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Odih EE, Sunmonu GT, Okeke IN, Dalsgaard A. NDM-1- and OXA-23-producing Acinetobacter baumannii in wastewater of a Nigerian hospital. Microbiol Spectr 2023; 11:e0238123. [PMID: 37796014 PMCID: PMC10714947 DOI: 10.1128/spectrum.02381-23] [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: 07/05/2023] [Accepted: 08/22/2023] [Indexed: 10/06/2023] Open
Abstract
IMPORTANCE Acinetobacter baumannii is a leading cause of hospital-associated infections globally. A. baumannii reservoirs outside hospital settings are still unknown, and their occurrence in the environment is linked to clinical and anthropogenic activities. Although the risk of transmission of A. baumannii from environmental sources to humans is not fully understood, these sources pose significant risks for the continued dissemination of A. baumannii and their resistance traits. This study provides evidence that diverse and clinically relevant A. baumannii strains, many of which are resistant to carbapenems, are constantly being discharged into the environment through inadequately treated hospital wastewater. We further elucidate potential transmission routes between the environment and clinical infections and demonstrate the high prevalence of carbapenem resistance genes on highly mobile transposons among these strains. Our findings highlight the pressing need to address hospital wastewater as a crucial factor in curtailing the spread of carbapenem-resistant A. baumannii.
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Affiliation(s)
- Erkison Ewomazino Odih
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Global Health Research Unit for the Genomic Surveillance of Antimicrobial Resistance, Department of Pharmaceutical Microbiology, Faculty of Pharmacy, University of Ibadan, Ibadan, Oyo State, Nigeria
| | - Gabriel Temitope Sunmonu
- Global Health Research Unit for the Genomic Surveillance of Antimicrobial Resistance, Department of Pharmaceutical Microbiology, Faculty of Pharmacy, University of Ibadan, Ibadan, Oyo State, Nigeria
| | - Iruka N. Okeke
- Global Health Research Unit for the Genomic Surveillance of Antimicrobial Resistance, Department of Pharmaceutical Microbiology, Faculty of Pharmacy, University of Ibadan, Ibadan, Oyo State, Nigeria
| | - Anders Dalsgaard
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Calland JK, Haukka K, Kpordze SW, Brusah A, Corbella M, Merla C, Samuelsen Ø, Feil EJ, Sassera D, Karikari AB, Saba CKS, Thorpe HA, Corander J. Population structure and antimicrobial resistance among Klebsiella isolates sampled from human, animal, and environmental sources in Ghana: a cross-sectional genomic One Health study. THE LANCET. MICROBE 2023; 4:e943-e952. [PMID: 37858320 DOI: 10.1016/s2666-5247(23)00208-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 06/22/2023] [Accepted: 06/26/2023] [Indexed: 10/21/2023]
Abstract
BACKGROUND One Health approaches to address the increasing threat of antimicrobial resistance (AMR) are gaining attention. However, data on the distribution and movement of bacteria and their AMR-associated genes between clinical and non-clinical sources are scarce, especially from low-income and middle-income countries. We aimed to analyse Klebsiella isolates from various sources in Ghana and compare the prevalence of AMR with datasets from two other countries. METHODS We conducted a cross-sectional genomic One Health study. Multiple clinical, environmental, and animal sources were sampled from 78 locations (eg, hospitals, residential areas, and farms) in and around Tamale, Ghana. Clinical samples were collected through routine screening and in cases of suspected infection between March 15 and Sept 15, 2019, and samples from the wider environment were collected during a dedicated sampling effort between the dates of Aug 19, 2018, and Sept 26, 2019. Sampling locations were approximately evenly distributed from the centre of the city and steadily outwards to capture both rural and urban locations. Samples with positive growth for Klebsiella were included. Isolates of Klebsiella were obtained from the samples using Simmons citrate agar medium and characterised by antimicrobial susceptibility testing and whole-genome sequencing. A comparative analysis with Klebsiella population surveys from Pavia, Italy, and Tromsø, Norway, was performed. AMR-associated and virulence genes were detected, and the population distribution of these genes was studied. FINDINGS Of 957 samples collected around Tamale, Ghana, 620 were positive for Klebsiella spp. 573 Klebsiella isolates were successfully sequenced, of which 370 were Klebsiella pneumoniae. Only two hospital isolates were carbapenem-resistant. Extended-spectrum β-lactamase (ESBL) genes were relatively common among the Ghanaian clinical isolates but rare in the environmental samples. Prevalence of ESBL genes in human-hospital disease samples was 64% (14 of 22 isolates) in Ghana and 44% (four of nine isolates) in Italy, and prevalence in human-hospital carriage samples was 7% (eight of 107) in Ghana and 13% (54 of 428) in Italy; the prevalence was higher in human-hospital disease samples than in human-hospital carriage samples in both countries, and prevalence across both samples in both countries was higher than in Norway. Ghanaian isolates showed evidence of high recombination rates (recombination events compared with point mutations [r/m] 9·455) and a considerable accessory gene overlap with isolates from Italy and Norway. INTERPRETATION Although several AMR-associated gene classes were observed relatively frequently in non-clinical sources, ESBL, carbapenemase, and virulence genes were predominantly present only in hospital samples. These results suggest that interventions should be focused on clinical settings to have the greatest effect on the prevalence and dissemination of AMR-associated genes. FUNDING European Research Council (742158), Academy of Finland EuroHPC grant, Trond Mohn Foundation (BATTALION grant), and Wellcome Trust.
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Affiliation(s)
- Jessica K Calland
- Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway.
| | - Kaisa Haukka
- Department of Microbiology, University of Helsinki, Helsinki, Finland
| | - Stephen W Kpordze
- Department of Biotechnology, University for Development Studies, Tamale, Ghana
| | - Atanyiwoen Brusah
- Department of Biotechnology, University for Development Studies, Tamale, Ghana
| | - Marta Corbella
- Struttura Operativa Complessa di Microbiologia e Virologia, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Cristina Merla
- Struttura Operativa Complessa di Microbiologia e Virologia, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Ørjan Samuelsen
- Norwegian National Advisory Unit on Detection of Antimicrobial Resistance, Department of Microbiology and Infection Control, University Hospital of North Norway, Tromsø, Norway; Department of Pharmacy, UiT The Arctic University of Norway, Tromsø, Norway
| | - Edward J Feil
- Milner Centre for Evolution, University of Bath, Bath, UK
| | - Davide Sassera
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Akosua B Karikari
- Department of Clinical Microbiology, University for Development Studies, Tamale, Ghana
| | - Courage K S Saba
- Department of Microbiology, Faculty of Biosciences, University for Development Studies, Tamale, Ghana
| | - Harry A Thorpe
- Oslo Centre for Biostatistics and Epidemiology, University of Oslo, Oslo, Norway
| | - Jukka Corander
- Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland; Oslo Centre for Biostatistics and Epidemiology, University of Oslo, Oslo, Norway; Parasites and Microbes, Wellcome Sanger Institute, Cambridge, UK
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Holt KE, Aanensen DM, Achtman M. Genomic population structures of microbial pathogens. Philos Trans R Soc Lond B Biol Sci 2022; 377:20210230. [PMID: 35989608 PMCID: PMC9393556 DOI: 10.1098/rstb.2021.0230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 06/28/2022] [Indexed: 11/12/2022] Open
Affiliation(s)
- Kathryn E. Holt
- Department of Infection Biology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | | | - Mark Achtman
- Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK
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Zaharias P, Warnow T. Recent progress on methods for estimating and updating large phylogenies. Philos Trans R Soc Lond B Biol Sci 2022; 377:20210244. [PMID: 35989607 PMCID: PMC9393559 DOI: 10.1098/rstb.2021.0244] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 01/07/2022] [Indexed: 12/20/2022] Open
Abstract
With the increased availability of sequence data and even of fully sequenced and assembled genomes, phylogeny estimation of very large trees (even of hundreds of thousands of sequences) is now a goal for some biologists. Yet, the construction of these phylogenies is a complex pipeline presenting analytical and computational challenges, especially when the number of sequences is very large. In the past few years, new methods have been developed that aim to enable highly accurate phylogeny estimations on these large datasets, including divide-and-conquer techniques for multiple sequence alignment and/or tree estimation, methods that can estimate species trees from multi-locus datasets while addressing heterogeneity due to biological processes (e.g. incomplete lineage sorting and gene duplication and loss), and methods to add sequences into large gene trees or species trees. Here we present some of these recent advances and discuss opportunities for future improvements. This article is part of a discussion meeting issue 'Genomic population structures of microbial pathogens'.
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Affiliation(s)
- Paul Zaharias
- Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA
| | - Tandy Warnow
- Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA
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