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

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

Avaliação in vitro dos possíveis efeitos citotóxicos, genotóxicos e mutagênicos das drogas antimaláricas artemisinina e artemeter em linfócitos humanos

Artemisinin is a substance extracted from the Chinese plant Artemisia annua L., and widely used in natural medicine for a treatment of various diseases. Artemether is a substance synthesized from artemisinin. These drugs belong to a special group of molecules called sesquiterpene lactones widely administered in the treatment of malaria. Although considered effective anti-malarial drugs, very little is known about the genotoxic and cytotoxic effects of these drugs. Therefore, in the present study, we evaluated the genotoxic, mutagenic and cytotoxic effects of artemisinin and artemether in cultured human lymphocytes using the comet assay, the micronucleus test and a cytotoxicity assay for detection of necrosis and apoptosis by fluorescent differential acridine orange/ethidium bromide (LA/BE), respectively. Our results showed a significant increase (p<0.05) in the rate of DNA damage measured by comet assay and in the micronucleus frequency after treatment with both drugs. It was also observed that only artemisinin induced a statistically significant increase (p<0.05) in the number of lymphocytes with death by necrosis 48 h after treatment. Thus, it was shown in our work that these two drugs exert mutagenic, genotoxic and cytotoxic effects in cultured human lymphocytes under the conditions evaluated. Our data indicate the need for caution in the use of such drugs, since genotoxic/mutagenic effects may increase the risk of carcinogenesis.CNPq - Conselho Nacional de Desenvolvimento Científico e TecnológicoFAPESPA - Fundação Amazônia de Amparo a Estudos e PesquisasA artemisinina é uma substância extraída da planta chinesa Artemisia annua L., sendo bastante utilizada na medicina natural como um terapêutico em várias patologias. Já o artemer é uma substância sintetizada a partir da artemisinina. Estas drogas se enquadram em um grupo especial de moléculas denominadas de lactonas sesquiterpênicas sendo amplamente administradas na terapêutica da malária. Embora sejam considerados eficientes anti-maláricos, muito pouco se sabe sobre os efeitos genotóxicos e citotóxicos destes fármacos. Portanto, no presente trabalho, avaliamos os efeitos citotóxicos, genotóxicos e mutagênicos da artemisinina e do artemeter em cultura de linfócitos humanos por meio do ensaio cometa, do teste do micronúcleo e do ensaio de citotoxicidade para detecção de necrose e apoptose por marcação fluorescente diferencial com laranja de acridina/brometo de etídio (LA/BE), respectivamente. Nossos resultados demonstraram um aumento significativo (p<0,05) no índice de dano do DNA avaliado pelo ensaio do cometa, bem como na frequência de micronúcleos em ambas as substâncias testadas. Foi observado também, que apenas a artemisinina induziu um aumento estatisticamente significativo (p<0.05) no número de células necróticas nos linfócitos em 48 h de tratamento. Desta forma, demonstrou-se em nosso trabalho, que estas duas drogas exercem efeitos citotóxicos, genotóxicos e mutagênicos em culturas de linfócitos humanos, nas condições avaliadas. Nossos dados apontam a necessidade de cautela no uso de tais medicamentos, uma vez que efeitos genotóxicos/mutagênicos podem aumentar o risco de carcinogênese