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Shepherd MJ, Fu T, Harrington NE, Kottara A, Cagney K, Chalmers JD, Paterson S, Fothergill JL, Brockhurst MA. Ecological and evolutionary mechanisms driving within-patient emergence of antimicrobial resistance. Nat Rev Microbiol 2024:10.1038/s41579-024-01041-1. [PMID: 38689039 DOI: 10.1038/s41579-024-01041-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/13/2024] [Indexed: 05/02/2024]
Abstract
The ecological and evolutionary mechanisms of antimicrobial resistance (AMR) emergence within patients and how these vary across bacterial infections are poorly understood. Increasingly widespread use of pathogen genome sequencing in the clinic enables a deeper understanding of these processes. In this Review, we explore the clinical evidence to support four major mechanisms of within-patient AMR emergence in bacteria: spontaneous resistance mutations; in situ horizontal gene transfer of resistance genes; selection of pre-existing resistance; and immigration of resistant lineages. Within-patient AMR emergence occurs across a wide range of host niches and bacterial species, but the importance of each mechanism varies between bacterial species and infection sites within the body. We identify potential drivers of such differences and discuss how ecological and evolutionary analysis could be embedded within clinical trials of antimicrobials, which are powerful but underused tools for understanding why these mechanisms vary between pathogens, infections and individuals. Ultimately, improving understanding of how host niche, bacterial species and antibiotic mode of action combine to govern the ecological and evolutionary mechanism of AMR emergence in patients will enable more predictive and personalized diagnosis and antimicrobial therapies.
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Affiliation(s)
- Matthew J Shepherd
- Division of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, UK.
| | - Taoran Fu
- Division of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, UK
| | - Niamh E Harrington
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Anastasia Kottara
- Division of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, UK
| | - Kendall Cagney
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - James D Chalmers
- Division of Molecular and Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - Steve Paterson
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Joanne L Fothergill
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Michael A Brockhurst
- Division of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, UK.
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2
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Weigert Muñoz A, Zhao W, Sieber SA. Monitoring host-pathogen interactions using chemical proteomics. RSC Chem Biol 2024; 5:73-89. [PMID: 38333198 PMCID: PMC10849124 DOI: 10.1039/d3cb00135k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 11/09/2023] [Indexed: 02/10/2024] Open
Abstract
With the rapid emergence and the dissemination of microbial resistance to conventional chemotherapy, the shortage of novel antimicrobial drugs has raised a global health threat. As molecular interactions between microbial pathogens and their mammalian hosts are crucial to establish virulence, pathogenicity, and infectivity, a detailed understanding of these interactions has the potential to reveal novel therapeutic targets and treatment strategies. Bidirectional molecular communication between microbes and eukaryotes is essential for both pathogenic and commensal organisms to colonise their host. In particular, several devastating pathogens exploit host signalling to adjust the expression of energetically costly virulent behaviours. Chemical proteomics has emerged as a powerful tool to interrogate the protein interaction partners of small molecules and has been successfully applied to advance host-pathogen communication studies. Here, we present recent significant progress made by this approach and provide a perspective for future studies.
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Affiliation(s)
- Angela Weigert Muñoz
- Center for Functional Protein Assemblies, Department of Bioscience, TUM School of Natural Sciences, Technical University of Munich Ernst-Otto-Fischer-Straße 8 D-85748 Garching Germany
| | - Weining Zhao
- College of Pharmacy, Shenzhen Technology University Shenzhen 518118 China
| | - Stephan A Sieber
- Center for Functional Protein Assemblies, Department of Bioscience, TUM School of Natural Sciences, Technical University of Munich Ernst-Otto-Fischer-Straße 8 D-85748 Garching Germany
- Helmholtz Institute for Pharmaceutical Research Saarland (HIPS) Germany
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3
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Jensen PØ, Olsen P, Dungu AM, Egelund GB, Jensen AV, Ravn P, Lindegaard B, Hertz FB, Bjarnsholt T, Faurholt-Jepsen D, Kolpen M. Bacterial aerobic respiration is a major consumer of oxygen in sputum from patients with acute lower respiratory tract infection. APMIS 2024. [PMID: 38284501 DOI: 10.1111/apm.13381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 01/15/2024] [Indexed: 01/30/2024]
Abstract
Bacterial aerobic respiration may determine the outcome of antibiotic treatment in experimental settings, but the clinical relevance of bacterial aerobic respiration for the outcome of antibiotic treatment has not been tested. Therefore, we hypothesized that bacterial aerobic respiration is higher in sputum from patients with acute lower respiratory tract infections (aLRTI), than in sputum from patients with chronic LRTI (cLRTI), where the bacteria persist despite antibiotic treatment. The bacterial aerobic respiration was determined according to the dynamics of the oxygen (O2 ) concentration in sputum from aLRTI patients (n = 52). This result was evaluated by comparison to previously published data from patients with cLRTI. O2 consumption resulting in anoxic zones was more frequent in sputum with detected bacterial pathogens. The bacterial aerobic respiration in aLRTI sputum approximated 55% of the total O2 consumption, which was significantly higher than previously published for cLRTI. The bacterial aerobic respiration in sputum was higher in aLRTI patients than previously seen in cLRTI patients, indicating the presence of bacteria with a sensitive physiology in aLRTI. These variations in bacterial physiology between aLRTI patients and cLRTI patients may contribute the huge difference in treatment success between the two patient groups.
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Affiliation(s)
- Peter Østrup Jensen
- Department of Clinical Microbiology, Rigshospitalet, Copenhagen, Denmark
- Costerton Biofilm Center, Institute of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Institute for Inflammation Research, Center for Rheumatology and Spine Diseases, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Pernille Olsen
- Department of Clinical Microbiology, Rigshospitalet, Copenhagen, Denmark
| | - Arnold Matovu Dungu
- Department of Pulmonary and Infectious Diseases, Copenhagen University Hospital - North Zealand, Hillerød, Denmark
| | - Gertrud Baunbaek Egelund
- Department of Pulmonary and Infectious Diseases, Copenhagen University Hospital - North Zealand, Hillerød, Denmark
| | - Andreas Vestergaard Jensen
- Department of Pulmonary and Infectious Diseases, Copenhagen University Hospital - North Zealand, Hillerød, Denmark
| | - Pernille Ravn
- Department of Medicine Section for Infectious Diseases, Herlev- Gentofte University Hospital, Hellerup, Denmark
| | - Birgitte Lindegaard
- Department of Pulmonary and Infectious Diseases, Copenhagen University Hospital - North Zealand, Hillerød, Denmark
| | | | - Thomas Bjarnsholt
- Department of Clinical Microbiology, Rigshospitalet, Copenhagen, Denmark
- Costerton Biofilm Center, Institute of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Mette Kolpen
- Department of Clinical Microbiology, Rigshospitalet, Copenhagen, Denmark
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4
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Dekker JP. Within-Host Evolution of Bacterial Pathogens in Acute and Chronic Infection. ANNUAL REVIEW OF PATHOLOGY 2024; 19:203-226. [PMID: 37832940 DOI: 10.1146/annurev-pathmechdis-051122-111408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/15/2023]
Abstract
Bacterial pathogens undergo remarkable adaptive change in response to the selective forces they encounter during host colonization and infection. Studies performed over the past few decades have demonstrated that many general evolutionary processes can be discerned during the course of host adaptation, including genetic diversification of lineages, clonal succession events, convergent evolution, and balanced fitness trade-offs. In some cases, elevated mutation rates resulting from mismatch repair or proofreading deficiencies accelerate evolution, and active mobile genetic elements or phages may facilitate genome plasticity. The host immune response provides another critical component of the fitness landscapes guiding adaptation, and selection operating on pathogens at this level may lead to immune evasion and the establishment of chronic infection. This review summarizes recent advances in this field, with a special focus on different forms of bacterial genome plasticity in the context of infection, and considers clinical consequences of adaptive changes for the host.
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Affiliation(s)
- John P Dekker
- Bacterial Pathogenesis and Antimicrobial Resistance Unit, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA;
- National Institutes of Health Clinical Center, National Institutes of Health, Bethesda, Maryland, USA
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Xia Q, Jiang H, Liu X, Yin L, Wang X. Advances in Engineered Nano-Biosensors for Bacteria Diagnosis and Multidrug Resistance Inhibition. BIOSENSORS 2024; 14:59. [PMID: 38391978 PMCID: PMC10887026 DOI: 10.3390/bios14020059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 01/14/2024] [Accepted: 01/17/2024] [Indexed: 02/24/2024]
Abstract
Bacterial infections continue to pose a significant global health challenge, with the emergence of multidrug-resistant (MDR) bacteria and biofilms further complicating treatment options. The rise of pan-resistant bacteria, coupled with the slow development of new antibiotics, highlights the urgent need for new therapeutic strategies. Nanotechnology-based biosensors offer fast, specific, sensitive, and selective methods for detecting and treating bacteria; hence, it is a promising approach for the diagnosis and treatment of MDR bacteria. Through mechanisms, such as destructive bacterial cell membranes, suppression of efflux pumps, and generation of reactive oxygen species, nanotechnology effectively combats bacterial resistance and biofilms. Nano-biosensors and related technology have demonstrated their importance in bacteria diagnosis and treatment, providing innovative ideas for MDR inhibition. This review focuses on multiple nanotechnology approaches in targeting MDR bacteria and eliminating antimicrobial biofilms, highlighting nano-biosensors via photodynamics-based biosensors, eletrochemistry biosensors, acoustic-dynamics sensors, and so on. Furthermore, the major challenges, opportunities of multi-physical-field biometrics-based biosensors, and relevant nanotechnology in MDR bacterial theranostics are also discussed. Overall, this review provides insights and scientific references to harness the comprehensive and diverse capabilities of nano-biosensors for precise bacteria theranostics and MDR inhibition.
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Affiliation(s)
- Qingxiu Xia
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China;
| | - Hui Jiang
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China (X.L.)
| | - Xiaohui Liu
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China (X.L.)
| | - Lihong Yin
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China;
| | - Xuemei Wang
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China (X.L.)
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Carson J, Keeling M, Wyllie D, Ribeca P, Didelot X. Inference of Infectious Disease Transmission through a Relaxed Bottleneck Using Multiple Genomes Per Host. Mol Biol Evol 2024; 41:msad288. [PMID: 38168711 PMCID: PMC10798190 DOI: 10.1093/molbev/msad288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 12/21/2023] [Accepted: 12/29/2023] [Indexed: 01/05/2024] Open
Abstract
In recent times, pathogen genome sequencing has become increasingly used to investigate infectious disease outbreaks. When genomic data is sampled densely enough amongst infected individuals, it can help resolve who infected whom. However, transmission analysis cannot rely solely on a phylogeny of the genomes but must account for the within-host evolution of the pathogen, which blurs the relationship between phylogenetic and transmission trees. When only a single genome is sampled for each host, the uncertainty about who infected whom can be quite high. Consequently, transmission analysis based on multiple genomes of the same pathogen per host has a clear potential for delivering more precise results, even though it is more laborious to achieve. Here, we present a new methodology that can use any number of genomes sampled from a set of individuals to reconstruct their transmission network. Furthermore, we remove the need for the assumption of a complete transmission bottleneck. We use simulated data to show that our method becomes more accurate as more genomes per host are provided, and that it can infer key infectious disease parameters such as the size of the transmission bottleneck, within-host growth rate, basic reproduction number, and sampling fraction. We demonstrate the usefulness of our method in applications to real datasets from an outbreak of Pseudomonas aeruginosa amongst cystic fibrosis patients and a nosocomial outbreak of Klebsiella pneumoniae.
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Affiliation(s)
- Jake Carson
- Mathematics Institute, University of Warwick, Coventry CV4 7AL, UK
- School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK
- Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry CV4 7AL, UK
| | - Matt Keeling
- Mathematics Institute, University of Warwick, Coventry CV4 7AL, UK
- School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK
- Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry CV4 7AL, UK
| | | | | | - Xavier Didelot
- School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK
- Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry CV4 7AL, UK
- Department of Statistics, University of Warwick, Coventry CV4 7AL, UK
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Charron P, Gao R, Chmara J, Hoover E, Nadin-Davis S, Chauvin D, Hazelwood J, Makondo K, Duceppe MO, Kang M. Influence of genomic variations on glanders serodiagnostic antigens using integrative genomic and transcriptomic approaches. Front Vet Sci 2023; 10:1217135. [PMID: 38125681 PMCID: PMC10730941 DOI: 10.3389/fvets.2023.1217135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 11/20/2023] [Indexed: 12/23/2023] Open
Abstract
Glanders is a highly contagious and life-threatening zoonotic disease caused by Burkholderia mallei (B. mallei). Without an effective vaccine or treatment, early diagnosis has been regarded as the most effective method to prevent glanders transmission. Currently, the diagnosis of glanders is heavily reliant on serological tests. However, given that markedly different host immune responses can be elicited by genetically different strains of the same bacterial species, infection by B. mallei, whose genome is unstable and plastic, may result in various immune responses. This variability can make the serodiagnosis of glanders challenging. Therefore, there is a need for a comprehensive understanding and assessment of how B. mallei genomic variations impact the appropriateness of specific target antigens for glanders serodiagnosis. In this study, we investigated how genomic variations in the B. mallei genome affect gene content (gene presence/absence) and expression, with a special focus on antigens used or potentially used in serodiagnosis. In all the genome sequences of B. mallei isolates available in NCBI's RefSeq database (accessed in July 2023) and in-house sequenced samples, extensive small and large variations were observed when compared to the type strain ATCC 23344. Further pan-genome analysis of those assemblies revealed variations of gene content among all available genomes of B. mallei. Specifically, differences in gene content ranging from 31 to 715 genes with an average of 334 gene presence-absence variations were found in strains with complete or chromosome-level genome assemblies, using the ATCC 23344 strain as a reference. The affected genes included some encoded proteins used as serodiagnostic antigens, which were lost due mainly to structural variations. Additionally, a transcriptomic analysis was performed using the type strain ATCC 23344 and strain Zagreb which has been widely utilized to produce glanders antigens. In total, 388 significant differentially expressed genes were identified between these two strains, including genes related to bacterial pathogenesis and virulence, some of which were associated with genomic variations, particularly structural variations. To our knowledge, this is the first comprehensive study to uncover the impacts of genetic variations of B. mallei on its gene content and expression. These differences would have significant impacts on host innate and adaptive immunity, including antibody production, during infection. This study provides novel insights into B. mallei genetic variants, knowledge which will help to improve glanders serodiagnosis.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Mingsong Kang
- Ottawa Laboratory-Fallowfield, Canadian Food Inspection Agency, Ottawa, ON, Canada
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Veschetti L, Treccani M, De Tomi E, Malerba G. Genomic Instability Evolutionary Footprints on Human Health: Driving Forces or Side Effects? Int J Mol Sci 2023; 24:11437. [PMID: 37511197 PMCID: PMC10380557 DOI: 10.3390/ijms241411437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 06/30/2023] [Accepted: 07/13/2023] [Indexed: 07/30/2023] Open
Abstract
In this work, we propose a comprehensive perspective on genomic instability comprising not only the accumulation of mutations but also telomeric shortening, epigenetic alterations and other mechanisms that could contribute to genomic information conservation or corruption. First, we present mechanisms playing a role in genomic instability across the kingdoms of life. Then, we explore the impact of genomic instability on the human being across its evolutionary history and on present-day human health, with a particular focus on aging and complex disorders. Finally, we discuss the role of non-coding RNAs, highlighting future approaches for a better living and an expanded healthy lifespan.
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Affiliation(s)
| | | | | | - Giovanni Malerba
- GM Lab, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37134 Verona, Italy; (L.V.); (M.T.); (E.D.T.)
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Zhou Z, Gu J, Wang Y. Editorial: Evolutionary mechanisms of infectious diseases, volume II. Front Microbiol 2023; 14:1192566. [PMID: 37077239 PMCID: PMC10106751 DOI: 10.3389/fmicb.2023.1192566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 03/24/2023] [Indexed: 04/05/2023] Open
Affiliation(s)
- Zhan Zhou
- Institute of Drug Metabolism and Pharmaceutical Analysis, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, China
- *Correspondence: Zhan Zhou
| | - Jianying Gu
- Department of Biology, College of Staten Island, City University of New York, Staten Island, New York, NY, United States
- Jianying Gu
| | - Yufeng Wang
- Department of Molecular Microbiology Immunology, South Texas Center for Emerging Infectious Diseases, University of Texas at San Antonio, San Antonio, TX, United States
- Yufeng Wang
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Schindler Y, Rahav G, Nissan I, Treygerman O, Prajgrod G, Attia BZ, Raz R, Valenci GZ, Tekes-Manova D, Maor Y. Group B streptococcus virulence factors associated with different clinical syndromes: Asymptomatic carriage in pregnant women and early-onset disease in the newborn. Front Microbiol 2023; 14:1093288. [PMID: 36860481 PMCID: PMC9968972 DOI: 10.3389/fmicb.2023.1093288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 01/23/2023] [Indexed: 02/15/2023] Open
Abstract
Background Group B streptococcus (GBS) harbors many virulence factors but there is limited data regarding their importance in colonization in pregnancy and early-onset disease (EOD) in the newborn. We hypothesized that colonization and EOD are associated with different distribution and expression of virulence factors. Methods We studied 36 GBS EOD and 234 GBS isolates collected during routine screening. Virulence genes (pilus-like structures-PI-1, PI-2a, PI-2b; rib and hvgA) presence and expression were identified by PCR and qRT-PCR. Whole genome sequencing (WGS) and comparative genomic analyses were used to compare coding sequences (CDSs) of colonizing and EOD isolates. Results Serotype III (ST17) was significantly associated with EOD and serotype VI (ST1) with colonization. hvgA and rib genes were more prevalent among EOD isolates (58.3 and 77.8%, respectively; p < 0.01). The pilus loci PI-2b and PI-2a were more prevalent among EOD isolates (61.1%, p < 0.01), while the pilus loci PI-2a and PI-1 among colonizing isolates (89.7 and 93.1% vs. 55.6 and 69.4%, p < 0.01). qRT PCR analysis revealed that hvgA was barely expressed in colonizing isolates, even though the gene was detected. Expression of the rib gene and PI-2b was two-fold higher in EOD isolates compared to colonizing isolates. Transcription of PI-2a was three-fold higher in colonizing isolates compared to EOD isolates. ST17 isolates (associated with EOD) had a smaller genome size compared ST1 and the genome was more conserved relative to the reference strain and ST17 isolates. In a multivariate logistic regression analysis virulence factors independently associated with EOD were serotype 3, and PI-1 and PI-2a was protective. Conclusion There was a significant difference in the distribution of hvg A, rib, and PI genes among EOD (serotype III/ST17) and colonizing (serotype VI/ST1) isolates suggesting an association between invasive disease and these virulence factors. Further study is needed to understand the contribution of these genes to GBS virulence.
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Affiliation(s)
- Yulia Schindler
- Laboratory of Microbiology, Mayanei Hayeshua Medical Center, Bnei Brak, Israel,Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Galia Rahav
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel,Infectious Disease Unit, Sheba Medical Center, Tel HaShomer, Israel
| | - Israel Nissan
- Infectious Disease Unit, Sheba Medical Center, Tel HaShomer, Israel,National Public Health Laboratory, Ministry of Health, Tel Aviv, Israel
| | - Orit Treygerman
- Laboratory of Microbiology, Meuhedet Health Maintenance Organization, Lod, Israel
| | - George Prajgrod
- Laboratory of Microbiology, Meuhedet Health Maintenance Organization, Lod, Israel
| | | | - Ronit Raz
- Laboratory of Microbiology, Mayanei Hayeshua Medical Center, Bnei Brak, Israel
| | | | - Dorit Tekes-Manova
- Laboratory of Microbiology, Mayanei Hayeshua Medical Center, Bnei Brak, Israel
| | - Yasmin Maor
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel,Infectious Disease Unit, Wolfson Medical Center, Holon, Israel,*Correspondence: Yasmin Maor, ,
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Hall LJ, Schirmer M. Editorial overview: current state and future of the microbiome field: why context matters. Curr Opin Microbiol 2022; 70:102200. [PMID: 36081215 DOI: 10.1016/j.mib.2022.102200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Affiliation(s)
- Lindsay J Hall
- Quadram Institute Bioscience, Norwich Research Park; Norwich NR4 7UQ; UK; Intestinal Microbiome, School of Life Sciences, ZIEL-Institute for Food & Health; Technical University of Munich, Freising, Bavaria 85354, Germany; Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, United Kingdom.
| | - Melanie Schirmer
- Emmy Noether Group for Computational Microbiome Research, ZIEL-Institute for Food & Health, Technical University of Munich, 85354 Freising, Bavaria, Germany.
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