No abstract

Streptococcus suis is an important swine pathogen that can cause a variety of diseases. Streptococcus suis serotype 9 (SS9) is a prevalent serotype, but limited information is available. Here, we studied and compared 30 SS9 isolates, including 24 isolates from China between year 2004 and 2013, 5 isolates from Vietnam and a serotype reference isolate from Denmark. A multilocus sequence typing (MLST) analysis was performed to exploit the genetic relationships between those isolates. The phylogenetic tree based on the MLST data divides those isolates into two clades (I and II), revealing different evolutionary paths of collected strains. A virulence genotyping analysis was performed by detecting 23 virulence-related genes; the clustering result also revealed two clusters (I and II), highly in accordance with MLST analysis result, showing that phylogenetic relatedness led to the presence of similar virulence genotypes. Murine model infection experiment was performed to assess the virulence of those strains in cluster I and cluster II, which displayed high virulence diversity even within a same cluster/ST. Notably, ST 243 could be regarded as an ST with high virulence potential in SS9. In conclusion, this study has revealed high genetic and virulence diversity in SS9 isolates.

No abstract

Abstract. A positioning system for ultra-wideband (UWB) electric micro-tillers suitable for complex greenhouse environments was designed as the basis for realizing unmanned micro-tillers to address the problem of the frequent safety accidents of existing micro-tillers. First, the positioning base station and tag were designed on the basis of the STM32 and DW1000 chip hardware. The real-time coordinate display of the micro-tiller in the greenhouse could also be realized with the design of the upper computer software. Then, the realization method of the positioning function, including the analysis of time difference of arrival (TDOA) and two-way ranging (TWR) positioning methods, and the selection of the best Taylor positioning algorithm through a MATLAB simulation were studied to reduce the influence of noise and measurement errors on measurement accuracy. Finally, a positioning system accuracy test was conducted. Test results revealed that the maximum positioning error of the micro-tiller positioning system is no more than 6 cm, and the average error is 4.4 cm. The optimized positioning error is reduced by 10.2 %, considering that the influence of the base station location on the accuracy. The positioning system of the greenhouse electric micro-tiller designed in this paper demonstrates a stable performance and positioning accuracy to meet the needs of greenhouse rotary tillage operations. This system has certain theoretical importance and reference value for the development of precise positioning technology for working tools in the greenhouse and the further realization of unmanned rotary tillage operations.