Search

Reassortant Eurasian avian-like (EA) H1N1 virus, possessing 2009 pandemic (pdm/09) and triple-reassortant (TR)-derived internal genes, namely G4 genotype, has replaced the G1 genotype EA H1N1 virus (all the genes were of EA origin) and become predominant in swine populations in China. Understanding the pathogenicity of G4 viruses in pigs is of great importance for disease control. Here, we conducted comprehensive analyses of replication and pathogenicity of G4 and G1 EA H1N1 viruses in pigs. G4 virus exhibited enhanced replication, increased duration of virus shedding, and caused more severe respiratory lesions in pigs compared with G1 virus. G4 virus, with viral ribonucleoprotein (vRNP) complex genes of pdm/09 origin, exhibited higher levels of nuclear accumulation and higher polymerase activity, which is essential for improved replication of G4 virus. These findings indicate that G4 virus poses a great threat to both swine industry and public health, and control measures should be urgently implemented. • G4 reassortant Eurasian avian-like (EA) H1N1 virus exhibited enhanced replication in pigs. • G4 reassortant EA H1N1 virus caused more severe respiratory lesions in pigs. • vRNPs of G4 reassortant EA H1N1 virus exhibited higher levels of polymerase activity. • G4 reassortant EA H1N1 virus showed higher levels of nuclear accumulation. [ABSTRACT FROM AUTHOR]

Graphical abstract Abstract Extreme wettability surfaces have attracted more and more attention due to their practical applications, however, few reports have shown a universal method to create surface patterns with extreme wettability on a variety of metals. In this paper, a mask-assisted dual-chemical-processing approach without special modification is used to prepare the extreme wettability patterns on various metal substrates. Fabrication of superhydrophilic-superhydrophobic patterns on five kinds of metal substrates of Al, Ti, steel, Zn and Mg alloy proved the versatility of this method. The extreme wettability patterns prepared by this method were applied to fog harvest and we found the big differences in the collection efficiency of various metal surface patterns. [ABSTRACT FROM AUTHOR]