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Highly multiplexed targeted sequencing strategy for infectious disease surveillance

BACKGROUND: Global efforts to characterize diseases of poverty are hampered by lack of affordable and comprehensive detection platforms, resulting in suboptimal allocation of health care resources and inefficient disease control. Next generation sequencing (NGS) can provide accurate data and high th...

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Autores principales: Hernández-Neuta, Iván, Magoulopoulou, Anastasia, Pineiro, Flor, Lisby, Jan Gorm, Gulberg, Mats, Nilsson, Mats
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463907/
https://www.ncbi.nlm.nih.gov/pubmed/37612665
http://dx.doi.org/10.1186/s12896-023-00804-7
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author Hernández-Neuta, Iván
Magoulopoulou, Anastasia
Pineiro, Flor
Lisby, Jan Gorm
Gulberg, Mats
Nilsson, Mats
author_facet Hernández-Neuta, Iván
Magoulopoulou, Anastasia
Pineiro, Flor
Lisby, Jan Gorm
Gulberg, Mats
Nilsson, Mats
author_sort Hernández-Neuta, Iván
collection PubMed
description BACKGROUND: Global efforts to characterize diseases of poverty are hampered by lack of affordable and comprehensive detection platforms, resulting in suboptimal allocation of health care resources and inefficient disease control. Next generation sequencing (NGS) can provide accurate data and high throughput. However, shotgun and metagenome-based NGS approaches are limited by low concentrations of microbial DNA in clinical samples, requirements for tailored sample and library preparations plus extensive bioinformatics analysis. Here, we adapted molecular inversion probes (MIPs) as a cost-effective target enrichment approach to characterize microbial infections from blood samples using short-read sequencing. We designed a probe panel targeting 2 bacterial genera, 21 bacterial and 6 fungi species and 7 antimicrobial resistance markers (AMRs). RESULTS: Our approach proved to be highly specific to detect down to 1 in a 1000 pathogen DNA targets contained in host DNA. Additionally, we were able to accurately survey pathogens and AMRs in 20 out of 24 samples previously profiled with routine blood culture for sepsis. CONCLUSIONS: Overall, our targeted assay identifies microbial pathogens and AMRs with high specificity at high throughput, without the need for extensive sample preparation or bioinformatics analysis, simplifying its application for characterization and surveillance of infectious diseases in medium- to low- resource settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12896-023-00804-7.
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spelling pubmed-104639072023-08-30 Highly multiplexed targeted sequencing strategy for infectious disease surveillance Hernández-Neuta, Iván Magoulopoulou, Anastasia Pineiro, Flor Lisby, Jan Gorm Gulberg, Mats Nilsson, Mats BMC Biotechnol Research BACKGROUND: Global efforts to characterize diseases of poverty are hampered by lack of affordable and comprehensive detection platforms, resulting in suboptimal allocation of health care resources and inefficient disease control. Next generation sequencing (NGS) can provide accurate data and high throughput. However, shotgun and metagenome-based NGS approaches are limited by low concentrations of microbial DNA in clinical samples, requirements for tailored sample and library preparations plus extensive bioinformatics analysis. Here, we adapted molecular inversion probes (MIPs) as a cost-effective target enrichment approach to characterize microbial infections from blood samples using short-read sequencing. We designed a probe panel targeting 2 bacterial genera, 21 bacterial and 6 fungi species and 7 antimicrobial resistance markers (AMRs). RESULTS: Our approach proved to be highly specific to detect down to 1 in a 1000 pathogen DNA targets contained in host DNA. Additionally, we were able to accurately survey pathogens and AMRs in 20 out of 24 samples previously profiled with routine blood culture for sepsis. CONCLUSIONS: Overall, our targeted assay identifies microbial pathogens and AMRs with high specificity at high throughput, without the need for extensive sample preparation or bioinformatics analysis, simplifying its application for characterization and surveillance of infectious diseases in medium- to low- resource settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12896-023-00804-7. BioMed Central 2023-08-23 /pmc/articles/PMC10463907/ /pubmed/37612665 http://dx.doi.org/10.1186/s12896-023-00804-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Hernández-Neuta, Iván
Magoulopoulou, Anastasia
Pineiro, Flor
Lisby, Jan Gorm
Gulberg, Mats
Nilsson, Mats
Highly multiplexed targeted sequencing strategy for infectious disease surveillance
title Highly multiplexed targeted sequencing strategy for infectious disease surveillance
title_full Highly multiplexed targeted sequencing strategy for infectious disease surveillance
title_fullStr Highly multiplexed targeted sequencing strategy for infectious disease surveillance
title_full_unstemmed Highly multiplexed targeted sequencing strategy for infectious disease surveillance
title_short Highly multiplexed targeted sequencing strategy for infectious disease surveillance
title_sort highly multiplexed targeted sequencing strategy for infectious disease surveillance
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463907/
https://www.ncbi.nlm.nih.gov/pubmed/37612665
http://dx.doi.org/10.1186/s12896-023-00804-7
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