Identification of severe fever with thrombocytopenia syndrome virus genotypes in patients and ticks in Liaoning Province, China.

BACKGROUND: Severe fever with thrombocytopenia syndrome (SFTS), caused by the SFTS virus (SFTSV), is an acute infectious disease transmitted by ticks that has recently been identified. There are no reports of epidemic serotypes in Liaoning Province, PR China. The aim of this study was, therefore, to identify genotypes of SFTSV in this province. METHODS: In 2019, quantitative PCR testing was performed on 17 patients suspected of being infected with SFTS in Liaoning Province and on 492 ticks from the counties and cities surrounding the patients' residences. Four samples were subjected to virus isolation and whole-genome amplification. RESULTS: Molecular diagnostic results confirmed SFTSV infection in five of the 17 suspected cases of SFTS and in 12 of the 492 ticks, with a prevalence of 2.4%. Four strains of SFTSV were successfully isolated from patients' blood and ticks. Phylogenetic analysis after whole-genome amplification and sequencing showed that they all belonged to genotype A of SFTSV. CONCLUSIONS: This study is the first to determine the genotype of SFTSV in patients and ticks in Liaoning Province, PR China. The results deepen our understanding of the SFTS epidemic and provide information on the variability in mortality rate among genotypes.

[Application of synchronous fluorescence in identification of spilled oil at sea].

In order to screen and identify the source of spilled oils at sea, synchronous fluorescence scans combined with clustering analysis are proposed and applied to different crude oil and weathering crude oil. SFS data of deltal = 25 nm were recorded and dealt with clustering analysis. The cluster results of SFS data in the range of 300 - 500 nm show that the crude oil and the weathering oil could separate completely. And the crude oils from different sea areas, also collected at different time, clustered into different groups, respectively. The results indicate that this method could preliminarily selected, and maybe serves as an assistant method in oil spill identification.

[Excitation-emission-matrix spectral property of dissolved organic matter in seawater of Jiaozhou Bay, China].

Excitation-emission matrix spectroscopy (EEMs) was applied to measure the fluorescence properties of dissolved organic matter (DOM) in seawater collected from Jiaozhou Bay in June, 2005. The study areas include central Bay area, receptor areas of Dagu River, Licun River and Haibo River. The aim was to investigate the influence of discharges from several typical rivers to the receiving seawater. Dagu River discharges mostly freshwater, while the other two rivers discharges include more wastewaters from factories and sewages treatments. The results indicate that there is a redshift of the position of humic-like fluorescence peaks due to the discharges from sewages and wastewaters from factories. The intensities of protein-like and humic-like peaks were the strongest in the samples from area near Haibo River and Licun River, while the weakest fluorescence intensities of both protein-like and humic-like were observed in the samples collected from central bay area. This suggests that river inputs are the mains sources of DOM in seawater of Jiaozhou Bay, while DOM produced by bioactivity in situ dominates those in central Bay area. The relationships of protein-like and humic-like fluorescence intensities vary depending on the water samples. The DOM in seawater of Jiaozhou Bay may be polluted by protein-like organic matter produced by human activity, as indicated by higher ratios of protein-like and humic-like fluorescence intensities. The results suggest the potential utility of EEMs technique for trace DOM and land-based pollution sources.