Comparative study of Cronobacter identification according to phenotyping methods

• Published in: BMC microbiology Vol. 16; no. 1; p. 146
• Main Authors: Jackson, Emily E, Forsythe, Stephen J
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 11.07.2016; BioMed Central
• Subjects: Baby foods; Bacterial Outer Membrane Proteins - genetics; Bacterial Typing Techniques - instrumentation; Bacterial Typing Techniques - methods; Classification; Computer Simulation; Cronobacter - classification; Cronobacter - isolation & purification; Cronobacter - physiology; Databases, Nucleic Acid; Deoxyribonucleic acid; DNA; DNA sequencing; DNA, Bacterial - genetics; Food Contamination - analysis; Food Microbiology; Genomes; Genotype; Identification; Infant Formula - microbiology; Infections; Manufacturers; Methods; Nucleotide sequencing; Phenotype; Polymerase Chain Reaction - methods; Productivity; RNA, Ribosomal, 16S - genetics; Sequence Analysis, DNA; Taxonomy; Testing laboratories; Biochemical identification; Cronobacter; Phenotyping
• ISSN: 1471-2180; 1471-2180
• DOI: 10.1186/s12866-016-0768-6

Microbiological criteria applied to powdered infant formula (PIF) require the absence of all Cronobacter spp. Consequently, misidentification of isolates from finished products can lead to significant financial losses for manufacturers and could increase the risk of neonatal infection. Biochemical identification of suspect isolates using commercially available test panels is recommended for use by PIF manufacturers by both the US FDA and ISO standard methods for Cronobacter species; however, phenotyping can be unreliable, particularly for a genus such as Cronobacter where the taxonomy has been subject to frequent changes. This study compared the predicted identification by commonly used phenotyping kits (API20E and ID32E) for over 240 strains of Cronobacter from diverse sources, which had been identified using DNA sequence analysis. In 2015, the databases associated with the API20E and ID32E biochemical test panels were updated, including the recognition of the Cronobacter genus. Thus, the identifications from multiple versions the databases were compared to each other and to identifications based on DNA sequencing methods. Using previous versions of the API20E database, 90.0 % of strains (216/240) resulted in a match for the species identification; however, version 5.0 produced matches for only 82.3 % of strains (237/288). Similarly, the update to version 4.0 in the ID32E database caused the percentage of matches to drop from 88.9 % (240/270) to 43.2 % (139/322). A smaller study showed that the Vitek GN system identified all 14 strains, belonging all seven Cronobacter species, as members of the 'C. sakazakii group,' but also attributed three strains of Franconibacter helveticus and F. pulveris to this group. In silco analysis of a PCR-based method targeting ompA predicted that amplification would only occur with Cronobacter species and this method may be a feasible alternative to biochemical phenotyping. These results indicate that commercially available biochemical test panels are not sufficiently reliable for speciation of Cronobacter isolates. Although DNA-sequence based methods would be the more reliable approach; however, this is not currently feasible for many food microbiology laboratories. Instead, a previously published PCR-based method targeting ompA is suggested as an alternative for identification of Cronobacter species based on in silico analysis.