Diversidade e Estrutura Genéticas de Bryconamericus aff. Iheringii (Characiformes: Characidae) na Área de Influência do Reservatório da Itaipu

Trabalho de Conclusão de Curso apresentado ao Instituto Latino-Americano de Ciências da Vida e Natureza da Universidade Federal da Integração Latino-Americana, como requisito parcial à obtenção do título de Bacharel em Ciências Biológicas – Ecologia e Biodiversidade.A diversidade genética é necessária para que as populações evoluam e se adaptem às mudanças ambientais, e comumente, está distribuída em um padrão dentro e entre populações que é referido como estrutura genética. O isolamento e a existência de poucos caminhos migratórios entre águas doces implicam na estruturação genética, principalmente, para peixes que possuem baixa mobilidade. Peixes de pequeno porte (≤ 15 cm de comprimento), que habitam riachos, representam, no mínimo 50% de toda a ictiofauna sul-americana e apresentam um alto grau de endemismo, devido, em parte, à sua baixa capacidade de deslocamento. Neste contexto, o presente trabalho objetivou avaliar a diversidade e a estrutura genéticas do caracídeo Bryconamericus aff. iheringii na área de influência do reservatório da Itaipu Binacional. Para isto, foram analisados 47 espécimes, 23 coletados em riachos da margem direita (Paraguai) e 24 coletados em riachos da margem esquerda (Brasil) do reservatório da Itaipu. Para acessar sua diversidade genética, foi empregado o marcador molecular D-loop, sendo estimado o número de haplótipos, os índices de diversidade haplotípica e nucleotídica e o nível de estruturação entre as diferentes amostras. B. aff. iheringii apresentou níveis de diversidade genética dentro do padrão relatado para a espécie, com moderados (amostras do Paraguai) a altos (amostras do Brasil) níveis de diversidade, o que se deve, sobretudo, ao fato de que quase todos os riachos paraguaios analisados são de uma única microbacia, enquanto os riachos brasileiros são de quatro microbacias diferentes. As populações não parecem ter respondido a eventos drásticos recentes, pois mesmo as presentes em regiões sob a pressão de atividades agrícolas, mostram variações no DNA mitocondrial. Foram encontrados altos níveis de estruturação genética entre o conjunto de amostras paraguaio e brasileiro e entre as microbacias dentro de cada país, o que se deve, principalmente, aos processos de colonização destas drenagens, os quais possivelmente envolvem fundadores com diferentes linhagens haplotípicas. Além disso, parece plausível que o rio Paraná (reservatório da Itaipu) funciona como uma barreira ao fluxo gênico entre as diferentes margens e entre suas microbacias. Deste modo, a identificação de linhagens é de grande importância, pois a manutenção da diversidade genética de uma espécie depende de sua preservação. Considerando a importância de estudos genético-populacionais para a conservação de espécies, espera-se que este trabalho possa servir como base para futuros estudos mais amplos com peixes de riachos

Artificial neural networks for energy analysis of office buildings with daylighting

An artificial neural network (ANN) model was developed for office buildings with daylighting for subtropical climates. A total of nine variables were used as the input parameters - four variables were related to the external weather conditions (daily average dry-bulb temperature, daily average wet-bulb temperature, daily global solar radiation and daily average clearness index), four for the building envelope designs (solar aperture, daylight aperture, overhang and side-fins projections), and the last variable was day type (i.e. weekdays, Saturdays and Sundays). There were four nodes at the output layer with the estimated daily electricity use for cooling, heating, electric lighting and total building as the output. Building energy simulation using EnergyPlus was conducted to generate daily building energy use database for the training and testing of ANNs. The Nash-Sutcliffe efficiency coefficient for the ANN modelled cooling, heating, electric lighting and total building electricity use was 0.994, 0.940, 0.993, and 0.996, respectively, indicating excellent predictive power. Error analysis showed that lighting electricity use had the smallest errors, from 0.2% under-estimation to 3.6% over-estimation, with the coefficient of variation of the root mean square error ranging from 3% to 5.6%.Energy analysis Artificial neural networks Daylighting Office buildings Optimisation

Impact of climate change on commercial sector air conditioning energy consumption in subtropical Hong Kong

Past and future trend of electricity use for air conditioning in the entire commercial sector in subtropical climates using 1979-2008 measured meteorological data as well as predictions for 2009-2100 from a general circulation model (MIROC3.2-H) was investigated. Air conditioning consumption showed an increasing trend over the past 30 years from 1979 to 2008. Principal component analysis (PCA) of measured and predicted monthly mean dry-bulb temperature, wet-bulb temperature and global solar radiation was conducted to determine a new climatic index Z for 1979-2008 and future 92 years (2009-2100) based on two emissions scenarios B1 and A1B (low and medium forcing). Through regression analysis, electricity use in air conditioning for the 92-year period was estimated. For low forcing, average consumption in 2009-2038, 2039-2068 and 2069-2100 would be, respectively, 5.7%, 12.8% and 18.4% more than the 1979-2008 average, with a mean 12.5% increase for the entire 92-year period. Medium forcing showed a similar increasing trend, but 1-4% more. Standard deviations of the monthly air conditioning consumption were found to be smaller suggesting possible reduction in seasonal variations in future years.Commercial sector Electricity use Air conditioning Global warming

Long-term trends of heat stress and energy use implications in subtropical climates

Past and future trends of human comfort in terms of heat and cold stresses under the local subtropical climates using measured meteorological data as well as predictions from general climate models were investigated. Summer discomfort showed an increasing trend (and winter discomfort a decreasing trend) over the past 41 years from 1968 to 2008. Monthly mean minimum and maximum temperatures and moisture content predictions from a general climate model (MIROC3.2-H) were used to determine summer and winter discomfort for future years (2009-2100) based on two emissions scenarios B1 and A1B (low and medium forcing). The 92-year (2009-2100) mean cold stress would be reduced from the 41-year (1968-2008) mean value of 8.7 to about three for both emissions scenarios. The 92-year mean heat stress would be 115.9 and 120.6 for B1 and A1B, respectively, representing 31.6% and 36.9% increase over the 1968-2008 long-term average of 88.1. These suggest that the already small winter heating requirement in subtropical Hong Kong would become even more insignificant in future years, whereas the increasing trend of summer discomfort would result in more cooling demand in the built environment.Comfort index Climate change Building energy Subtropical Hong Kong

Variation in the risk of colorectal cancer in families with Lynch syndrome: a retrospective cohort study

Background: Existing clinical practice guidelines for carriers of pathogenic variants of DNA mismatch repair genes (Lynch syndrome) are based on the mean age-specific cumulative risk (penetrance) of colorectal cancer for all carriers of pathogenic variants in the same gene. We aimed to estimate the variation in the penetrance of colorectal cancer between carriers of pathogenic variants in the same gene by sex and continent of residence. Methods: In this retrospective cohort study, we sourced data from the International Mismatch Repair Consortium, which comprises 273 members from 122 research centres or clinics in 32 countries from six continents who are involved in Lynch syndrome research. Families with at least three members and at least one confirmed carrier of a pathogenic or likely pathogenic variant in a DNA mismatch repair gene (MLH1, MSH2, MSH6, or PMS2) were included. The families of probands with known de-novo pathogenic variants were excluded. Data were collected on the method of ascertainment of the family, sex, carrier status, cancer diagnoses, and ages at the time of pedigree collection and at last contact or death. We used a segregation analysis conditioned on ascertainment to estimate the mean penetrance of colorectal cancer and modelled unmeasured polygenic factors to estimate the variation in penetrance. The existence of unknown familial risk factors modifying colorectal cancer risk for Lynch syndrome carriers was tested by use of a Wald p value for the null hypothesis that the polygenic SD is zero. Findings: 5585 families with Lynch syndrome from 22 countries were eligible for the analysis. Of these, there were insufficient numbers to estimate penetrance for Asia and South America, and for those with EPCAM variants. Therefore, we used data (collected between July 11, 2014, and Dec 31, 2018) from 5255 families (1829 MLH1, 2179 MSH2, 798 MSH6, and 449 PMS2), comprising 79 809 relatives, recruited in 15 countries in North America, Europe, and Australasia. There was strong evidence of the existence of unknown familial risk factors modifying colorectal cancer risk for Lynch syndrome carriers (pT variant. The variation was especially prominent for MLH1 and MSH2 variant carriers, depending on gene, sex and continent, with 7–56% of carriers having a colorectal cancer penetrance of less than 20%, 9–44% having a penetrance of more than 80%, and only 10–19% having a penetrance of 40–60%. Interpretation: Our study findings highlight the important role of risk modifiers, which could lead to personalised risk assessments for precision prevention and early detection of colorectal cancer for people with Lynch syndrome. Funding: National Health and Medical Research Council, Australia