4.6 Article

Metagenomic Strain-Typing Combined with Isolate Sequencing Provides Increased Resolution of the Genetic Diversity of Campylobacter jejuni Carriage in Wild Birds

Journal

MICROORGANISMS
Volume 11, Issue 1, Pages -

Publisher

MDPI
DOI: 10.3390/microorganisms11010121

Keywords

Campylobacter jejuni; strain typing; metagenomics; wild birds; molecular epidemiology

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As the leading cause of human gastroenteritis, Campylobacter must be monitored extensively using a One Health approach. Wild birds are believed to play a role in spreading recurrent C. jejuni genotypes across countries. To address the challenge of genomic diversity, a filtration method was used to obtain isolates and genotypes were recovered from metagenomic sequencing data. A computational workflow was developed to genotype mixed strains. This study provides a foundation for future research on C. jejuni diversity in environmental and clinical settings.
As the world's leading cause of human gastro-enteritis, the food- and waterborne pathogen Campylobacter needs to be intensively monitored through a One Health approach. Particularly, wild birds have been hypothesized to contribute to the spread of human clinical recurring C. jejuni genotypes across several countries. A major concern in studying epidemiological dynamics is resolving the large genomic diversity of strains circulating in the environment and various reservoirs, challenging to achieve with isolation techniques. Here, we applied a passive-filtration method to obtain isolates and in parallel recovered genotypes from metagenomic sequencing data from associated filter sweeps. For genotyping mixed strains, a reference-based computational workflow to predict allelic profiles of nine extended-MLST loci was utilized. We validated the pipeline by sequencing artificial mixtures of C. jejuni strains and observed the highest prediction accuracy when including obtained isolates as references. By analyzing metagenomic samples, we were able to detect over 20% additional genetic diversity and observed an over 50% increase in the potential to connect genotypes across wild-bird samples. With an optimized filtration method and a computational approach for genotyping strain mixtures, we provide the foundation for future studies assessing C. jejuni diversity in environmental and clinical settings at improved throughput and resolution.

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