Post-genomic analysis of Monosporascus cannonballus and Macrophomina phaseolina - potential target selection

Monosporascus cannonballus Pollack & Uecker and Macrophomina phaseolina Tassi (Goid) are phytopathogenic fungi responsible for causing "root rot and vine decline" in melon (Cucumis melo L.). Currently, cultural management practices are predominantly employed to control these pathogens, as the use of pesticides not only has detrimental environmental impacts but has also proven ineffective against them. These fungi have already undergone molecular characterization, and their genomes are now available, enabling the targeted search for protein targets. Therefore, this study aimed to identify novel target proteins that can serve as a foundation for the development of fungicides for effectively managing these pathogens. The genomes of M. cannonballus (assembly ASM415492v1) and M. phaseolina (assembly ASM2087553v1) were subjected to comprehensive analysis, filtration, and comparison. The proteomes of both fungi were clustered based on functional criteria, including putative and hypothetical functions, cell localization, and function-structure relationships. The selection process for homologs in the fungal genomes included a structural search. In the case of M. cannonballus, a total of 17,518 proteins were re-annotated, and among them, 13 candidate targets were identified. As for M. phaseolina, 30,226 initial proteins were analyzed, leading to the identification of 10 potential target proteins. This study thus provides new insights into the molecular functions of these potential targets, with the further validation of inhibitors through experimental methods holding promise for expanding our knowledge in this area

Constituintes químicos de Vernonia scorpioides (Lam) Pers. (Asteraceae)

The chemical investigation of hexane and ethanol extracts from the aerial parts of Vernonia scorpioides resulted in the isolation and characterization of a new polyacetylene lactone, rel-4-dihydro-4β-hydroxy-5a-octa-2,4,6-triynyl-furan-2-(5H)-one, along with the new ethyl 3,4-dihydroxy-6,8,10-triynyl-dodecanoate, and seven known compounds: taraxasteryl acetate, lupeyl acetate, lupeol, lupenone, β-sitosterol, stigmasterol and luteolin. The structure of all compounds was determined by spectrometric techniques (HR-ESI-MS, ¹H and 13C NMR and IV) and comparison with published spectral data

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

Educomunicação e suas áreas de intervenção: Novos paradigmas para o diálogo intercultural

oai:omp.abpeducom.org.br:publicationFormat/1O material aqui divulgado representa, em essência, a contribuição do VII Encontro Brasileiro de Educomunicação ao V Global MIL Week, da UNESCO, ocorrido na ECA/USP, entre 3 e 5 de novembro de 2016. Estamos diante de um conjunto de 104 papers executivos, com uma média de entre 7 e 10 páginas, cada um. Com este rico e abundante material, chegamos ao sétimo e-book publicado pela ABPEducom, em seus seis primeiros anos de existência. A especificidade desta obra é a de trazer as “Áreas de Intervenção” do campo da Educomunicação, colocando-as a serviço de uma meta essencial ao agir educomunicativo: o diálogo intercultural, trabalhado na linha do tema geral do evento internacional: Media and Information Literacy: New Paradigms for Intercultural Dialogue

Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others

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

O uso de sequências didáticas no ensino de Química: proposta para o estudo de modelos atômicos

Este trabalho demonstra ações de extensão desenvolvidas no Projeto “A Química nossa de cada dia”, vinculado ao Curso de Licenciatura em Química da Universidade Estadual Vale do Acaraú, Sobral - Ceará. Este projeto visa melhorias no ensino de Química da Educação Básica, mediante a inserção de Sequências Didáticas (SD) nesse nível de ensino. O ensaio tem por escopo mostrar uma SD sobre modelos atômicos, aplicada a 30 alunos de uma turma de 1º ano do Ensino Médio de uma escola pública sobralense, bem assim analisar suas contribuições para o desenvolvimento cognitivo dos discentes e o cumprimento do papel da extensão no âmbito social a que o projeto se destina. Esta SD foi elaborada mediante a colaboração entre um professor universitário, dois licenciandos (bolsistas) e o professor de Química da escola participante. Preconizou-se a utilização de atividades lúdicas (teatro científico, jogo didático, cordel), debates, dentre outros recursos que procuraram possibilitar a participação ativa dos discentes na formulação de seu conhecimento. Observou-se que a SD teve seu grau de contribuição no aspecto cognitivo dos alunos, mas, sobretudo no ‘despertar’ do interesse pelo estudo da Química. A parte referente aos modelos de Rutheford e Böhr, todavia, demanda maior aprofundamento. A atividade com a qual os alunos mais se identificaram foi o teatro científico, e, a seu turno, a que despertou maior atenção e participação. Por fim, destaca-se o fato de que estas ações também contribuíram para aproximar o âmbito Universitário e a sala de aula da Educação Básica. Palavras-chave: Extensão Universitária; Educação Básica; Ciências da Natureza; Proposta Didática The use of didactic sequence in chemistry teaching: a proposal for the study of atomic models Abstract: This paper presents the actions of an extension project called “Our Chemistry daily”, linked to the Chemistry course of the State University Vale do Acaraú, located in Sobral - Ceará. The project has aimed to promote improvements in the Basic Education chemistry teaching, through the introduction of Didactic Sequences (DS) at this level of education. The goal of this paper is to present a DS about atomic models, applied to 30 students of the 10h grade from a public high school, as well as to analyze its contribution to the cognitive development of these students and to fulfill the social role in which the project bases itself. This DS was elaborated through a collaboration between a University professor, two undergraduates, and a chemistry teacher of the given school. It was prioritized the use of playful activities (such as scientific theater, educational games, and Cordel literature), debates, and other resources that sought to enable active participation of students in the construction of their knowledge. It was noted that the DS had its contribution to the cognitive learning of the students, but, above all, in the ‘awakening’ of their interest in the study of Chemistry. However, the part referring to the Rutheford-Böhr models demands greater depth. The activity in which students were most interested was the scientific theater, which attracted the most attention and participation. Finally, it is noteworthy that these actions also contributed to bringing the University and the Basic Education closer together. Keywords: University Extension Program; Basic Education; Natural Sciences; Didactic Proposa