Fitzpatrick, David A. and Walsh, Fiona (2016) Antibiotic resistance genes across a wide variety of metagenomes. FEMS Microbiology Ecology, 92 (2). fiv168. ISSN 1574-6941
Preview
FW-Antibiotic-metagenomes-2016.pdf
Download (673kB) | Preview
Abstract
The distribution of potential clinically relevant antibiotic resistance (AR) genes across soil, water, animal, plant and human microbiomes is not well understood. We aimed to investigate if there were differences in the distribution and relative abundances of resistance genes across a variety of ecological niches. All sequence reads (human, animal, water, soil, plant and insect metagenomes) from the MG-RAST database were downloaded and assembled into a local sequence database. We show that there are many reservoirs of the basic form of resistance genes e.g. blaTEM, but the human and mammalian gut microbiomes contain the widest diversity of clinically relevant resistance genes using metagenomic analysis. The human microbiomes contained a high relative abundance of resistance genes, while the relative abundances varied greatly in the marine and soil metagenomes, when datasets with greater than one million genes were compared. While these results reflect a bias in the distribution of AR genes across the metagenomes, we note this interpretation with caution. Metagenomics analysis includes limits in terms of detection and identification of AR genes in complex and diverse microbiome population. Therefore, if we do not detect the AR gene is it in fact not there or just below the limits of our techniques?
Item Type: | Article |
---|---|
Keywords: | resistome; microbiome; metagenome; soil; animal; gut; |
Academic Unit: | Faculty of Science and Engineering > Biology |
Item ID: | 10783 |
Identification Number: | 10.1093/femsec/fiv168 |
Depositing User: | Fiona Walsh |
Date Deposited: | 15 May 2019 14:04 |
Journal or Publication Title: | FEMS Microbiology Ecology |
Publisher: | Oxford University Press |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/10783 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year