Abstract

The zoonotic pathogen Campylobacter is the leading cause for bacterial foodborne infections in humans. Campylobacters are most commonly transmitted via the consumption of undercooked poultry meat or raw milk products. The decreasing costs of whole genome sequencing enabled large genome-based analyses of the evolution and population structure of this pathogen, as well as the development of novel high-throughput molecular typing methods. Here, we review the evolutionary development and the population diversity of the two most clinically relevant Campylobacter species; C. jejuni and C. coli. The state-of-the-art phylogenetic studies showed clustering of C. jejuni lineages into host specialists and generalists with coexisting lifestyles in chicken and livestock-associated hosts, as well as the separation of C. coli isolates of riparian origin (waterfowl, water) from C. coli isolated from clinical and farm-related samples. We will give an overview of recombination between both species and the potential impact of horizontal gene transfer on host adaptation in Campylobacter. Additionally, this review briefly places the current knowledge of the population structure of other Campylobacter species such as C. lari, C. concisus and C. upsaliensis into perspective. We also provide an overview of how molecular typing methods such as multilocus sequence typing (MLST) and whole genome MLST have been used to detect and trace Campylobacter outbreaks along the food chain.

Highlights

  • The most commonly known species are Campylobacter jejuni and Campylobacter coli that are mainly associated with campylobacteriosis in humans (Møller Nielsen 1997; Gillespie et al 2002)

  • We exemplarily describe the population structure of C. lari, C. upsaliensis and C. concisus that are frequently found in gastroenteritis patients (Man 2011)

  • The species of genus Campylobacter show a very individual population structure ranging from less clonal diversity to strictly separated clonal lineages

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Summary

Introduction

Campylobacter is one of the most common causes of foodborne infections worldwide (Kaakoush et al 2015). Instead of only analyzing a small part of the genome, e.g., a single gene (flaA typing) or MLST, which accounts for only 0.2% of the genome (Sheppard and Maiden 2015), wgMLST differentiates isolates by using all coding regions of the genomes incorporating hundreds of genes This high discriminatory power even allows to link transmission events in epidemiological studies. NGS provides a broad range of possibilities to study genetic variations with respect to phenotypic difference Powerful tools such as pan-genomic studies (Medini et al 2005) or genome-wide association studies (GWAS), which were recently applied to microbial genomics (Falush 2016), allow very detailed correlation of the presence/absence and the allelic variants of all genes within a bacterial species population with specific phenotypes We describe the huge potential of high-throughput and computational methods used to study relationships of Campylobacter strains in an agricultural and clinical environment that have provided new evidence regarding host and niche segregation

Evolution Theory and Concepts for the Genus Campylobacter
Population Structure
Inter Species Recombination and Hybrid Species
Additional Species
Host Association of Campylobacter
Impact of Genomic High-Throughput Methods
Source Attribution in Clinical and Agricultural Setting
Relevance for Public Health (Applications)
Findings
Concluding Remarks
Full Text
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