Subtopic Deep Dive

Campylobacter jejuni Population Genetics
Research Guide

What is Campylobacter jejuni Population Genetics?

Campylobacter jejuni population genetics studies genetic diversity, recombination rates, and host adaptation in C. jejuni lineages using whole-genome sequencing from poultry, ruminant, and human sources.

Researchers apply whole-genome sequencing (WGS) to analyze C. jejuni clonal complexes and recombination events (Parkhill et al., 2000, 1976 citations). Studies reveal transmission dynamics between animal reservoirs and humans (Friedman et al., 2000, 911 citations). Over 10 key papers quantify genomic epidemiology since the first C. jejuni genome.

15
Curated Papers
3
Key Challenges

Why It Matters

Genomic analysis identifies high-risk C. jejuni strains linked to poultry transmission, guiding targeted interventions (Kaakoush et al., 2015). Parkhill et al. (2000) revealed hypervariable sequences driving virulence evolution, informing vaccine design against dominant lineages. Mead et al. (1999, 7247 citations) estimated 76 million annual U.S. foodborne illnesses, with C. jejuni contributing significantly to poultry-sourced cases, enabling risk-based control strategies.

Key Research Challenges

High recombination rates

C. jejuni genomes show frequent homologous recombination, complicating phylogenetic inference (Parkhill et al., 2000). This obscures clonal lineage tracking across hosts. WGS datasets require specialized models to disentangle mutation from recombination.

Host-specific adaptation

Lineages adapt differently to poultry versus human hosts, challenging source attribution (Friedman et al., 2000). Genomic markers of virulence vary by reservoir. Multi-host sampling designs are needed for accurate epidemiology.

Scalable WGS analysis

Large-scale WGS from surveillance demands computational pipelines for diversity metrics (Kaakoush et al., 2015). Core-genome MLST struggles with hypervariable regions. Automated tools for population structure are underdeveloped.

Essential Papers

1.

Food-Related Illness and Death in the United States

Paul S. Mead, Laurence Slutsker, Vance Dietz et al. · 1999 · Emerging infectious diseases · 7.2K citations

To better quantify the impact of foodborne diseases on health in the United States, we compiled and analyzed information from multiple surveillance systems and other sources. We estimate that foodb...

2.

The genome sequence of the food-borne pathogen Campylobacter jejuni reveals hypervariable sequences

Julian Parkhill, Brendan W. Wren, Karen Mungall et al. · 2000 · Nature · 2.0K citations

3.

Global Epidemiology of Campylobacter Infection

Nadeem O. Kaakoush, Natalia Castaño‐Rodríguez, Hazel M. Mitchell et al. · 2015 · Clinical Microbiology Reviews · 1.4K citations

SUMMARY Campylobacter jejuni infection is one of the most widespread infectious diseases of the last century. The incidence and prevalence of campylobacteriosis have increased in both developed and...

4.

Campylobacter enteritis: a "new" disease.

M. B. Skirrow · 1977 · BMJ · 1.4K citations

By selective culture campylobacters (C jejuni and C coli) were isolated from the faeces of 57 (7-1%) out of 803 unselected patients with diarrhoea; none were isolated from 194 people who had not go...

5.

Antibacterial Activity and Mechanism of Action of Zinc Oxide Nanoparticles against <i>Campylobacter jejuni</i>

Yanping Xie, Yiping He, Peter L. Irwin et al. · 2011 · Applied and Environmental Microbiology · 1.3K citations

ABSTRACT The antibacterial effect of zinc oxide (ZnO) nanoparticles on Campylobacter jejuni was investigated for inhibition and inactivation of cell growth. The results showed that C. jejuni was ex...

6.

Campylobacter jejuni Infections: Update on Emerging Issues and Trends

David W. K. Acheson, Ban Mishu Allos · 2001 · Clinical Infectious Diseases · 1.2K citations

Infection with Campylobacter jejuni is one of the most common causes of gastroenteritis worldwide; it occurs more frequently than do infections caused by Salmonella species, Shigella species, or Es...

7.

Rapid methods for the detection of foodborne bacterial pathogens: principles, applications, advantages and limitations

Jodi Woan‐Fei Law, Nurul‐Syakima Ab Mutalib, Kok‐Gan Chan et al. · 2015 · Frontiers in Microbiology · 1.2K citations

The incidence of foodborne diseases has increased over the years and resulted in major public health problem globally. Foodborne pathogens can be found in various foods and it is important to detec...

Reading Guide

Foundational Papers

Start with Parkhill et al. (2000) for initial genome and hypervariable sequences, then Skirrow (1977, 1438 citations) for disease recognition, and Mead et al. (1999) for epidemiological burden.

Recent Advances

Kaakoush et al. (2015, 1449 citations) for global patterns; Friedman et al. (2000, 911 citations) for U.S. transmission dynamics.

Core Methods

Whole-genome sequencing, core-genome MLST, recombination detection, and host genomic association studies.

How PapersFlow Helps You Research Campylobacter jejuni Population Genetics

Discover & Search

Research Agent uses searchPapers('Campylobacter jejuni whole-genome sequencing recombination') to find 50+ papers, then citationGraph on Parkhill et al. (2000) maps lineage studies, and findSimilarPapers reveals host adaptation works like Friedman et al. (2000). exaSearch queries 'C. jejuni clonal complexes poultry humans' for unpublished preprints.

Analyze & Verify

Analysis Agent runs readPaperContent on Parkhill et al. (2000) to extract hypervariable sequence data, verifies recombination claims with verifyResponse (CoVe), and uses runPythonAnalysis for phylogenetic tree plotting with NumPy/pandas on genomic datasets. GRADE grading scores evidence strength for transmission claims from Kaakoush et al. (2015).

Synthesize & Write

Synthesis Agent detects gaps in poultry-human transmission studies, flags contradictions in recombination rates across papers, and uses exportMermaid for lineage cladograms. Writing Agent applies latexEditText to draft methods sections, latexSyncCitations for Mead et al. (1999), and latexCompile for full manuscripts with genomic figures.

Use Cases

"Compute recombination rates in C. jejuni genomes from poultry isolates"

Research Agent → searchPapers → Analysis Agent → runPythonAnalysis (pandas for cgMLST distances, matplotlib heatmaps) → researcher gets recombination fraction stats and visualizations.

"Draft LaTeX review on C. jejuni population structure with citations"

Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations (Parkhill 2000, Friedman 2000) + latexCompile → researcher gets compiled PDF with synced bibliography and figures.

"Find code for C. jejuni WGS phylogeny from recent papers"

Research Agent → paperExtractUrls → Code Discovery → paperFindGithubRepo → githubRepoInspect → researcher gets runnable PopPUNK or fastGEAR scripts for population genetics.

Automated Workflows

Deep Research workflow scans 50+ papers on C. jejuni genomics via searchPapers → citationGraph → structured report with clonal complex summaries. DeepScan applies 7-step CoVe chain to verify recombination claims in Parkhill et al. (2000). Theorizer generates hypotheses on host jumps from Friedman et al. (2000) lineage data.

Frequently Asked Questions

What defines Campylobacter jejuni population genetics?

It examines genetic diversity, recombination, and adaptation in C. jejuni using WGS from animal and human isolates (Parkhill et al., 2000).

What methods are used?

Core-genome MLST, phylogenetic modeling, and recombination detection via WGS (Friedman et al., 2000; Kaakoush et al., 2015).

What are key papers?

Parkhill et al. (2000, 1976 citations) sequenced the first genome revealing hypervariable regions; Mead et al. (1999, 7247 citations) quantified foodborne burden.

What open problems exist?

Disentangling recombination from selection in multi-host lineages and scaling WGS for global surveillance (Kaakoush et al., 2015).

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