Detection of Listeria spp. and L. monocytogenes in pooled test portion samples of processed dairy products

Jagadeesan, Balamurugan; Schmid, Viktoria Bastic; Kupski, Brian; McMahon, Wendy; Klijn, Adrianne

doi:10.1016/j.ijfoodmicro.2018.08.017

Cited by 14 publications

(4 citation statements)

References 11 publications

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“…Phylogenetic analysis using WGS provides a greater resolution that helps to determine relatedness among isolates. This type of analysis allows automated and more robust epidemiological surveillance (Inns et al, 2017;Holmes et al, 2018;Jagadeesan et al, 2019). In this study, phylogenetic analysis of the 62 Chilean isolates using cgMLST defined a core genome of 1,974 genes.…”

Section: Discussionmentioning

confidence: 99%

“…This technique provides high discriminating power among isolates (Nadon et al, 2017;Rantsiou et al, 2018;Simon et al, 2018;Jenkins et al, 2019). A year after the implementation of WGS for food safety purposes in the United States, outbreaks were reported faster, and more cases were linked to an outbreak than before (Jagadeesan et al, 2019). WGS is also useful to characterize isolates and to analyze their phylogenetic relationship (Holmes et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Whole-Genome Phylogenetic Analysis Reveals a Wide Diversity of Non-O157 STEC Isolated From Ground Beef and Cattle Feces

et al. 2021

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Shiga toxin-producing Escherichia coli (STEC) causes foodborne outbreaks that can lead to complications such as hemolytic uremic syndrome. Their main reservoir is cattle, and ground beef has been frequently associated with disease and outbreaks. In this study, we attempted to understand the genetic relationship among STEC isolated in Chile from different sources, their relationship to STEC from the rest of the world, and to identify molecular markers of Chilean STEC. We sequenced 62 STEC isolated in Chile using MiSeq Illumina. In silico typing was determined using tools of the Center Genomic Epidemiology, Denmark University (CGE/DTU). Genomes of our local STEC collection were compared with 113 STEC isolated worldwide through a core genome MLST (cgMLST) approach, and we also searched for distinct genes to be used as molecular markers of Chilean isolates. Genomes in our local collection were grouped based on serogroup and sequence type, and clusters were formed within local STEC. In the worldwide STEC analysis, Chilean STEC did not cluster with genomes of the rest of the world suggesting that they are not phylogenetically related to previously described STEC. The pangenome of our STEC collection was 11,650 genes, but we did not identify distinct molecular markers of local STEC. Our results showed that there may be local emerging STEC with unique features, nevertheless, no molecular markers were detected. Therefore, there might be elements such as a syntenic organization that might explain differential clustering detected between local and worldwide STEC.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Whole-Genome Phylogenetic Analysis Reveals a Wide Diversity of Non-O157 STEC Isolated From Ground Beef and Cattle Feces

et al. 2021

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“…2 It is found in meat, dairy products, aquatic products and vegetables that are transported and stored at low temperatures due to its strong tolerance to various stress conditions, including low temperature, high salt, low pH, oxidative stress, etc . 3,4 Eating L. monocytogenes contaminated food may cause serious illnesses such as meningitis and sepsis in immunocompromised person like newborns and the elderly, and miscarriage and stillbirth in pregnant women. 5 In 2017 alone, 28 member states in Europe reported 2480 human cases of listeriosis.…”

Section: Introductionmentioning

confidence: 99%

A novel lateral flow immunoassay strip based on a label-free magnetic Fe₃O₄@UiO-66-NH₂ nanocomposite for rapid detection of Listeria monocytogenes

Liu

et al. 2022

Anal. Methods

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“…It is intended to rule out a large number of negative samples and detect a few positive samples at a lower cost. Pooling has been widely utilized in various testing scenarios where positive samples are rare, such as high throughput drug screening [ 1 , 2 ], detecting human pathogens in clinical samples [ 3 – 5 ], testing for foodborne pathogens in food products [ 6 , 7 ]. To perform pooling, a variety of pooling schemes have been developed including one-dimensional (1D), two-dimensional (2D), N-dimensional, orthogonal pooling, and Shifted Transversal Design (STD) [ 1 , 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

When to use one-dimensional, two-dimensional, and Shifted Transversal Design pooling in mycotoxin screening

2020

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While complex sample pooling strategies have been developed for large-scale experiments with robotic liquid handling, many medium-scale experiments like mycotoxin screening by Enzyme-Linked Immunosorbent Assay (ELISA) are still conducted manually in 48-and 96well plates. At this scale, the opportunity to save on reagent costs is offset by the increased costs of labor, materials, and risk-of-error caused by increasingly complex pooling strategies. This paper compares one-dimensional (1D), two-dimensional (2D), and Shifted Transversal Design (STD) pooling to study whether pooling affects assay accuracy and experimental cost and to provide guidance for when a human experimentalist might benefit from pooling. We approximated mycotoxin contamination in single corn kernels by fitting statistical distributions to experimental data (432 kernels for aflatoxin and 528 kernels for fumonisin) and used experimentally-validated Monte-Carlo simulation (10,000 iterations) to evaluate assay sensitivity, specificity, reagent cost, and pipetting cost. Based on the validated simulation results, assay sensitivity remains 100% for all four pooling strategies while specificity decreases as prevalence level rises. Reagent cost could be reduced by 70% and 80% in 48-and 96-well plates, with 1D and STD pooling being most reagent-saving respectively. Such a reagent-saving effect is only valid when prevalence level is < 21% for 48-well plates and < 13%-21% for 96-well plates. Pipetting cost will rise by 1.3-3.3 fold for 48-well plates and 1.2-4.3 fold for 96-well plates, with 1D pooling by row requiring the least pipetting. Thus, it is advisable to employ pooling when the expected prevalence level is below 21% and when the likely savings of up to 80% on reagent cost outweighs the increased materials and labor costs of up to 4 fold increases in pipetting.

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Detection of Listeria spp. and L. monocytogenes in pooled test portion samples of processed dairy products

Cited by 14 publications

References 11 publications

Whole-Genome Phylogenetic Analysis Reveals a Wide Diversity of Non-O157 STEC Isolated From Ground Beef and Cattle Feces

Whole-Genome Phylogenetic Analysis Reveals a Wide Diversity of Non-O157 STEC Isolated From Ground Beef and Cattle Feces

A novel lateral flow immunoassay strip based on a label-free magnetic Fe₃O₄@UiO-66-NH₂ nanocomposite for rapid detection of Listeria monocytogenes

When to use one-dimensional, two-dimensional, and Shifted Transversal Design pooling in mycotoxin screening

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Detection of Listeria spp. and L. monocytogenes in pooled test portion samples of processed dairy products

Cited by 14 publications

References 11 publications

Whole-Genome Phylogenetic Analysis Reveals a Wide Diversity of Non-O157 STEC Isolated From Ground Beef and Cattle Feces

Whole-Genome Phylogenetic Analysis Reveals a Wide Diversity of Non-O157 STEC Isolated From Ground Beef and Cattle Feces

A novel lateral flow immunoassay strip based on a label-free magnetic Fe3O4@UiO-66-NH2 nanocomposite for rapid detection of Listeria monocytogenes

When to use one-dimensional, two-dimensional, and Shifted Transversal Design pooling in mycotoxin screening

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A novel lateral flow immunoassay strip based on a label-free magnetic Fe₃O₄@UiO-66-NH₂ nanocomposite for rapid detection of Listeria monocytogenes