Understanding the impact of antibiotic therapies on the respiratory tract resistome: A novel pooled-template metagenomic sequencing strategy

Determining the effects of antimicrobial therapies on airway microbiology at a population-level is essential. Such analysis allows, for example, surveillance of antibiotic-induced changes in pathogen prevalence, the emergence and spread of antibiotic resistance, and the transmission of multi-resista...

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Main Authors: Taylor, S.L., Leong, L.E.X., Mobegi, Fredrick, Choo, J.M., Burr, L.D., Wesselingh, S., Rogers, G.B.
Format: Journal Article
Language:English
Published: 2018
Subjects:
Online Access:http://purl.org/au-research/grants/nhmrc/1104000
http://hdl.handle.net/20.500.11937/80732
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author Taylor, S.L.
Leong, L.E.X.
Mobegi, Fredrick
Choo, J.M.
Burr, L.D.
Wesselingh, S.
Rogers, G.B.
author_facet Taylor, S.L.
Leong, L.E.X.
Mobegi, Fredrick
Choo, J.M.
Burr, L.D.
Wesselingh, S.
Rogers, G.B.
author_sort Taylor, S.L.
building Curtin Institutional Repository
collection Online Access
description Determining the effects of antimicrobial therapies on airway microbiology at a population-level is essential. Such analysis allows, for example, surveillance of antibiotic-induced changes in pathogen prevalence, the emergence and spread of antibiotic resistance, and the transmission of multi-resistant organisms. However, current analytical strategies for understanding these processes are limited. Culture- and PCR-based assays for specific microbes require the a priori selection of targets, while antibiotic sensitivity testing typically provides no insight into either the molecular basis of resistance, or the carriage of resistance determinants by the wider commensal microbiota. Shotgun metagenomic sequencing provides an alternative approach that allows the microbial composition of clinical samples to be described in detail, including the prevalence of resistance genes and virulence traits. While highly informative, the application of metagenomics to large patient cohorts can be prohibitively expensive. Using sputum samples from a randomised placebo-controlled trial of erythromycin in adults with bronchiectasis, we describe a novel, cost-effective strategy for screening patient cohorts for changes in resistance gene prevalence. By combining metagenomic screening of pooled DNA extracts with validatory quantitative PCR-based analysis of candidate markers in individual samples, we identify population-level changes in the relative abundance of specific macrolide resistance genes. This approach has the potential to provide an important adjunct to current analytical strategies, particularly within the context of antimicrobial clinical trials.
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spelling curtin-20.500.11937-807322021-01-07T07:46:47Z Understanding the impact of antibiotic therapies on the respiratory tract resistome: A novel pooled-template metagenomic sequencing strategy Taylor, S.L. Leong, L.E.X. Mobegi, Fredrick Choo, J.M. Burr, L.D. Wesselingh, S. Rogers, G.B. Antibiotic therapy DNA Metagenomic screening Determining the effects of antimicrobial therapies on airway microbiology at a population-level is essential. Such analysis allows, for example, surveillance of antibiotic-induced changes in pathogen prevalence, the emergence and spread of antibiotic resistance, and the transmission of multi-resistant organisms. However, current analytical strategies for understanding these processes are limited. Culture- and PCR-based assays for specific microbes require the a priori selection of targets, while antibiotic sensitivity testing typically provides no insight into either the molecular basis of resistance, or the carriage of resistance determinants by the wider commensal microbiota. Shotgun metagenomic sequencing provides an alternative approach that allows the microbial composition of clinical samples to be described in detail, including the prevalence of resistance genes and virulence traits. While highly informative, the application of metagenomics to large patient cohorts can be prohibitively expensive. Using sputum samples from a randomised placebo-controlled trial of erythromycin in adults with bronchiectasis, we describe a novel, cost-effective strategy for screening patient cohorts for changes in resistance gene prevalence. By combining metagenomic screening of pooled DNA extracts with validatory quantitative PCR-based analysis of candidate markers in individual samples, we identify population-level changes in the relative abundance of specific macrolide resistance genes. This approach has the potential to provide an important adjunct to current analytical strategies, particularly within the context of antimicrobial clinical trials. 2018 Journal Article http://hdl.handle.net/20.500.11937/80732 10.1186/s40248-018-0140-9 eng http://purl.org/au-research/grants/nhmrc/1104000 http://creativecommons.org/licenses/by/4.0/ fulltext
spellingShingle Antibiotic therapy
DNA
Metagenomic screening
Taylor, S.L.
Leong, L.E.X.
Mobegi, Fredrick
Choo, J.M.
Burr, L.D.
Wesselingh, S.
Rogers, G.B.
Understanding the impact of antibiotic therapies on the respiratory tract resistome: A novel pooled-template metagenomic sequencing strategy
title Understanding the impact of antibiotic therapies on the respiratory tract resistome: A novel pooled-template metagenomic sequencing strategy
title_full Understanding the impact of antibiotic therapies on the respiratory tract resistome: A novel pooled-template metagenomic sequencing strategy
title_fullStr Understanding the impact of antibiotic therapies on the respiratory tract resistome: A novel pooled-template metagenomic sequencing strategy
title_full_unstemmed Understanding the impact of antibiotic therapies on the respiratory tract resistome: A novel pooled-template metagenomic sequencing strategy
title_short Understanding the impact of antibiotic therapies on the respiratory tract resistome: A novel pooled-template metagenomic sequencing strategy
title_sort understanding the impact of antibiotic therapies on the respiratory tract resistome: a novel pooled-template metagenomic sequencing strategy
topic Antibiotic therapy
DNA
Metagenomic screening
url http://purl.org/au-research/grants/nhmrc/1104000
http://hdl.handle.net/20.500.11937/80732