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Impact of sequencing depth on the characterization of the microbiome and resistome

Developments in high-throughput next generation sequencing (NGS) technology have rapidly advanced the understanding of overall microbial ecology as well as occurrence and diversity of specific genes within diverse environments. In the present study, we compared the ability of varying sequencing dept...

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Autores principales: Zaheer, Rahat, Noyes, Noelle, Ortega Polo, Rodrigo, Cook, Shaun R., Marinier, Eric, Van Domselaar, Gary, Belk, Keith E., Morley, Paul S., McAllister, Tim A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5897366/
https://www.ncbi.nlm.nih.gov/pubmed/29651035
http://dx.doi.org/10.1038/s41598-018-24280-8
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author Zaheer, Rahat
Noyes, Noelle
Ortega Polo, Rodrigo
Cook, Shaun R.
Marinier, Eric
Van Domselaar, Gary
Belk, Keith E.
Morley, Paul S.
McAllister, Tim A.
author_facet Zaheer, Rahat
Noyes, Noelle
Ortega Polo, Rodrigo
Cook, Shaun R.
Marinier, Eric
Van Domselaar, Gary
Belk, Keith E.
Morley, Paul S.
McAllister, Tim A.
author_sort Zaheer, Rahat
collection PubMed
description Developments in high-throughput next generation sequencing (NGS) technology have rapidly advanced the understanding of overall microbial ecology as well as occurrence and diversity of specific genes within diverse environments. In the present study, we compared the ability of varying sequencing depths to generate meaningful information about the taxonomic structure and prevalence of antimicrobial resistance genes (ARGs) in the bovine fecal microbial community. Metagenomic sequencing was conducted on eight composite fecal samples originating from four beef cattle feedlots. Metagenomic DNA was sequenced to various depths, D1, D0.5 and D0.25, with average sample read counts of 117, 59 and 26 million, respectively. A comparative analysis of the relative abundance of reads aligning to different phyla and antimicrobial classes indicated that the relative proportions of read assignments remained fairly constant regardless of depth. However, the number of reads being assigned to ARGs as well as to microbial taxa increased significantly with increasing depth. We found a depth of D0.5 was suitable to describe the microbiome and resistome of cattle fecal samples. This study helps define a balance between cost and required sequencing depth to acquire meaningful results.
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spelling pubmed-58973662018-04-20 Impact of sequencing depth on the characterization of the microbiome and resistome Zaheer, Rahat Noyes, Noelle Ortega Polo, Rodrigo Cook, Shaun R. Marinier, Eric Van Domselaar, Gary Belk, Keith E. Morley, Paul S. McAllister, Tim A. Sci Rep Article Developments in high-throughput next generation sequencing (NGS) technology have rapidly advanced the understanding of overall microbial ecology as well as occurrence and diversity of specific genes within diverse environments. In the present study, we compared the ability of varying sequencing depths to generate meaningful information about the taxonomic structure and prevalence of antimicrobial resistance genes (ARGs) in the bovine fecal microbial community. Metagenomic sequencing was conducted on eight composite fecal samples originating from four beef cattle feedlots. Metagenomic DNA was sequenced to various depths, D1, D0.5 and D0.25, with average sample read counts of 117, 59 and 26 million, respectively. A comparative analysis of the relative abundance of reads aligning to different phyla and antimicrobial classes indicated that the relative proportions of read assignments remained fairly constant regardless of depth. However, the number of reads being assigned to ARGs as well as to microbial taxa increased significantly with increasing depth. We found a depth of D0.5 was suitable to describe the microbiome and resistome of cattle fecal samples. This study helps define a balance between cost and required sequencing depth to acquire meaningful results. Nature Publishing Group UK 2018-04-12 /pmc/articles/PMC5897366/ /pubmed/29651035 http://dx.doi.org/10.1038/s41598-018-24280-8 Text en © The Author(s) 2018 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zaheer, Rahat
Noyes, Noelle
Ortega Polo, Rodrigo
Cook, Shaun R.
Marinier, Eric
Van Domselaar, Gary
Belk, Keith E.
Morley, Paul S.
McAllister, Tim A.
Impact of sequencing depth on the characterization of the microbiome and resistome
title Impact of sequencing depth on the characterization of the microbiome and resistome
title_full Impact of sequencing depth on the characterization of the microbiome and resistome
title_fullStr Impact of sequencing depth on the characterization of the microbiome and resistome
title_full_unstemmed Impact of sequencing depth on the characterization of the microbiome and resistome
title_short Impact of sequencing depth on the characterization of the microbiome and resistome
title_sort impact of sequencing depth on the characterization of the microbiome and resistome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5897366/
https://www.ncbi.nlm.nih.gov/pubmed/29651035
http://dx.doi.org/10.1038/s41598-018-24280-8
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