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Benchmarking microbial DNA enrichment protocols from human intestinal biopsies

Shotgun metagenomic sequencing is a powerful tool for studying bacterial communities in their natural habitats or sites of infection, without the need for cultivation. However, low microbial signals in metagenomic sequencing can be overwhelmed by host DNA contamination, resulting in decreased sensit...

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Autores principales: Marchukov, Dmitrij, Li, Jiaqi, Juillerat, Pascal, Misselwitz, Benjamin, Yilmaz, Bahtiyar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10169731/
https://www.ncbi.nlm.nih.gov/pubmed/37180976
http://dx.doi.org/10.3389/fgene.2023.1184473
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author Marchukov, Dmitrij
Li, Jiaqi
Juillerat, Pascal
Misselwitz, Benjamin
Yilmaz, Bahtiyar
author_facet Marchukov, Dmitrij
Li, Jiaqi
Juillerat, Pascal
Misselwitz, Benjamin
Yilmaz, Bahtiyar
author_sort Marchukov, Dmitrij
collection PubMed
description Shotgun metagenomic sequencing is a powerful tool for studying bacterial communities in their natural habitats or sites of infection, without the need for cultivation. However, low microbial signals in metagenomic sequencing can be overwhelmed by host DNA contamination, resulting in decreased sensitivity for microbial read detection. Several commercial kits and other methods have been developed to enrich bacterial sequences; however, these assays have not been tested extensively for human intestinal tissues yet. Therefore, the objective of this study was to assess the effectiveness of various wet-lab and software-based approaches for depleting host DNA from microbiome samples. Four different microbiome DNA enrichment methods, namely the NEBNext Microbiome DNA Enrichment kit, Molzym Ultra-Deep Microbiome Prep, QIAamp DNA Microbiome kit, and Zymo HostZERO microbial DNA kit, were evaluated, along with a software-controlled adaptive sampling (AS) approach by Oxford Nanopore Technologies (ONT) providing microbial signal enrichment by aborting unwanted host DNA sequencing. The NEBNext and QIAamp kits proved to be effective in shotgun metagenomic sequencing studies, as they efficiently reduced host DNA contamination, resulting in 24% and 28% bacterial DNA sequences, respectively, compared to <1% in the AllPrep controls. Additional optimization steps using further detergents and bead-beating steps improved the efficacy of less efficient protocols but not of the QIAamp kit. In contrast, ONT AS increased the overall number of bacterial reads resulting in a better bacterial metagenomic assembly with more bacterial contigs with greater completeness compared to non-AS approaches. Additionally, AS also allowed for the recovery of antimicrobial resistance markers and the identification of plasmids, demonstrating the potential utility of AS for targeted sequencing of microbial signals in complex samples with high amounts of host DNA. However, ONT AS resulted in relevant shifts in the observed bacterial abundance, including 2 to 5 times more Escherichia coli reads. Furthermore, a modest enrichment of Bacteroides fragilis and Bacteroides thetaiotaomicron was also observed with AS. Overall, this study provides insight into the efficacy and limitations of various methods for reducing host DNA contamination in human intestinal samples to improve the utility of metagenomic sequencing.
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spelling pubmed-101697312023-05-11 Benchmarking microbial DNA enrichment protocols from human intestinal biopsies Marchukov, Dmitrij Li, Jiaqi Juillerat, Pascal Misselwitz, Benjamin Yilmaz, Bahtiyar Front Genet Genetics Shotgun metagenomic sequencing is a powerful tool for studying bacterial communities in their natural habitats or sites of infection, without the need for cultivation. However, low microbial signals in metagenomic sequencing can be overwhelmed by host DNA contamination, resulting in decreased sensitivity for microbial read detection. Several commercial kits and other methods have been developed to enrich bacterial sequences; however, these assays have not been tested extensively for human intestinal tissues yet. Therefore, the objective of this study was to assess the effectiveness of various wet-lab and software-based approaches for depleting host DNA from microbiome samples. Four different microbiome DNA enrichment methods, namely the NEBNext Microbiome DNA Enrichment kit, Molzym Ultra-Deep Microbiome Prep, QIAamp DNA Microbiome kit, and Zymo HostZERO microbial DNA kit, were evaluated, along with a software-controlled adaptive sampling (AS) approach by Oxford Nanopore Technologies (ONT) providing microbial signal enrichment by aborting unwanted host DNA sequencing. The NEBNext and QIAamp kits proved to be effective in shotgun metagenomic sequencing studies, as they efficiently reduced host DNA contamination, resulting in 24% and 28% bacterial DNA sequences, respectively, compared to <1% in the AllPrep controls. Additional optimization steps using further detergents and bead-beating steps improved the efficacy of less efficient protocols but not of the QIAamp kit. In contrast, ONT AS increased the overall number of bacterial reads resulting in a better bacterial metagenomic assembly with more bacterial contigs with greater completeness compared to non-AS approaches. Additionally, AS also allowed for the recovery of antimicrobial resistance markers and the identification of plasmids, demonstrating the potential utility of AS for targeted sequencing of microbial signals in complex samples with high amounts of host DNA. However, ONT AS resulted in relevant shifts in the observed bacterial abundance, including 2 to 5 times more Escherichia coli reads. Furthermore, a modest enrichment of Bacteroides fragilis and Bacteroides thetaiotaomicron was also observed with AS. Overall, this study provides insight into the efficacy and limitations of various methods for reducing host DNA contamination in human intestinal samples to improve the utility of metagenomic sequencing. Frontiers Media S.A. 2023-04-26 /pmc/articles/PMC10169731/ /pubmed/37180976 http://dx.doi.org/10.3389/fgene.2023.1184473 Text en Copyright © 2023 Marchukov, Li, Juillerat, Misselwitz and Yilmaz. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Marchukov, Dmitrij
Li, Jiaqi
Juillerat, Pascal
Misselwitz, Benjamin
Yilmaz, Bahtiyar
Benchmarking microbial DNA enrichment protocols from human intestinal biopsies
title Benchmarking microbial DNA enrichment protocols from human intestinal biopsies
title_full Benchmarking microbial DNA enrichment protocols from human intestinal biopsies
title_fullStr Benchmarking microbial DNA enrichment protocols from human intestinal biopsies
title_full_unstemmed Benchmarking microbial DNA enrichment protocols from human intestinal biopsies
title_short Benchmarking microbial DNA enrichment protocols from human intestinal biopsies
title_sort benchmarking microbial dna enrichment protocols from human intestinal biopsies
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10169731/
https://www.ncbi.nlm.nih.gov/pubmed/37180976
http://dx.doi.org/10.3389/fgene.2023.1184473
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