Educomunicação em Tempos de Pandemia:

Os textos que compõem esta obra são oriundos do VIII Colóquio Ibero-americano de Educomunicação (VIII CIEducom) e IX Colóquio Catarinense de Educomunicação (IX CCEducom), realizados em março de 2021. Em um ano no qual o vírus SARS-CoV-2 e variantes circularam por diversos territórios, Educomunicação em tempos de pandemia: práticas e desafios foi o tema discutido nos eventos. Este livro colocado à disposição do público é um modo de compartilhar caminhos e convidar pessoas curiosas a percorrerem, por meio das palavras e recursos gráficos, desafios identificados e estratégias para o enfrentamento deste inesperado período de pandemia

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

QTL mapping associated with resistance to Alternaria alternata in citrus hybrids

Alternaria brown spot (ABS) disease is caused by a fungus of Alternaria genus, that causes injury and fruit depreciation, leaves fall, drought of pointers and new shoots. The action of the fungus Alternaria alternata f. sp. citri is directly associated by the presence of toxin receptors on susceptible genotypes. The objectives of this study were: (1) to characterize the phenotype of 264 citrus hybrids obtained from crossing LPA Pera de Abril sweet orange (Citrus sinensis L. Osbeck) vs H163, a hybrid between Murcott tangor (C. reticulata x C. sinensis) x Pera sweet orange (C. sinensis), for response to A. alternata, via conidia suspension inoculation of detached young leaves (in vitro) and (2) construction of a linkage map using DArT_seq markers to identify possible QTL (Quantitative Trait Loci) associated to disease resistance. The fungus was isolated from lesions of Murcott tangor fruits with ABS symptoms and inoculated via conidia suspension on detached young leaves (in vitro). Two hundred and thirty five hybrids were evaluated and 70 (30%) showed different levels of disease symptoms after 72 hours of inoculation with the fungus on detached leaves and 165 (70%) were asymptomatic. The integrated linkage map, built with OneMap program, resulted in 726 DArT_seqTM and three SSR molecular markers that covered nine linkage groups, corresponding to the haploid number of chromosomes of the specie. Using the values of AUDPC, seven QTLs associated with resistance to ABS were localized in linkage groups of the integrated map. The integrated linkage map of Pera de Abril sweet orange (LPA) vs. H163 has a high degree of synteny with pseudo-chromosomes of sweet orange (C. sinensis).Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)A mancha marrom de alternaria (MMA) é uma doença causada por um fungo do gênero Alternaria, que causa lesões e depreciação em frutos de tangerinas, quedas de folhas, seca de ponteiros e de brotações novas. A ação do fungo Alternaria alternata f. sp. citri está diretamente associada à presença de receptores de toxinas em genótipos suscetíveis. Os objetivos do presente estudo foram: (1) caracterizar o fenótipo de 264 híbridos de citros obtidos do cruzamento de LPA (laranja Pera de Abril) (Citrus sinensis L. Osbeck) vs o H163, híbrido de tangor Murcott (C. reticulata x C. sinensis) x laranja Pera (C. sinensis), quanto à resposta à A. alternata e (2) construir um mapa de ligação integrado utilizando marcadores moleculares DArT_seq e localizar QTLs (Quantitative trait loci) associados à resistência à doença. A partir de lesões de tangor Murcott, com sintomas de MMA, foi obtido um isolado do fungo e foram avaliados 235 híbridos após inoculação de suspensão de conídios em folhas jovens destacadas (in vitro). Após 72 horas de inoculação, setenta híbridos (30%) apresentaram diferentes níveis de sintomas da doença e 165 (70%) dos indivíduos foram assintomáticos. O mapa de ligação integrado, construído com o programa OneMap, resultou em 726 marcadores DArT_seqTM e três SSR cobrindo 9 grupos de ligação, correspondendo ao número haplóide de cromossomos da espécie. Os sete QTLs (Quantitative trait Loci) localizados, associados à resistência a A. alternata, foram oriundos de utilização de valores de BLUP (Best Linear Unbiased Prediction), obtidos a partir da AACPD (Àrea Abaixo da Curva de Progresso da Doença). O mapa de ligação gênica integrado de LPA vs H163 apresenta alto grau de sintenia com os pseudo-cromossomos de laranja doce (C. sinensis)

RESISTANCE TO ALTERNARIA BROWN SPOT OF NEW CITRUS HYBRIDS

ABSTRACT Alternaria brown spot (ABS) disease is caused by the fungus of Alternaria alternata f. sp. citri, which causes injury in leaves, branches and fruits of citrus. The action of the pathogen is directly related to the presence of toxin receptors in susceptible genotypes. The objective of this study was to characterize a population of citrus hybrids obtained from controlled crosses between Pêra de Abril sweet orange and the hybrid of Murcott tangor x Pêra sweet orange (TM x LP 163) for response to ABS through the in vitro inoculation of fungal spores in young detached leaves. The fungus was isolated from the lesions of Murcott tangor fruits that exhibited ABS symptoms. Two hundred thirty-five hybrids were evaluated, and 70 (30%) showed different levels of disease symptoms on detached leaves after 72 hours of inoculation with the fungus, and 165 (70%) were asymptomatic. The frequency of segregation observed (165R:70S) and high level of heritability (h2g = 0.91) suggest that few genes may be involved in controlling the inheritance of ABS resistance in citrus

Genomic epidemiology reveals how restriction measures shaped the SARS-CoV-2 epidemic in Brazil

Abstract Brazil has experienced some of the highest numbers of COVID-19 infections and deaths globally and made Latin America a pandemic epicenter from May 2021. Although SARS-CoV-2 established sustained transmission in Brazil early in the pandemic, important gaps remain in our understanding of local virus transmission dynamics. Here, we describe the genomic epidemiology of SARS-CoV-2 using near-full genomes sampled from 27 Brazilian states and an adjacent country - Paraguay. We show that the early stage of the pandemic in Brazil was characterised by the co-circulation of multiple viral lineages, linked to multiple importations predominantly from Europe, and subsequently characterized by large local transmission clusters. As the epidemic progressed, the absence of effective restriction measures led to the local emergence and international spread of Variants of Concern (VOC) and under monitoring (VUM), including the Gamma (P.1) and Zeta (P.2) variants. In addition, we provide a preliminary genomic overview of the epidemic in Paraguay, showing evidence of importation from Brazil. These data reinforce the need for the implementation of widespread genomic surveillance in South America as a toolkit for pandemic monitoring and providing a means to follow the real-time spread of emerging SARS-CoV-2 variants with possible implications for public health and immunization strategies