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Comparison of Fatty Acid Analysis with Serotype and Pulsed‐Field Gel Electrophoresis for Typing S almonella Isolated from Retail Foods and Human
Author(s) -
Zhang Pengfei,
Xing Xiaonan,
Wang Xin,
Yang Baowei,
Fu Chengyu,
Liu Dehao,
Guo Chunfeng
Publication year - 2014
Publication title -
journal of food safety
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.427
H-Index - 43
eISSN - 1745-4565
pISSN - 0149-6085
DOI - 10.1111/jfs.12150
Subject(s) - pulsed field gel electrophoresis , fatty acid , serotype , chemistry , gel electrophoresis , biology , chromatography , biochemistry , microbiology and biotechnology , gene , genotype
Whole‐cell fatty acid analysis by pyrolysis‐gas chromatography/mass spectrometry was compared with pulsed‐field gel electrophoresis ( PFGE ) and serotyping to determine the best suited method for identification of S almonella strains. Forty‐two isolates were analyzed and 10 fatty acids were identified in all of the tested strains. The main fatty acid component was n‐hexadecanoic acid ( C 16:0), followed by cis‐9‐hexadecenoic acid ( C 16:1ω‐7c), cis‐10‐heptadecenoic acid ( C 17:1ω‐7c), tetradecanoic acid ( C 14:0), cis‐10‐nonadecenoic acid ( C 19:1ω‐9c), trans‐2‐dodecenoic acid ( C 12:1ω‐10t), cis‐vaccenic acid ( C 18:1ω‐8c), dodecanoic acid ( C 12:0), octadecanoic acid ( C 18:0) and 2‐tridecanoic acid ( E )‐( C 13:0). Whole‐cell fatty acid analysis, PFGE and serotyping yielded 38, 35 and 29 types, respectively. S impson's diversity indices of the three typing methods were 0.994, 0.985 and 0.943, respectively. PFGE grouped all the strains into 27 clusters based on 80% similarity. Fatty acid analysis was grouped into four clusters based on r = 0.8. Our findings indicate that whole‐cell fatty acid analysis was found to help with rapid identification of S almonella strains. Whole‐cell fatty acid analysis was not only as portable as PFGE and serotyping but also more rapid and cost‐effective. Practical Applications Foodborne diseases caused by S almonella enterica represent an important public health problem worldwide. Therefore, tracing sporadic cases and outbreaks of S almonella infection is important for epidemiological purposes. In this context, fatty acid analysis is a rapid and cost‐effective method for identification and classification of S almonella strains, and it can help expedite the process of foodborne outbreak investigation.