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Comparison of the Effects of Environmental Parameters on the Growth Variability of Vibrio parahaemolyticus Coupled with Strain Sources and Genotypes Analyses
Author(s) -
Bingxuan Liu,
Haiquan Liu,
Yingjie Pan,
Jing Xie,
Yong Zhao
Publication year - 2016
Publication title -
frontiers in microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.701
H-Index - 135
ISSN - 1664-302X
DOI - 10.3389/fmicb.2016.00994
Subject(s) - salinity , vibrio parahaemolyticus , strain (injury) , biology , genotype , seawater , temperature salinity diagrams , growth rate , halophile , bacterial growth , vibrionaceae , microbiology and biotechnology , food science , ecology , bacteria , gene , biochemistry , genetics , mathematics , geometry , anatomy
Microbial growth variability plays an important role on food safety risk assessment. In this study, the growth kinetic characteristics corresponding to maximum specific growth rate (μ max ) of 50 V. parahaemolyticus isolates from different sources and genotypes were evaluated at different temperatures (10, 20, 30, and 37°C) and salinity (0.5, 3, 5, 7, and 9%) using the automated turbidimetric system Bioscreen C. The results demonstrated that strain growth variability increased as the growth conditions became more stressful both in terms of temperature and salinity. The coefficient of variation (CV) of μ max for temperature was larger than that for salinity, indicating that the impact of temperature on strain growth variability was greater than that of salinity. The strains isolated from freshwater aquatic products had more conspicuous growth variations than those from seawater. Moreover, the strains with tlh + /tdh + /trh − exhibited higher growth variability than tlh + /tdh − /trh − or tlh + /tdh − /trh + , revealing that gene heterogeneity might have possible relations with the growth variability. This research illustrates that the growth environments, strain sources as well as genotypes have impacts on strain growth variability of V. parahaemolyticus , which can be helpful for incorporating strain variability in predictive microbiology and microbial risk assessment.

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