Rapid identification and source-tracking of Listeria monocytogenes using MALDI-TOF mass spectrometry

Jadhav, Snehal; Gulati, Vandana; Fox, Edward M.; Karpe, Avinash V.; Beale, David J.; Sevior, Danielle; Bhave, Mrinal; Palombo, Enzo A.

doi:10.1016/j.ijfoodmicro.2015.01.023

Cited by 72 publications

(60 citation statements)

References 39 publications

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“…Recently, MALDI-TOF MS has been introduced for the identification of microorganisms, and it has been suggested as a key tool in food safety and control (Jadhav et al, 2015; Nomura, 2015). However, studies showing the performance and reproducibility of this method to identify LAB species from food sources are still scarce.…”

Section: Discussionmentioning

confidence: 99%

Identification of Lactic Acid Bacteria in Fruit Pulp Processing Byproducts and Potential Probiotic Properties of Selected Lactobacillus Strains

et al. 2016

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This study aimed to identify lactic acid bacteria (LAB) in byproducts of fruit (Malpighia glabra L., Mangifera indica L., Annona muricata L., and Fragaria vesca L.) pulp processing. Fifty strains of LAB were identified using matrix-assisted laser desorption/ionization–time of flight mass spectrometry (MALDI-TOF MS) and 16S rRNA gene sequence (16S rRNA) analysis. Species belonging to Lactobacillus genus were the predominant LAB in all fruit pulp processing byproducts. The average congruency between the MALDI-TOF MS and 16S rRNA in LAB species identification reached 86%. Isolates of L. plantarum, L. brevis, L. pentosus, L. lactis and L. mesenteroides were identified with 100% congruency. MALDI-TOF MS and 16S rRNA analysis presented 86 and 100% efficiency of LAB species identification, respectively. Further, five selected Lactobacillus strains (L. brevis 59, L. pentosus 129, L. paracasei 108, L. plantarum 49, and L. fermentum 111) were evaluated for desirable probiotic-related properties and growth behavior on two different cultivation media. The exposure to pH 2.0 sharply decreased the counts of the different Lactobacillus strains after a 1 or 2 h incubation, while varied decreases were noted after 3 h of exposure to pH 3.0. Overall, the exposure to pH 5.0 and to bile salts (0.15, 0.30, and 1.00%) did not decrease the counts of the Lactobacillus strains. All tested Lactobacillus strains presented inhibitory activity against Staphylococcus aureus, Salmonella Typhimurium, Salmonella Enteritidis, Listeria monocytogenes and Escherichia coli, and presented variable susceptibility to different antibiotics. The selected Lactobacillus strains presented satisfactory and reproducible growth behavior. In conclusion, MALDI-TOF MS and 16S rRNA analysis revealed high efficiency and congruency for LAB species identification, and the selected Lactobacillus strains may be candidates for further investigation of novel probiotic strains.

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Section: Discussionmentioning

confidence: 99%

Identification of Lactic Acid Bacteria in Fruit Pulp Processing Byproducts and Potential Probiotic Properties of Selected Lactobacillus Strains

et al. 2016

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“…Accurate identification and classification of the pathogen is vital in understanding its epidemiology in sporadic and outbreak cases (Jadhav et al 2015). Several clinically significant properties, such as virulence, biofilm formation, and disinfectant and antibiotic resistance, may be highly variable from strain to strain Pan et al 2006;Morvan et al 2010;Ratani et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Phylogenomic grouping of Listeria monocytogenes

et al. 2015

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The precise delineation of lineages and clonal groups are a prerequisite to examine within-species genetic variations, particularly with respect to pathogenic potential. A whole-genome-based approach was used to subtype and subgroup isolates of Listeria monocytogenes. Core-genome typing was performed, employing 3 different approaches: total core genes (CG), high-scoring segment pairs (HSPs), and average nucleotide identity (ANI). Examination of 113 L. monocytogenes genomes available in-house and in public domains revealed 33 phylogenomic groups (PGs). Each PG could be differentiated into a number of genomic types (GTs), depending on the approach used: HSPs (n = 57 GTs), CG (n = 71 GTs), and ANI (n = 83 GTs). Demarcation of the PGs was concordant with the 4 known lineages and led to the identification of sublineages in the lineage groups I, II, and III. In addition, PG assignments had discriminatory power similar to multi-virulence-locus sequence typing types and clonal complexes of multilocus sequence typing. Clustering of genomically highly similar isolates from different countries, sources, and isolation dates using whole-genome-based PG suggested that dispersion of phylogenomic clones of L. monocytogenes preceded their subsequent evolution. Classification according to PG may act as a guideline for future epidemiological studies.

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“…Metabolomics has been used as a tool for the detection of chemical contaminants and foodborne pathogens in foods [55 , [56][57][58][59]. The rapid and reliable analysis of chemical contaminants in foods is critical in order to reduce the 18 Food biotechnology short-term and long-term health risks posed by chemical residues (such as pesticides) used in food resource production.…”

Section: Food Safetymentioning

confidence: 99%

“…Metabolomics has been applied to rapidly detect and identify foodborne pathogens such as Escherichia coli O157:H7, Salmonella Typhimurium, Salmonella Muenchen, Salmonella Hartford and Listeria in foods [58][59][60]. Biofilm formation in food processing has become a major problem because of its association with many foodborne outbreaks.…”

Section: Food Safetymentioning

confidence: 99%