O’Connor, Kathleen

Background Staphylococcus aureus causes a multiplicity of human diseases acquired in community and healthcare settings alike around the globe. While most studies focus on coding changes to assess genome evolution and study genetic adaptation, interrogation of silent mutations in the form of synonymous codon usage bias is less well-studied. As such, understanding of patterns in codon bias at the gene and genome levels, and how codon bias impacts protein expression in S. aureus remains incomplete. Methods The codon bias of 2,565 protein encoding genes from NCTC 8325 was queried against all publicly available closed S. aureus genomes. Using public BioSample data, genomes were sorted by disease state, submitting institution, and collection site. Codon bias was assessed at the level of gene and genome using the codon adaptation index (CAI), calculated using 30S and 50S ribosomal genes. Gene set enrichment analysis was applied to determine associations between physiological functions, CAI gene scores, and interquartile ranges. CAI scores were also compared to an in vitro S. aureus proteomics database to correlate codon bias and protein expression. Results CAI scores varied within and between isolates at the gene and genome levels. Genes with ribosome-associated functions were most enriched among high CAI genes, and had low CAI interquartile ranges (IQR), suggesting selective pressure to maintain high expression of these genes across all S. aureus isolates. Genome sequences submitted by Aga Khan University Hospital, Nairobi, Kenya were most different from others. For the LAC USA 300 strain, CAI and protein expression were moderately positively correlated (cor = 0.534, p < 2.2e-16). Conclusions Codon bias in S. aureus was shown to vary between gene, and to be a source of genetic variation between isolates; CAI and in vitro protein expression were positively correlated.

ABSTRACT Serine–aspartate repeat-containing protein D (SdrD) is a Staphylococcus aureus cell wall–anchored, calcium-binding adhesin member of the MSCRAMM Sdr subfamily that may contribute to bacterial adhesion and virulence. S. aureus is the most common cause of periprosthetic joint infection (PJI). Population-level distribution and sequence diversity of SdrD among clinical PJI isolates have not been systematically characterized, and the SdrD binding mechanism is still not well understood. To address these gaps, sdrD alleles were queried across 156 newly sequenced PJI isolates and compared to publicly available S. aureus genomes, and nucleotide– and protein-level phylogenies of the sdrCDE locus constructed. The SdrD crystal structure from S. aureus JH1 was determined, with solution small-angle X-ray scattering (SAXS) and molecular dynamics (MD) simulations, and assessment of conformational changes with calcium depletion. Three dominant sdrD subtypes were defined, associating with USA300, JH1, and TCH60; the JH1 sdrD subtype was predominant among PJI isolates. Structural studies showed that the conformation of individual domains and interdomain organization of the multidomain SdrD have limited flexibility in solution, and that the calcium-binding B domain retains its core fold under conditions of calcium depletion. Together, the findings presented support functional diversification among Sdr family members in mediating host attachment and inform a re-evaluation of the ligand-binding mechanism previously proposed for SdrD. AUTHOR SUMMARY Staphylococcus aureus is the leading cause of infections that develop around joint implants (periprosthetic joint infection, PJI). This bacterium has a large arsenal of surface proteins that allow it to stick to human tissues and implanted devices. This work focused on one such protein, SdrD, which has been linked to implant-associated infections but the structure and diversity of which among patients with PJI had not been well characterized. The genetic sequences of SdrD were analyzed across thousands of bacterial genomes, including those from patients with PJI. Distinct genetic variants of the protein were found, one of which was particularly common with PJI. The three-dimensional structure of SdrD was determined at atomic resolution and solution small-angle X-ray scattering (SAXS) and molecular dynamics used to study how it moves and responds to changes in its environment. Contrary to what was previously described, SdrD was shown to be relatively rigid. These findings change how SdrD’s mechanism of action should be considered, potentially informing design strategies to block bacterial attachment before infection takes hold.

Abstract Background Staphylococcus aureus is a challenging pathogen which causes a multiplicity of human diseases around the globe, acquired in the community and healthcare settings alike. Treatment of S. aureus infection can be challenging and is further compromised by antimicrobial resistance. Understanding of its pathogenesis, transmission pathways and the dynamics of its genome evolution and associated adaptations is incomplete. One strategy to assess genome evolution is to assess codon bias. Historically, studies have focused on the consequences of coding changes; assessing silent mutations in the form of synonymous codon usage bias represents a novel approach to studying genetic adaptation.Figure 1.Principal component analysis (PCA) (A) and sPLS-DA (B) separate S. aureus from complex mates.sPLS-DA component 1 relies on a hypothetical protein, identified here by its NCTC 8325 genomic coordinates, as important for separating S. aureus from complex mates (C). Methods Here, the codon bias of 2,872 genes was queried against all publicly available complete S. aureus plasmids and genomes. Using public BioSample data, genomes were sorted by disease state (e.g., bacteremia, pulmonary infection) and geographical collection site. Results Isolates from Nairobi, Kenya were most different from other isolates, suggesting that geographical isolation may shape codon bias signature. In addition, codon bias of two MSCRAMM proteins implicated in human disease - SdrC and FnBPB - varied between isolation sources, suggesting a role for codon bias in S. aureus genetic adaptation to selective pressures of infection. Additionally, codon bias out-performed coding and nucleic acid mutational metrics in separating members of the S. aureus complex, S. aureus, Staphylococcus argenteus, Staphylococcus schweitzeri, and Staphylococcus roterodami; Fig 1, sparse partial least squares analysis (sPLS-DA) mean AUC codon: 0.89762, nucleic acid: 0.82266, codon bias: 0.9996 (relying on hypothetical protein NC_007795.1:516850-517419). Conclusion This analysis suggests that codon bias in S. aureus is a source of genetic adaptation that can be used to separate strains by geographical isolation source, and separate S. aureus sensu stricto from other S. aureus complex members. Disclosures Nicholas Bedard, MD, Stryker: Advisor/Consultant Robin Patel, MD, a patent on Bordetella pertussis/parapertussis PCR issued, a patent on a device/method for sonication, a patent on PET imaging of bacterial infection: a patent on Bordetella pertussis/parapertussis PCR issued, a patent on a device/method for sonication, a patent on PET imaging of bacterial infection|MicuRx Pharmaceuticals and bioMérieux: Grant/Research Support|PhAST, Day Zero Diagnostics, DEEPULL DIAGNOSTICS, S.L., Nostics, HealthTrackRx, bioMérieux and CARB-X: Advisor/Consultant|Up-to-Date and the Infectious Diseases Board Review Course: Honoraria

ABSTRACT Periprosthetic joint infection (PJI) is the most common and difficult to treat form of arthroplasty failure. While treatment with debridement, antibiotics, and implant retention (DAIR) is preferable to one- or two-stage implant exchange based on morbidity and cost, outcomes are not successful in all cases selected for this management strategy. DAIR is currently recommended when infection is perceived to be in an “acute” phase, based on symptom duration; despite this selection strategy, DAIR failure rates are high. A more objective means of predicting DAIR success could improve patient outcomes by limiting DAIR failures. To explore this possibility, advanced proteomic analysis of sonicate fluid samples from 95 subjects with PJI was performed using proximity extension assay (PEA), with 77 samples additionally undergoing complementary proteomics analysis with liquid chromatography with tandem mass spectrometry (LC-MS/MS). Sparse partial least squares differentiation analysis (sPLS-DA) separated samples from patients who underwent DAIR with known outcomes ( n = 19) into successful or unsuccessful groups, predicting DAIR surgical outcome (area under the curve [AUC]: 1; mean “leave one out” AUC: 0.6). Proteins predictive of DAIR surgical outcome were significantly enriched for the “protein repair” Gene Ontology (GO) pathway ( P -adj = 0.02). Additionally, proteomic signatures associated with symptom duration in PJI categorized samples into short and long symptom duration PJI. In summary, an investigation of 7,261 unique human proteins separated PJI-associated samples based on symptom duration and identified a proteomic profile predictive of DAIR success. IMPORTANCE Chronic infections are generally understood to last months to years, with acute infections lasting days to weeks. The transition from acute to chronic infection is, however, poorly understood. Periprosthetic joint infection (PJI) has been considered more challenging to treat when “chronic” than when “acute.” A surgery preferred for its recovery time and cost—debridement, antibiotics, and implant retention (DAIR)—is recommended for PJI management when symptom duration is short; yet, even in this select patient group, DAIR is associated with a high treatment failure rate. A means to better identify those predicted to have a successful outcome if they undergo DAIR is needed. Here, over 7,000 proteins from human clinical PJI samples were measured and shown to be able to separate samples based on symptom duration. Importantly, a proteomic profile predictive of DAIR success was identified.