Genomic profiling of Pasteurella multocida isolated from feedlot cases of bovine respiratory disease.

Pasteurella multocida causes a range of diseases in many host species throughout the world, including bovine respiratory disease (BRD) which is predominantly seen in feedlot cattle. This study assessed genetic diversity among 139 P. multocida isolates obtained from post-mortem lung swabs of BRD-affected feedlot cattle in four Australian states: New South Wales, Queensland, South Australia, and Victoria during 2014-2019. Whole-genome sequencing (WGS) was used to determine capsular serogroup, lipopolysaccharide genotypes, multi-locus sequence types and phylogenetic relationships. Two capsular types (A and D), with most isolates (132/139; 95%) belonging to type A; and three lipopolysaccharide (LPS) genotypes were identified (L1 [6/139; 4.3%], L3 [124/139; 89.2%] and L6 [9/139; 6.4%)]). Multi-locus sequence types (STs) ST9, ST13, ST17, ST20, ST36, ST50, ST58, ST79, ST124, ST125, ST132, ST167, ST185, ST327, ST394, and three novel STs [ST396, ST397, and ST398] were identified, with ST394 (59/139; 42.4%) and ST79 (44/139; 32%) the most prevalent in all four states. Isolates displaying phenotypic resistance to single, dual or multiple antibiotics (macrolide, tetracycline and aminopenicillins) were predominantly ST394 (23/139; 17%). Laterally mobile elements identified in the resistant ST394 isolates included small plasmids, encoding macrolide and/or tetracycline resistance, distributed in all states; and chromosomally located integrative conjugative elements (ICEs) (4 ST394 and 1 ST125) from the same Queensland feedlot. This study highlights the genomic diversity, epidemiological relationships and AMR associations in bovine P. multocida isolates from Australia and provides insight into the unique ST prevalence compared to other major beef-producing countries.
Competing Interests: Declaration of Competing Interest I confirm that none of the authors of this paper has a financial or personal relationship with other people or organisations that could improperly influence or bias the content of this paper.
(Copyright © 2023 Elsevier B.V. All rights reserved.)