Substitutions near the hemagglutinin receptor-binding site determine the antigenic evolution of influenza A H3N2 viruses in U.S. swine

Swine influenza A virus is an endemic and economically important pathogen in pigs, with the potential to infect other host species. The hemagglutinin (HA) protein is the primary target of protective immune responses and the major component in swine influenza A vaccines. However, as a result of antigenic drift, vaccine strains must be regularly updated to reflect currently circulating strains. Characterizing the cross-reactivity between strains in pigs and seasonal influenza virus strains in humans is also important in assessing the relative risk of interspecies transmission of viruses from one host population to the other. Hemagglutination inhibition (HI) assay data for swine and human H3N2 viruses were used with antigenic cartography to quantify the antigenic differences among H3N2 viruses isolated from pigs in the United States from 1998 to 2013 and the relative cross-reactivity between these viruses and current human seasonal influenza A virus strains. Two primary antigenic clusters were found circulating in the pig population, but with enough diversity within and between the clusters to suggest updates in vaccine strains are needed. We identified single amino acid substitutions that are likely responsible for antigenic differences between the two primary antigenic clusters and between each antigenic cluster and outliers. The antigenic distance between current seasonal influenza virus H3 strains in humans and those endemic in swine suggests that population immunity may not prevent the introduction of human viruses into pigs, and possibly vice versa, reinforcing the need to monitor and prepare for potential incursions

Estimativa de parâmetros genéticos, correlações fenotípicas e ambientais no girassol do cerrado do Distrito Federal.

O propósito deste trabalho foi avaliar a estimativa de parâmetros genéticos, correlações fenotipicas e ambientais no girassol do Cerrado do Distrito Federal. Os caracteres analisados foram: rendimento de grãos, tamanho do capítulo, peso de mil aquênios, altura de plantas e dias para floração inicial. Foram constatadas diferenças altamente significativas entre os genótipos para todas as características morfoagronômicas avaliadas. Para o coeficiente CVr a maioria dos valores foram superior a 1 nos dois anos considerados, indicando que para a maioria dos caracteres aferidos há a possibilidade de êxito na seleção fenotípica uma vez que a variância genética superou a ambiental. Na herdabilidade, a maior estimativa verificada foi para o caráter PMA (98,76%) em 2013 e para DFI (99,68%) em 2014. Foram constatadas diferenças altamente significativas entre os genótipos para todas as características morfoagronômicas avaliadas. O alto coeficiente de variação genético destaca a possibilidade de obter ganhos genéticos para todas as características analisadas salvo em tamanho de capitulo. Materiais genéticos com potencial para as características agronômicas pesquisadas foram identificados no trabalho, podem ser indicadas ao sistema de produção irrigado no Cerrado. Abstract: The purpose of this study was to estimate genetic parameters, phenotypic and environmental correlations in sunflower of Brazilian savannah. The characters analyzed were: grain yield, chapter length, weight of a thousand achenes, plant height and days to start flowering. Highly significant differences were observed among genotypes for all morphoagronomic characteristics evaluated. For the most CVr coefficient values were higher than 1 in the two years under consideration, indicating that for the majority of measured characters there is the possibility of successful phenotypic selection once the genetic variance exceeded the environmental. The heritability estimate was the highest for the PMA character (98,76%) in 2013 and DFI (99,68%) in 2014. Highly significant differences were observed among genotypes for all morphoagronomic characteristics evaluated. The high coefficient of genetic variation show the possibility of obtaining genetic gain for all examined characteristics except in chapter length. Genetic material with potential for the researched agronomic characteristics were identified in the work, can be indicated to the irrigated production system in the Brazilian savannah

Comportamento temporal de genótipos de girassol no cerrado do Distrito Federal em safrinha de 2014 e 2015.

Com o objetivo de avaliar o comportamento agronômico de genótipos de girassol no Cerrado do Distrito Federal, foram conduzidos ensaios na safrinha dos anos de 2014 e 2015, na estação experimental da Embrapa Cerrados, Planaltina, DF. O delineamento experimental foi de blocos ao acaso com quatro repetições, e foram avaliados 12 genótipos de girassol: HLA 2015, NTC 90, SYN 065, M734, BRS G44, HLA 2014, BRS G45, BRS G43, HLA 2013, HLA 2017, BRS G46, HLA 2016. As características avaliadas foram rendimento de grãos, tamanho do capitulo, peso de mil aquênios, altura de plantas e dias de floração inicial. Diferenças significativas foram encontradas para as características avaliadas. Os genótipos que se destacaram em relação ao rendimento de grãos foram HLA 2014 (3.161 kg ha-1) e a testemunha M743 (3.212 kg ha-1). Além disso, o ensaio do ano 2014 apresentou uma média de rendimento maior (2.829 kg ha-1) e mais precoces (63,10 dias) em relação a 2015. O trabalho permitiu a identificação de materiais promissores para exploração em programas de melhoramento genético. Abstract: Aiming the evaluation on agronomic behavior of sunflower genotypes in the Brazilian savannah, experiments were carried on in the second crop of 2014 and 2015 at Centro de Pesquisa Agropecuária dos Cerrados (Embrapa), Planaltina, DF. A complete randomized block design was used with four replications and 12 genotypes of sunflower were analyzed: HLA 2015, NTC 90, SYN 065, M734, BRS G44, HLA 2014, BRS G45, BRS G43, HLA 2013, HLA 2017, BRS G46, HLA 2016.The evaluated characteristics were grain yield, head, weight thousand achenes, plant height, and flowering time. Significant differences were found in all evaluated characteristics. The genotypes that stood out in seed yield were HLA 2014 (3161 kg ha-1) and M743 (3212 kg ha-1). Besides, the 2014 experiment presented a seed yield average higher (2829 kg ha-1), and earlier flowering (63,10 days) when compared to 2015 experiment. This study allowed the identification of promising materials to explore in breeding programs

Qualidade de sementes de girassol na safrinha do Distrito Federal.

O presente trabalho teve como objetivo avaliar, através de diferentes testes, a qualidade fisiológica de sementes de girassol na safrinha do Distrito Federal. Os testes foram realizados no Laboratório de Sementes da Faculdade de Agronomia e Veterinária ? FAV, da Universidade de Brasília - UnB, Campus Universitário Darcy Ribeiro, Brasília, DF, em 2014. Foram realizados testes de germinação padrão em areia e em papel, peso da matéria verde e da matéria seca, envelhecimento acelerado, condutividade elétrica e lixiviados de potássio. Foram encontradas diferenças significativas entre os genótipos para as todas as características avaliadas. Dentre os genótipos avaliados, os híbridos que se destacaram quanto a qualidades fisiológicas desejáveis pelos testes de germinação, condutividade elétrica e lixiviação de potássio foram BRS G42 e SYN 045. Materiais genéticos foram identificados no trabalho para possível exploração em programas de melhoramento. Abstract: This study aims to evaluate, through different tests, the seed physiological quality of sunflower in the second crop in the Brazilian savannah. The tests were carried on in the Seed Laboratory of Veterinary and Agriculture Faculty of University of Brasilia, in 2014. The tests were seedling emergence in sand and paper, green and dry matter weight, accelerated aging, electrical conductivity and potassium leached. Related to the evaluated characteristics, significant differences were found between genotypes. Among them, the hybrids that stood out for the physiologic characteristics through the germination test, electric conductivity and potassium leaching were BRS G42 and SYN 045. Genetic materials were identified in this study for a possible exploration in breeding programs

Determination of Conformational Equilibria in Proteins Using Residual Dipolar Couplings

In order to carry out their functions, proteins often undergo significant conformational fluctuations that enable them to interact with their partners. The accurate characterization of these motions is key in order to understand the mechanisms by which macromolecular recognition events take place. Nuclear magnetic resonance spectroscopy offers a variety of powerful methods to achieve this result. We discuss a method of using residual dipolar couplings as replica-averaged restraints in molecular dynamics simulations to determine large amplitude motions of proteins, including those involved in the conformational equilibria that are established through interconversions between different states. By applying this method to ribonuclease A, we show that it enables one to characterize the ample fluctuations in interdomain orientations expected to play an important functional role

Trends in template/fragment-free protein structure prediction

Predicting the structure of a protein from its amino acid sequence is a long-standing unsolved problem in computational biology. Its solution would be of both fundamental and practical importance as the gap between the number of known sequences and the number of experimentally solved structures widens rapidly. Currently, the most successful approaches are based on fragment/template reassembly. Lacking progress in template-free structure prediction calls for novel ideas and approaches. This article reviews trends in the development of physical and specific knowledge-based energy functions as well as sampling techniques for fragment-free structure prediction. Recent physical- and knowledge-based studies demonstrated that it is possible to sample and predict highly accurate protein structures without borrowing native fragments from known protein structures. These emerging approaches with fully flexible sampling have the potential to move the field forward