Content area

Abstract

It has been proposed that livestock production effluents such as wastewater, airborne dust and manure increase the density of antimicrobial resistant bacteria and genes in the environment. The public health risk posed by this proposed outcome has been difficult to quantify using traditional microbiological approaches. We utilized shotgun metagenomics to provide a first description of the resistome of North American dairy and beef production effluents, and identify factors that significantly impact this resistome. We identified 34 mechanisms of antimicrobial drug resistance within 34 soil, manure and wastewater samples from feedlot, ranch and dairy operations. The majority of resistance-associated sequences found in all samples belonged to tetracycline resistance mechanisms. We found that the ranch samples contained significantly fewer resistance mechanisms than dairy and feedlot samples, and that the resistome of dairy operations differed significantly from that of feedlots. The resistome in soil, manure and wastewater differed, suggesting that management of these effluents should be tailored appropriately. By providing a baseline of the cattle production waste resistome, this study represents a solid foundation for future efforts to characterize and quantify the public health risk posed by livestock effluents.

Details

1009240
Identifier / keyword
Title
Characterization of the resistome in manure, soil and wastewater from dairy and beef production systems
Volume
6
Pages
24645
Number of pages
12
Publication year
2016
Publication date
Apr 2016
Publisher
Nature Publishing Group
Place of publication
London
Country of publication
United States
Publication subject
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
ProQuest document ID
1898682613
Document URL
https://www.proquest.com/scholarly-journals/characterization-resistome-manure-soil-wastewater/docview/1898682613/se-2?accountid=208611
Copyright
Copyright Nature Publishing Group Apr 2016
Last updated
2024-10-04
Database
2 databases
  • ProQuest One Academic
  • ProQuest One Academic