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Mobile genetic elements define the non-random structure of the Salmonella enterica serovar Typhi pangenome

Abstract: Bacterial relatedness measured using select chromosomal loci forms the basis of public health genomic surveillance. While approximating vertical evolution through this approach has proven exceptionally valuable for understanding pathogen dynamics, it excludes a fundamental dimension of bacterial evolution -horizontal gene transfer. Incorporating the accessory genome is the logical remediation and has recently shown promise in expanding epidemiological resolution for enteric pathogens. Employing k-mer-based Jaccard index analysis, and a novel genome length distance metric, we computed pangenome (i.e., core and accessory) relatedness for the globally important pathogen Salmonella enterica serotype Typhi (Typhi), and graphically express both vertical (homology-by-descent) and horizontal (homology-by-admixture) evolutionary relationships in a reticulate network of over 2,200 U.S. Typhi genomes. This analysis revealed non-random structure in the Typhi pangenome that is driven predominantly by the gain and loss of mobile genetic elements, confirming and expanding upon known epidemiological patterns, revealing novel plasmid dynamics, and identifying avenues for further genomic epidemiological exploration. With an eye to public health application, this work adds important biological context to the rapidly improving ways of analyzing bacterial genetic data and demonstrates the value of the accessory genome to infer pathogen epidemiology and evolution.

 Autoría: Peñil-Celis A., Tagg K.A., Webb H.E., Redondo-Salvo S., Watkins L.F., Vielva L., Griffin C., Kim J.Y., Folster J.P., Garcillan-Barcia M.P., de la Cruz F.,

 Fuente: mSystems, 2024, 9(8), 1-20

 Editorial: American Society for Microbiology

 Año de publicación: 2024

 Nº de páginas: 20

 Tipo de publicación: Artículo de Revista

 DOI: 10.1128/msystems.00365-24

 ISSN: 2379-5077

 Url de la publicación: https://doi.org/10.1128/msystems.00365-24

Autoría

TAGG, KAITLIN A.

WEBB, HATTIE E.

WATKINS, LOUISE FRANCOIS

GRIFFIN, CHELSEY

KIM, JUSTIN Y.

FOLSTER, JASON