Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/34004
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dc.contributor.authorHiggs, Charlie-
dc.contributor.authorKumar, Lamali Sadeesh-
dc.contributor.authorStevens, Kerrie-
dc.contributor.authorStrachan, Janet-
dc.contributor.authorKorman, Tony-
dc.contributor.authorHoran, Kristy-
dc.contributor.authorDaniel, Diane-
dc.contributor.authorRussell, Madeline-
dc.contributor.authorMcDevitt, Christopher A-
dc.contributor.authorSherry, Norelle L-
dc.contributor.authorStinear, Timothy P-
dc.contributor.authorHowden, Benjamin P-
dc.contributor.authorGorrie, Claire L-
dc.date2023-
dc.date.accessioned2023-10-18T03:29:34Z-
dc.date.available2023-10-18T03:29:34Z-
dc.date.issued2023-11-15-
dc.identifier.citationAntimicrobial Agents and Chemotherapy 2023-11-15; 67(11)en_US
dc.identifier.issn1098-6596-
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/34004-
dc.description.abstractStreptococcus pneumoniae is a major human pathogen with a high burden of disease. Non-invasive isolates (those found in non-sterile sites) are thought to be a key source of invasive isolates (those found in sterile sites) and a reservoir of anti-microbial resistance (AMR) determinants. Despite this, pneumococcal surveillance has almost exclusively focused on invasive isolates. We aimed to compare contemporaneous invasive and non-invasive isolate populations to understand how they interact and identify differences in AMR gene distribution. We used a combination of whole-genome sequencing and phenotypic anti-microbial susceptibility testing and a data set of invasive (n = 1,288) and non-invasive (n = 186) pneumococcal isolates, collected in Victoria, Australia, between 2018 and 2022. The non-invasive population had increased levels of antibiotic resistance to multiple classes of antibiotics including beta-lactam antibiotics penicillin and ceftriaxone. We identified genomic intersections between the invasive and non-invasive populations and no distinct phylogenetic clustering of the two populations. However, this analysis revealed sub-populations overrepresented in each population. The sub-populations that had high levels of AMR were overrepresented in the non-invasive population. We determined that WamR-Pneumo was the most accurate in silico tool for predicting resistance to the antibiotics tested. This tool was then used to assess the allelic diversity of the penicillin-binding protein genes, which acquire mutations leading to beta-lactam antibiotic resistance, and found that they were highly conserved (≥80% shared) between the two populations. These findings show the potential of non-invasive isolates to serve as reservoirs of AMR determinants.en_US
dc.language.isoeng-
dc.subjectStreptococcus pneumoniaeen_US
dc.subjectantibiotic resistanceen_US
dc.subjectgenomicsen_US
dc.titleComparison of contemporary invasive and non-invasive Streptococcus pneumoniae isolates reveals new insights into circulating anti-microbial resistance determinants.en_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleAntimicrobial Agents and Chemotherapyen_US
dc.identifier.affiliationDepartment of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity , Melbourne, Victoria, Australia.en_US
dc.identifier.affiliationMicrobiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity , Melbourne, Victoria, Australia.en_US
dc.identifier.affiliationCommunicable Diseases Branch, Department of Health , Victoria, Australia.en_US
dc.identifier.affiliationDepartment of Microbiology, Monash Health , Clayton, Victoria, Australia.en_US
dc.identifier.affiliationMicrobiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity , Melbourne, Victoria, Australia.en_US
dc.identifier.affiliationInfectious Diseasesen_US
dc.identifier.affiliationCentre for Pathogen Genomics, University of Melbourne , Melbourne, Victoria, Australia.en_US
dc.identifier.affiliationMicrobiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity , Melbourne, Victoria, Australia.;Department of Infectious Diseases, Austin Health , Heidelberg, Victoria, Australia.;Centre for Pathogen Genomics, University of Melbourne , Melbourne, Victoria, Australia.en_US
dc.identifier.affiliationDepartment of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity , Melbourne, Victoria, Australia.;Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity , Melbourne, Victoria, Australia.;Centre for Pathogen Genomics, University of Melbourne , Melbourne, Victoria, Australia.en_US
dc.identifier.doi10.1128/aac.00785-23en_US
dc.type.contentTexten_US
dc.identifier.orcid0000-0001-7364-7380en_US
dc.identifier.orcid0000-0002-6155-8353en_US
dc.identifier.orcid0000-0003-1596-4841en_US
dc.identifier.orcid0000-0003-0150-123Xen_US
dc.identifier.orcid0000-0003-0237-1473en_US
dc.identifier.pubmedid37823632-
dc.description.startpagee0078523-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeJournal Article-
crisitem.author.deptInfectious Diseases-
crisitem.author.deptInfectious Diseases-
crisitem.author.deptMicrobiology-
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