Fatty Aacid Typing Analysis of Food-borne Listeria monocytogenes in Hebei Area
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Abstract:
In this study, the usefulness of fatty acid typing to identify and evaluate strain similarity among Listeria monocytogenes (LM) strains was evaluated. Ninety LM strains isolated from six types of food in Hebei area from 2005 to 2007 were selected for this study. The fatty acids were extracted, and their components were analyzed using the MIDI Sherlock system. SPSS 19. 0 statistical software was used for data and cluster analyses. The fatty acid typing was compared with traditional serotyping and pulsed-field gel electrophoresis (PFGE), which is the gold standard for typing. The results showed that the fatty acid analysis method successfully identified 96.67% of LM strains, 20 fatty acid components were detected from all of the tested strains, and the three main fatty acid components were 15:0 anteiso, 17:0 anteiso, and 15:0 iso. The fatty acid components differed among the different serotypes, and the differences in two main fatty acid components between serotype 1/2c isolates and serotype 1/2a, 1/2b, and 4b isolates were statistically significant (P < 0. 01). Compared with PFGE typing, fatty acid typing was a more efficient method for identifying genetic relationships between strains in small samples with simple structures. The combination of fatty acid typing along with serotyping and PFGE typing could better identify correlations among LM strains.
