Whole Genome Sequence Analysis of Isolates Obtained from the Beef Production Chain in Gauteng Province, South Africa.

The study used whole-genome sequencing (WGS) and bioinformatics analysis for the genomic characterization of 60 isolates of obtained from the beef production chain (cattle farms, abattoirs, and retail outlets) in Gauteng province, South Africa. The sequence types (STs), clonal complexes (CCs), and the lineages of the isolates were determined using in silico multilocus sequence typing (MLST). We used BLAST-based analyses to identify virulence and antimicrobial genes, plasmids, proviruses/prophages, and the CRISPR-Cas system. The study investigated any association of the detected genes to the origin in the beef production chain of the isolates. Overall, in 60 isolates of , there were seven STs, six CCs, forty-four putative virulence factors, two resistance genes, one plasmid with AMR genes, and three with conjugative genes, one CRISPR gene, and all 60 isolates were positive for proviruses/prophages. Among the seven STs detected, ST204 (46.7%) and ST2 (21.7%) were the most prominent, with ST frequency varying significantly ( < 0.001). The predominant CC detected were CC2 (21.7%) and CC204 (46.7%) in lineages I and II, respectively. Of the 44 virulence factors detected, 26 (across Pathogenicity Islands, LIPIs) were present in all the isolates. The difference in the detection frequency varied significantly ( < 0.001). The two AMR genes ( and ()) detected were present in all 60 (100%) isolates of The only plasmid, NF033156, was present in three (5%) isolates. A CRISPR-Cas system was detected in six (10%), and all the isolates carried proviruses/prophages. The source and sample type significantly affected the frequencies of STs and virulence factors in the isolates of The presence of and () genes in all isolates obtained from the three industries of the beef production chain can potentially cause therapeutic implications. Our study, which characterized recovered from the three levels in the beef production chain, is the first time genomics was performed on this type of data set in the country, and this provides insights into the health implications of