Pangenomic analyses of antibiotic-resistant Campylobacter jejuni reveal unique lineage distributions and epidemiological associations

Author:

Rodrigues Jose A.1,Blankenship Heather M.21,Cha Wonhee31,Mukherjee Sanjana41,Sloup Rebekah E.1,Rudrik James T.2,Soehnlen Marty2,Manning Shannon D.1ORCID

Affiliation:

1. Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI, USA

2. Michigan Department of Health and Human Services, Bureau of Laboratories, Lansing, Michigan, USA

3. Present address: National Veterinary Institute, Uppsala, Sweden

4. Present address: Center for Global Health Science and Security, Georgetown University, Washington, USA

Abstract

Application of whole-genome sequencing (WGS) to characterize foodborne pathogens has advanced our understanding of circulating genotypes and evolutionary relationships. Herein, we used WGS to investigate the genomic epidemiology of Campylobacter jejuni , a leading cause of foodborne disease. Among the 214 strains recovered from patients with gastroenteritis in Michigan, USA, 85 multilocus sequence types (STs) were represented and 135 (63.1 %) were phenotypically resistant to at least one antibiotic. Horizontally acquired antibiotic resistance genes were detected in 128 (59.8 %) strains and the genotypic resistance profiles were mostly consistent with the phenotypes. Core-gene phylogenetic reconstruction identified three sequence clusters that varied in frequency, while a neighbour-net tree detected significant recombination among the genotypes (pairwise homoplasy index P<0.01). Epidemiological analyses revealed that travel was a significant contributor to pangenomic and ST diversity of C. jejuni , while some lineages were unique to rural counties and more commonly possessed clinically important resistance determinants. Variation was also observed in the frequency of lineages over the 4 year period with chicken and cattle specialists predominating. Altogether, these findings highlight the importance of geographically specific factors, recombination and horizontal gene transfer in shaping the population structure of C. jejuni . They also illustrate the usefulness of WGS data for predicting antibiotic susceptibilities and surveillance, which are important for guiding treatment and prevention strategies.

Funder

Michigan Department of Health and Human Services

Michigan State University

Publisher

Microbiology Society

Subject

General Medicine

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