Whole-genome sequencing reveals host factors underlying critical COVID-19

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2,3,4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease

Agronomic and economic response to furrow diking tillage in irrigated and non-irrigated cotton (Gossypium hirsutum L.)

The Southeast U.S. receives an average of 1300mm annual rainfall, however poor seasonal distribution of rainfall often limits production. Irrigation is used during the growing season to supplement rainfall to sustain profitable crop production. Increased water capture would improve water use efficiency and reduce irrigation requirements. Furrow diking has been proposed as a cost effective management practice that is designed to create a series of storage basins in the furrow between crop rows to catch and retain rainfall and irrigation water. Furrow diking has received much attention in arid and semi-arid regions with mixed results, yet has not been adapted for cotton production in the Southeast U.S. Our objectives were to evaluate the agronomic response and economic feasibility of producing cotton with and without furrow diking in conventional tillage over a range of irrigation rates including no irrigation. Studies were conducted at two research sites each year from 2005 to 2007. Irrigation scheduling was based on Irrigator Pro for Cotton software. The use of furrow diking in these studies periodically reduced water consumption and improved yield and net returns. In 2006 and 2007, when irrigation scheduling was based on soil water status, an average of 76mmha-1 of irrigation water was saved by furrow diking, producing similar cotton yield and net returns. Furrow diking improved cotton yield an average of 171kgha-1 and net return by $245ha-1 over multiple irrigation rates, in 1 of 3 years. We conclude that furrow diking has the capability to reduce irrigation requirements and the costs associated with irrigation when rainfall is periodic and drought is not severe.Irrigation scheduling Water capture Water consumption Best management practices Conservation tillage

Efeito da aplicação sucessiva de precipitações pluviais com diferentes perfis na taxa de infiltração de água no solo

O processo de infiltração é influenciado pelas condições da superfície do solo e pela precipitação pluvial. O objetivo deste trabalho foi avaliar a influência de aplicações sucessivas de precipitações pluviais com diferentes perfis na formação do encrostamento superficial e, consequentemente, na taxa de infiltração de água em solo sem cobertura e com cobertura. Foram aplicadas três precipitações pluviais sucessivas para cada perfil de precipitação pluvial, em intervalos de 24 h, sendo usados os perfis de precipitação pluvial constante, exponencial decrescente, duplo exponencial adiantado e atrasado, com uma lâmina média de 55 mm por aplicação. Buscou-se ajustar um fator de decaimento da taxa de infiltração (Ti) em função da energia cinética acumulada da chuva, denominado de fator f, dado pela razão entre a taxa de infiltração estável (Tie) com efeito da chuva e a Tie sem o efeito da chuva. Foram avaliadas duas condições de cobertura do solo, solo sem cobertura e solo coberto com palhada, sendo os ensaios de infiltração realizados com um simulador de chuvas, em parcelas experimentais de dimensões de 1,0 x 0,7 m. Os resultados foram avaliados por meio de análises gráficas, análise de variância e teste de média. Verificou-se que os diferentes perfis de precipitação pluvial não influenciaram a infiltração de água no solo, tanto para o solo sem cobertura como para o solo com cobertura, sendo esta influenciada somente pelas aplicações sucessivas, com menores valores da taxa de infiltração obtidos na segunda e terceira aplicações. O decréscimo na Ti em solo sem cobertura foi devido à formação de encrostamento superficial, o que ocorreu logo na primeira aplicação. A Tie em solo sem cobertura teve decréscimo de 75 % se comparada à Tie em solo com cobertura. A lâmina infiltrada não foi influenciado pelos quatro perfis de precipitação pluvial. O fator f foi descrito com uso de uma equação do tipo exponencial