Some of the most common infectious diseases are caused by bacteria that naturally colonise humans asymptomatically. Combating these opportunistic pathogens requires an understanding of the traits that differentiate infecting strains from harmless relatives. Staphylococcus epidermidis is carried asymptomatically on the skin and mucous membranes of virtually all humans but is a major cause of nosocomial infection associated with invasive procedures. Here we address the underlying evolutionary mechanisms of opportunistic pathogenicity by combining pangenome-wide association studies and laboratory microbiology to compare S. epidermidis from bloodstream and wound infections and asymptomatic carriage. We identify 61 genes containing infection-associated genetic elements (k-mers) that correlate with in vitro variation in known pathogenicity traits (biofilm formation, cell toxicity, interleukin-8 production, methicillin resistance). Horizontal gene transfer spreads these elements, allowing divergent clones to cause infection. Finally, Random Forest model prediction of disease status (carriage vs. infection) identifies pathogenicity elements in 415 S. epidermidis isolates with 80% accuracy, demonstrating the potential for identifying risk genotypes pre-operatively.

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Background Monophasic Salmonella Typhimurium or S. enterica 1,4,[5],12:i:- is among the top five serotypes reported in Thailand. In this study, nineteen monophasic S. Typhimurium from the pig production chain in Chiang Mai and Lamphun provinces during 2011–2014 were sequenced and compared to a globally disseminated clone. Isolates were probed in silico for the presence of antimicrobial resistance genes and Salmonella virulence factors, including Pathogenicity Islands. Results All isolates were from sequence type 34 (ST-34) and clustered similarly in core and pangenome genealogies. The two closest related isolates showed differences in only eighteen loci from whole-genome multilocus sequence typing analysis. All 19 isolates carried aminoglycoside and beta-lactam class resistance genes and genes for five or more different antibiotic classes. Seven out of 14 known SPIs were detected, including SPI-5, SPI-13 and SPI-14, which were detected in all isolates. Conclusions The multi-drug resistant clone, ST-34 was sampled at all stages of pork production. This clone has infiltrated global agricultural processes and poses a significant public health risk. Differences in the core and accessory genomes of the isolates we collected suggest that strains persist though the pork production process, with evidence of mutation within the core-genome and horizontal acquisition of genes, potentially via sharing of pathogenicity islands and plasmids. This highlights the importance of surveillance and targeted intervention measures to successfully control Salmonella contamination.

Streptococcus suis is a leading cause of bacterial meningitis in South-East Asia, with frequent zoonotic transfer to humans associated with close contact with pigs. A small number of invasive lineages are responsible for endemic infection in the swine industry, causing considerable global economic losses. A lack of surveillance and a rising trend in clinical treatment failure has raised concerns of growing antimicrobial resistance (AMR) among invasive S. suis . Gene flow between healthy and disease isolates is poorly understood and, in this study, we sample and sequence a collection of isolates predominantly from healthy pigs in Chiang Mai province, Northern Thailand. Pangenome characterization identified extensive genetic diversity and frequent AMR carriage in isolates from healthy pigs. Multiple AMR genes were identified, conferring resistance to aminoglycosides, lincosamides, tetracycline and macrolides. All isolates were non-susceptible to three or more different antimicrobial classes, and 75 % of non-serotype 2 isolates were non-susceptible to six or more classes (compared to 37.5 % of serotype 2 isolates). AMR genes were found on integrative and conjugative elements previously observed in other species, suggesting a mobile gene pool that can be accessed by invasive disease isolates. This article contains data hosted by Microreact.

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