Impact of sequencing depth on the characterization of the microbiome and resistome
- DOI
- Language of the publication
- English
- Date
- 2018-04-12
- Type
- Article
- Author(s)
- Zaheer, Rahat
- Noyes, Noelle
- Ortega Polo, Rodrigo
- Cook, Shaun R.
- Marinier, Eric
- Van Domselaar, Gary
- Belk, Keith E.
- Morley, Paul S.
- McAllister, Tim A.
- Publisher
- Nature Publishing Group
Abstract
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.
Subject
- Agriculture
Rights
Peer review
Yes
Open access level
Gold
Article
- Journal title
- Scientific Reports
- Journal volume
- 8
- Journal issue
- 1
- Article number
- 5890
- Accepted date
- 2018-03-23
- Submitted date
- 2017-11-28
Citation(s)
Zaheer, R., Noyes, N., Ortega Polo, R., Cook, S. R., Marinier, E., Van Domselaar, G., Belk, K. E., Morley, P. S., & McAllister, T. A. (2018). Impact of sequencing depth on the characterization of the microbiome and resistome. Scientific Reports, 8(1), Article 5890. https://doi.org/10.1038/s41598-018-24280-8