Prevalence and Population Analysis of Vibrio parahaemolyticus Isolated from Freshwater Fish in Zhejiang Province, China

2021 ◽  
Vol 18 (2) ◽  
pp. 139-146
Author(s):  
Honghu Chen ◽  
Shilei Dong ◽  
Yu Yan ◽  
Li Zhan ◽  
Junyan Zhang ◽  
...  
2017 ◽  
Vol 81 (2) ◽  
pp. 246-253 ◽  
Author(s):  
Rundong Wang ◽  
Lijun Sun ◽  
Yaling Wang ◽  
Yijia Deng ◽  
Zhijia Fang ◽  
...  

ABSTRACTThe growth and hemolytic activity profiles of two Vibrio parahaemolyticus strains (ATCC 17802 and ATCC 33847) in shrimp, oyster, freshwater fish, pork, chicken, and egg fried rice were investigated, and a prediction system for accurate microbial risk assessment was developed. The two V. parahaemolyticus strains displayed a similar growth and hemolysin production pattern in the foods at 37°C. Growth kinetic parameters showed that V. parahaemolyticus displayed higher maximum specific growth rate and shorter lag time values in shrimp > freshwater fish > egg fried rice> oyster > chicken > pork. Notably, there was a similar number of V. parahaemolyticus in all of these samples at the stationary phase. The hemolytic activity of V. parahaemolyticus in foods increased linearly with time (R2 > 0.97). The rate constant (K) of hemolytic activity was higher in shrimp, oyster, freshwater fish, and egg fried rice than in pork and chicken. Significantly higher hemolytic activity of V. parahaemolyticus was evident in egg fried rice > shrimp > freshwater fish > chicken > oyster > pork. The above-mentioned results indicate that V. parahaemolyticus could grow well regardless of the food type and that contrary to current belief, it displayed a higher hemolytic activity in some nonseafood products (freshwater fish, egg fried rice, and chicken) than in one seafood (oyster). The prediction system consisting of the growth model and hemolysin production algorithm reported here will fill a gap in predictive microbiology and improve significantly the accuracy of microbial risk assessment of V. parahaemolyticus.


Food Control ◽  
2017 ◽  
Vol 77 ◽  
pp. 110-115 ◽  
Author(s):  
Jiang Chen ◽  
Ronghua Zhang ◽  
Xiaojuan Qi ◽  
Biao Zhou ◽  
Jikai Wang ◽  
...  

2014 ◽  
Vol 14 (1) ◽  
pp. 59 ◽  
Author(s):  
Sara Urmersbach ◽  
Thomas Alter ◽  
Madura Sanjeevani Koralage ◽  
Lisa Sperling ◽  
Gunnar Gerdts ◽  
...  

2020 ◽  
Vol 40 (5) ◽  
Author(s):  
Yuanqing Hu ◽  
Fengxia Li ◽  
Ying Zheng ◽  
Zhichao Zeng ◽  
Guoguang Zhang ◽  
...  

PLoS ONE ◽  
2018 ◽  
Vol 13 (10) ◽  
pp. e0204892 ◽  
Author(s):  
Xiao Chen ◽  
Qiaoyun Zhu ◽  
Fei Yu ◽  
Wen Zhang ◽  
Ruonan Wang ◽  
...  

2016 ◽  
Vol 79 (2) ◽  
pp. 288-293 ◽  
Author(s):  
RUNDONG WANG ◽  
LIJUN SUN ◽  
YALING WANG ◽  
YIJIA DENG ◽  
YING LIU ◽  
...  

ABSTRACT The pathogenicity and virulence factors of Vibrio parahaemolyticus in four food matrices—shrimp, freshwater fish, pork, and egg-fried rice—were compared by measuring the thermostable direct hemolysin activity and total hemolytic titer. Significantly high thermostable direct hemolysin and also hemolytic titers (P < 0.05) were produced by V. parahaemolyticus in egg-fried rice > shrimp > freshwater fish > pork. Filtrates of V. parahaemolyticus in shrimp given intraperitoneally induced marked liver and kidney damage and were highly lethal to adult mice compared with filtrates of V. parahaemolyticus in freshwater fish > egg-fried rice > pork. From in vitro and in vivo pathogenicity tests, it seems the type of food matrix has a significant impact on the virulence of V. parahaemolyticus. These results suggest that hemolysin may not necessarily be the only virulence factor for pathogenicity of V. parahaemolyticus. This is the first report that shows that virulence factors produced by V. parahaemolyticus in seafood such as shrimp are more toxic in vivo than in nonseafood.


Author(s):  
Hakan Ancin

This paper presents methods for performing detailed quantitative automated three dimensional (3-D) analysis of cell populations in thick tissue sections while preserving the relative 3-D locations of cells. Specifically, the method disambiguates overlapping clusters of cells, and accurately measures the volume, 3-D location, and shape parameters for each cell. Finally, the entire population of cells is analyzed to detect patterns and groupings with respect to various combinations of cell properties. All of the above is accomplished with zero subjective bias.In this method, a laser-scanning confocal light microscope (LSCM) is used to collect optical sections through the entire thickness (100 - 500μm) of fluorescently-labelled tissue slices. The acquired stack of optical slices is first subjected to axial deblurring using the expectation maximization (EM) algorithm. The resulting isotropic 3-D image is segmented using a spatially-adaptive Poisson based image segmentation algorithm with region-dependent smoothing parameters. Extracting the voxels that were labelled as "foreground" into an active voxel data structure results in a large data reduction.


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