Biology subjects

Giulieri, S.

Publications and source records attributed to Giulieri, S..

6 recordsLinked to original sources

bioRxiv2026

Loss of GdpP function in Staphylococcus aureus confers β-lactam-specific antibiotic tolerance and promotes invasive infection

The emergence of antibiotic tolerance in Staphylococcus aureus reduces antibiotic efficacy by allowing bacterial survival despite prolonged antibiotic exposure, the molecular basis of which remains poorly understood. Moreover, the phenotypic indistinguishability of tolerant isolates in antimicrobial susceptibility testing impedes effective diagnosis and therapy. Increased concentration of the second-messenger, cyclic-di-AMP (CDA), has recently been implicated in tolerance to {beta}-lactams as well as other cell-wall-reactive antibiotics. Using the ScanLag assay, Tolerance-Disk test, and traditional methodologies and employing isogenic mutagenized strains, we demonstrate that loss of GdpP function, a phosphodiesterase that hydrolyzes CDA, confers tolerance specifically to {beta}-lactam antibiotics independent of their class. The extent of {beta}-lactam tolerance correlated directly with the intracellular CDA concentration and inversely with the inhibition of bacterial cell-wall synthesis. {Delta}gdpP mutants caused higher mortality than wild-type strains in the Galleria mellonella infection model upon {beta}-lactam treatment, suggesting GdpP-mediated tolerance could lead to {beta}-lactam treatment failure. Large-scale within-host evolution analysis demonstrated that MRSA and MSSA strains isolated from patients acquire GdpP loss-of-function mutations during invasive infections but not during nasal carriage. Overall, this study highlights the clinical relevance of gdpP mutations, frequently selected in persistent S. aureus infections, as key mediators that could promote treatment failure due to {beta}-lactam tolerance.

microbiology↗

bioRxiv2026

Antifungal resistance mechanisms and nosocomial transmission of Nakaseomyces glabratus: genomic investigation and observational study in Melbourne, Australia

Nakaseomyces glabratus (Candida glabrata) is a WHO high-priority fungal pathogen associated with fungal antimicrobial resistance (fAMR). Given nosocomial transmission occurs sporadically, resistant strains could be transmitted, a concern for critically ill patients. We conducted a genomic investigation and retrospective observational study of N. glabratus to identify any nosocomial transmission of fAMR and understand resistance mechanisms and clinical and demiological factors among patients at a quaternary hospital in Melbourne, Australia. We selected stored N. glabratus with and without fAMR associated with similar patient clinical characteristics and performed whole genome sequencing. Clinical and epidemiological data were extracted from medical records. Phylogenetic, mutational, copy-number variation (CNV) and mitochondrial genomic analyses were performed, with a focus on the fAMR gene PDR1. Of 54 isolates collected over seven years, 20 (37%) were fluconazole-resistant and four (7%) had elevated flucytosine minimum inhibitory concentrations (MICs) (range 2-32 g/ml). There were no significant clinical differences between patients with and without fluconazole resistance. Most (55%) fluconazole-resistant isolates carried PDR1 mutations. Resistance was distributed throughout the phylogeny suggesting predominantly independent acquisition. However, a cluster of four resistant isolates with the same PDR1 mutation suggested nosocomial transmission. One probable ERG11 gene duplication, and two petite variants with apparent mitochondrial genomic deletions, were seen in association with fluconazole resistance. In this study, we identified a small probable nosocomial fAMR transmission cluster, and novel variants in PDR1, ERG11 and FCY2 associated with fAMR phenotypes. Future study should confirm functional impacts and systematically investigate for nosocomial transmission of resistance, including colonisation states.

microbiology↗

bioRxiv2025

Integrated multi-omics reveals coordinated Staphylococcus aureus metabolic, iron transport and stress responses to human serum

Bloodstream infections caused by Staphylococcus aureus remain a leading cause of mortality worldwide. Our understanding of S. aureus survival and persistence in human serum, a cell-free fraction of blood hostile for bacteria, is still limited. Here, we applied multivariate data integration methods and network analysis to a multi-omic dataset generated from five clinically prevalent S. aureus genotypes exposed to human serum. We observed and then confirmed using isogenic mutants, the significant roles of gapdhB, sucA, sirA, sstD, and perR in bacterial survival in serum. These data show that metabolic versatility in carbon source usage, iron transport and resistance to oxidative stress are interlinked and central to S. aureus fitness in serum, representing potential S. aureus vulnerabilities that could be exploited therapeutically. IMPORTANCEBloodstream infections caused by Staphylococcus aureus are associated with mortality rates of up to 30%. However, the molecular mechanisms that enable this pathogen to survive in human serum, a nutrient-limited and immunologically hostile environment remain poorly understood. By integrating multi-omic data from five clinically relevant S. aureus genotypes and validating key signatures using mutants, we identified conserved genetic determinants critical for bacterial survival in serum. Our findings highlight the interconnected roles of carbohydrate metabolic flexibility, iron acquisition, and oxidative stress resistance in shaping S. aureus adaptation to serum. This work advances our understanding of microbial strategies to survive in the bloodstream and demonstrates the potential of multi-omic integration to uncover therapeutic vulnerabilities in bacterial pathogens.

microbiology↗

bioRxiv2022

All Staphylococcus aureus bacteraemia strains have the potential to cause infective endocarditis: results of GWAS and experimental animal studies

Abstract and KeywordsO_ST_ABSAimsC_ST_ABSInfective endocarditis (IE) complicates 10-20% of Staphylococcus aureus bacteraemia (SAB). We aimed to determine whether IE strains of S. aureus are genotypically different or behave differently in experimental endocarditis models as compared to non-IE SAB strains. Methods and ResultsWe conducted a genome wide association study (GWAS) of 924 S. aureus genomes from IE (274) and non-IE (650) SAB patients, and tested a subset of strains in two experimental animal models of IE, one studying the early step of bacterial adhesion to inflamed mice valves, the second evaluating the local and systemic developmental process of IE on mechanically damaged rabbit valves. The genetic profile of S. aureus IE and non-IE SAB strains did not differ when considering single nucleotide polymorphisms, coding sequences and k-mers analyses in GWASs. In the inflammation-induced IE model in mice no difference was observed between IE and non-IE SAB strains both in adhesion to the cardiac valves and in the propensity to cause IE; in the mechanical IE-induced rabbit model, there was no difference between IE and non-IE SAB strains regarding vegetation size and CFU. ConclusionS. aureus isolates from SAB patients with and without IE were indistinguishable, by GWAS and by two in vivo models of IE. Thus, S. aureus strain variation is not the primary determinant of IE. Pending the possible identification of host factors predisposing to IE, all strains of S. aureus must be considered in patients as capable of causing this common, lethal infection once they have accessed the bloodstream. Translational PerspectiveStaphylococcus aureus endocarditis (IE) is a deadly complication of S. aureus bacteraemia (SAB). Beyond well-identified host related IE risk factors, whether bacterial features may influence the occurrence of IE in the course of bacteraemia remain elusive. We analysed the genomes of 924 S. aureus strains from IE and non-IE SAB and compared some in two in vivo IE models. We demonstrated that the propensity of S. aureus to cause IE in the course of bacteraemia does not depend on the intrinsic genetic or virulence factors of S. aureus. These findings are of importance for the management of S. aureus bacteraemia.

microbiology↗

bioRxiv2018

Genomic Exploration of Within-Host Microevolution Reveals a Distinctive Molecular Signature of Persistent Staphylococcus aureus Bacteraemia

BackgroundLarge-scale genomic studies of within-host evolution during Staphylococcus aureus bacteraemia (SAB) are needed to understanding bacterial adaptation underlying persistence and thus refining the role of genomics in management of SAB. However, available comparative genomic studies of sequential SAB isolates have tended to focus on selected cases of unusually prolonged bacteraemia, where secondary antimicrobial resistance has developed. To understand the bacterial genomic evolution during SAB more broadly, we applied whole genome sequencing to a large collection of sequential isolates obtained from patients with persistent or relapsing bacteraemia.\n\nResultsWe show that, while adapation pathways are heterogenous and episode-specific, isolates from persistent bacteraemia have a distinctive molecular signature, characterised by a low mutation frequency and high proportion of non-silent mutations. By performing an extensive analysis of structural genomic variants in addition to point mutations, we found that these often overlooked genetic events are commonly acquired during SAB. We discovered that IS256 insertion may represent the most effective driver of within-host microevolution in selected lineages, with up to three new insertion events per isolate even in the absence of other mutations. Genetic mechanisms resulting in significant phenotypic changes, such as increases in vancomycin resistance, development of small colony phenotypes, and decreases in cytotoxicity, included mutations in key genes (rpoB, stp, agrA) and an IS256 insertion upstream of the walKR operon.\n\nConclusionsThis study provides for the first time a large-scale analysis of within-host evolution during invasive S. aureus infection and describes specific patterns of adaptation that will be informative for both understanding S. aureus pathoadaptation and utilising genomics for management of complicated S. aureus infections.

genomics↗

bioRxiv2018

Comprehensive antibiotic-linked mutation assessment by Resistance Mutation Sequencing (RM-seq)

Acquired mutations are a major mechanism of bacterial antibiotic resistance generation and dissemination, and can arise during treatment of infections. Early detection of sub-populations of resistant bacteria harbouring defined resistance mutations could prevent inappropriate antibiotic prescription. Here we present RM-seq, a new amplicon-based DNA sequencing workflow based on single molecule barcoding coupled with deep-sequencing that enables the high-throughput characterisation and sensitive detection of resistance mutations from complex mixed populations of bacteria. We show that RM-seq reduces both background sequencing noise and PCR amplification bias and allows highly sensitive identification and accurate quantification of antibiotic resistant sub-populations, with relative allele frequencies as low as 10-4. We applied RM-seq to identify and quantify rifampicin resistance mutations in Staphylococcus aureus using pools of 10,000 in vitro selected clones and identified a large number of previously unknown resistance-associated mutations. Targeted mutagenesis and phenotypic resistance testing was used to validate the technique and demonstrate that RM-seq can be used to link subsets of mutations with clinical resistance breakpoints at high-throughput using large pools of in vitro selected resistant clones. Differential analysis of the abundance of resistance mutations after a selection bottleneck detected antimicrobial cross-resistance and collateral sensitivity-conferring mutations. Using a mouse infection model and human clinical samples, we also demonstrate that RM-seq can be effectively applied in vivo to track complex mixed populations of S. aureus and another major human pathogen, Mycobacterium tuberculosis during infections. RM-seq is a powerful new tool to both detect and functionally characterise mutational antibiotic resistance.

genomics↗