ReviewClinical microbiology reviews2016
Navigating Microbiological Food Safety in the Era of Whole-Genome Sequencing.
Review in Clinical microbiology reviews, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
62 citing papers in PubMed.
- Comprehensive genome-based characterization and pan-genome analysis of Bacillus paranthracis SM02 isolated from a fermented food ecosystem.Functional & integrative genomics · 2026Article
- Immunomodulatory and Gut Microbiota-Regulating Effects of Lactobacillus helveticus LH76 in Healthy Adults: Preclinical Safety Assessment and a Randomized, Double-Blind, Placebo-Controlled Trial.Probiotics and antimicrobial proteins · 2026Article
- Genomic epidemiology ofProceedings of the National Academy of Sciences of the United States of America · 2026Article
- Genomic and resistome characterization of a multidrug-resistantFrontiers in microbiology · 2026Article
- Detection, Genomic Characterization, and Antibiotic Susceptibility ofFoods (Basel, Switzerland) · 2025Article
- Genomic perspectives on foodborne illness.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Article
- Whole-Genome Sequencing of Shiga Toxin-ProducingMicroorganisms · 2023Article
- The Microbial Genetic Diversity and Succession Associated with Processing Waters at Different Broiler Processing Stages in an Abattoir in Australia.Pathogens (Basel, Switzerland) · 2023Article
- Genetic Characterization ofFoods (Basel, Switzerland) · 2023Article
- Draft genome of Raoultella planticola, a high lead resistance bacterium from industrial wastewater.AMB Express · 2023Article
- 16S microbiome analysis of microbial communities in distribution centers handling fresh produce.Frontiers in microbiology · 2023Article
- A Practical Bioinformatics Workflow for Routine Analysis of Bacterial WGS Data.Microorganisms · 2022Article
- Combining analytical epidemiology and genomic surveillance to identify risk factors associated with the spread of antimicrobial resistance inMicrobial genomics · 2022Article
- Molecular source attribution.PLoS computational biology · 2022Article
- ClinicalJournal of fungi (Basel, Switzerland) · 2022Review
- Application of Nanopore Sequencing in the Detection of Foodborne Microorganisms.Nanomaterials (Basel, Switzerland) · 2022Review
- Whole Genome Sequencing Contributions and Challenges in Disease Reduction Focused on Malaria.Biology · 2022Review
- Construction of a Traceability System for Food Industry Chain Safety Information Based on Internet of Things Technology.Frontiers in public health · 2022Article
- Isolation, identification, and whole-genome sequencing of high-yield protease bacteria from Daqu of ZhangGong Laojiu.PloS one · 2022Article
2 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The epidemiological investigation of a foodborne outbreak, including identification of related cases, source attribution, and development of intervention strategies, relies heavily on the ability to subtype the etiological agent at a high enough resolution to differentiate related from nonrelated cases. Historically, several different molecular subtyping methods have been used for this purpose; however, emerging techniques, such as single nucleotide polymorphism (SNP)-based techniques, that use whole-genome sequencing (WGS) offer a resolution that was previously not possible. With WGS, unlike traditional subtyping methods that lack complete information, data can be used to elucidate phylogenetic relationships and disease-causing lineages can be tracked and monitored over time. The subtyping resolution and evolutionary context provided by WGS data allow investigators to connect related illnesses that would be missed by traditional techniques. The added advantage of data generated by WGS is that these data can also be used for secondary analyses, such as virulence gene detection, antibiotic resistance gene profiling, synteny comparisons, mobile genetic element identification, and geographic attribution. In addition, several software packages are now available to generate in silico results for traditional molecular subtyping methods from the whole-genome sequence, allowing for efficient comparison with historical databases. Metagenomic approaches using next-generation sequencing have also been successful in the detection of nonculturable foodborne pathogens. This review addresses state-of-the-art techniques in microbial WGS and analysis and then discusses how this technology can be used to help support food safety investigations. Retrospective outbreak investigations using WGS are presented to provide organism-specific examples of the benefits, and challenges, associated with WGS in comparison to traditional molecular subtyping techniques.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.