Dental diversity patterns: relevance in portuguese military population

This research’s purpose was to build a dental database of a Portuguese military population, to know the frequency and distribution of different medical conditions or pathologies found in each dental piece. In order to meet the goals, this study was based on a sample of 1636 professional military people of the Portuguese Armed Forces. Dental data was collected using the Forensic Dental Symbols® and Dental Encoder® database, Microsoft Excel, and SPSS v.23. Teeth were named following the FDI notation system. The analyzed sample population was composed of 83.4% of men and 16.6% of women. The age group with most individuals was 23 - 27 years with a frequency of 32%. The most frequent code in the 32 teeth was “unrestored”. The younger group (≤32 years) had healthier teeth and less missing teeth. Although inconclusive, the dental condition allows individuals classification based on age. The short variability of dental conditions found in the sample, which reflects the population under study, restricts the analysis and, hence, the number of inferences that could be drawn. Studying more heterogenic populations could provide more conclusive results and extraction of additional knowledge from the sample.info:eu-repo/semantics/publishedVersio

Characterization of GlobalFiler loci in Angolan and Guinean populations inhabiting Southern Portugal

We analyzed the GlobalFiler short tandem repeat (STR) loci for 152 and 70 unrelated individuals from Angolan and Guinean immigrant populations inhabiting Southern Portugal, respectively. After Bonferroni correction, no significant deviations from the Hardy-Weinberg equilibrium and linkage disequilibrium were detected for either population. For the Angolan population, SE33 was the most informative marker. In contrast, D5S818 and D13S317 were the least informative loci. The combined power of discrimination was 99.9999999999999999999999961907%. For the Guinean population, SE33 and D21S1 were the most informative loci, while D13S317 was the least. The combined power of discrimination was 99.99999999999999999999997915%. No significant differences were observed between Angolan, Guinean, and Afro-American populations for any of the analyzed STRs. The South African population presented significant differences at D22S1045 and D10S1248 when compared to Angola, and at D22S1045 when compared to Guinea-Bissau. The MDS plot and neighbor-joining tree analysis revealed that Angolan and Guinean populations are genetically close to African-American and South African populations, and genetically different from Korean, Mexican, European (including American-Caucasian), and Middle Eastern populations.eu-repo/semantics/submittedVersio

Diversity in dental clinical characteristics in portuguese and spanish military populations

Introduction Dental characteristics were compared in population samples of Spanish and Portuguese military personnel. The main aim of this study was to identify those dental characteristics that could potentially serve to differentiate between these populations in a forensic analysis. Material and methods A sample of 5136 individuals belonging to the professional military staff of the Portuguese and Spanish armed forces was studied. Dental data were recorded with the Forensic Dental Symbols® for the Dental Encoder® database. The population sample analysed in this study consisted of 68.1% Spanish and 31.9% Portuguese individuals. Results The population was mostly male, with 86.6% men (88.1% in the Spanish sample versus 83.4% in the Portuguese sample), and 13.4% women (11.9% Spanish and 16.6% Portuguese). The frequency of unrestored teeth was lowest for first molars in all quadrants, and the highest frequency of unrestored teeth (>90%) was for the upper and lower anterior teeth and lower first premolars. The highest frequencies of restorative treatment were found for the first and second molars in all quadrants, and the highest frequencies of missing teeth were found for the third molars (always >28%). Concordance analysis showed that correlations between contralateral teeth were significantly higher than between antagonist teeth in both samples. Conclusions Our findings provide potentially useful information on the importance of dental record databases and their value for identification purposes.Introducción Se ha realizado una comparación de las características dentales de 2 poblaciones militares de Portugal y España. El objetivo principal de esta investigación fue identificar aquellas características dentales que podrían ser de utilidad para diferenciar estas poblaciones en un análisis forense. Material y métodos El estudio se realizó en una muestra compuesta por 5.136 militares profesionales de las fuerzas armadas, el 31,9% eran militares portugueses y el 68,1% del total de la muestra pertenecían a las fuerzas armadas españolas. Los datos dentales se registraron empleando los símbolos dentales descritos en Forensic Dental Symbols®, gestionados con la base de datos Dental Encoder®. Resultados La población de estudio estaba constituida por un 86,6% de hombres (88,1% en la muestra española y 83,4% en la muestra portuguesa) y un 13,4% de mujeres (11,9% en la muestra española y 16,6% en la muestra portuguesa). La frecuencia de dientes no restaurados fue menor para los primeros molares en todos los cuadrantes, mientras que la mayor frecuencia de esta característica (>90%) se observó en los dientes anteriores, superiores e inferiores, y en los primeros premolares inferiores. Las frecuencias más altas de tratamientos restauradores fueron encontradas para los primeros y segundos molares en todos los cuadrantes, y las mayores frecuencias de ausencias dentarias se observaron en los terceros molares (superior al 28% en todos los cuadrantes). El análisis de concordancia mostró que las correlaciones entre los dientes contralaterales fueron significativamente mayores que entre los dientes antagonistas, para ambas muestras poblacionales de estudio. Conclusiones Nuestros resultados proporcionan información potencialmente útil sobre la importancia de las bases de datos de registros dentales y el análisis de las características dentales con fines de identificación.info:eu-repo/semantics/publishedVersio

Intoxicação por novas substâncias psicoativas: descrição de um caso

Apresentação oral na III Conferência do Instituto Nacional de Medicina Legal e Ciências Forenses, Coimbra, 2016Introdução: As novas substâncias psicoativas (NPS) representam um contexto emergente no mundo desenvolvido, e Portugal não é exceção. Apresentando diversas designações no mercado ilícito, estes compostos surgem de forma regular, substituindo outros previamente identificados pelas autoridades. Desse modo, o “mercado ilícito” tenta circundar as autoridades fiscalizadoras, sendo exemplo a identificação de mais de cem (100) substâncias diferentes, por ano, quer em 2014, quer em 2015. Os dados referentes a intoxicações por estas substâncias são escassos e dispersos devido à referida “volatilidade” no mercado, a qual condiciona o cumprimento dos critérios necessários para a identificação de substâncias. Os autores reportam um caso de intoxicação multi-substâncias, onde se incluem NPS. Material e Métodos: No âmbito da autópsia médico-legal realizada a um indivíduo do sexo masculino, com 26 anos, foram solicitados exames toxicológicos complementares, para determinação de Etanol, Drogas de Abuso e Substâncias Medicamentosas. O procedimento analítico incluiu a extração em fase sólida (SPE) das substâncias de interesse com recurso a cartuchos HLB OASIS® (Waters), e a utilização de técnicas de análise instrumental hifenadas, nomeadamente um cromatógrafo de gases GC-450 acoplado a um espectrómetro de massa do tipo triplo quadrupolo MS-300 (Bruker), um cromatógrafo de gases GC6780 acoplado a um espectrometro de massa do tipo quadrupolo simples 5973N (Agilent) e um Cromatógrafo líquido de ultra performance (UPLC), acoplado a um espectrómetro de massa do tipo triplo quadrupolo (WATERS). Foram analisadas amostras de sangue periférico e da cavidade cardíaca e diversos vestígios encontrados junto ao cadáver. Resultados: A análise dos vestígios permitiu a identificação das seguintes substâncias: 3-MeO-PCP (1-[1-(3-metoxifenil)ciclohexil]piperidina), DPT (N,N-dipropiltriptamina), XLR-11 (1-[5-(fluoropentil)-1H-indol-3-il]-(2,2,3,3-tetrametilciclopropil)metanona; 5-MeO-DMT (2-(metoxi-1H-indol-3-il)-N,N-dimetiletanamina) e O-desmetiltramadol (O-DT). A análise do sangue periférico permitiu a determinação de: O-desmetiltramadol (4225 ng/mL), THC (1,20 ng/mL), THCCOOH (4,50 ng/mL), Mianserina (74 ng/mL), Topiramato (VE:6393 ng/mL) e Bromazepam (138 ng/mL). A análise do sangue da cavidade cardíaca permitiu a determinação da 3-MeO-PCP (VE: 525 ng/mL). Todos os outros compostos identificados nos vestígios não foram encontrados nas amostras de sangue analisadas. Discussão: A informação social e os dados da autópsia não permitiram o diagnóstico diferencial médico-legal entre suicídio e acidente. Em contrapartida, a presença de vários compostos leva a concluir que a morte terá sido devida a uma intoxicação multi-substâncias, com especial relevância para os efeitos devidos às NPS presentes no sangue (3-MeO-PCP e O-DT).info:eu-repo/semantics/publishedVersio

Geography and ecology shape the phylogenetic composition of Amazonian tree communities

Aim: Amazonia hosts more tree species from numerous evolutionary lineages, both young and ancient, than any other biogeographic region. Previous studies have shown that tree lineages colonized multiple edaphic environments and dispersed widely across Amazonia, leading to a hypothesis, which we test, that lineages should not be strongly associated with either geographic regions or edaphic forest types. Location: Amazonia. Taxon: Angiosperms (Magnoliids; Monocots; Eudicots). Methods: Data for the abundance of 5082 tree species in 1989 plots were combined with a mega-phylogeny. We applied evolutionary ordination to assess how phylogenetic composition varies across Amazonia. We used variation partitioning and Moran\u27s eigenvector maps (MEM) to test and quantify the separate and joint contributions of spatial and environmental variables to explain the phylogenetic composition of plots. We tested the indicator value of lineages for geographic regions and edaphic forest types and mapped associations onto the phylogeny. Results: In the terra firme and várzea forest types, the phylogenetic composition varies by geographic region, but the igapó and white-sand forest types retain a unique evolutionary signature regardless of region. Overall, we find that soil chemistry, climate and topography explain 24% of the variation in phylogenetic composition, with 79% of that variation being spatially structured (R$^{2}$ = 19% overall for combined spatial/environmental effects). The phylogenetic composition also shows substantial spatial patterns not related to the environmental variables we quantified (R$^{2}$ = 28%). A greater number of lineages were significant indicators of geographic regions than forest types. Main Conclusion: Numerous tree lineages, including some ancient ones (>66 Ma), show strong associations with geographic regions and edaphic forest types of Amazonia. This shows that specialization in specific edaphic environments has played a long-standing role in the evolutionary assembly of Amazonian forests. Furthermore, many lineages, even those that have dispersed across Amazonia, dominate within a specific region, likely because of phylogenetically conserved niches for environmental conditions that are prevalent within regions

Geography and ecology shape the phylogenetic composition of Amazonian tree communities

AimAmazonia hosts more tree species from numerous evolutionary lineages, both young and ancient, than any other biogeographic region. Previous studies have shown that tree lineages colonized multiple edaphic environments and dispersed widely across Amazonia, leading to a hypothesis, which we test, that lineages should not be strongly associated with either geographic regions or edaphic forest types.LocationAmazonia.TaxonAngiosperms (Magnoliids; Monocots; Eudicots).MethodsData for the abundance of 5082 tree species in 1989 plots were combined with a mega-phylogeny. We applied evolutionary ordination to assess how phylogenetic composition varies across Amazonia. We used variation partitioning and Moran's eigenvector maps (MEM) to test and quantify the separate and joint contributions of spatial and environmental variables to explain the phylogenetic composition of plots. We tested the indicator value of lineages for geographic regions and edaphic forest types and mapped associations onto the phylogeny.ResultsIn the terra firme and várzea forest types, the phylogenetic composition varies by geographic region, but the igapó and white-sand forest types retain a unique evolutionary signature regardless of region. Overall, we find that soil chemistry, climate and topography explain 24% of the variation in phylogenetic composition, with 79% of that variation being spatially structured (R2 = 19% overall for combined spatial/environmental effects). The phylogenetic composition also shows substantial spatial patterns not related to the environmental variables we quantified (R2 = 28%). A greater number of lineages were significant indicators of geographic regions than forest types.Main ConclusionNumerous tree lineages, including some ancient ones (>66 Ma), show strong associations with geographic regions and edaphic forest types of Amazonia. This shows that specialization in specific edaphic environments has played a long-standing role in the evolutionary assembly of Amazonian forests. Furthermore, many lineages, even those that have dispersed across Amazonia, dominate within a specific region, likely because of phylogenetically conserved niches for environmental conditions that are prevalent within regions

Geographic patterns of tree dispersal modes in Amazonia and their ecological correlates

Aim: To investigate the geographic patterns and ecological correlates in the geographic distribution of the most common tree dispersal modes in Amazonia (endozoochory, synzoochory, anemochory and hydrochory). We examined if the proportional abundance of these dispersal modes could be explained by the availability of dispersal agents (disperser-availability hypothesis) and/or the availability of resources for constructing zoochorous fruits (resource-availability hypothesis). Time period: Tree-inventory plots established between 1934 and 2019. Major taxa studied: Trees with a diameter at breast height (DBH) ≥ 9.55 cm. Location: Amazonia, here defined as the lowland rain forests of the Amazon River basin and the Guiana Shield. Methods: We assigned dispersal modes to a total of 5433 species and morphospecies within 1877 tree-inventory plots across terra-firme, seasonally flooded, and permanently flooded forests. We investigated geographic patterns in the proportional abundance of dispersal modes. We performed an abundance-weighted mean pairwise distance (MPD) test and fit generalized linear models (GLMs) to explain the geographic distribution of dispersal modes. Results: Anemochory was significantly, positively associated with mean annual wind speed, and hydrochory was significantly higher in flooded forests. Dispersal modes did not consistently show significant associations with the availability of resources for constructing zoochorous fruits. A lower dissimilarity in dispersal modes, resulting from a higher dominance of endozoochory, occurred in terra-firme forests (excluding podzols) compared to flooded forests. Main conclusions: The disperser-availability hypothesis was well supported for abiotic dispersal modes (anemochory and hydrochory). The availability of resources for constructing zoochorous fruits seems an unlikely explanation for the distribution of dispersal modes in Amazonia. The association between frugivores and the proportional abundance of zoochory requires further research, as tree recruitment not only depends on dispersal vectors but also on conditions that favour or limit seedling recruitment across forest types

Mapping density, diversity and species-richness of the Amazon tree flora

Using 2.046 botanically-inventoried tree plots across the largest tropical forest on Earth, we mapped tree species-diversity and tree species-richness at 0.1-degree resolution, and investigated drivers for diversity and richness. Using only location, stratified by forest type, as predictor, our spatial model, to the best of our knowledge, provides the most accurate map of tree diversity in Amazonia to date, explaining approximately 70% of the tree diversity and species-richness. Large soil-forest combinations determine a significant percentage of the variation in tree species-richness and tree alpha-diversity in Amazonian forest-plots. We suggest that the size and fragmentation of these systems drive their large-scale diversity patterns and hence local diversity. A model not using location but cumulative water deficit, tree density, and temperature seasonality explains 47% of the tree species-richness in the terra-firme forest in Amazonia. Over large areas across Amazonia, residuals of this relationship are small and poorly spatially structured, suggesting that much of the residual variation may be local. The Guyana Shield area has consistently negative residuals, showing that this area has lower tree species-richness than expected by our models. We provide extensive plot meta-data, including tree density, tree alpha-diversity and tree species-richness results and gridded maps at 0.1-degree resolution

Consistent patterns of common species across tropical tree communities

Trees structure the Earth’s most biodiverse ecosystem, tropical forests. The vast number of tree species presents a formidable challenge to understanding these forests, including their response to environmental change, as very little is known about most tropical tree species. A focus on the common species may circumvent this challenge. Here we investigate abundance patterns of common tree species using inventory data on 1,003,805 trees with trunk diameters of at least 10 cm across 1,568 locations1,2,3,4,5,6 in closed-canopy, structurally intact old-growth tropical forests in Africa, Amazonia and Southeast Asia. We estimate that 2.2%, 2.2% and 2.3% of species comprise 50% of the tropical trees in these regions, respectively. Extrapolating across all closed-canopy tropical forests, we estimate that just 1,053 species comprise half of Earth’s 800 billion tropical trees with trunk diameters of at least 10 cm. Despite differing biogeographic, climatic and anthropogenic histories7, we find notably consistent patterns of common species and species abundance distributions across the continents. This suggests that fundamental mechanisms of tree community assembly may apply to all tropical forests. Resampling analyses show that the most common species are likely to belong to a manageable list of known species, enabling targeted efforts to understand their ecology. Although they do not detract from the importance of rare species, our results open new opportunities to understand the world’s most diverse forests, including modelling their response to environmental change, by focusing on the common species that constitute the majority of their trees.Publisher PDFPeer reviewe

Rarity of monodominance in hyperdiverse Amazonian forests.

Tropical forests are known for their high diversity. Yet, forest patches do occur in the tropics where a single tree species is dominant. Such "monodominant" forests are known from all of the main tropical regions. For Amazonia, we sampled the occurrence of monodominance in a massive, basin-wide database of forest-inventory plots from the Amazon Tree Diversity Network (ATDN). Utilizing a simple defining metric of at least half of the trees ≥ 10 cm diameter belonging to one species, we found only a few occurrences of monodominance in Amazonia, and the phenomenon was not significantly linked to previously hypothesized life history traits such wood density, seed mass, ectomycorrhizal associations, or Rhizobium nodulation. In our analysis, coppicing (the formation of sprouts at the base of the tree or on roots) was the only trait significantly linked to monodominance. While at specific locales coppicing or ectomycorrhizal associations may confer a considerable advantage to a tree species and lead to its monodominance, very few species have these traits. Mining of the ATDN dataset suggests that monodominance is quite rare in Amazonia, and may be linked primarily to edaphic factors