Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

829
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
829
Bacterial Gastroenteritis01:18

Bacterial Gastroenteritis

76
Bacterial gastroenteritis, characterized by diarrhea, abdominal cramps, and vomiting, is often caused by ingestion of contaminated food or water and is frequently associated with pathogenic Escherichia coli strains. These microbes exploit two principal mechanisms to inflict disease.Shiga toxin–producing E. coli, also referred to as STEC—notably O157:H7—release Shiga toxins that target ribosomes, blocking protein synthesis. The B subunit of the toxin binds the host glycolipid...
76
Evolution of Microbial Genome01:08

Evolution of Microbial Genome

87
Microbial genome evolution is a highly dynamic process shaped by continual gene gain and loss across species and strains. This genomic flexibility allows microorganisms to adapt rapidly to environmental pressures and interactions with other organisms. Central to understanding this diversity is the distinction between the core and pan genomes.The core genome comprises the genes shared by all sampled strains of a species, representing essential functions needed for fundamental cellular processes.
87
Methods of Classification and Identification01:28

Methods of Classification and Identification

2.1K
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
2.1K
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

702
Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
702
Microbial Classification System01:24

Microbial Classification System

1.8K
Classification is the process of organizing organisms into hierarchically inclusive groups based on their phenotypic similarities or evolutionary relationships. A species comprises one or more strains, and closely related species are grouped into genera. Genera are further classified into families, families into orders, orders into classes, and so forth, up to the domain level, which is the broadest taxonomic rank derived from a combination of phenotypic and genotypic data.The nomenclature of...
1.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Update of the list of qualified presumption of safety (QPS) recommended microbiological agents intentionally added to food or feed as notified to EFSA 24: Suitability of taxonomic units notified to EFSA until March 2026.

EFSA journal. European Food Safety Authority·2026
Same author

WHO estimates of the global, regional, and national foodborne burdens of 14 invasive parasitic diseases, 2000-21: an updated data synthesis.

The Lancet. Global health·2026
Same author

WHO estimates of the global, regional, and national burden of 42 foodborne infectious and chemical hazards, 2000-21: an updated data synthesis.

The Lancet. Global health·2026
Same author

Impact of livestock-related air pollution on public health: A nationwide population-based study on COVID-19 in the Netherlands.

Environment international·2026
Same author

Reducing antimicrobial use in livestock alone may be not sufficient to reduce antimicrobial resistance among human Campylobacter infections: an ecological study in the Netherlands - CORRIGENDUM.

Epidemiology and infection·2026
Same author

Source attribution of foodborne pathogens in the Netherlands using structured expert elicitation.

International journal of food microbiology·2026

Related Experiment Video

Updated: Apr 23, 2026

Quasi-metagenomic Analysis of Salmonella from Food and Environmental Samples
06:12

Quasi-metagenomic Analysis of Salmonella from Food and Environmental Samples

Published on: October 25, 2018

8.1K

Salmonella source attribution based on microbial subtyping: does including data on food consumption matter?

Lapo Mughini-Gras1, Wilfrid van Pelt1

  • 1National Institute for Public Health and the Environment (RIVM), Centre for Infectious Disease Control (CIb), Epidemiology and Surveillance Unit, Bilthoven, The Netherlands.

International Journal of Food Microbiology
|September 28, 2014
PubMed
Summary

Incorporating food consumption data into Salmonella source attribution models significantly alters results. Adjusting for raw/undercooked food consumption is crucial for accurate reservoir identification in human salmonellosis.

Keywords:
Dutch modelHald modelQuantitative microbial risk assessmentSalmonellosis

More Related Videos

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.1K
An Allelotyping PCR for Identifying Salmonella enterica serovars Enteritidis, Hadar, Heidelberg, and Typhimurium
12:18

An Allelotyping PCR for Identifying Salmonella enterica serovars Enteritidis, Hadar, Heidelberg, and Typhimurium

Published on: July 22, 2011

24.2K

Related Experiment Videos

Last Updated: Apr 23, 2026

Quasi-metagenomic Analysis of Salmonella from Food and Environmental Samples
06:12

Quasi-metagenomic Analysis of Salmonella from Food and Environmental Samples

Published on: October 25, 2018

8.1K
Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.1K
An Allelotyping PCR for Identifying Salmonella enterica serovars Enteritidis, Hadar, Heidelberg, and Typhimurium
12:18

An Allelotyping PCR for Identifying Salmonella enterica serovars Enteritidis, Hadar, Heidelberg, and Typhimurium

Published on: July 22, 2011

24.2K

Area of Science:

  • Food safety
  • Microbial source attribution
  • Epidemiology

Background:

  • Microbial subtyping is vital for identifying human salmonellosis reservoirs and assessing food safety interventions.
  • Salmonella source attribution models often include food consumption data and contamination levels.
  • Not all foods equally risk transmitting Salmonella; raw/undercooked consumption increases risk.

Purpose of the Study:

  • To evaluate the impact of incorporating food consumption data into two Salmonella source attribution models: the modified Dutch and Hald models.
  • To assess the effect of an additional parameter weighting food consumption by its likelihood of raw/undercooked consumption.
  • To determine if these adjustments improve the accuracy of Salmonella reservoir identification.

Main Methods:

  • Utilized Salmonella data from the Netherlands (2001-2004).
  • Compared attributions from models with and without food consumption data.
  • Introduced and tested a weighting parameter for raw/undercooked food consumption likelihood.

Main Results:

  • Food consumption data drastically changed reservoir rankings in the Dutch model, but not the Hald model.
  • The Dutch model, with consumption data, incorrectly ranked pigs above layers/eggs as the primary reservoir.
  • Adding a raw/undercooked consumption weight corrected the Dutch model's reservoir attributions.
  • The Hald model proved robust, unaffected by food consumption data inclusion or weighting.

Conclusions:

  • Food consumption data significantly impacts Salmonella source attribution results in the Dutch model.
  • Excluding consumption data or using a raw/undercooked weighting is necessary for the Dutch model's accuracy.
  • The Hald model effectively accounts for food consumption and vehicle potential without modification.
  • Accurate Salmonella reservoir identification requires models that consider both consumption volume and preparation methods.