23 research outputs found
Arbustus unedo essence: morphological and genetic characterization of the strawberry tree of Castelo de Paiva
O medronheiro é um arbusto da região mediterrânica que pode ser encontrada por todo
o país. Ao contrário do que verifica na região sul do país, no concelho de Castelo de Paiva
é atribuída uma reduzida importância económica a esta espécie. Com o intuito de
preservar e potenciar a produção desta espécie e contribuir para a dinamização da
economia do concelho, procedeu-se à caracterização morfológica e genética de uma
amostra da população de medronheiros de Castelo de Paiva. A caracterização
morfológica e genética foi realizada para um total de 10 genótipos. Para tal recolheram-se
70 folhas aleatoriamente em cada árvore. Em 40 folhas mediu-se o comprimento, largura,
comprimento do pedúnculo, peso fresco, peso seco e determinou-se a área foliar. Dos
caracteres morfológicos analisados, aqueles que se revelaram mais úteis na distinção dos
vários genótipos foram: comprimento do pedúnculo, peso fresco e peso seco. As
restantes 30 folhas foram utilizadas para a caracterização genética. Esta caracterização foi
realizada recorrendo a um marcador de DNA, ISSR. Os 5 primeiros exemplaresutilizados
na técnica de ISSR demonstraram-se polimórficos. Os resultados da caracterização
genética sugerem que a variabilidade genética na população é média a alta.The strawberry tree is a shrub native in the Mediterranean region and it can be found
throughout Portugal. Unlike the case in the southern region of the country, in Castelo de
Paiva a minor economic importance is given to this species. In order to preserve, to
enhance the production of this species and to contribute to the boosting of the economy
of the region, we proceeded to the characterization of a small sample population of this
fruit tree of Castelo de Paiva in what concerns to its morphology and genetics. The
morphological and genetic characterization was performed for a total of 10 genotypes.
For this, 70 leaves were randomly collected from each tree. For 40 leaves, it was
measured the length, the width, the peduncle length, the wet weight, the dry weight and
determined the leaf area. Of the morphological characteristics analyzed, the ones that proved most useful in distinguishing the various genotypes were: the length peduncle, the
wet weight and the dry weight. The remaining 30 leaves were used in the genetic
characterization. This characterization was performed using a DNA marker, the ISSR.
The 5 primers used in the ISSR technique proved to be polymorphic. The results from
the genetic characterization suggest that variability in population genetics is medium to
high
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
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
Apelin is expressed in intimal smooth muscle cells and promotes their phenotypic transition
Abstract During atherosclerotic plaque formation, smooth muscle cells (SMCs) switch from a contractile/differentiated to a synthetic/dedifferentiated phenotype. We previously isolated differentiated spindle-shaped (S) and dedifferentiated rhomboid (R) SMCs from porcine coronary artery. R-SMCs express S100A4, a calcium-binding protein. We investigated the role of apelin in this phenotypic conversion, as well as its relationship with S100A4. We found that apelin was highly expressed in R-SMCs compared with S-SMCs. We observed a nuclear expression of apelin in SMCs within experimentally-induced intimal thickening of the porcine coronary artery and rat aorta. Plasmids targeting apelin to the nucleus (N. Ap) and to the secretory vesicles (S. Ap) were transfected into S-SMCs where apelin was barely detectable. Both plasmids induced the SMC transition towards a R-phenotype. Overexpression of N. Ap, and to a lesser degree S. Ap, led to a nuclear localization of S100A4. Stimulation of S-SMCs with platelet-derived growth factor-BB, known to induce the transition toward the R-phenotype, yielded the direct interaction and nuclear expression of both apelin and S100A4. In conclusion, apelin induces a SMC phenotypic transition towards the synthetic phenotype. These results suggest that apelin acts via nuclear re-localization of S100A4, raising the possibility of a new pro-atherogenic relationship between apelin and S100A4
Contribuições da Sociologia na América Latina à imaginação sociológica: análise, crítica e compromisso social Sociology's contribution in Latin America to sociological imagination: analysis, critique, and social commitment
O artigo aborda o papel desempenhado pela Sociologia na análise dos processos de transformação das sociedades latino-americanas, no acompanhamento do processo de construção do Estado e da Nação, na problematização das questões sociais na América Latina. São analisados seis períodos na Sociologia na América Latina e no Caribe: I) a herança intelectual da Sociologia ; II) a sociologia da cátedra; III) O período da "Sociologia Científica" e a configuração da "Sociologia Crítica"; IV) a crise institucional, a consolidação da "Sociologia Crítica" e a diversificação da sociologia; V) a sociologia do autoritarismo, da democracia e da exclusão; VI) a consolidação institucional e a mundialização da sociologia da América Latina (desde o ano de 2000), podendo-se afirmar que os traços distintivos do saber sociológico no continente foram: o internacionalismo, o hibridismo, a abordagem crítica dos processos e conflitos das sociedades latino-americanas e o compromisso social do sociólogo.<br>The article focuses on the role played by Sociology in the analysis of processes of change in Latin American societies, in the process of construction of Nation and State, in the debate of social issues in Latin America and the Caribbean. Six periods in Sociology in Latin America and the Caribbean are examined: I) sociology's intellectual legacy; II) sociology as a cathedra; III) the period of "Scientific Sociology"; IV) the institutional crisis, the consolidation of "Critical Sociology", and the diversifying of sociology; V) sociology of authoritarianism, democracy and exclusion; VI) institutional consolidation and globalization of Latin American sociology (since 2000). It may be said that the distinctive features of sociological knowledge in the continent were: internationalism, hybridism, the critical approach to processes and conflicts of Latin American societies, and the sociologist social commitment