hence, we propose a re-assessment of the short-eared dog's current IUCN Red List status (Near Threatened) based on findings presented here. Our study exemplifies how data can be integrated across sources and modelling procedures to improve our knowledge of relatively understudied species

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

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 understanding 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,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 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 underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities 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 organism 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 neglected 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 lost

Títulos de anticorpos aglutinantes induzidos por vacinas comerciais contra leptospirose bovina Agglutinating antibody titers induced by commercial vaccines against bovine leptospirosis

No presente estudo, 100 fêmeas bovinas foram divididas em cinco grupos de 20 animais cada. Os grupos experimentais receberam quatro diferentes vacinas comerciais (B, C, D e E), e um grupo permaneceu como controle. Amostras foram colhidas no dia da aplicação da primeira dose e nos dias 3, 7, 14, 21, 28, 35, 42, 49, 56, 63, 70, 77, 84, 91, 120, 150 e 180 pós-vacinação (PV). A triagem dos animais foi feita pela análise sorológica com 6 antígenos de leptospiras, escolhendo-se os animais não reagentes. Os títulos de anticorpos foram monitorados pela soroaglutinação microscópica (SAM) com os sorovares Canicola, Grippotyphosa, Hardjo, Icterohaemorrhagiae, Pomona e Wolffi. Todas as vacinas induziram, aos 3 dias PV, títulos de anticorpos aglutinantes para os sorovares Hardjo e Wolffi, que persistiram até o 150º dia PV. Os sorovares Hardjo e Wolffi induziram os maiores títulos de anticorpos aglutinantes. A vacina D, apesar de não possuir o sorovar Wolffi em sua composição foi capaz de induzir anticorpos aglutinantes contra este sorovar. Somente foram detectados anticorpos contra o sorovar Canicola nos animais vacinados com a bacterina D. A vacina que induziu os maiores títulos médios de anticorpos, considerando todos os sorovares testados foi a D.<br>In the investigation 100 heifers were used, divided into 5 groups of 20 animals each. The four experimental groups were vaccinated using distinct commercial polyvalent bacterines: B, C, D and E, and A group was the control. Samples were collected at days 0, 3, 7, 14, 21, 28, 35, 42, 49, 56, 63, 70, 77, 84, 91, 120, 150 and 180 from the first injection of the vaccine. The selection of the animals for the experimental groups was done based on a serological screening with 6 antigens of Leptospira sp. constituted by non-reagent animals. The vaccine titers were monitored using the microscopic agglutination test (MAT) for Canicola, Grippotyphosa, Hardjo, Icterohaemorrhagiae, Pomona and Wolffi serovars. All vaccines used were capable to product agglutinins for the Hardjo and Wolffi serovars observed at 3 days after vaccination, remaining until the 150th day; those serovars induced the highest titres of agglutinins. Vaccine D, in spite of not containing the Wolffi serovar, induced the production of agglutinins to this serovar. Agglutinins to the Canicola serovar were only observed in the animals vaccinated with the D bacterine. Vaccine D induced the highest average titers of antibodies to all tested serovars

Análise da recuperação do genitor recorrente em maracujazeiro-azedo por meio de marcadores RAPD Recovery analysis of recurrent genitor in sour passion fruit through RAPD markers

O Brasil é o maior produtor mundial de maracujá, entretanto tem-se observado redução na produtividade do maracujazeiro nos últimos anos, devido, principalmente, a fatores fitossanitários. Na Embrapa Cerrados, a transferência de genes de resistência de espécies silvestres para as comerciais de maracujazeiro tem sido feita por meio de hibridações interespecíficas seguidas de um programa de retrocruzamentos auxiliados por marcadores moleculares. Este trabalho teve por objetivo verificar a recuperação do genoma recorrente nas plantas RC4 e RC5 [(Passiflora edulis x Passiflora setacea) x Passiflora edulis ] com base em marcadores RAPD. O estudo foi desenvolvido no Laboratório de Genética e Biologia Molecular da Embrapa Cerrados. Amostras de DNA de cada material genético (17 plantas RC4, 16 plantas RC5, Passiflora edulis e Passiflora setacea) foram amplificadas para obtenção de marcadores RAPD. Foram utilizados 12 primers decâmeros para as plantas RC4 e 14 primers decâmeros para as plantas RC5. Os marcadores RAPD gerados foram convertidos em matriz de dados binários. Verificou-se alta porcentagem de marcadores polimórficos em consequência do cruzamento-base interespecífico. A menor similaridade genética foi observada entre as espécies P. edulis e P. setacea, evidenciando a grande distância genética dessas espécies.<br>Brazil is the largest world producer of passion fruit, however, it has been observed a reduction in the productivity in recent years due, mainly, to phytosanitary factors. At Embrapa Cerrados, the transfer of resistance genes from wild to commercial species of passion fruit has been made through interspecific hybridations, followed by a backcrossing molecular marker-assisted program. The objective this work was to verify the recovery of recurrent genome at the plants RC4 and RC5 [(Passiflora edulis x Passiflora setacea) x Passiflora edulis] based on RAPD markers. The study was developed at Embrapa Cerrados Laboratory of Genetics and Molecular Biology. DNA samples of each genetic material (17 RC4 plants, 16 RC5 plants, Passiflora edulis and Passiflora setacea) were amplified to obtain RAPD markers. There were used 12 decamer primers for plants RC4 and 14 decamer primers for plants RC5. The RAPD markers generated were converted into a matrix of binary data. There were a high percentage of polymorphic markers as a result of interspecific base crossing. The smallest genetic similarity was observed between species P. edulis and P. setacea, highlighting the large genetic distance of these commercial and wild varieties, respectively