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Improving saliva shotgun metagenomics by chemical host DNA depletion

BACKGROUND: Shotgun sequencing of microbial communities provides in-depth knowledge of the microbiome by cataloging bacterial, fungal, and viral gene content within a sample, providing an advantage over amplicon sequencing approaches that assess taxonomy but not function and are taxonomically limite...

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Autores principales: Marotz, Clarisse A., Sanders, Jon G., Zuniga, Cristal, Zaramela, Livia S., Knight, Rob, Zengler, Karsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5827986/
https://www.ncbi.nlm.nih.gov/pubmed/29482639
http://dx.doi.org/10.1186/s40168-018-0426-3
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author Marotz, Clarisse A.
Sanders, Jon G.
Zuniga, Cristal
Zaramela, Livia S.
Knight, Rob
Zengler, Karsten
author_facet Marotz, Clarisse A.
Sanders, Jon G.
Zuniga, Cristal
Zaramela, Livia S.
Knight, Rob
Zengler, Karsten
author_sort Marotz, Clarisse A.
collection PubMed
description BACKGROUND: Shotgun sequencing of microbial communities provides in-depth knowledge of the microbiome by cataloging bacterial, fungal, and viral gene content within a sample, providing an advantage over amplicon sequencing approaches that assess taxonomy but not function and are taxonomically limited. However, mammalian DNA can dominate host-derived samples, obscuring changes in microbial populations because few DNA sequence reads are from the microbial component. We developed and optimized a novel method for enriching microbial DNA from human oral samples and compared its efficiency and potential taxonomic bias with commercially available kits. RESULTS: Three commercially available host depletion kits were directly compared with size filtration and a novel method involving osmotic lysis and treatment with propidium monoazide (lyPMA) in human saliva samples. We evaluated the percentage of shotgun metagenomic sequencing reads aligning to the human genome, and taxonomic biases of those not aligning, compared to untreated samples. lyPMA was the most efficient method of removing host-derived sequencing reads compared to untreated sample (8.53 ± 0.10% versus 89.29 ± 0.03%). Furthermore, lyPMA-treated samples exhibit the lowest taxonomic bias compared to untreated samples. CONCLUSION: Osmotic lysis followed by PMA treatment is a cost-effective, rapid, and robust method for enriching microbial sequence data in shotgun metagenomics from fresh and frozen saliva samples and may be extensible to other host-derived sample types. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-018-0426-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-58279862018-02-28 Improving saliva shotgun metagenomics by chemical host DNA depletion Marotz, Clarisse A. Sanders, Jon G. Zuniga, Cristal Zaramela, Livia S. Knight, Rob Zengler, Karsten Microbiome Methodology BACKGROUND: Shotgun sequencing of microbial communities provides in-depth knowledge of the microbiome by cataloging bacterial, fungal, and viral gene content within a sample, providing an advantage over amplicon sequencing approaches that assess taxonomy but not function and are taxonomically limited. However, mammalian DNA can dominate host-derived samples, obscuring changes in microbial populations because few DNA sequence reads are from the microbial component. We developed and optimized a novel method for enriching microbial DNA from human oral samples and compared its efficiency and potential taxonomic bias with commercially available kits. RESULTS: Three commercially available host depletion kits were directly compared with size filtration and a novel method involving osmotic lysis and treatment with propidium monoazide (lyPMA) in human saliva samples. We evaluated the percentage of shotgun metagenomic sequencing reads aligning to the human genome, and taxonomic biases of those not aligning, compared to untreated samples. lyPMA was the most efficient method of removing host-derived sequencing reads compared to untreated sample (8.53 ± 0.10% versus 89.29 ± 0.03%). Furthermore, lyPMA-treated samples exhibit the lowest taxonomic bias compared to untreated samples. CONCLUSION: Osmotic lysis followed by PMA treatment is a cost-effective, rapid, and robust method for enriching microbial sequence data in shotgun metagenomics from fresh and frozen saliva samples and may be extensible to other host-derived sample types. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-018-0426-3) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-27 /pmc/articles/PMC5827986/ /pubmed/29482639 http://dx.doi.org/10.1186/s40168-018-0426-3 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology
Marotz, Clarisse A.
Sanders, Jon G.
Zuniga, Cristal
Zaramela, Livia S.
Knight, Rob
Zengler, Karsten
Improving saliva shotgun metagenomics by chemical host DNA depletion
title Improving saliva shotgun metagenomics by chemical host DNA depletion
title_full Improving saliva shotgun metagenomics by chemical host DNA depletion
title_fullStr Improving saliva shotgun metagenomics by chemical host DNA depletion
title_full_unstemmed Improving saliva shotgun metagenomics by chemical host DNA depletion
title_short Improving saliva shotgun metagenomics by chemical host DNA depletion
title_sort improving saliva shotgun metagenomics by chemical host dna depletion
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5827986/
https://www.ncbi.nlm.nih.gov/pubmed/29482639
http://dx.doi.org/10.1186/s40168-018-0426-3
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