Affinity labeling of calmodulin-binding proteins in skeletal muscle sarcoplasmic reticulum

125I-Calmodulin (125I-CaM) binding to sarcoplasmic reticulum (SR) membranes isolated from skeletal muscle cells was investigated, and the CaM receptors associated with the membrane were identified by using the photoaffinity cross-linker methyl-4-azidobenzimidate or the chemical cross-linker dithiobis-N-hydroxysuccinimidyl propionate. Exogenous CaM binds to CaM-depleted membranes in a Ca2+- or Mg2+-dependent way. When both cations are added together to the reaction medium, the stimulatory effects appear to be additive, suggesting that Ca2+ and Mg2+ act by two distinct mechanisms. The Ca2+/Mg2+-dependent binding of CaM is specific since it is inhibited by unlabeled CaM or by trifluoperazine. Furthermore, it is saturable and shows one class of high affinity binding sites with a KD of about 52 nM and a beta max of about 5 pmol/mg of protein. The sensitivity of Ca2+ is expressed in two steps reaching half-saturation at free Ca2+ concentrations of about 1.6 x 10(-7) and 3 x 10(-5) M, respectively. On the other hand, the sensitivity to Mg2+ is expressed in one step with a half-saturation Mg2+ concentration of about 2 x 10(-3) M. Electrophoretic analysis in a polyacrylamide gradient and subsequent autoradiography demonstrated a major CaM-binding protein of about 60 kDa and five minor CaM receptors of about 148, 125, 41, 33, and 23 kDa, respectively. The major labeled protein (60 kDa) probably represents the CaM-dependent component involved in Ca2+ release from SR, whereas the others represent a previously unrecognized class of CaM receptors in skeletal SR

The role of environmental filtering, geographic distance and dispersal barriers in shaping the turnover of plant and animal species in Amazonia

To determine the effect of rivers, environmental conditions, and isolation by distance on the distribution of species in Amazonia. Location: Brazilian Amazonia. Time period: Current. Major taxa studied: Birds, fishes, bats, ants, termites, butterflies, ferns + lycophytes, gingers and palms. We compiled a unique dataset of biotic and abiotic information from 822 plots spread over the Brazilian Amazon. We evaluated the effects of environment, geographic distance and dispersal barriers (rivers) on assemblage composition of animal and plant taxa using multivariate techniques and distance- and raw-data-based regression approaches. Environmental variables (soil/water), geographic distance, and rivers were associated with the distribution of most taxa. The wide and relatively old Amazon River tended to determine differences in community composition for most biological groups. Despite this association, environment and geographic distance were generally more important than rivers in explaining the changes in species composition. The results from multi-taxa comparisons suggest that variation in community composition in Amazonia reflects both dispersal limitation (isolation by distance or by large rivers) and the adaptation of species to local environmental conditions. Larger and older river barriers influenced the distribution of species. However, in general this effect is weaker than the effects of environmental gradients or geographical distance at broad scales in Amazonia, but the relative importance of each of these processes varies among biological groups

Temas de investigação em direitos humanos para o século XXI

Edição comemorativa do 10.º aniversário do Mestrado em Direitos Humanos da Universidade do Minho.Este livro é uma celebração do ensino e da investigação em direitos humanos que têm vindo a ser desenvolvidos, na Escola de Direito da Universidade do Minho, há já mais de uma década. A sua publicação num momento em que se avolumam os riscos para valores fundamentais subjacentes à proteção dos direitos humanos – como a igualdade e a não discriminação, a proibição da escravatura e de tratamentos cruéis, desumanos e degradantes, a liberdade de religião ou crença, entre muitos outros –, torna-o especialmente oportuno. Os sinais de aparente retrocesso no consenso das nossas sociedades a respeito desses valores – visíveis no triunfo político de discursos abertamente racistas, xenófobos, sexistas, etc. – recordam-nos que, também no mundo ocidental, os direitos humanos são um work in progress, não um dado adquirido. Os novos riscos para a dignidade da pessoa humana associados aos avanços tecnológicos andam de par com velhas formas de subalternização e de opressão. O campo para a reflexão crítica é muito vasto. Os temas que hoje (pre)ocupam académicos, decisores políticos e ativistas de direitos humanos são também aqueles que estruturam o plano de estudos do Mestrado em Direitos Humanos da Universidade do Minho. Todos estes temas surgem ao longo do presente livro, que reúne contributos de muitos dos membros da comunidade científica e académica que o Mestrado em Direitos Humanos mobilizou e ajudou a dinamizar ao longo da última década, entre docentes do Mestrado, colaboradores em júris de provas públicas e/ou na orientação de mestrandos, oradores convidados e estudantes. Os textos aqui reunidos refletem bem as sinergias interdisciplinares, interinstitucionais e inter-nacionais que o Mestrado em Direitos Humanos foi capaz de criar, não apenas pela variedade de campos disciplinares representados – Direito, Filosofia, Relações Internacionais, Antropologia –, mas também pela participação de autores que são docentes e/ou investigadores em diversas instituições nacionais e estrangeiras, como a Faculdade de Direito da Universidade do Porto, a Faculdade de Economia da Universidade de Coimbra, a Universidade Federal da Paraíba e a Pontifícia Universidade Católica de São Paulo.info:eu-repo/semantics/publishedVersio

SARS-CoV-2 introductions and early dynamics of the epidemic in Portugal

Genomic surveillance of SARS-CoV-2 in Portugal was rapidly implemented by the National Institute of Health in the early stages of the COVID-19 epidemic, in collaboration with more than 50 laboratories distributed nationwide. Methods By applying recent phylodynamic models that allow integration of individual-based travel history, we reconstructed and characterized the spatio-temporal dynamics of SARSCoV-2 introductions and early dissemination in Portugal. Results We detected at least 277 independent SARS-CoV-2 introductions, mostly from European countries (namely the United Kingdom, Spain, France, Italy, and Switzerland), which were consistent with the countries with the highest connectivity with Portugal. Although most introductions were estimated to have occurred during early March 2020, it is likely that SARS-CoV-2 was silently circulating in Portugal throughout February, before the first cases were confirmed. Conclusions Here we conclude that the earlier implementation of measures could have minimized the number of introductions and subsequent virus expansion in Portugal. This study lays the foundation for genomic epidemiology of SARS-CoV-2 in Portugal, and highlights the need for systematic and geographically-representative genomic surveillance.We gratefully acknowledge to Sara Hill and Nuno Faria (University of Oxford) and Joshua Quick and Nick Loman (University of Birmingham) for kindly providing us with the initial sets of Artic Network primers for NGS; Rafael Mamede (MRamirez team, IMM, Lisbon) for developing and sharing a bioinformatics script for sequence curation (https://github.com/rfm-targa/BioinfUtils); Philippe Lemey (KU Leuven) for providing guidance on the implementation of the phylodynamic models; Joshua L. Cherry (National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health) for providing guidance with the subsampling strategies; and all authors, originating and submitting laboratories who have contributed genome data on GISAID (https://www.gisaid.org/) on which part of this research is based. The opinions expressed in this article are those of the authors and do not reflect the view of the National Institutes of Health, the Department of Health and Human Services, or the United States government. This study is co-funded by Fundação para a Ciência e Tecnologia and Agência de Investigação Clínica e Inovação Biomédica (234_596874175) on behalf of the Research 4 COVID-19 call. Some infrastructural resources used in this study come from the GenomePT project (POCI-01-0145-FEDER-022184), supported by COMPETE 2020 - Operational Programme for Competitiveness and Internationalisation (POCI), Lisboa Portugal Regional Operational Programme (Lisboa2020), Algarve Portugal Regional Operational Programme (CRESC Algarve2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF), and by Fundação para a Ciência e a Tecnologia (FCT).info:eu-repo/semantics/publishedVersio

MAMMALS IN PORTUGAL : A data set of terrestrial, volant, and marine mammal occurrences in P ortugal

Mammals are threatened worldwide, with 26% of all species being includedin the IUCN threatened categories. This overall pattern is primarily associatedwith habitat loss or degradation, and human persecution for terrestrial mam-mals, and pollution, open net fishing, climate change, and prey depletion formarine mammals. Mammals play a key role in maintaining ecosystems func-tionality and resilience, and therefore information on their distribution is cru-cial to delineate and support conservation actions. MAMMALS INPORTUGAL is a publicly available data set compiling unpublishedgeoreferenced occurrence records of 92 terrestrial, volant, and marine mam-mals in mainland Portugal and archipelagos of the Azores and Madeira thatincludes 105,026 data entries between 1873 and 2021 (72% of the data occur-ring in 2000 and 2021). The methods used to collect the data were: live obser-vations/captures (43%), sign surveys (35%), camera trapping (16%),bioacoustics surveys (4%) and radiotracking, and inquiries that represent lessthan 1% of the records. The data set includes 13 types of records: (1) burrowsjsoil moundsjtunnel, (2) capture, (3) colony, (4) dead animaljhairjskullsjjaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8),observation in shelters, (9) photo trappingjvideo, (10) predators dietjpelletsjpine cones/nuts, (11) scatjtrackjditch, (12) telemetry and (13) vocalizationjecholocation. The spatial uncertainty of most records ranges between 0 and100 m (76%). Rodentia (n=31,573) has the highest number of records followedby Chiroptera (n=18,857), Carnivora (n=18,594), Lagomorpha (n=17,496),Cetartiodactyla (n=11,568) and Eulipotyphla (n=7008). The data setincludes records of species classified by the IUCN as threatened(e.g.,Oryctolagus cuniculus[n=12,159],Monachus monachus[n=1,512],andLynx pardinus[n=197]). We believe that this data set may stimulate thepublication of other European countries data sets that would certainly contrib-ute to ecology and conservation-related research, and therefore assisting onthe development of more accurate and tailored conservation managementstrategies for each species. There are no copyright restrictions; please cite thisdata paper when the data are used in publications.info: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 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