Memoriais de Atividades Acadêmicas - 2019-1

Memoriais de Atividades Acadêmicas - 2019-1.Memoriais de Atividades Acadêmicas - 2019-1

National Report on Polar Program of China (2009)

The year of 2009 is the 25th anniversary of China` s Antarctic expedition, 20th anniversary of the establishment of the Zhongshan Stati on, 10th anniversary of China`s Arctic expedition, 5th anniversary of the establishment of the Yellow River Station, 20th anniversary of the founding of the China’s Polar Research Center, and it is also the 50th anniversary for the Antarctic Treaty to be openned for signature. With so much historic significance, this year has put a great deal of expectation to the progress and success for Chinese polar scientific exploration and research, and the Chinese polar scientists have bravely undertaken such historic responsibilities and carried out a series of Antarctic programs and achieved remarkable progress and success in the year of the 60th anniversary of the founding of the People`s Republic of China

Edital de resultado final de distribuição de bolsas de monitoria 2020

Edital de resultado final de distribuição de bolsas de monitoria 2020Edital de resultado final de distribuição de bolsas de monitoria 202

Quantifying mechanistic traits of influenza viral dynamics using in vitro data.

When analysing in vitro data, growth kinetics of influenza virus strains are often compared by computing their growth rates, which are sometimes used as proxies for fitness. However, analogous to mathematical models for epidemics, the growth rate can be defined as a function of mechanistic traits: the basic reproduction number (the average number of cells each infected cell infects) and the mean generation time (the average length of a replication cycle). Fitting a model to previously published and newly generated data from experiments in human lung cells, we compared estimates of growth rate, reproduction number and generation time for six influenza A strains. Of four strains in previously published data, A/Canada/RV733/2003 (seasonal H1N1) had the lowest basic reproduction number, followed by A/Mexico/INDRE4487/2009 (pandemic H1N1), then A/Indonesia/05/2005 (spill-over H5N1) and A/Anhui/1/2013 (spill-over H7N9). This ordering of strains was preserved for both generation time and growth rate, suggesting a positive biological correlation between these quantities which have not been previously observed. We further investigated these potential correlations using data from reassortant viruses with different internal proteins (from A/England/195/2009 (pandemic H1N1) and A/Turkey/05/2005 (H5N1)), and the same surface proteins (from A/Puerto Rico/8/34 (lab-adapted H1N1)). Similar correlations between traits were observed for these viruses, confirming our initial findings and suggesting that these patterns were related to the degree of human adaptation of internal genes. Also, the model predicted that strains with a smaller basic reproduction number, shorter generation time and slower growth rate underwent more replication cycles by the time of peak viral load, potentially accumulating mutations more quickly. These results illustrate the utility of mathematical models in inferring traits driving observed differences in in vitro growth of influenza strains