Genomic Characterization of the Taylorella Genus

The Taylorella genus comprises two species: Taylorella equigenitalis, which causes contagious equine metritis, and Taylorella asinigenitalis, a closely-related species mainly found in donkeys. We herein report on the first genome sequence of T. asinigenitalis, analyzing and comparing it with the recently-sequenced T. equigenitalis genome. The T. asinigenitalis genome contains a single circular chromosome of 1,638,559 bp with a 38.3% GC content and 1,534 coding sequences (CDS). While 212 CDSs were T. asinigenitalis-specific, 1,322 had orthologs in T. equigenitalis. Two hundred and thirty-four T. equigenitalis CDSs had no orthologs in T. asinigenitalis. Analysis of the basic nutrition metabolism of both Taylorella species showed that malate, glutamate and alpha-ketoglutarate may be their main carbon and energy sources. For both species, we identified four different secretion systems and several proteins potentially involved in binding and colonization of host cells, suggesting a strong potential for interaction with their host. T. equigenitalis seems better-equipped than T. asinigenitalis in terms of virulence since we identified numerous proteins potentially involved in pathogenicity, including hemagluttinin-related proteins, a type IV secretion system, TonB-dependent lactoferrin and transferrin receptors, and YadA and Hep_Hag domains containing proteins. This is the first molecular characterization of Taylorella genus members, and the first molecular identification of factors potentially involved in T. asinigenitalis and T. equigenitalis pathogenicity and host colonization. This study facilitates a genetic understanding of growth phenotypes, animal host preference and pathogenic capacity, paving the way for future functional investigations into this largely unknown genus

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

Confiabilidade e validade das Declarações de Óbito por câncer de boca no Município de Teresina, Piauí, Brasil, no período de 2004 e 2005 Reliability and validity of death certificates specifying oral cancer as cause of death in Teresina, Piauí State, Brazil, 2004-2005

A política de saúde brasileira depende da precisão dos dados contidos no sistema de informação em saúde. Com objetivo de avaliar a confiabilidade e validade da causa básica de morte por uma neoplasia específica, no Município de Teresina, Piauí, Brasil, foram utilizadas todas as Declarações de Óbito (DO) que possuíam como causa básica de morte o câncer de boca nos anos de 2004 e 2005, contabilizando um total de 23 DO. Elas foram submetidas à nova codificação da causa básica mediante utilização de formulário direcionado à coleta de dados clínicos e de exames complementares para a confirmação do diagnóstico nos prontuários médicos. O diagnóstico foi confirmado pelo exame histopatológico e história clínica. Observou-se uma concordância simples de 91,3% e coeficiente kappa de 0,84. O valor preditivo positivo correspondeu a 90,9%. Assim, pode-se afirmar que as referidas estatísticas de mortalidade são válidas e confiáveis. Este estudo teve como limitação possíveis sub-registros de casos que tiveram como causa básica de morte a referida patologia, visto que tais dados não constam no sistema de informação em mortalidade de Teresina.<br>Brazilian health policy depends on the accuracy of data in the health information system. This study aimed to assess the reliability and validity of data on underlying cause of death due to a specific neoplasm in the Municipality of Teresina, Piauí State, Brazil, based on all the death certificates from 2004 and 2005 that reported oral cancer as the underlying cause of death (total of 23 death certificates). The death certificates were recoded for underlying cause of death by using a form targeted at collecting clinical and laboratory data to confirm the medical diagnosis on patient charts. Diagnosis was confirmed by histopathologic examination and clinical history. Simple agreement was 91.3%, kappa coefficient 0.84, and positive predictive value 90.9%. Based on the findings, the mortality statistics were valid and reliable. One limitation to this study was the possible underreporting of cases with oral cancer as the underlying cause of death, given that such data are not included in the mortality information system in Teresina